======================= Modified FLAGS detected =======================
FLAGS(name='FLAGS_selected_gpus', current_value='4', default_value='')
FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False)
=======================================================================
I0727 11:19:01.148553  2865 tcp_utils.cc:107] Retry to connect to 127.0.0.1:52742 while the server is not yet listening.
I0727 11:19:04.148708  2865 tcp_utils.cc:130] Successfully connected to 127.0.0.1:52742
I0727 11:19:04.179193  2865 process_group_nccl.cc:120] ProcessGroupNCCL pg_timeout_ 1800000
W0727 11:19:04.196408  2865 gpu_resources.cc:119] Please NOTE: device: 4, GPU Compute Capability: 90.2, Driver API Version: 50724.2, Runtime API Version: 50724.2

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.40it/s]
eval model::   1%|          | 3/500 [00:00<00:34, 14.57it/s]
eval model::   1%|          | 6/500 [00:00<00:25, 19.23it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.73it/s]
eval model::   2%|▏         | 11/500 [00:00<00:26, 18.25it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 19.92it/s]
eval model::   3%|▎         | 16/500 [00:00<00:25, 18.81it/s]
eval model::   4%|▎         | 18/500 [00:00<00:25, 18.87it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.75it/s]
eval model::   4%|▍         | 22/500 [00:01<00:25, 18.87it/s]
eval model::   5%|▌         | 25/500 [00:01<00:23, 20.56it/s]
eval model::   6%|▌         | 28/500 [00:01<00:21, 22.22it/s]
eval model::   6%|▌         | 31/500 [00:01<00:21, 21.74it/s]
eval model::   7%|▋         | 34/500 [00:01<00:21, 21.39it/s]
eval model::   7%|▋         | 37/500 [00:01<00:21, 22.01it/s]
eval model::   8%|▊         | 40/500 [00:01<00:20, 22.19it/s]
eval model::   9%|▊         | 43/500 [00:02<00:20, 21.98it/s]
eval model::   9%|▉         | 46/500 [00:02<00:21, 21.51it/s]
eval model::  10%|▉         | 49/500 [00:02<00:20, 22.02it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 19.47it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 20.54it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:20, 21.28it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:21, 20.40it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:21, 20.71it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:20, 20.65it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 20.70it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 22.03it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:18, 22.48it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:18, 22.36it/s]
eval model::  16%|█▋        | 82/500 [00:03<00:17, 23.78it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 22.09it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:19, 21.20it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:20, 19.93it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 20.15it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:18, 21.24it/s]
eval model::  20%|██        | 100/500 [00:04<00:19, 20.15it/s]
eval model::  21%|██        | 103/500 [00:04<00:18, 21.01it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.45it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 20.77it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 20.94it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 21.27it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:17, 21.54it/s]
eval model::  24%|██▍       | 121/500 [00:05<00:19, 19.66it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.04it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 20.07it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 19.23it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:18, 20.25it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:16, 21.78it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:16, 21.25it/s]
eval model::  28%|██▊       | 142/500 [00:06<00:17, 20.87it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.08it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 19.91it/s]
eval model::  30%|███       | 151/500 [00:07<00:17, 20.04it/s]
eval model::  31%|███       | 154/500 [00:07<00:16, 20.81it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:16, 21.35it/s]
eval model::  32%|███▏      | 160/500 [00:07<00:18, 18.44it/s]
eval model::  33%|███▎      | 163/500 [00:07<00:16, 19.94it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:16, 19.86it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:15, 20.70it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:15, 20.62it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:16, 19.51it/s]
eval model::  36%|███▌      | 178/500 [00:08<00:15, 20.91it/s]
eval model::  36%|███▌      | 181/500 [00:08<00:14, 21.32it/s]
eval model::  37%|███▋      | 184/500 [00:08<00:14, 21.24it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 20.17it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 20.19it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:14, 21.30it/s]
eval model::  39%|███▉      | 196/500 [00:09<00:14, 20.47it/s]
eval model::  40%|███▉      | 199/500 [00:09<00:14, 20.73it/s]
eval model::  40%|████      | 202/500 [00:09<00:13, 21.40it/s]
eval model::  41%|████      | 205/500 [00:09<00:14, 21.03it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:13, 22.38it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:13, 21.92it/s]
eval model::  43%|████▎     | 214/500 [00:10<00:12, 22.43it/s]
eval model::  43%|████▎     | 217/500 [00:10<00:13, 21.48it/s]
eval model::  44%|████▍     | 220/500 [00:10<00:13, 20.00it/s]
eval model::  45%|████▍     | 223/500 [00:10<00:13, 20.25it/s]
eval model::  45%|████▌     | 226/500 [00:10<00:13, 20.14it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:12, 21.05it/s]
eval model::  46%|████▋     | 232/500 [00:11<00:12, 20.62it/s]
eval model::  47%|████▋     | 235/500 [00:11<00:13, 20.09it/s]
eval model::  48%|████▊     | 238/500 [00:11<00:13, 19.46it/s]
eval model::  48%|████▊     | 240/500 [00:11<00:13, 19.41it/s]
eval model::  48%|████▊     | 242/500 [00:11<00:13, 18.64it/s]
eval model::  49%|████▉     | 245/500 [00:11<00:12, 20.34it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:12, 20.37it/s]
eval model::  50%|█████     | 251/500 [00:12<00:12, 19.39it/s]
eval model::  51%|█████     | 253/500 [00:12<00:12, 19.11it/s]
eval model::  51%|█████     | 256/500 [00:12<00:12, 20.17it/s]
eval model::  52%|█████▏    | 259/500 [00:12<00:14, 17.05it/s]
eval model::  52%|█████▏    | 262/500 [00:12<00:13, 17.98it/s]
eval model::  53%|█████▎    | 264/500 [00:12<00:12, 18.16it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 19.55it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:11, 19.53it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:11, 20.12it/s]
eval model::  55%|█████▌    | 276/500 [00:13<00:11, 19.97it/s]
eval model::  56%|█████▌    | 279/500 [00:13<00:11, 19.16it/s]
eval model::  56%|█████▋    | 282/500 [00:13<00:11, 19.05it/s]
eval model::  57%|█████▋    | 284/500 [00:13<00:11, 18.91it/s]
eval model::  57%|█████▋    | 286/500 [00:14<00:11, 18.11it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:11, 18.55it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:11, 18.87it/s]
eval model::  59%|█████▊    | 293/500 [00:14<00:10, 19.00it/s]
eval model::  59%|█████▉    | 296/500 [00:14<00:10, 20.01it/s]
eval model::  60%|█████▉    | 298/500 [00:14<00:10, 19.60it/s]
eval model::  60%|██████    | 301/500 [00:14<00:09, 20.48it/s]
eval model::  61%|██████    | 304/500 [00:14<00:09, 19.86it/s]
eval model::  61%|██████    | 306/500 [00:15<00:10, 18.41it/s]
eval model::  62%|██████▏   | 309/500 [00:15<00:10, 18.73it/s]
eval model::  62%|██████▏   | 311/500 [00:15<00:10, 18.01it/s]
eval model::  63%|██████▎   | 314/500 [00:15<00:10, 18.59it/s]
eval model::  63%|██████▎   | 316/500 [00:15<00:10, 18.02it/s]
eval model::  64%|██████▎   | 318/500 [00:15<00:09, 18.29it/s]
eval model::  64%|██████▍   | 321/500 [00:15<00:09, 19.84it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:08, 20.66it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:07, 21.81it/s]
eval model::  66%|██████▌   | 330/500 [00:16<00:08, 19.58it/s]
eval model::  67%|██████▋   | 333/500 [00:16<00:08, 19.36it/s]
eval model::  67%|██████▋   | 336/500 [00:16<00:08, 20.15it/s]
eval model::  68%|██████▊   | 339/500 [00:16<00:08, 19.92it/s]
eval model::  68%|██████▊   | 342/500 [00:16<00:07, 20.10it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:07, 19.55it/s]
eval model::  70%|██████▉   | 348/500 [00:17<00:07, 21.04it/s]
eval model::  70%|███████   | 351/500 [00:17<00:07, 20.50it/s]
eval model::  71%|███████   | 354/500 [00:17<00:07, 20.44it/s]
eval model::  71%|███████▏  | 357/500 [00:17<00:06, 21.04it/s]
eval model::  72%|███████▏  | 360/500 [00:17<00:06, 20.33it/s]
eval model::  73%|███████▎  | 363/500 [00:17<00:06, 20.88it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:06, 21.75it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 20.87it/s]
eval model::  74%|███████▍  | 372/500 [00:18<00:06, 21.18it/s]
eval model::  75%|███████▌  | 375/500 [00:18<00:06, 20.78it/s]
eval model::  76%|███████▌  | 378/500 [00:18<00:05, 21.18it/s]
eval model::  76%|███████▌  | 381/500 [00:18<00:05, 20.51it/s]
eval model::  77%|███████▋  | 384/500 [00:18<00:05, 21.27it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:05, 20.23it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:05, 21.74it/s]
eval model::  79%|███████▊  | 393/500 [00:19<00:05, 21.10it/s]
eval model::  79%|███████▉  | 396/500 [00:19<00:04, 21.19it/s]
eval model::  80%|███████▉  | 399/500 [00:19<00:05, 19.81it/s]
eval model::  80%|████████  | 402/500 [00:19<00:04, 20.71it/s]
eval model::  81%|████████  | 405/500 [00:19<00:04, 21.17it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:04, 21.05it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:03, 22.28it/s]
eval model::  83%|████████▎ | 414/500 [00:20<00:03, 21.79it/s]
eval model::  83%|████████▎ | 417/500 [00:20<00:03, 21.77it/s]
eval model::  84%|████████▍ | 420/500 [00:20<00:04, 19.69it/s]
eval model::  85%|████████▍ | 423/500 [00:20<00:03, 19.91it/s]
eval model::  85%|████████▌ | 426/500 [00:20<00:03, 20.11it/s]
eval model::  86%|████████▌ | 429/500 [00:21<00:03, 19.77it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 19.67it/s]
eval model::  87%|████████▋ | 434/500 [00:21<00:03, 19.91it/s]
eval model::  87%|████████▋ | 437/500 [00:21<00:02, 21.07it/s]
eval model::  88%|████████▊ | 440/500 [00:21<00:02, 21.26it/s]
eval model::  89%|████████▊ | 443/500 [00:21<00:02, 20.56it/s]
eval model::  89%|████████▉ | 446/500 [00:21<00:02, 20.35it/s]
eval model::  90%|████████▉ | 449/500 [00:22<00:02, 20.12it/s]
eval model::  90%|█████████ | 452/500 [00:22<00:02, 21.46it/s]
eval model::  91%|█████████ | 455/500 [00:22<00:02, 20.87it/s]
eval model::  92%|█████████▏| 458/500 [00:22<00:02, 20.70it/s]
eval model::  92%|█████████▏| 461/500 [00:22<00:02, 19.47it/s]
eval model::  93%|█████████▎| 464/500 [00:22<00:01, 20.01it/s]
eval model::  93%|█████████▎| 467/500 [00:23<00:01, 19.64it/s]
eval model::  94%|█████████▍| 470/500 [00:23<00:01, 20.66it/s]
eval model::  95%|█████████▍| 473/500 [00:23<00:01, 20.00it/s]
eval model::  95%|█████████▌| 476/500 [00:23<00:01, 21.79it/s]
eval model::  96%|█████████▌| 479/500 [00:23<00:01, 20.67it/s]
eval model::  96%|█████████▋| 482/500 [00:23<00:00, 20.98it/s]
eval model::  97%|█████████▋| 485/500 [00:23<00:00, 21.46it/s]
eval model::  98%|█████████▊| 488/500 [00:23<00:00, 20.81it/s]
eval model::  98%|█████████▊| 491/500 [00:24<00:00, 20.24it/s]
eval model::  99%|█████████▉| 494/500 [00:24<00:00, 19.78it/s]
eval model::  99%|█████████▉| 497/500 [00:24<00:00, 20.31it/s]
eval model:: 100%|██████████| 500/500 [00:24<00:00, 21.56it/s]
eval model:: 100%|██████████| 500/500 [00:24<00:00, 20.35it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:33, 14.90it/s]
eval model::   1%|          | 5/500 [00:00<00:22, 21.81it/s]
eval model::   2%|▏         | 8/500 [00:00<00:21, 22.98it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 19.49it/s]
eval model::   3%|▎         | 14/500 [00:00<00:23, 20.66it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.83it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 19.09it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.05it/s]
eval model::   5%|▌         | 26/500 [00:01<00:21, 21.96it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.72it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 20.57it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 19.21it/s]
eval model::   8%|▊         | 38/500 [00:01<00:21, 21.45it/s]
eval model::   8%|▊         | 41/500 [00:01<00:21, 21.54it/s]
eval model::   9%|▉         | 44/500 [00:02<00:22, 20.60it/s]
eval model::   9%|▉         | 47/500 [00:02<00:21, 20.80it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 21.25it/s]
eval model::  11%|█         | 53/500 [00:02<00:20, 22.31it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 20.22it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:21, 20.54it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:23, 18.46it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:23, 18.26it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.67it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:24, 17.53it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:25, 16.89it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:22, 19.19it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:22, 18.95it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:21, 19.82it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:21, 19.24it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:21, 19.16it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:23, 18.02it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.14it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:21, 19.00it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:21, 19.10it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 18.61it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:22, 18.09it/s]
eval model::  20%|█▉        | 98/500 [00:04<00:20, 19.79it/s]
eval model::  20%|██        | 100/500 [00:05<00:22, 17.49it/s]
eval model::  21%|██        | 103/500 [00:05<00:21, 18.66it/s]
eval model::  21%|██        | 106/500 [00:05<00:21, 18.76it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:21, 18.59it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:22, 17.25it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:21, 18.23it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:21, 17.52it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:22, 17.16it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:21, 17.88it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.70it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:17, 21.44it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:19, 18.67it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:19, 18.73it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:17, 20.49it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.90it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:19, 18.47it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.55it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 20.20it/s]
eval model::  30%|███       | 151/500 [00:07<00:20, 17.40it/s]
eval model::  31%|███       | 154/500 [00:07<00:17, 19.46it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:18, 18.17it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:18, 18.05it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:17, 19.60it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:15, 21.20it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:15, 20.93it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:15, 20.66it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:16, 20.19it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:15, 20.73it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:16, 19.10it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 18.59it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:17, 18.27it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 19.99it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 19.68it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.77it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.14it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.37it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.52it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 14.78it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:19, 15.12it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:18, 15.69it/s]
eval model::  43%|████▎     | 214/500 [00:11<00:16, 17.84it/s]
eval model::  43%|████▎     | 216/500 [00:11<00:17, 16.01it/s]
eval model::  44%|████▎     | 218/500 [00:11<00:17, 15.69it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:17, 15.56it/s]
eval model::  45%|████▍     | 223/500 [00:11<00:17, 16.07it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:15, 17.85it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:13, 20.13it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 23.45it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:10, 24.10it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 23.36it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:11, 23.36it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 21.27it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:12, 20.27it/s]
eval model::  50%|█████     | 251/500 [00:13<00:13, 18.86it/s]
eval model::  51%|█████     | 254/500 [00:13<00:12, 19.02it/s]
eval model::  51%|█████     | 256/500 [00:13<00:13, 17.87it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:11, 20.16it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:11, 21.34it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:11, 20.12it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:11, 20.74it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:10, 21.83it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:11, 20.22it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:11, 19.05it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:10, 21.24it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:11, 19.61it/s]
eval model::  57%|█████▋    | 286/500 [00:14<00:13, 16.43it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:09, 21.69it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:10, 19.91it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:10, 20.24it/s]
eval model::  60%|██████    | 300/500 [00:15<00:10, 19.46it/s]
eval model::  61%|██████    | 303/500 [00:15<00:09, 20.93it/s]
eval model::  61%|██████    | 306/500 [00:15<00:10, 19.19it/s]
eval model::  62%|██████▏   | 309/500 [00:15<00:09, 19.22it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:09, 19.93it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 20.42it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 22.07it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:08, 20.83it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:08, 20.54it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:08, 19.49it/s]
eval model::  66%|██████▌   | 330/500 [00:16<00:08, 19.37it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:08, 20.16it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:08, 19.06it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 18.61it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:09, 17.23it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:08, 18.78it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 20.01it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:07, 19.61it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 20.44it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 20.38it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 20.80it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:07, 19.01it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 17.11it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:07, 17.95it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.30it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:07, 18.11it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:06, 19.37it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:06, 19.26it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 20.47it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 19.84it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 19.52it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:07, 15.53it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 17.43it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 17.98it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 19.34it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 19.46it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 19.72it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 21.81it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 21.24it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 19.84it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:04, 19.55it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 20.51it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 19.32it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 18.98it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:03, 21.19it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 23.37it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 22.48it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 21.70it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:03, 21.19it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 21.24it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 21.61it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 20.32it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 19.67it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 19.63it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 19.99it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 19.85it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:02, 19.87it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:02, 19.22it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:02, 17.54it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 17.63it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 20.30it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 21.07it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 21.65it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 22.22it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 23.71it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 26.27it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 25.30it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 26.25it/s]
eval model::  99%|█████████▊| 493/500 [00:24<00:00, 25.85it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 26.24it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 25.01it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.81it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:55,  8.98it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.12it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.16it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.03it/s]
eval model::   2%|▏         | 10/500 [00:00<00:27, 17.57it/s]
eval model::   2%|▏         | 12/500 [00:00<00:27, 17.83it/s]
eval model::   3%|▎         | 15/500 [00:00<00:25, 19.13it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.91it/s]
eval model::   4%|▍         | 21/500 [00:01<00:23, 20.19it/s]
eval model::   5%|▍         | 24/500 [00:01<00:24, 19.72it/s]
eval model::   5%|▌         | 27/500 [00:01<00:23, 20.57it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 21.66it/s]
eval model::   7%|▋         | 33/500 [00:01<00:21, 21.43it/s]
eval model::   7%|▋         | 36/500 [00:01<00:22, 21.02it/s]
eval model::   8%|▊         | 39/500 [00:02<00:24, 19.16it/s]
eval model::   8%|▊         | 42/500 [00:02<00:22, 20.02it/s]
eval model::   9%|▉         | 45/500 [00:02<00:20, 21.82it/s]
eval model::  10%|▉         | 48/500 [00:02<00:20, 21.85it/s]
eval model::  10%|█         | 51/500 [00:02<00:21, 21.04it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 21.20it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:20, 21.49it/s]
eval model::  12%|█▏        | 60/500 [00:02<00:20, 20.99it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:23, 18.98it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:20, 20.95it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:19, 22.28it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:19, 21.47it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 21.85it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:21, 20.05it/s]
eval model::  16%|█▌        | 81/500 [00:03<00:19, 21.66it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.56it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 19.96it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 18.98it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:20, 19.91it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:19, 20.39it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:19, 20.99it/s]
eval model::  20%|██        | 102/500 [00:05<00:21, 18.49it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 20.30it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:20, 19.35it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 18.68it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:19, 19.91it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:19, 19.26it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:20, 18.65it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:21, 17.24it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.23it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.55it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.29it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:19, 19.28it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:19, 19.28it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:17, 20.23it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:17, 20.28it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.95it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 21.09it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:19, 17.82it/s]
eval model::  30%|███       | 151/500 [00:07<00:20, 16.86it/s]
eval model::  31%|███       | 155/500 [00:07<00:17, 19.91it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:16, 20.63it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:18, 18.24it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:16, 20.46it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:15, 21.59it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 21.74it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:16, 20.21it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:18, 17.70it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.37it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:17, 18.55it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:14, 21.02it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 20.74it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 20.33it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:16, 18.48it/s]
eval model::  39%|███▉      | 197/500 [00:09<00:16, 18.61it/s]
eval model::  40%|████      | 200/500 [00:10<00:16, 18.71it/s]
eval model::  40%|████      | 202/500 [00:10<00:15, 18.85it/s]
eval model::  41%|████      | 204/500 [00:10<00:15, 18.93it/s]
eval model::  41%|████      | 206/500 [00:10<00:21, 13.44it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:21, 13.88it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:20, 14.43it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.86it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.42it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.89it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:17, 15.71it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:17, 15.83it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:15, 17.74it/s]
eval model::  45%|████▌     | 227/500 [00:11<00:13, 19.72it/s]
eval model::  46%|████▌     | 231/500 [00:11<00:11, 23.56it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:12, 21.28it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:11, 22.50it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 23.35it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:12, 20.28it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:11, 21.71it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:11, 21.42it/s]
eval model::  50%|█████     | 252/500 [00:12<00:11, 21.43it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 21.12it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 20.99it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 20.70it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:12, 19.52it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 20.31it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:11, 19.90it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:11, 20.36it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:10, 20.61it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:10, 20.38it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.40it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:12, 16.69it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:11, 18.28it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:10, 19.39it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 18.61it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:11, 17.50it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 19.89it/s]
eval model::  60%|██████    | 302/500 [00:15<00:11, 17.77it/s]
eval model::  61%|██████    | 305/500 [00:15<00:10, 18.85it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:09, 20.35it/s]
eval model::  62%|██████▏   | 311/500 [00:15<00:09, 19.78it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 20.89it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:09, 19.82it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 20.46it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 20.08it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:07, 21.99it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:07, 21.68it/s]
eval model::  66%|██████▋   | 332/500 [00:16<00:07, 21.46it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 20.72it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:07, 20.45it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:09, 16.99it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:07, 20.64it/s]
eval model::  70%|██████▉   | 348/500 [00:17<00:07, 21.02it/s]
eval model::  70%|███████   | 351/500 [00:17<00:07, 20.08it/s]
eval model::  71%|███████   | 354/500 [00:18<00:07, 20.66it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:07, 19.44it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:06, 20.70it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:06, 21.26it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 18.66it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 20.08it/s]
eval model::  74%|███████▍  | 372/500 [00:18<00:06, 21.15it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.41it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:05, 22.13it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 21.15it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 20.76it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:07, 14.54it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:06, 16.28it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:06, 17.49it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 18.73it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:04, 20.72it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 21.10it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 22.01it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:03, 23.46it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:03, 24.82it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 22.80it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:03, 21.27it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 18.08it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 17.20it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 17.37it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 18.96it/s]
eval model::  86%|████████▌ | 430/500 [00:21<00:03, 21.05it/s]
eval model::  87%|████████▋ | 433/500 [00:21<00:03, 22.10it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 23.55it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 23.25it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 21.85it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 21.45it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 20.28it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 21.16it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 18.71it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:02, 20.53it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 20.73it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:02, 18.17it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:02, 16.08it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 18.35it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 20.56it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 19.53it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 21.35it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 20.90it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 20.50it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 18.81it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 20.84it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 19.92it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 20.27it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 22.05it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.77it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:57,  8.63it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.89it/s]
eval model::   1%|▏         | 7/500 [00:00<00:23, 20.70it/s]
eval model::   2%|▏         | 10/500 [00:00<00:25, 19.44it/s]
eval model::   3%|▎         | 13/500 [00:00<00:26, 18.65it/s]
eval model::   3%|▎         | 16/500 [00:00<00:24, 19.94it/s]
eval model::   4%|▍         | 19/500 [00:01<00:26, 18.34it/s]
eval model::   4%|▍         | 22/500 [00:01<00:23, 20.23it/s]
eval model::   5%|▌         | 25/500 [00:01<00:22, 20.89it/s]
eval model::   6%|▌         | 28/500 [00:01<00:22, 21.24it/s]
eval model::   6%|▌         | 31/500 [00:01<00:24, 19.35it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 19.29it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.32it/s]
eval model::   8%|▊         | 40/500 [00:02<00:23, 19.48it/s]
eval model::   8%|▊         | 42/500 [00:02<00:23, 19.12it/s]
eval model::   9%|▉         | 45/500 [00:02<00:22, 20.43it/s]
eval model::  10%|▉         | 48/500 [00:02<00:21, 20.99it/s]
eval model::  10%|█         | 51/500 [00:02<00:20, 21.84it/s]
eval model::  11%|█         | 54/500 [00:02<00:19, 22.39it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:19, 22.24it/s]
eval model::  12%|█▏        | 60/500 [00:02<00:20, 21.72it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:23, 18.32it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:20, 21.51it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.15it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:22, 18.78it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:21, 19.99it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:22, 19.04it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:21, 19.63it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:21, 19.00it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.34it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 18.26it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:20, 19.76it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:20, 19.90it/s]
eval model::  20%|█▉        | 98/500 [00:04<00:19, 20.12it/s]
eval model::  20%|██        | 101/500 [00:05<00:19, 20.54it/s]
eval model::  21%|██        | 105/500 [00:05<00:16, 23.47it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:16, 23.69it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 19.28it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 21.11it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:17, 21.53it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:18, 20.10it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 20.25it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:17, 20.87it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:20, 18.42it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:19, 19.15it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:18, 19.88it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:19, 18.16it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:19, 18.15it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:19, 18.43it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 19.90it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:18, 19.12it/s]
eval model::  30%|███       | 151/500 [00:07<00:20, 17.44it/s]
eval model::  31%|███       | 155/500 [00:07<00:16, 20.87it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:15, 22.69it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:16, 19.94it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:16, 20.87it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:15, 21.40it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:14, 22.26it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:15, 20.72it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:17, 18.54it/s]
eval model::  36%|███▌      | 179/500 [00:08<00:16, 19.98it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:16, 18.95it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:15, 20.32it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:15, 20.05it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:14, 21.62it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:13, 22.49it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:13, 22.07it/s]
eval model::  40%|████      | 201/500 [00:09<00:13, 22.19it/s]
eval model::  41%|████      | 204/500 [00:10<00:12, 23.93it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:16, 17.81it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:16, 17.33it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:15, 18.06it/s]
eval model::  43%|████▎     | 215/500 [00:10<00:15, 18.04it/s]
eval model::  43%|████▎     | 217/500 [00:10<00:16, 17.19it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:14, 19.28it/s]
eval model::  45%|████▍     | 223/500 [00:11<00:13, 20.04it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:13, 20.49it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:11, 23.88it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:11, 23.60it/s]
eval model::  47%|████▋     | 236/500 [00:11<00:11, 22.36it/s]
eval model::  48%|████▊     | 239/500 [00:11<00:11, 23.57it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 19.60it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:12, 19.92it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:13, 19.15it/s]
eval model::  50%|█████     | 250/500 [00:12<00:15, 16.61it/s]
eval model::  51%|█████     | 253/500 [00:12<00:13, 18.63it/s]
eval model::  51%|█████     | 256/500 [00:12<00:12, 19.35it/s]
eval model::  52%|█████▏    | 259/500 [00:12<00:12, 19.42it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:13, 18.28it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:12, 18.37it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:13, 17.77it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:11, 19.35it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:11, 20.57it/s]
eval model::  55%|█████▌    | 275/500 [00:13<00:11, 19.26it/s]
eval model::  56%|█████▌    | 278/500 [00:13<00:11, 19.75it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:12, 17.87it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:10, 19.87it/s]
eval model::  57%|█████▋    | 286/500 [00:14<00:14, 14.66it/s]
eval model::  58%|█████▊    | 289/500 [00:14<00:12, 16.66it/s]
eval model::  58%|█████▊    | 292/500 [00:14<00:11, 18.41it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:12, 16.17it/s]
eval model::  60%|█████▉    | 298/500 [00:15<00:10, 18.40it/s]
eval model::  60%|██████    | 301/500 [00:15<00:11, 17.64it/s]
eval model::  61%|██████    | 304/500 [00:15<00:09, 19.64it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:08, 21.77it/s]
eval model::  62%|██████▏   | 310/500 [00:15<00:08, 22.58it/s]
eval model::  63%|██████▎   | 313/500 [00:15<00:08, 22.86it/s]
eval model::  63%|██████▎   | 316/500 [00:15<00:08, 22.82it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:07, 23.81it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:08, 22.03it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:07, 22.99it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:07, 21.94it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:07, 22.17it/s]
eval model::  67%|██████▋   | 334/500 [00:16<00:07, 21.87it/s]
eval model::  67%|██████▋   | 337/500 [00:16<00:07, 21.20it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:09, 16.92it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:08, 19.23it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 21.38it/s]
eval model::  70%|███████   | 350/500 [00:17<00:06, 23.65it/s]
eval model::  71%|███████   | 353/500 [00:17<00:06, 21.48it/s]
eval model::  71%|███████   | 356/500 [00:17<00:07, 20.21it/s]
eval model::  72%|███████▏  | 359/500 [00:17<00:07, 19.87it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:06, 20.95it/s]
eval model::  73%|███████▎  | 365/500 [00:18<00:06, 19.57it/s]
eval model::  74%|███████▎  | 368/500 [00:18<00:07, 17.23it/s]
eval model::  74%|███████▍  | 371/500 [00:18<00:06, 18.88it/s]
eval model::  75%|███████▍  | 374/500 [00:18<00:06, 20.39it/s]
eval model::  75%|███████▌  | 377/500 [00:18<00:05, 21.63it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:06, 19.90it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:05, 20.48it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:08, 14.16it/s]
eval model::  78%|███████▊  | 389/500 [00:19<00:06, 16.51it/s]
eval model::  78%|███████▊  | 392/500 [00:19<00:05, 18.04it/s]
eval model::  79%|███████▉  | 395/500 [00:19<00:05, 19.24it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:04, 21.55it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 21.85it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 22.66it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:04, 21.62it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:04, 19.39it/s]
eval model::  83%|████████▎ | 414/500 [00:20<00:04, 19.20it/s]
eval model::  83%|████████▎ | 416/500 [00:20<00:04, 17.79it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 18.02it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 16.36it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:04, 18.19it/s]
eval model::  85%|████████▌ | 425/500 [00:21<00:04, 17.66it/s]
eval model::  86%|████████▌ | 429/500 [00:21<00:03, 21.78it/s]
eval model::  86%|████████▋ | 432/500 [00:21<00:02, 22.69it/s]
eval model::  87%|████████▋ | 436/500 [00:21<00:02, 25.45it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 22.12it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 20.51it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 20.51it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 21.45it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 22.06it/s]
eval model::  91%|█████████ | 454/500 [00:22<00:02, 21.49it/s]
eval model::  91%|█████████▏| 457/500 [00:22<00:01, 21.58it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 20.19it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 19.40it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 17.54it/s]
eval model::  94%|█████████▍| 469/500 [00:23<00:01, 21.12it/s]
eval model::  94%|█████████▍| 472/500 [00:23<00:01, 19.93it/s]
eval model::  95%|█████████▌| 475/500 [00:23<00:01, 20.15it/s]
eval model::  96%|█████████▌| 478/500 [00:23<00:01, 21.75it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 21.15it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 20.33it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 19.86it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 18.43it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 18.32it/s]
eval model::  99%|█████████▉| 494/500 [00:24<00:00, 17.65it/s]
eval model::  99%|█████████▉| 497/500 [00:24<00:00, 20.39it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 20.14it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.93it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:57,  8.69it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.03it/s]
eval model::   1%|▏         | 7/500 [00:00<00:24, 19.85it/s]
eval model::   2%|▏         | 9/500 [00:00<00:27, 18.04it/s]
eval model::   2%|▏         | 11/500 [00:00<00:30, 16.02it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.36it/s]
eval model::   3%|▎         | 17/500 [00:00<00:25, 19.16it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.57it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.65it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 19.10it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 20.60it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 20.54it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 19.83it/s]
eval model::   8%|▊         | 38/500 [00:01<00:22, 20.42it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.31it/s]
eval model::   9%|▊         | 43/500 [00:02<00:24, 18.85it/s]
eval model::   9%|▉         | 46/500 [00:02<00:23, 19.64it/s]
eval model::  10%|▉         | 49/500 [00:02<00:20, 21.65it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 20.50it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 20.51it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:20, 21.30it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:23, 19.08it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:23, 18.84it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:19, 22.44it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 20.80it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:21, 20.03it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 21.76it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:19, 21.11it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:20, 20.78it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 20.09it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 19.67it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 18.70it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 19.12it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:18, 21.28it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:17, 22.71it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.24it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.31it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 21.06it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 21.21it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 20.48it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:19, 19.58it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.43it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.42it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.46it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.99it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 19.27it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:17, 20.71it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:16, 21.85it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.47it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.33it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 20.74it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.45it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 20.60it/s]
eval model::  31%|███       | 156/500 [00:07<00:15, 22.73it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:15, 21.53it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:15, 21.28it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:16, 20.45it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 19.11it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 18.06it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:19, 16.65it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:17, 17.96it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:19, 16.73it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 18.42it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 19.77it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.41it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:13, 22.06it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:13, 22.90it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:13, 22.59it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 21.04it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.75it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:21, 13.79it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:20, 13.89it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:19, 14.82it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:18, 15.78it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.29it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 14.08it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 16.11it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 14.70it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:15, 17.31it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:14, 18.93it/s]
eval model::  46%|████▌     | 231/500 [00:11<00:12, 20.86it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:13, 20.39it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:12, 21.90it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 23.53it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:11, 21.92it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:11, 21.35it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:13, 18.82it/s]
eval model::  50%|█████     | 251/500 [00:12<00:14, 17.44it/s]
eval model::  51%|█████     | 255/500 [00:13<00:12, 20.24it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:12, 19.47it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:12, 18.52it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:13, 18.10it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:12, 19.11it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:10, 21.19it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:10, 21.66it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:10, 20.79it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:10, 20.89it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.75it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:14, 14.70it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:13, 16.19it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 17.99it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 17.85it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:12, 16.86it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 18.79it/s]
eval model::  60%|██████    | 301/500 [00:15<00:11, 17.18it/s]
eval model::  61%|██████    | 305/500 [00:15<00:09, 19.91it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:09, 20.89it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.81it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 20.02it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:09, 20.22it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 20.81it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 21.13it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:07, 22.00it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:07, 21.79it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 22.77it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 22.98it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:07, 21.85it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:08, 18.28it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:07, 20.35it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:07, 21.21it/s]
eval model::  70%|███████   | 350/500 [00:17<00:06, 21.82it/s]
eval model::  71%|███████   | 353/500 [00:18<00:07, 20.76it/s]
eval model::  71%|███████   | 356/500 [00:18<00:06, 20.74it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 21.25it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:06, 19.83it/s]
eval model::  73%|███████▎  | 365/500 [00:18<00:06, 19.66it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:07, 18.57it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 19.99it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 21.04it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 21.96it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 22.78it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 22.07it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 22.62it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:07, 15.47it/s]
eval model::  78%|███████▊  | 391/500 [00:19<00:06, 17.82it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 18.91it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:04, 21.02it/s]
eval model::  80%|████████  | 400/500 [00:20<00:04, 20.77it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 20.81it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 22.07it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:03, 22.86it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:03, 22.75it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 21.24it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 19.51it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:04, 16.38it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 17.79it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 18.83it/s]
eval model::  86%|████████▌ | 430/500 [00:21<00:03, 20.05it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 21.19it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:03, 19.57it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:03, 19.60it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 20.48it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 20.84it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 20.53it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 20.94it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 20.81it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:02, 21.17it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 20.59it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:02, 18.08it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:02, 16.76it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 17.95it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 19.41it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 19.20it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 19.23it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 21.06it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 22.26it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 21.99it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 21.31it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 21.82it/s]
eval model::  99%|█████████▊| 493/500 [00:24<00:00, 22.65it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 22.45it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 23.48it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.80it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:54,  9.15it/s]
eval model::   1%|          | 4/500 [00:00<00:25, 19.12it/s]
eval model::   1%|▏         | 7/500 [00:00<00:22, 22.01it/s]
eval model::   2%|▏         | 10/500 [00:00<00:22, 21.39it/s]
eval model::   3%|▎         | 13/500 [00:00<00:22, 21.54it/s]
eval model::   3%|▎         | 16/500 [00:00<00:22, 21.34it/s]
eval model::   4%|▍         | 19/500 [00:00<00:24, 19.39it/s]
eval model::   4%|▍         | 22/500 [00:01<00:23, 20.62it/s]
eval model::   5%|▌         | 25/500 [00:01<00:20, 22.65it/s]
eval model::   6%|▌         | 28/500 [00:01<00:21, 21.88it/s]
eval model::   6%|▌         | 31/500 [00:01<00:21, 21.50it/s]
eval model::   7%|▋         | 34/500 [00:01<00:21, 21.35it/s]
eval model::   7%|▋         | 37/500 [00:01<00:20, 22.65it/s]
eval model::   8%|▊         | 40/500 [00:01<00:22, 20.61it/s]
eval model::   9%|▊         | 43/500 [00:02<00:22, 20.73it/s]
eval model::   9%|▉         | 46/500 [00:02<00:20, 21.87it/s]
eval model::  10%|▉         | 49/500 [00:02<00:20, 22.13it/s]
eval model::  10%|█         | 52/500 [00:02<00:20, 21.63it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 21.05it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:22, 19.32it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:25, 17.15it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.38it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.87it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 22.11it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:18, 22.85it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:18, 23.04it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:19, 21.39it/s]
eval model::  16%|█▋        | 82/500 [00:03<00:20, 20.64it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 20.42it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 18.93it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.21it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.02it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:19, 20.34it/s]
eval model::  20%|██        | 100/500 [00:04<00:18, 22.14it/s]
eval model::  21%|██        | 103/500 [00:04<00:17, 22.65it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.91it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 21.63it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 19.68it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 20.93it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:18, 21.03it/s]
eval model::  24%|██▍       | 121/500 [00:05<00:19, 19.18it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 20.68it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:16, 22.46it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 18.84it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:18, 19.79it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:17, 20.68it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:16, 21.64it/s]
eval model::  28%|██▊       | 142/500 [00:06<00:16, 22.36it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 21.13it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 19.57it/s]
eval model::  30%|███       | 151/500 [00:07<00:18, 19.09it/s]
eval model::  31%|███       | 154/500 [00:07<00:16, 21.06it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:16, 20.80it/s]
eval model::  32%|███▏      | 160/500 [00:07<00:18, 18.07it/s]
eval model::  33%|███▎      | 163/500 [00:07<00:17, 18.99it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:16, 20.50it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 20.05it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:17, 18.89it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:18, 17.55it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:16, 19.00it/s]
eval model::  36%|███▌      | 180/500 [00:08<00:17, 18.31it/s]
eval model::  37%|███▋      | 183/500 [00:08<00:15, 20.75it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.43it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.13it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 20.96it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:15, 20.28it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:15, 19.92it/s]
eval model::  40%|████      | 201/500 [00:09<00:15, 18.95it/s]
eval model::  41%|████      | 204/500 [00:10<00:14, 20.00it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:20, 14.63it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:19, 15.09it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:18, 15.94it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:17, 16.17it/s]
eval model::  43%|████▎     | 215/500 [00:10<00:18, 15.08it/s]
eval model::  43%|████▎     | 217/500 [00:10<00:18, 15.42it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.42it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:16, 16.86it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:13, 20.08it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:11, 23.56it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:11, 23.63it/s]
eval model::  47%|████▋     | 236/500 [00:11<00:11, 22.52it/s]
eval model::  48%|████▊     | 239/500 [00:11<00:10, 23.87it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:11, 23.34it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:10, 23.28it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:10, 24.17it/s]
eval model::  50%|█████     | 251/500 [00:12<00:11, 20.84it/s]
eval model::  51%|█████     | 255/500 [00:12<00:10, 23.11it/s]
eval model::  52%|█████▏    | 258/500 [00:12<00:10, 22.37it/s]
eval model::  52%|█████▏    | 261/500 [00:12<00:11, 20.76it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 20.44it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 20.93it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:11, 20.19it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:11, 19.98it/s]
eval model::  55%|█████▌    | 276/500 [00:13<00:12, 17.80it/s]
eval model::  56%|█████▌    | 279/500 [00:13<00:11, 18.74it/s]
eval model::  56%|█████▋    | 282/500 [00:13<00:10, 20.76it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:15, 14.12it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:13, 16.17it/s]
eval model::  58%|█████▊    | 292/500 [00:14<00:10, 19.53it/s]
eval model::  59%|█████▉    | 295/500 [00:14<00:11, 17.86it/s]
eval model::  60%|█████▉    | 298/500 [00:14<00:10, 19.86it/s]
eval model::  60%|██████    | 301/500 [00:15<00:10, 19.28it/s]
eval model::  61%|██████    | 304/500 [00:15<00:09, 20.32it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:09, 21.11it/s]
eval model::  62%|██████▏   | 310/500 [00:15<00:08, 21.68it/s]
eval model::  63%|██████▎   | 313/500 [00:15<00:08, 22.77it/s]
eval model::  63%|██████▎   | 316/500 [00:15<00:08, 21.89it/s]
eval model::  64%|██████▍   | 320/500 [00:15<00:07, 23.40it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:07, 23.14it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:07, 23.64it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:07, 22.31it/s]
eval model::  66%|██████▋   | 332/500 [00:16<00:07, 21.71it/s]
eval model::  67%|██████▋   | 335/500 [00:16<00:07, 21.64it/s]
eval model::  68%|██████▊   | 338/500 [00:16<00:07, 20.42it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:09, 16.40it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:08, 18.51it/s]
eval model::  70%|██████▉   | 348/500 [00:17<00:07, 21.63it/s]
eval model::  70%|███████   | 351/500 [00:17<00:07, 20.53it/s]
eval model::  71%|███████   | 354/500 [00:17<00:06, 21.47it/s]
eval model::  71%|███████▏  | 357/500 [00:17<00:07, 19.76it/s]
eval model::  72%|███████▏  | 360/500 [00:17<00:06, 20.52it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:06, 19.87it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 17.82it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 19.02it/s]
eval model::  74%|███████▍  | 371/500 [00:18<00:06, 18.44it/s]
eval model::  75%|███████▍  | 374/500 [00:18<00:06, 20.17it/s]
eval model::  75%|███████▌  | 377/500 [00:18<00:06, 19.35it/s]
eval model::  76%|███████▌  | 380/500 [00:18<00:06, 18.74it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:05, 20.80it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:08, 14.08it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:06, 17.71it/s]
eval model::  79%|███████▊  | 393/500 [00:19<00:05, 19.52it/s]
eval model::  79%|███████▉  | 396/500 [00:19<00:05, 20.24it/s]
eval model::  80%|███████▉  | 399/500 [00:19<00:04, 21.62it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 21.73it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 23.49it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:03, 24.15it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:03, 23.31it/s]
eval model::  83%|████████▎ | 414/500 [00:20<00:03, 21.62it/s]
eval model::  83%|████████▎ | 417/500 [00:20<00:04, 20.07it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 16.08it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:05, 15.40it/s]
eval model::  85%|████████▌ | 425/500 [00:21<00:04, 16.59it/s]
eval model::  86%|████████▌ | 428/500 [00:21<00:03, 18.67it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 20.08it/s]
eval model::  87%|████████▋ | 435/500 [00:21<00:02, 22.72it/s]
eval model::  88%|████████▊ | 438/500 [00:21<00:02, 23.19it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:02, 21.01it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 22.45it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 21.52it/s]
eval model::  90%|█████████ | 450/500 [00:22<00:02, 18.94it/s]
eval model::  91%|█████████ | 453/500 [00:22<00:02, 20.13it/s]
eval model::  91%|█████████ | 456/500 [00:22<00:02, 20.65it/s]
eval model::  92%|█████████▏| 459/500 [00:22<00:02, 19.34it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:02, 18.53it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:02, 17.31it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 18.93it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 20.82it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 20.81it/s]
eval model::  96%|█████████▌| 478/500 [00:23<00:00, 23.90it/s]
eval model::  96%|█████████▌| 481/500 [00:23<00:00, 23.35it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 22.15it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 20.08it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 20.06it/s]
eval model::  99%|█████████▊| 493/500 [00:24<00:00, 20.81it/s]
eval model::  99%|█████████▉| 496/500 [00:24<00:00, 19.57it/s]
eval model:: 100%|█████████▉| 499/500 [00:24<00:00, 21.44it/s]
eval model:: 100%|██████████| 500/500 [00:24<00:00, 20.09it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:59,  8.40it/s]
eval model::   1%|          | 3/500 [00:00<00:33, 14.67it/s]
eval model::   1%|          | 5/500 [00:00<00:29, 16.95it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 18.07it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.87it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 18.87it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.05it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.15it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.39it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 20.85it/s]
eval model::   6%|▌         | 29/500 [00:01<00:20, 22.53it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 20.88it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 19.32it/s]
eval model::   8%|▊         | 38/500 [00:01<00:24, 18.72it/s]
eval model::   8%|▊         | 40/500 [00:02<00:26, 17.25it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.64it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.68it/s]
eval model::   9%|▉         | 47/500 [00:02<00:24, 18.23it/s]
eval model::  10%|█         | 50/500 [00:02<00:22, 19.61it/s]
eval model::  11%|█         | 53/500 [00:02<00:21, 20.78it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 20.25it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:20, 21.17it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:25, 17.44it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:26, 16.50it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:23, 18.10it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:21, 19.96it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 20.74it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:20, 21.10it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.17it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:22, 18.44it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:22, 18.42it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.50it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 17.97it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 17.92it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.23it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:19, 20.72it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:18, 21.88it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.50it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.42it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:19, 20.24it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 19.76it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 21.21it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:18, 21.00it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 20.54it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.40it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.52it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 18.94it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.06it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.88it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:16, 21.74it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.93it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.86it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.30it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 20.75it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.87it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 20.74it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:15, 21.57it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:15, 21.95it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:15, 21.10it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:16, 20.71it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:15, 20.73it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:17, 18.68it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:15, 20.59it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:17, 18.42it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.53it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:14, 21.48it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.56it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:13, 23.07it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:14, 20.86it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:14, 21.52it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.32it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.27it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 14.73it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:19, 15.19it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:18, 15.61it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:17, 16.48it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.33it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 15.00it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.41it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 16.21it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 19.05it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:13, 20.17it/s]
eval model::  46%|████▌     | 231/500 [00:11<00:11, 22.57it/s]
eval model::  47%|████▋     | 234/500 [00:11<00:12, 22.06it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:12, 21.44it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 22.32it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:12, 20.04it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:11, 21.20it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:12, 20.23it/s]
eval model::  50%|█████     | 252/500 [00:12<00:12, 20.54it/s]
eval model::  51%|█████     | 255/500 [00:12<00:11, 22.10it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 21.92it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 21.77it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 20.42it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 19.73it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:11, 20.17it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:11, 19.40it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.63it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.75it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.38it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 20.60it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:15, 14.12it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:12, 17.30it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 18.02it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:11, 17.39it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 17.78it/s]
eval model::  60%|██████    | 301/500 [00:15<00:11, 16.84it/s]
eval model::  61%|██████    | 304/500 [00:15<00:10, 18.43it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:09, 20.20it/s]
eval model::  62%|██████▏   | 310/500 [00:15<00:08, 22.32it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:08, 22.81it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:08, 22.18it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:07, 23.53it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:08, 21.13it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:08, 21.47it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:08, 20.50it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:08, 20.03it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 22.09it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:07, 20.45it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:09, 16.31it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:08, 18.85it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 21.16it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:06, 22.85it/s]
eval model::  70%|███████   | 352/500 [00:17<00:06, 22.30it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 20.94it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 21.71it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 19.86it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:06, 20.17it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:06, 20.65it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 21.13it/s]
eval model::  75%|███████▍  | 373/500 [00:18<00:05, 21.20it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 21.25it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 22.24it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 20.83it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 21.42it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:07, 15.38it/s]
eval model::  78%|███████▊  | 391/500 [00:19<00:06, 17.71it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 19.08it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:04, 20.90it/s]
eval model::  80%|████████  | 400/500 [00:20<00:04, 20.13it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 19.42it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 19.60it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:04, 21.11it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:04, 21.19it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 19.07it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 19.39it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 17.04it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:04, 19.02it/s]
eval model::  85%|████████▌ | 425/500 [00:21<00:04, 17.24it/s]
eval model::  86%|████████▌ | 428/500 [00:21<00:03, 19.02it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 19.93it/s]
eval model::  87%|████████▋ | 434/500 [00:22<00:02, 22.26it/s]
eval model::  87%|████████▋ | 437/500 [00:22<00:02, 23.07it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:02, 21.02it/s]
eval model::  89%|████████▊ | 443/500 [00:22<00:02, 22.85it/s]
eval model::  89%|████████▉ | 446/500 [00:22<00:02, 21.22it/s]
eval model::  90%|████████▉ | 449/500 [00:22<00:02, 18.62it/s]
eval model::  90%|█████████ | 452/500 [00:22<00:02, 21.00it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:02, 22.49it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:01, 22.25it/s]
eval model::  92%|█████████▏| 461/500 [00:23<00:01, 20.32it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:01, 19.63it/s]
eval model::  93%|█████████▎| 467/500 [00:23<00:01, 18.72it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 20.88it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 19.93it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 20.77it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 21.43it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 22.50it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 20.81it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 21.45it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 22.11it/s]
eval model::  99%|█████████▉| 495/500 [00:24<00:00, 21.08it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 21.24it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.85it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:04,  7.73it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 17.07it/s]
eval model::   1%|          | 6/500 [00:00<00:29, 16.95it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 16.98it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.56it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.67it/s]
eval model::   3%|▎         | 17/500 [00:00<00:25, 19.23it/s]
eval model::   4%|▍         | 19/500 [00:01<00:25, 18.73it/s]
eval model::   4%|▍         | 22/500 [00:01<00:24, 19.44it/s]
eval model::   5%|▍         | 24/500 [00:01<00:25, 18.82it/s]
eval model::   5%|▌         | 26/500 [00:01<00:27, 17.50it/s]
eval model::   6%|▌         | 29/500 [00:01<00:24, 19.06it/s]
eval model::   6%|▌         | 31/500 [00:01<00:27, 16.88it/s]
eval model::   7%|▋         | 34/500 [00:01<00:26, 17.42it/s]
eval model::   7%|▋         | 37/500 [00:02<00:23, 19.43it/s]
eval model::   8%|▊         | 39/500 [00:02<00:26, 17.48it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.96it/s]
eval model::   9%|▉         | 45/500 [00:02<00:22, 20.09it/s]
eval model::  10%|▉         | 48/500 [00:02<00:22, 20.53it/s]
eval model::  10%|█         | 51/500 [00:02<00:21, 21.38it/s]
eval model::  11%|█         | 54/500 [00:02<00:20, 21.60it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:22, 19.44it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.49it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:27, 15.82it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:26, 16.47it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 19.33it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.25it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 21.57it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 22.12it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:22, 18.80it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:21, 19.29it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:22, 18.76it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:24, 16.70it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:23, 17.32it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:24, 16.83it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:23, 16.97it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 18.74it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.52it/s]
eval model::  20%|██        | 102/500 [00:05<00:18, 21.26it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 20.85it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:19, 19.77it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 19.45it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:18, 20.40it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:19, 20.05it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.81it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:19, 19.29it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:20, 18.55it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:17, 20.68it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:18, 19.76it/s]
eval model::  27%|██▋       | 134/500 [00:07<00:18, 20.15it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:17, 21.00it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:18, 19.18it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:16, 21.07it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 20.58it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:17, 19.85it/s]
eval model::  30%|███       | 152/500 [00:07<00:18, 18.61it/s]
eval model::  31%|███       | 156/500 [00:08<00:15, 21.53it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.94it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:19, 17.57it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 17.98it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 19.03it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 20.74it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:14, 22.84it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:16, 19.82it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.92it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:18, 17.20it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.69it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:13, 22.27it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 20.31it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 21.21it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 21.25it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 21.03it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.66it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:18, 16.27it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:16, 17.07it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:15, 18.55it/s]
eval model::  43%|████▎     | 216/500 [00:11<00:16, 17.05it/s]
eval model::  44%|████▎     | 218/500 [00:11<00:17, 16.46it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:16, 17.15it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:14, 19.41it/s]
eval model::  45%|████▌     | 227/500 [00:11<00:12, 21.12it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:12, 22.43it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 23.53it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:11, 22.33it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:10, 24.19it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:12, 21.02it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 22.94it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:11, 22.17it/s]
eval model::  50%|█████     | 251/500 [00:12<00:11, 20.95it/s]
eval model::  51%|█████     | 254/500 [00:12<00:11, 21.76it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:12, 19.90it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 20.87it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 20.78it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:11, 19.72it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:11, 20.83it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:10, 21.87it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.39it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.95it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.26it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 19.69it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:15, 13.83it/s]
eval model::  58%|█████▊    | 290/500 [00:14<00:12, 16.46it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:11, 18.06it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:12, 16.08it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 18.46it/s]
eval model::  60%|██████    | 302/500 [00:15<00:11, 17.39it/s]
eval model::  61%|██████    | 305/500 [00:15<00:10, 18.54it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:09, 20.03it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 19.87it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 20.11it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 21.17it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:07, 23.01it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 20.84it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:07, 21.91it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:07, 21.58it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 20.08it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 20.98it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 19.85it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:10, 15.65it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:08, 19.22it/s]
eval model::  70%|██████▉   | 348/500 [00:17<00:07, 20.86it/s]
eval model::  70%|███████   | 351/500 [00:17<00:07, 21.28it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 21.40it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:07, 20.08it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:06, 20.22it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:06, 20.10it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 19.07it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 19.60it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 20.21it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.60it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:04, 24.72it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 23.17it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:04, 23.30it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:06, 16.93it/s]
eval model::  78%|███████▊  | 391/500 [00:19<00:05, 19.25it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 18.06it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 19.97it/s]
eval model::  80%|████████  | 400/500 [00:20<00:04, 20.35it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 22.12it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 21.57it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:03, 22.85it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:03, 22.02it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 21.04it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 20.40it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:04, 16.30it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 17.29it/s]
eval model::  85%|████████▌ | 426/500 [00:21<00:04, 17.40it/s]
eval model::  86%|████████▌ | 429/500 [00:21<00:03, 19.60it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 20.12it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:02, 22.06it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:02, 23.97it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:02, 23.18it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 22.37it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 23.36it/s]
eval model::  90%|█████████ | 450/500 [00:22<00:02, 21.50it/s]
eval model::  91%|█████████ | 453/500 [00:22<00:02, 22.40it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:01, 22.71it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:01, 21.02it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:01, 19.79it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 18.83it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 20.38it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 21.22it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 20.75it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 22.54it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 20.32it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 21.03it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 20.08it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 21.02it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 19.97it/s]
eval model::  99%|█████████▉| 495/500 [00:24<00:00, 19.75it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 21.28it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.85it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:49,  9.99it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.67it/s]
eval model::   1%|          | 6/500 [00:00<00:31, 15.67it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.08it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.97it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 19.78it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.81it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.19it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.57it/s]
eval model::   5%|▌         | 26/500 [00:01<00:21, 21.69it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 20.55it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 20.28it/s]
eval model::   7%|▋         | 35/500 [00:01<00:26, 17.82it/s]
eval model::   8%|▊         | 38/500 [00:02<00:25, 18.34it/s]
eval model::   8%|▊         | 40/500 [00:02<00:26, 17.46it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.27it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.39it/s]
eval model::   9%|▉         | 47/500 [00:02<00:23, 19.13it/s]
eval model::  10%|█         | 50/500 [00:02<00:22, 20.13it/s]
eval model::  11%|█         | 53/500 [00:02<00:20, 21.58it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 20.41it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:22, 19.28it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.49it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 16.04it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 20.37it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 21.94it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:18, 22.75it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:18, 23.33it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.14it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.48it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 21.56it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 18.91it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.19it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 18.68it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:19, 20.79it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:18, 21.36it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.65it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.47it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.55it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 18.60it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 20.48it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 20.34it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.15it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:20, 18.73it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.07it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.15it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.20it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 17.91it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:20, 17.99it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:18, 19.26it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.66it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.62it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:18, 19.33it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:20, 17.62it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 18.44it/s]
eval model::  30%|███       | 152/500 [00:07<00:19, 18.27it/s]
eval model::  31%|███       | 155/500 [00:07<00:16, 20.41it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 20.37it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.78it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 18.00it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 18.27it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:17, 19.25it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:17, 19.00it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 17.01it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.59it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.58it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:16, 18.92it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:15, 20.84it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:15, 20.21it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:14, 21.62it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:13, 22.42it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:14, 20.48it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 21.21it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 20.20it/s]
eval model::  41%|████      | 206/500 [00:10<00:18, 15.74it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 15.93it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:18, 16.06it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:16, 17.37it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:17, 16.38it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.60it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.21it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:16, 17.00it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 19.54it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:13, 19.50it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:12, 21.75it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:12, 21.74it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:11, 22.20it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 23.41it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:11, 22.22it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:11, 21.85it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:12, 19.96it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 20.06it/s]
eval model::  51%|█████     | 255/500 [00:13<00:12, 20.10it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 20.17it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:12, 19.07it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:12, 18.37it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:12, 19.16it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:12, 18.54it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.69it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 18.66it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:11, 18.74it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:11, 19.92it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:10, 21.08it/s]
eval model::  57%|█████▋    | 286/500 [00:14<00:14, 14.86it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:12, 17.26it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:10, 19.16it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:12, 15.86it/s]
eval model::  60%|█████▉    | 298/500 [00:15<00:11, 17.61it/s]
eval model::  60%|██████    | 301/500 [00:15<00:11, 17.69it/s]
eval model::  61%|██████    | 304/500 [00:15<00:10, 19.34it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:09, 20.98it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:08, 22.80it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:08, 22.84it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:08, 21.80it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:07, 23.36it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:08, 21.54it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:07, 22.34it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:09, 18.06it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:09, 17.71it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:08, 20.33it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 21.15it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:08, 19.68it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:10, 15.62it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:08, 18.08it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:07, 19.61it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 21.21it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 22.56it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:06, 21.60it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:06, 21.81it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:06, 20.77it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 18.52it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:07, 18.69it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:06, 19.46it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:05, 21.18it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 20.61it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:06, 19.72it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 21.42it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:07, 14.80it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 16.79it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:05, 18.58it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 19.41it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:05, 19.17it/s]
eval model::  80%|████████  | 402/500 [00:20<00:05, 19.17it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 20.13it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 21.66it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 22.61it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:04, 21.24it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 20.15it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 16.90it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 17.15it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.55it/s]
eval model::  85%|████████▌ | 427/500 [00:22<00:04, 18.01it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 20.71it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 20.91it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 22.23it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 23.48it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 23.76it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 24.94it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 22.71it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 22.28it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 21.34it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:02, 21.04it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 20.99it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 19.66it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:01, 19.22it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 20.15it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 20.42it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 18.89it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 19.38it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 20.24it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 20.62it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 19.11it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 19.94it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 19.90it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 20.46it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 21.61it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.54it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:58,  8.59it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.13it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 18.09it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.62it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.97it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 19.03it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.61it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.91it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.60it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.27it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 20.80it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.24it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.63it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.81it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.72it/s]
eval model::   9%|▊         | 43/500 [00:02<00:23, 19.26it/s]
eval model::   9%|▉         | 46/500 [00:02<00:24, 18.74it/s]
eval model::  10%|▉         | 49/500 [00:02<00:21, 20.53it/s]
eval model::  10%|█         | 52/500 [00:02<00:20, 21.52it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.42it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:21, 20.86it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.85it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.88it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.63it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.49it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 19.93it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:22, 19.28it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:22, 18.95it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:20, 20.63it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 21.51it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:20, 20.21it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:21, 18.74it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:20, 20.14it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:20, 20.13it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:18, 21.57it/s]
eval model::  20%|██        | 101/500 [00:05<00:19, 20.28it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 21.61it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:17, 22.83it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:16, 23.76it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:15, 24.43it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:15, 25.16it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:14, 25.97it/s]
eval model::  24%|██▍       | 122/500 [00:05<00:15, 24.99it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:17, 21.50it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:15, 23.29it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:17, 21.60it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:17, 20.87it/s]
eval model::  27%|██▋       | 137/500 [00:06<00:17, 20.33it/s]
eval model::  28%|██▊       | 140/500 [00:06<00:19, 18.41it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:18, 19.79it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 20.76it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:18, 18.67it/s]
eval model::  30%|███       | 151/500 [00:07<00:20, 16.90it/s]
eval model::  31%|███       | 154/500 [00:07<00:18, 19.19it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:17, 19.94it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:20, 16.37it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:20, 16.23it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:20, 16.44it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:19, 17.18it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:19, 17.31it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.69it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:17, 18.17it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:19, 16.68it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:17, 18.78it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:19, 16.27it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:18, 16.85it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:15, 19.89it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 18.70it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:14, 21.24it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:13, 22.65it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:15, 19.92it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 21.11it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 21.19it/s]
eval model::  41%|████      | 206/500 [00:10<00:23, 12.46it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:22, 12.77it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:22, 13.14it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.72it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.76it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.63it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.27it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 16.27it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 18.42it/s]
eval model::  45%|████▌     | 227/500 [00:11<00:14, 18.55it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.17it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.92it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 20.95it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.47it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:11, 21.99it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 23.13it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:11, 22.66it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 20.85it/s]
eval model::  51%|█████     | 254/500 [00:13<00:10, 22.68it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:10, 22.51it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 22.90it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 21.02it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:12, 18.25it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:12, 18.90it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 20.17it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.16it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.77it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 21.24it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 21.36it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 12.79it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.32it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.59it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:13, 15.23it/s]
eval model::  60%|██████    | 300/500 [00:15<00:12, 15.51it/s]
eval model::  61%|██████    | 303/500 [00:15<00:11, 17.35it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 16.88it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:10, 18.73it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.05it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 21.05it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 21.30it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 20.28it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 19.85it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 20.64it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 19.76it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 20.46it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 21.04it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 19.71it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:09, 16.81it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:08, 18.55it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:07, 19.65it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 20.29it/s]
eval model::  71%|███████   | 353/500 [00:18<00:07, 20.68it/s]
eval model::  71%|███████   | 356/500 [00:18<00:06, 20.71it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 22.40it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:07, 19.37it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:07, 18.69it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.62it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 19.20it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 19.14it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 20.03it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:05, 21.76it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 22.50it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 22.96it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:08, 13.83it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 16.43it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:06, 17.62it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 18.49it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:05, 19.31it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 17.49it/s]
eval model::  81%|████████  | 404/500 [00:21<00:05, 17.71it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 19.68it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 20.71it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:04, 20.36it/s]
eval model::  83%|████████▎ | 416/500 [00:21<00:04, 20.42it/s]
eval model::  84%|████████▍ | 419/500 [00:21<00:04, 19.74it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 18.24it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 17.81it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 18.11it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 20.94it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 20.05it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:02, 21.80it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:02, 23.68it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:02, 22.63it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 23.93it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 21.64it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 19.42it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 20.55it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 21.42it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:01, 21.24it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:01, 19.38it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:01, 19.18it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 19.35it/s]
eval model::  94%|█████████▍| 470/500 [00:24<00:01, 21.22it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 21.18it/s]
eval model::  95%|█████████▌| 476/500 [00:24<00:01, 22.27it/s]
eval model::  96%|█████████▌| 479/500 [00:24<00:00, 23.52it/s]
eval model::  96%|█████████▋| 482/500 [00:24<00:00, 22.72it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 21.56it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 19.11it/s]
eval model::  98%|█████████▊| 491/500 [00:25<00:00, 20.23it/s]
eval model::  99%|█████████▉| 494/500 [00:25<00:00, 21.84it/s]
eval model::  99%|█████████▉| 497/500 [00:25<00:00, 22.56it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 22.95it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.46it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.26it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 17.79it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.48it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.28it/s]
eval model::   2%|▏         | 10/500 [00:00<00:26, 18.59it/s]
eval model::   2%|▏         | 12/500 [00:00<00:26, 18.38it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.68it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.10it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.38it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.67it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.21it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 21.02it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 20.12it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 19.15it/s]
eval model::   8%|▊         | 38/500 [00:01<00:22, 20.63it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.22it/s]
eval model::   9%|▊         | 43/500 [00:02<00:25, 18.25it/s]
eval model::   9%|▉         | 46/500 [00:02<00:22, 20.16it/s]
eval model::  10%|▉         | 49/500 [00:02<00:21, 21.32it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 18.79it/s]
eval model::  11%|█         | 55/500 [00:02<00:22, 19.49it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:23, 19.15it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:28, 15.68it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.99it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:23, 18.63it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 20.50it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 21.62it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:18, 22.69it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:21, 19.48it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:22, 18.63it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:22, 18.57it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:23, 17.86it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.46it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 19.11it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.54it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.58it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.78it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.20it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:20, 19.51it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 18.61it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:19, 19.34it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:20, 19.00it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.08it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 19.85it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.63it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.02it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.30it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.30it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.79it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.33it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.14it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.14it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.86it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.85it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 20.98it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 21.25it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:18, 18.36it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:17, 19.20it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 19.44it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 18.19it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.44it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:16, 19.10it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:17, 17.79it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.12it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.43it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.43it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 20.67it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 20.03it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 19.69it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.07it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.97it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:20, 14.14it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 14.23it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:19, 14.49it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 15.01it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.55it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.73it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 15.35it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:19, 14.46it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:16, 16.42it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 16.40it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:14, 19.11it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:13, 20.32it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 20.99it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 23.15it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:12, 19.88it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:12, 20.48it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.44it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 20.62it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.59it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.94it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 22.06it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:10, 22.41it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:11, 21.03it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:11, 19.88it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:10, 21.58it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.00it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.57it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:09, 22.12it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 23.40it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:14, 14.64it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 17.89it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 18.26it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:12, 16.56it/s]
eval model::  60%|██████    | 300/500 [00:15<00:12, 15.79it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 17.27it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 17.44it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 17.69it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.94it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:08, 20.98it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 20.32it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 21.55it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:08, 20.67it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 21.76it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 21.09it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.61it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 21.87it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 19.60it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:09, 16.05it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 17.32it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 19.04it/s]
eval model::  70%|███████   | 350/500 [00:18<00:06, 21.72it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 23.49it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:06, 20.79it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:06, 20.57it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:06, 19.99it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 18.39it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 19.31it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 19.99it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.94it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:04, 25.46it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:04, 25.03it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:04, 24.00it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:08, 13.90it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:07, 14.88it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:07, 15.00it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:06, 17.18it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:05, 18.88it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 19.01it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 19.65it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 20.64it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 22.19it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:04, 20.81it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 19.30it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:04, 16.83it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 17.32it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:04, 17.59it/s]
eval model::  86%|████████▌ | 428/500 [00:22<00:03, 19.61it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 18.69it/s]
eval model::  87%|████████▋ | 434/500 [00:22<00:03, 21.09it/s]
eval model::  87%|████████▋ | 437/500 [00:22<00:02, 22.13it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:02, 21.25it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 24.32it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 24.31it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 22.04it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 23.15it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 21.86it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:01, 22.48it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:01, 20.13it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:01, 19.31it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 20.08it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 21.32it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 19.30it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 20.76it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 20.59it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 21.02it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 19.99it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 20.07it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 20.12it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 20.38it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 24.15it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.44it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:55,  9.04it/s]
eval model::   1%|          | 4/500 [00:00<00:31, 15.90it/s]
eval model::   1%|          | 6/500 [00:00<00:31, 15.47it/s]
eval model::   2%|▏         | 8/500 [00:00<00:35, 13.92it/s]
eval model::   2%|▏         | 11/500 [00:00<00:35, 13.93it/s]
eval model::   3%|▎         | 13/500 [00:00<00:32, 15.03it/s]
eval model::   3%|▎         | 15/500 [00:01<00:30, 15.84it/s]
eval model::   4%|▍         | 19/500 [00:01<00:23, 20.62it/s]
eval model::   4%|▍         | 22/500 [00:01<00:22, 21.65it/s]
eval model::   5%|▌         | 25/500 [00:01<00:22, 20.83it/s]
eval model::   6%|▌         | 28/500 [00:01<00:20, 22.59it/s]
eval model::   6%|▌         | 31/500 [00:01<00:22, 20.91it/s]
eval model::   7%|▋         | 34/500 [00:01<00:22, 20.53it/s]
eval model::   7%|▋         | 37/500 [00:01<00:21, 21.24it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 19.04it/s]
eval model::   8%|▊         | 42/500 [00:02<00:24, 18.61it/s]
eval model::   9%|▉         | 45/500 [00:02<00:22, 19.87it/s]
eval model::  10%|▉         | 48/500 [00:02<00:24, 18.70it/s]
eval model::  10%|█         | 50/500 [00:02<00:23, 18.75it/s]
eval model::  10%|█         | 52/500 [00:02<00:25, 17.63it/s]
eval model::  11%|█         | 54/500 [00:02<00:26, 17.08it/s]
eval model::  11%|█         | 56/500 [00:03<00:26, 16.95it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:25, 17.32it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:24, 17.79it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:33, 12.99it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:31, 13.69it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:26, 16.57it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:22, 19.33it/s]
eval model::  15%|█▍        | 73/500 [00:04<00:21, 20.01it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:19, 21.56it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.91it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.65it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 21.48it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.29it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.80it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:21, 18.91it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:21, 19.14it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:18, 21.37it/s]
eval model::  20%|██        | 101/500 [00:05<00:18, 21.65it/s]
eval model::  21%|██        | 104/500 [00:05<00:17, 22.27it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:15, 25.04it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:16, 23.75it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:16, 23.07it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:16, 22.80it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 21.01it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 22.02it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:18, 19.77it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 20.64it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 17.88it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 18.69it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 18.59it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:18, 19.22it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.18it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.12it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 20.07it/s]
eval model::  30%|███       | 151/500 [00:07<00:20, 17.32it/s]
eval model::  31%|███       | 154/500 [00:08<00:17, 19.72it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:15, 21.73it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:17, 19.20it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:17, 19.37it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:15, 21.40it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 20.12it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:17, 19.14it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:18, 17.89it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:16, 19.26it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:19, 15.98it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:19, 16.53it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:17, 18.19it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:17, 18.09it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:16, 18.86it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 20.72it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.09it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.44it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.18it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 15.17it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:18, 15.93it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:18, 15.23it/s]
eval model::  43%|████▎     | 214/500 [00:11<00:16, 16.97it/s]
eval model::  43%|████▎     | 216/500 [00:11<00:19, 14.63it/s]
eval model::  44%|████▎     | 218/500 [00:11<00:19, 14.37it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:18, 15.11it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:15, 17.64it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 18.05it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:13, 20.42it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 22.11it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:13, 20.23it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 21.64it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 22.76it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:12, 20.92it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 21.77it/s]
eval model::  50%|█████     | 250/500 [00:13<00:11, 20.84it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 21.45it/s]
eval model::  51%|█████     | 256/500 [00:13<00:10, 22.77it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:10, 24.04it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:09, 23.91it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:11, 20.64it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:11, 20.86it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:10, 21.04it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:10, 21.20it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:11, 19.22it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.27it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.69it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:17, 12.05it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:14, 14.32it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 17.33it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:13, 14.84it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 18.19it/s]
eval model::  60%|██████    | 302/500 [00:15<00:11, 17.57it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 18.64it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 19.87it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.48it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 20.73it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:09, 20.22it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 20.63it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:09, 18.78it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 19.58it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 19.05it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 20.29it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:08, 19.23it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 18.79it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:08, 18.57it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:11, 13.74it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:10, 14.94it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:09, 16.89it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.34it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 21.05it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 21.86it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 22.15it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:06, 20.29it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 19.14it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 18.18it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 19.41it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 18.81it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 20.34it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 23.35it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 23.39it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:05, 22.47it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:08, 12.97it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:07, 14.99it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 16.05it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 17.81it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 18.93it/s]
eval model::  81%|████████  | 403/500 [00:21<00:04, 19.96it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 19.44it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 20.85it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:04, 21.91it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 20.83it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 19.42it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 15.66it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.78it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.39it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 18.58it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 18.22it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:03, 20.16it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 22.56it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 20.60it/s]
eval model::  89%|████████▉ | 446/500 [00:23<00:02, 22.63it/s]
eval model::  90%|████████▉ | 449/500 [00:23<00:02, 20.43it/s]
eval model::  90%|█████████ | 452/500 [00:23<00:02, 21.67it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:02, 20.40it/s]
eval model::  92%|█████████▏| 458/500 [00:24<00:01, 21.30it/s]
eval model::  92%|█████████▏| 461/500 [00:24<00:01, 20.80it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:01, 18.52it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 17.69it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 17.89it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 19.15it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 18.57it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 18.47it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 21.35it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 22.37it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 20.97it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 21.09it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 22.63it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 21.88it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 22.73it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 24.80it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.20it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:58,  8.55it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 17.96it/s]
eval model::   1%|▏         | 7/500 [00:00<00:24, 20.28it/s]
eval model::   2%|▏         | 10/500 [00:00<00:25, 19.52it/s]
eval model::   2%|▏         | 12/500 [00:00<00:27, 17.97it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.41it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.49it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.81it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.50it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 20.77it/s]
eval model::   6%|▌         | 29/500 [00:01<00:20, 22.80it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 21.00it/s]
eval model::   7%|▋         | 35/500 [00:01<00:22, 20.22it/s]
eval model::   8%|▊         | 38/500 [00:01<00:23, 20.03it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.65it/s]
eval model::   9%|▊         | 43/500 [00:02<00:23, 19.34it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 17.23it/s]
eval model::  10%|▉         | 49/500 [00:02<00:22, 19.90it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 20.52it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.41it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:20, 21.48it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:25, 17.53it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.68it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.36it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 20.58it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:19, 21.46it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 22.07it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:20, 20.80it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.43it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:17, 23.15it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:18, 22.12it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:19, 20.75it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:20, 20.34it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:19, 20.98it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:19, 20.96it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.08it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 20.21it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:19, 20.46it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 20.70it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 20.59it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 21.25it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.41it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.40it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.48it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.92it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 17.99it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.34it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:18, 19.91it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:19, 18.59it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.30it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.44it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.42it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.87it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:15, 22.60it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:19, 17.02it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.72it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 19.00it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 18.77it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.82it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:20, 16.12it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.43it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.48it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 17.49it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 17.61it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.30it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 18.48it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:15, 19.83it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:14, 20.96it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.24it/s]
eval model::  40%|████      | 200/500 [00:10<00:15, 19.80it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 20.95it/s]
eval model::  41%|████      | 206/500 [00:10<00:22, 13.24it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:21, 13.29it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:20, 13.83it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.77it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.59it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.61it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 15.72it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 15.35it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:15, 18.27it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:15, 17.80it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 20.14it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 22.05it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 21.14it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 23.19it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 19.35it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:13, 19.56it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.74it/s]
eval model::  50%|█████     | 251/500 [00:13<00:13, 18.54it/s]
eval model::  51%|█████     | 254/500 [00:13<00:12, 20.00it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 20.54it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 23.24it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 20.97it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 20.44it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 20.68it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 19.71it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 19.39it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:10, 20.57it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 21.23it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:17, 12.01it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:14, 14.18it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:13, 16.04it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.53it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:14, 14.54it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:12, 16.74it/s]
eval model::  60%|██████    | 301/500 [00:16<00:12, 15.41it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.67it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.16it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 20.50it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:08, 21.10it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:08, 20.79it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 21.71it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 20.85it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:07, 22.09it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:07, 22.47it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:07, 22.04it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 23.68it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:07, 20.97it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:09, 16.10it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 17.95it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:07, 20.03it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:06, 21.73it/s]
eval model::  70%|███████   | 352/500 [00:18<00:06, 21.82it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 20.50it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 20.95it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 20.92it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:06, 19.96it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:06, 19.85it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 20.26it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 19.10it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:06, 20.37it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:05, 22.67it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:04, 23.82it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:07, 14.83it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 17.36it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:05, 18.11it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:05, 18.36it/s]
eval model::  80%|███████▉  | 398/500 [00:20<00:05, 19.50it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 17.74it/s]
eval model::  81%|████████  | 404/500 [00:21<00:05, 18.66it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 19.72it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 21.48it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:04, 21.23it/s]
eval model::  83%|████████▎ | 416/500 [00:21<00:04, 20.24it/s]
eval model::  84%|████████▍ | 419/500 [00:21<00:04, 19.92it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 16.62it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.41it/s]
eval model::  85%|████████▌ | 427/500 [00:22<00:04, 17.40it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 19.10it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 20.67it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 22.79it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 23.01it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 23.49it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 24.54it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 23.82it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 22.25it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 22.40it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 22.44it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 22.26it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 20.02it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 18.81it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 18.68it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 19.97it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 19.33it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 21.09it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 21.85it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 22.32it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 21.19it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 21.66it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 20.45it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 21.57it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 23.18it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.43it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:00,  8.19it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 17.02it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.58it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.37it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.47it/s]
eval model::   3%|▎         | 14/500 [00:00<00:28, 16.93it/s]
eval model::   3%|▎         | 17/500 [00:00<00:25, 18.82it/s]
eval model::   4%|▍         | 19/500 [00:01<00:25, 18.70it/s]
eval model::   4%|▍         | 21/500 [00:01<00:26, 17.97it/s]
eval model::   5%|▍         | 24/500 [00:01<00:24, 19.40it/s]
eval model::   5%|▌         | 26/500 [00:01<00:26, 18.06it/s]
eval model::   6%|▌         | 28/500 [00:01<00:25, 18.44it/s]
eval model::   6%|▌         | 31/500 [00:01<00:25, 18.50it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 18.91it/s]
eval model::   7%|▋         | 37/500 [00:02<00:22, 20.31it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.65it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.44it/s]
eval model::   9%|▉         | 44/500 [00:02<00:25, 17.72it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 16.86it/s]
eval model::  10%|▉         | 49/500 [00:02<00:24, 18.48it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 19.08it/s]
eval model::  11%|█         | 55/500 [00:02<00:22, 19.91it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:23, 19.25it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:24, 18.28it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 15.72it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:30, 14.32it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.50it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.25it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.96it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:20, 21.24it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:21, 19.96it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.23it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:17, 23.29it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:19, 20.76it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.50it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:22, 18.20it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.66it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 21.03it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.40it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.88it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:17, 21.96it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 20.02it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 22.06it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:17, 21.96it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:17, 21.80it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:16, 22.30it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 18.98it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 21.25it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:18, 20.38it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:17, 20.77it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.80it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:19, 18.85it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:19, 18.74it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:20, 17.74it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:21, 16.70it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 19.18it/s]
eval model::  30%|███       | 152/500 [00:07<00:19, 18.21it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 20.15it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 21.80it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.57it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.14it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 19.21it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 19.18it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:18, 18.17it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:22, 14.78it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:21, 15.36it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:19, 16.76it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:19, 16.01it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 18.28it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:16, 19.20it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:14, 21.13it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:14, 21.45it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:14, 20.76it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 20.67it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 20.03it/s]
eval model::  41%|████      | 205/500 [00:10<00:20, 14.12it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:19, 14.90it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.68it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 15.99it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 14.24it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.74it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 15.41it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:18, 14.75it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:15, 17.52it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 16.95it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 19.81it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.32it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 19.96it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 20.50it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:13, 19.82it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:11, 21.57it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.70it/s]
eval model::  50%|█████     | 251/500 [00:13<00:13, 18.66it/s]
eval model::  51%|█████     | 254/500 [00:13<00:12, 19.64it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 20.27it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 22.79it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:10, 22.41it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 20.52it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 20.69it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 20.46it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 18.73it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.20it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 21.28it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:14, 14.47it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:12, 16.79it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 17.99it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 18.28it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:12, 16.18it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 16.14it/s]
eval model::  61%|██████    | 303/500 [00:16<00:10, 18.12it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 18.17it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 19.89it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.69it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 21.26it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 21.78it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 21.60it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 20.40it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 21.01it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 20.10it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 20.66it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 22.20it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:07, 20.73it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:09, 16.40it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:08, 18.59it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 19.12it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 20.46it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 21.28it/s]
eval model::  71%|███████   | 356/500 [00:18<00:07, 19.93it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:07, 19.63it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 18.47it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.98it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 18.38it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 20.10it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:07, 17.99it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 18.84it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:05, 20.72it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 20.11it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 22.28it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:08, 12.74it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:07, 14.83it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:07, 15.33it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:06, 16.71it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 19.22it/s]
eval model::  80%|████████  | 401/500 [00:21<00:06, 16.39it/s]
eval model::  81%|████████  | 404/500 [00:21<00:05, 17.95it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 19.85it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 21.70it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:04, 21.30it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 19.64it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 17.63it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 14.26it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 16.10it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.70it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 18.77it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:04, 16.84it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 18.53it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 20.67it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 20.00it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 21.36it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 21.71it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 19.88it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 22.16it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 22.83it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:02, 19.87it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 17.47it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 15.90it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:02, 16.34it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 19.28it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 17.71it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 17.61it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 19.16it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:01, 19.23it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 19.25it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 21.67it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 19.56it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 20.07it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 20.49it/s]
eval model::  99%|█████████▉| 497/500 [00:26<00:00, 22.24it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 23.64it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.87it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:55,  9.02it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.67it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.49it/s]
eval model::   2%|▏         | 8/500 [00:00<00:30, 16.20it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.54it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 19.18it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.62it/s]
eval model::   4%|▍         | 20/500 [00:01<00:28, 17.14it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.47it/s]
eval model::   5%|▌         | 26/500 [00:01<00:25, 18.36it/s]
eval model::   6%|▌         | 29/500 [00:01<00:24, 19.16it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 19.53it/s]
eval model::   7%|▋         | 35/500 [00:01<00:26, 17.47it/s]
eval model::   8%|▊         | 38/500 [00:02<00:24, 18.87it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.49it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.13it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.89it/s]
eval model::   9%|▉         | 47/500 [00:02<00:24, 18.87it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 19.02it/s]
eval model::  10%|█         | 51/500 [00:02<00:23, 19.25it/s]
eval model::  11%|█         | 54/500 [00:02<00:20, 21.42it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:22, 19.75it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:21, 20.25it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.94it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 19.76it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 21.53it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 20.73it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 21.39it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:20, 20.75it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:20, 20.36it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 20.77it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:23, 17.91it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:25, 16.01it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:23, 17.58it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.48it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.81it/s]
eval model::  20%|██        | 102/500 [00:05<00:21, 18.87it/s]
eval model::  21%|██        | 104/500 [00:05<00:20, 19.06it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:19, 20.44it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:17, 22.44it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:18, 20.74it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:18, 20.34it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:17, 22.15it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:16, 23.06it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:18, 19.99it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:18, 20.23it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:21, 17.29it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:18, 19.60it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 18.74it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:19, 18.44it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:19, 18.69it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.49it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 20.05it/s]
eval model::  30%|███       | 151/500 [00:07<00:17, 19.54it/s]
eval model::  31%|███       | 154/500 [00:07<00:16, 21.53it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:15, 22.03it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:19, 17.46it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:17, 19.11it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 19.93it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 20.01it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:17, 19.19it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:20, 15.83it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:18, 17.16it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:20, 15.66it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 18.37it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.12it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:16, 19.17it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:15, 19.93it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 20.97it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.22it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.60it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.59it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:20, 14.47it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:19, 14.78it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:19, 14.84it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.41it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.46it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 13.48it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 16.18it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 15.12it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:15, 17.69it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:13, 19.69it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:11, 22.77it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:13, 20.26it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 20.49it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:12, 20.90it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:13, 19.19it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:12, 19.89it/s]
eval model::  50%|█████     | 250/500 [00:13<00:12, 19.90it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 21.76it/s]
eval model::  51%|█████     | 256/500 [00:13<00:10, 22.56it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:10, 22.83it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:11, 21.24it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:11, 19.94it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:12, 19.12it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 18.61it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:12, 18.77it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:13, 17.24it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 18.93it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.41it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 22.33it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 12.69it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:13, 15.22it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:12, 16.45it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:13, 14.82it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 17.12it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 16.42it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 17.94it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:10, 18.31it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:10, 18.51it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 19.11it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:08, 20.63it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 22.35it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 21.33it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 21.24it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 20.29it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.39it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 21.12it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 19.72it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.51it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 17.73it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.46it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:08, 17.85it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 18.98it/s]
eval model::  71%|███████   | 354/500 [00:18<00:07, 20.81it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:07, 19.59it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:07, 19.58it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:06, 20.08it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.27it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.45it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:07, 18.31it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:06, 20.06it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:06, 20.16it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:06, 19.55it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 21.60it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 13.86it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 16.26it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 17.37it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 20.50it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 22.14it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 20.69it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.75it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 22.43it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 22.68it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:04, 20.77it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 17.49it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 16.82it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:06, 13.08it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:05, 13.65it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:05, 13.14it/s]
eval model::  86%|████████▌ | 428/500 [00:22<00:04, 15.67it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:04, 16.00it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:04, 16.31it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 19.08it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 21.51it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 20.35it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 21.65it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 20.79it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 17.03it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 18.06it/s]
eval model::  91%|█████████ | 455/500 [00:24<00:02, 18.26it/s]
eval model::  92%|█████████▏| 458/500 [00:24<00:02, 19.94it/s]
eval model::  92%|█████████▏| 461/500 [00:24<00:01, 21.08it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:01, 19.26it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 18.28it/s]
eval model::  94%|█████████▍| 469/500 [00:25<00:01, 18.53it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 19.76it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 20.25it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 21.66it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 23.21it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 22.63it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 20.21it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 21.50it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 20.63it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 20.81it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 24.50it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.96it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:50,  9.86it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.13it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.51it/s]
eval model::   2%|▏         | 9/500 [00:00<00:24, 19.73it/s]
eval model::   2%|▏         | 12/500 [00:00<00:23, 20.80it/s]
eval model::   3%|▎         | 15/500 [00:00<00:24, 19.51it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.80it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.74it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.56it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 20.67it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 22.24it/s]
eval model::   7%|▋         | 33/500 [00:01<00:21, 21.31it/s]
eval model::   7%|▋         | 36/500 [00:01<00:22, 20.56it/s]
eval model::   8%|▊         | 39/500 [00:01<00:25, 18.14it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.43it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.19it/s]
eval model::  10%|▉         | 48/500 [00:02<00:25, 17.86it/s]
eval model::  10%|█         | 51/500 [00:02<00:23, 19.05it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 20.65it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:20, 21.32it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.61it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:30, 14.11it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:24, 17.85it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:21, 20.10it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:21, 20.12it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:20, 20.66it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 22.12it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.19it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 21.37it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.03it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:23, 17.66it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:21, 18.87it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:19, 20.43it/s]
eval model::  20%|██        | 100/500 [00:05<00:19, 20.07it/s]
eval model::  21%|██        | 103/500 [00:05<00:18, 21.90it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 20.98it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:19, 20.32it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:20, 19.09it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 20.42it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:18, 20.45it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:21, 17.87it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:21, 17.58it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.03it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.92it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 18.97it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:17, 20.33it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.25it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.65it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.45it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 17.74it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.61it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.28it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 21.40it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:15, 21.81it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:19, 17.55it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 17.93it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 17.84it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 19.45it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:16, 19.62it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:17, 18.26it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:15, 20.18it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:16, 18.87it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:14, 21.11it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.40it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 21.12it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:13, 22.06it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.87it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 22.40it/s]
eval model::  41%|████      | 204/500 [00:10<00:12, 23.14it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:17, 16.54it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:18, 15.82it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:18, 15.21it/s]
eval model::  43%|████▎     | 214/500 [00:11<00:16, 17.08it/s]
eval model::  43%|████▎     | 216/500 [00:11<00:19, 14.79it/s]
eval model::  44%|████▎     | 218/500 [00:11<00:20, 13.81it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:18, 15.44it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:15, 17.57it/s]
eval model::  45%|████▌     | 227/500 [00:11<00:13, 19.91it/s]
eval model::  46%|████▌     | 231/500 [00:11<00:11, 23.45it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:11, 23.17it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:10, 24.44it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:10, 24.66it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:11, 21.90it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:12, 20.38it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:13, 19.06it/s]
eval model::  50%|█████     | 251/500 [00:12<00:13, 18.15it/s]
eval model::  51%|█████     | 254/500 [00:13<00:12, 19.52it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 20.46it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 23.22it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:10, 21.98it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 20.49it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:10, 21.20it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:11, 19.82it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:12, 18.30it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:10, 20.26it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 21.40it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:16, 12.90it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:13, 15.32it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 17.70it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 17.58it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:12, 15.99it/s]
eval model::  60%|██████    | 300/500 [00:15<00:11, 17.05it/s]
eval model::  61%|██████    | 303/500 [00:15<00:10, 19.43it/s]
eval model::  61%|██████    | 306/500 [00:15<00:09, 20.37it/s]
eval model::  62%|██████▏   | 309/500 [00:15<00:09, 20.92it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:08, 21.35it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:08, 21.84it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:07, 23.40it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:07, 23.18it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:07, 22.18it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:07, 23.12it/s]
eval model::  66%|██████▌   | 330/500 [00:16<00:07, 22.44it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 21.19it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:08, 19.53it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:08, 18.80it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:11, 14.27it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:09, 16.55it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:08, 18.54it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 19.98it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 22.10it/s]
eval model::  71%|███████   | 356/500 [00:18<00:06, 20.92it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 20.95it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:06, 20.98it/s]
eval model::  73%|███████▎  | 365/500 [00:18<00:07, 19.18it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:06, 19.14it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 20.47it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 20.96it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 23.14it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:05, 21.27it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:04, 23.88it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:06, 16.36it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:05, 18.66it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:05, 20.40it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:04, 22.18it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:04, 23.44it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 20.76it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 21.66it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:04, 22.85it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:03, 24.25it/s]
eval model::  83%|████████▎ | 414/500 [00:20<00:03, 23.60it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:03, 21.02it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 17.28it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 17.14it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 15.94it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:04, 17.96it/s]
eval model::  86%|████████▌ | 430/500 [00:21<00:03, 20.46it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 20.99it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:03, 20.84it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 22.11it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 22.91it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 21.83it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 20.55it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 20.09it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 21.70it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 21.87it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 21.26it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 19.93it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:01, 20.22it/s]
eval model::  94%|█████████▍| 469/500 [00:23<00:01, 20.18it/s]
eval model::  94%|█████████▍| 472/500 [00:23<00:01, 20.29it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 20.62it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 20.92it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 19.87it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 20.80it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 19.69it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 19.41it/s]
eval model::  98%|█████████▊| 491/500 [00:24<00:00, 18.96it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 18.62it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 19.08it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 22.29it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.77it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:55,  9.03it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.56it/s]
eval model::   1%|▏         | 7/500 [00:00<00:25, 19.46it/s]
eval model::   2%|▏         | 9/500 [00:00<00:26, 18.83it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.59it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 18.69it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.51it/s]
eval model::   4%|▍         | 20/500 [00:01<00:22, 21.08it/s]
eval model::   5%|▍         | 23/500 [00:01<00:20, 23.37it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 21.01it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 20.46it/s]
eval model::   6%|▋         | 32/500 [00:01<00:25, 18.30it/s]
eval model::   7%|▋         | 34/500 [00:01<00:26, 17.84it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 19.71it/s]
eval model::   8%|▊         | 40/500 [00:02<00:28, 16.33it/s]
eval model::   8%|▊         | 42/500 [00:02<00:29, 15.65it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.25it/s]
eval model::   9%|▉         | 47/500 [00:02<00:25, 17.87it/s]
eval model::  10%|█         | 50/500 [00:02<00:23, 19.27it/s]
eval model::  11%|█         | 54/500 [00:02<00:20, 21.93it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:21, 20.72it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:21, 20.05it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.88it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.94it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 20.03it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.45it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:20, 20.32it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.37it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.56it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.30it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.38it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.52it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:22, 18.17it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:21, 19.05it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:18, 21.36it/s]
eval model::  20%|██        | 101/500 [00:05<00:18, 21.38it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 21.21it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 21.67it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:19, 19.69it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:19, 20.24it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:19, 20.08it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:18, 20.40it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:18, 20.16it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:20, 18.21it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:18, 19.88it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:19, 19.36it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:19, 19.14it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:17, 20.73it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:16, 21.38it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:16, 21.54it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 21.71it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 19.83it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 17.65it/s]
eval model::  31%|███       | 154/500 [00:07<00:17, 19.27it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:17, 19.81it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:20, 16.99it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.52it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 19.52it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 20.02it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 19.56it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:20, 15.94it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:18, 17.56it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:20, 15.39it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:18, 17.21it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.01it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 19.76it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 19.76it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 20.27it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 19.17it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.81it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 15.48it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 15.99it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.91it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.33it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.05it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.56it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.80it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 16.06it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:14, 18.41it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:13, 20.55it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 22.09it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 20.93it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 21.27it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 21.87it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:13, 19.50it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:12, 20.13it/s]
eval model::  50%|█████     | 250/500 [00:13<00:13, 18.79it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 20.77it/s]
eval model::  51%|█████     | 256/500 [00:13<00:12, 20.26it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:12, 19.10it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:12, 19.01it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:12, 19.42it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 19.49it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 20.27it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 19.36it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.54it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.13it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.87it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 21.74it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 12.87it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:13, 15.60it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:11, 17.38it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:14, 14.47it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:12, 16.48it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 15.84it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 17.47it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:10, 18.36it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 19.24it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 20.11it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:09, 19.91it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 20.58it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:09, 19.08it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 19.96it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 19.16it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 20.83it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 22.79it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:07, 22.10it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:09, 16.96it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:08, 18.78it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:07, 19.31it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 21.21it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 23.91it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:06, 21.97it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:06, 22.92it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:06, 22.19it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:06, 20.33it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 21.48it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 20.14it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.19it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:05, 21.83it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 20.84it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 21.96it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:07, 14.81it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 17.01it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:05, 18.00it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 18.39it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:05, 19.08it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 18.74it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.22it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 21.55it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 22.07it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 21.77it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 20.38it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 17.98it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 17.68it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 17.42it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.47it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 19.51it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 18.57it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:03, 19.60it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:03, 20.65it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:03, 19.27it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 22.01it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 21.69it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 20.86it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 22.34it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 23.40it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 21.68it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 19.07it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 19.48it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 20.39it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 20.92it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 19.75it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 20.63it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 21.90it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 22.26it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 18.78it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 20.37it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 20.97it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 20.99it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 23.41it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.35it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.25it/s]
eval model::   1%|          | 4/500 [00:00<00:25, 19.17it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 17.85it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.40it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 17.15it/s]
eval model::   3%|▎         | 14/500 [00:00<00:28, 17.33it/s]
eval model::   4%|▎         | 18/500 [00:00<00:22, 21.22it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.53it/s]
eval model::   5%|▍         | 24/500 [00:01<00:22, 20.96it/s]
eval model::   5%|▌         | 27/500 [00:01<00:23, 20.36it/s]
eval model::   6%|▌         | 30/500 [00:01<00:23, 20.11it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 19.93it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 19.46it/s]
eval model::   8%|▊         | 38/500 [00:01<00:24, 19.03it/s]
eval model::   8%|▊         | 40/500 [00:02<00:29, 15.70it/s]
eval model::   8%|▊         | 42/500 [00:02<00:28, 16.21it/s]
eval model::   9%|▉         | 44/500 [00:02<00:27, 16.58it/s]
eval model::   9%|▉         | 46/500 [00:02<00:29, 15.62it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 18.98it/s]
eval model::  10%|█         | 52/500 [00:02<00:22, 20.15it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 20.76it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 19.01it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:23, 19.00it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:28, 15.55it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:27, 15.77it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:21, 20.33it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:20, 21.19it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:21, 19.89it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:21, 19.32it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.74it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.26it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 20.67it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 17.87it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 18.77it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 20.02it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.97it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.10it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.41it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:16, 23.59it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 21.17it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 20.31it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:17, 21.46it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:18, 20.40it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 20.28it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 19.85it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 18.59it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.30it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:17, 20.55it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.45it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:20, 17.76it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:18, 19.34it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 17.72it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 18.46it/s]
eval model::  30%|███       | 152/500 [00:07<00:21, 16.36it/s]
eval model::  31%|███       | 155/500 [00:08<00:18, 18.96it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 20.28it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:24, 13.68it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:23, 14.23it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:19, 16.79it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:19, 17.15it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:18, 18.02it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:20, 16.13it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.78it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.65it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 17.18it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:15, 19.78it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:14, 21.12it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:14, 22.02it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:12, 25.17it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:13, 22.05it/s]
eval model::  40%|████      | 200/500 [00:10<00:12, 23.65it/s]
eval model::  41%|████      | 203/500 [00:10<00:12, 24.68it/s]
eval model::  41%|████      | 206/500 [00:10<00:18, 15.71it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:17, 16.33it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:18, 15.83it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.36it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.79it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.53it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.06it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 16.14it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 18.93it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:13, 20.18it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:11, 23.29it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 20.70it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:13, 20.09it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:12, 20.79it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:13, 19.48it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:12, 20.78it/s]
eval model::  50%|█████     | 250/500 [00:13<00:12, 19.74it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 21.78it/s]
eval model::  51%|█████     | 256/500 [00:13<00:10, 22.22it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:10, 23.87it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:09, 23.98it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:11, 20.68it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:12, 18.40it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:11, 20.08it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:10, 20.98it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:11, 18.73it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:10, 20.04it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:09, 21.70it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:16, 12.94it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:13, 15.13it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.49it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:15, 13.51it/s]
eval model::  60%|█████▉    | 298/500 [00:15<00:12, 16.13it/s]
eval model::  60%|██████    | 301/500 [00:16<00:12, 15.64it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.80it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:09, 19.93it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:08, 21.27it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 20.41it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 19.07it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 20.62it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 19.51it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.95it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 20.61it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.71it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 21.58it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 19.76it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.43it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 17.02it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:07, 20.28it/s]
eval model::  70%|███████   | 350/500 [00:18<00:06, 21.94it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 21.85it/s]
eval model::  71%|███████   | 356/500 [00:18<00:07, 18.90it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:07, 19.55it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:06, 20.09it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:07, 18.56it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.19it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 19.21it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 20.07it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:06, 20.14it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 20.17it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:06, 19.10it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:05, 20.87it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:08, 13.39it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:07, 15.56it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 17.63it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 18.90it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 18.71it/s]
eval model::  81%|████████  | 403/500 [00:21<00:04, 19.54it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 20.39it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 22.23it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:03, 23.29it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 23.50it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 19.83it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 15.05it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.49it/s]
eval model::  85%|████████▌ | 427/500 [00:22<00:04, 17.19it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 18.91it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:02, 21.91it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 23.08it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 23.12it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 21.27it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 20.88it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 20.86it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 22.00it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 23.32it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 22.59it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 19.40it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 18.08it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 17.43it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 19.71it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 18.74it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 21.17it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 21.21it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 21.40it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 20.44it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 21.68it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 20.11it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 21.81it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 23.85it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.22it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:56,  8.82it/s]
eval model::   1%|          | 3/500 [00:00<00:36, 13.53it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.21it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.17it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.30it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.86it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.54it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.55it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.27it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 20.83it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 19.93it/s]
eval model::   6%|▋         | 32/500 [00:01<00:27, 17.30it/s]
eval model::   7%|▋         | 34/500 [00:01<00:26, 17.81it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 19.43it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 18.32it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.77it/s]
eval model::   9%|▉         | 44/500 [00:02<00:26, 16.92it/s]
eval model::   9%|▉         | 46/500 [00:02<00:27, 16.60it/s]
eval model::  10%|▉         | 49/500 [00:02<00:24, 18.27it/s]
eval model::  10%|█         | 51/500 [00:02<00:24, 18.65it/s]
eval model::  11%|█         | 53/500 [00:02<00:23, 18.91it/s]
eval model::  11%|█         | 55/500 [00:03<00:23, 19.14it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:23, 19.19it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:24, 18.29it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:29, 15.07it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 15.02it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 19.92it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 21.82it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 21.77it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:18, 22.63it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.51it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:16, 24.59it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:19, 21.24it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 18.37it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 17.83it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.09it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:22, 18.35it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:20, 19.21it/s]
eval model::  20%|██        | 100/500 [00:05<00:22, 17.98it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.02it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.87it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 21.01it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 19.70it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:22, 17.48it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:21, 17.86it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.14it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.04it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.24it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 21.21it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.21it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:17, 20.62it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.95it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.94it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.56it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 17.97it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:19, 18.35it/s]
eval model::  30%|███       | 151/500 [00:08<00:21, 16.28it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 19.62it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 20.16it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.15it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:19, 17.57it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 19.11it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:15, 21.00it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.84it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:16, 19.17it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:18, 17.48it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 18.71it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:17, 18.31it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:17, 17.96it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:15, 19.34it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 21.19it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:14, 20.26it/s]
eval model::  40%|████      | 200/500 [00:10<00:13, 21.63it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 22.17it/s]
eval model::  41%|████      | 206/500 [00:10<00:19, 14.90it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:19, 15.06it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 15.00it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.65it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.90it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.95it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 16.23it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:18, 14.77it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:16, 17.09it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:13, 19.57it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:13, 20.28it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:13, 20.25it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:13, 20.20it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:12, 21.06it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:14, 17.59it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:13, 18.30it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:13, 18.70it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 20.03it/s]
eval model::  51%|█████     | 255/500 [00:13<00:12, 19.64it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:12, 19.62it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 21.08it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:11, 21.07it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:10, 21.62it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:10, 22.67it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:10, 22.60it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 20.30it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:10, 20.56it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 21.57it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:15, 14.05it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:14, 14.65it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 18.26it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 17.57it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:15, 13.33it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 15.95it/s]
eval model::  60%|██████    | 301/500 [00:16<00:13, 15.27it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.92it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.59it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:10, 18.91it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 19.99it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 18.74it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:09, 20.01it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 18.90it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.47it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 20.89it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.88it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 21.25it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:07, 20.51it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:09, 16.56it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 19.10it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:07, 20.96it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 21.31it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 21.12it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 20.07it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.12it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 19.08it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.18it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 18.17it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 19.42it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 19.97it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 23.24it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 23.01it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:04, 24.32it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:07, 15.06it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 16.32it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 16.56it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.16it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 19.53it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 18.09it/s]
eval model::  81%|████████  | 403/500 [00:21<00:05, 18.43it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 18.92it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 21.05it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:03, 22.13it/s]
eval model::  83%|████████▎ | 415/500 [00:22<00:04, 20.27it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 19.67it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 14.67it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 14.81it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 15.63it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:04, 17.74it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 17.38it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 19.70it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:02, 21.89it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:02, 21.24it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 23.41it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 23.40it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 21.54it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:01, 23.92it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 23.73it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 23.15it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 18.68it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 19.26it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 21.13it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 22.53it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 21.01it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:00, 22.60it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 23.69it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 24.53it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 23.04it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 24.50it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 24.19it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 23.92it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 24.74it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.22it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:59,  8.43it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.73it/s]
eval model::   1%|▏         | 7/500 [00:00<00:25, 19.67it/s]
eval model::   2%|▏         | 9/500 [00:00<00:28, 17.39it/s]
eval model::   2%|▏         | 11/500 [00:00<00:31, 15.38it/s]
eval model::   3%|▎         | 13/500 [00:00<00:30, 16.14it/s]
eval model::   3%|▎         | 16/500 [00:00<00:27, 17.76it/s]
eval model::   4%|▍         | 19/500 [00:01<00:24, 19.76it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.77it/s]
eval model::   5%|▍         | 24/500 [00:01<00:21, 22.03it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 21.09it/s]
eval model::   6%|▌         | 30/500 [00:01<00:23, 20.43it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.52it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 19.18it/s]
eval model::   8%|▊         | 38/500 [00:02<00:25, 18.35it/s]
eval model::   8%|▊         | 40/500 [00:02<00:30, 15.15it/s]
eval model::   8%|▊         | 42/500 [00:02<00:31, 14.73it/s]
eval model::   9%|▉         | 45/500 [00:02<00:27, 16.44it/s]
eval model::   9%|▉         | 47/500 [00:02<00:29, 15.20it/s]
eval model::  10%|█         | 50/500 [00:02<00:27, 16.66it/s]
eval model::  11%|█         | 53/500 [00:02<00:23, 18.86it/s]
eval model::  11%|█         | 56/500 [00:03<00:22, 19.77it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:25, 17.54it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:28, 15.40it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.83it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 16.86it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 18.87it/s]
eval model::  14%|█▍        | 72/500 [00:04<00:20, 20.39it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:20, 20.92it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.65it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.61it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.51it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 20.29it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.29it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:22, 18.25it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:22, 18.09it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:21, 19.09it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.22it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.02it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 20.99it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 21.10it/s]
eval model::  22%|██▏       | 112/500 [00:06<00:18, 20.57it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:17, 21.42it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:16, 23.26it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:18, 20.92it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.68it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 20.48it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:18, 19.82it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:18, 20.06it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:17, 20.98it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:17, 20.15it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.89it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 21.49it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 20.24it/s]
eval model::  30%|███       | 151/500 [00:07<00:18, 19.02it/s]
eval model::  31%|███       | 154/500 [00:08<00:16, 20.91it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:15, 22.78it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:22, 14.96it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:22, 15.33it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:21, 15.49it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:19, 16.71it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:17, 18.76it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:16, 19.71it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.68it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.42it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 16.21it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:16, 18.71it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:16, 18.80it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:15, 19.73it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:13, 21.82it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 19.79it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.45it/s]
eval model::  41%|████      | 205/500 [00:11<00:21, 13.56it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:20, 14.56it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.54it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.20it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.29it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 13.19it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:17, 15.85it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:19, 14.60it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:15, 17.58it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:14, 19.02it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:12, 20.81it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:12, 20.91it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:12, 21.01it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 22.67it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:13, 19.25it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:11, 21.58it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:11, 20.94it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 22.48it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 21.14it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 20.75it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:11, 20.91it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:11, 20.05it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 19.76it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 20.84it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:10, 20.93it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 18.73it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 18.81it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:10, 20.42it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:16, 13.40it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:13, 15.37it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 17.76it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 18.23it/s]
eval model::  59%|█████▉    | 297/500 [00:16<00:11, 17.05it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 16.57it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 17.86it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 17.70it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 19.24it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.70it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 21.81it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:08, 22.44it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:07, 23.12it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 20.82it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:07, 22.34it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 19.88it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 20.97it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 22.19it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 18.61it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:10, 15.08it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:10, 15.62it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.47it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.34it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 18.95it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.01it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.57it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 19.39it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.26it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:06, 19.30it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 20.89it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 21.05it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 21.84it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.43it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 22.44it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 14.10it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 16.52it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.89it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.24it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 19.42it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 17.68it/s]
eval model::  81%|████████  | 404/500 [00:21<00:05, 18.20it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 18.82it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 19.85it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 19.50it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 18.48it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 17.53it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 15.56it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 15.76it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 16.39it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.96it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:04, 17.58it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 17.95it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 18.97it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:03, 19.89it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:03, 18.99it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:03, 19.01it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 21.99it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 22.16it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 21.22it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 22.47it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 23.97it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 22.66it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 18.44it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 17.77it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 17.86it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 19.61it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 18.38it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 20.48it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 21.21it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 21.88it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 22.86it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 23.20it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 20.48it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 20.42it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 22.05it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.92it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:50,  9.97it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.18it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 17.93it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.28it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 17.35it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 18.97it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.90it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.62it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 19.97it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 19.88it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 20.41it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.04it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.11it/s]
eval model::   7%|▋         | 36/500 [00:01<00:25, 18.45it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 18.05it/s]
eval model::   8%|▊         | 41/500 [00:02<00:25, 18.14it/s]
eval model::   9%|▊         | 43/500 [00:02<00:30, 14.93it/s]
eval model::   9%|▉         | 46/500 [00:02<00:29, 15.37it/s]
eval model::  10%|▉         | 49/500 [00:02<00:25, 17.52it/s]
eval model::  10%|█         | 51/500 [00:02<00:26, 17.23it/s]
eval model::  11%|█         | 54/500 [00:02<00:23, 19.29it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:21, 20.28it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:21, 20.22it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.26it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:26, 16.29it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:23, 18.38it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.59it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 19.61it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.50it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.51it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.66it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 20.98it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.31it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:22, 18.23it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 19.13it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.25it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.21it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 22.31it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:16, 23.70it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:17, 22.66it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:15, 24.23it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:16, 22.55it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:17, 21.74it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.55it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 18.89it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.52it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 17.55it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.34it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.89it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.67it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.24it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.21it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 20.81it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.70it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:15, 22.57it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:19, 17.48it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:19, 17.70it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 18.17it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 18.66it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 18.41it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.56it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 16.44it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.92it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.52it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:17, 18.03it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:15, 20.64it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:17, 18.33it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:16, 19.21it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 20.41it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.61it/s]
eval model::  40%|████      | 200/500 [00:10<00:15, 19.63it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 21.41it/s]
eval model::  41%|████      | 206/500 [00:10<00:21, 13.68it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:22, 13.00it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:21, 13.53it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.91it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.98it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.73it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 16.43it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:19, 14.46it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.63it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.20it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 22.08it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:11, 22.22it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.90it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 18.47it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 20.03it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.49it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 20.36it/s]
eval model::  51%|█████     | 254/500 [00:13<00:10, 22.41it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.56it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 21.83it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:10, 22.02it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 19.33it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:11, 19.49it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:10, 20.97it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.01it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.74it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.03it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 20.97it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:15, 13.33it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.77it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:13, 15.27it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:15, 12.94it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:13, 14.97it/s]
eval model::  60%|██████    | 301/500 [00:16<00:14, 14.18it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 16.32it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 17.57it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:10, 18.85it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 19.34it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 19.02it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:09, 19.18it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:09, 18.79it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:09, 18.59it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 19.75it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 19.99it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.59it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 22.90it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:07, 20.52it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:09, 16.52it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:08, 18.83it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:07, 20.21it/s]
eval model::  70%|███████   | 350/500 [00:18<00:06, 21.58it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 22.61it/s]
eval model::  71%|███████   | 356/500 [00:18<00:07, 19.72it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:06, 20.92it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:06, 19.76it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:07, 18.13it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 18.16it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:06, 20.26it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:06, 20.77it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 21.53it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 20.42it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 22.35it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 13.14it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:07, 15.13it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 16.14it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.05it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 20.09it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 18.60it/s]
eval model::  81%|████████  | 404/500 [00:21<00:05, 18.95it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 19.37it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 21.18it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:03, 22.12it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:03, 21.34it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 19.83it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 15.57it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:04, 16.29it/s]
eval model::  86%|████████▌ | 428/500 [00:22<00:03, 18.21it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 19.27it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:02, 21.97it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 23.48it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 22.52it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 23.83it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 22.94it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 21.12it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 21.39it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:02, 20.82it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 21.20it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 17.17it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:02, 17.14it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 17.70it/s]
eval model::  94%|█████████▍| 470/500 [00:24<00:01, 20.23it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 20.06it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 20.41it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:00, 21.03it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 22.15it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 23.57it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 21.38it/s]
eval model::  98%|█████████▊| 491/500 [00:25<00:00, 20.78it/s]
eval model::  99%|█████████▉| 494/500 [00:25<00:00, 20.03it/s]
eval model::  99%|█████████▉| 497/500 [00:26<00:00, 21.29it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 23.05it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.09it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.26it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.26it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 18.11it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.17it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.53it/s]
eval model::   3%|▎         | 13/500 [00:00<00:28, 17.15it/s]
eval model::   3%|▎         | 15/500 [00:00<00:28, 17.06it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.33it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.46it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 19.98it/s]
eval model::   5%|▌         | 27/500 [00:01<00:26, 18.08it/s]
eval model::   6%|▌         | 30/500 [00:01<00:23, 19.85it/s]
eval model::   7%|▋         | 33/500 [00:01<00:25, 18.33it/s]
eval model::   7%|▋         | 35/500 [00:01<00:27, 16.89it/s]
eval model::   8%|▊         | 38/500 [00:02<00:25, 18.32it/s]
eval model::   8%|▊         | 40/500 [00:02<00:27, 17.03it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.53it/s]
eval model::   9%|▉         | 45/500 [00:02<00:25, 17.99it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 16.99it/s]
eval model::  10%|█         | 50/500 [00:02<00:23, 18.77it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 18.82it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 20.37it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:21, 20.12it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 16.03it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.87it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 16.99it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 18.99it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 20.28it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:20, 20.44it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:22, 18.94it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:20, 20.61it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.29it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.39it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:23, 17.20it/s]
eval model::  18%|█▊        | 91/500 [00:05<00:25, 15.95it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:26, 15.55it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:22, 17.87it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.61it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.21it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.84it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:17, 22.33it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:17, 22.17it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:17, 22.40it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:18, 20.27it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 20.19it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.91it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:18, 19.72it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 21.25it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:20, 17.89it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 18.92it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:20, 17.44it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:21, 16.64it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:20, 17.12it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:19, 18.38it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 17.94it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 20.67it/s]
eval model::  31%|███       | 153/500 [00:08<00:17, 19.60it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 20.45it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 20.83it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:21, 15.75it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:21, 15.81it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:19, 17.28it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:16, 19.81it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 17.06it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:17, 18.51it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.79it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:19, 16.51it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 18.10it/s]
eval model::  37%|███▋      | 187/500 [00:10<00:17, 18.33it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:16, 19.35it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:16, 18.36it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.87it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.36it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 22.11it/s]
eval model::  41%|████      | 204/500 [00:10<00:12, 23.91it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:22, 13.06it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:21, 13.57it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 13.84it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 15.00it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.85it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.49it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:19, 14.45it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:20, 13.58it/s]
eval model::  45%|████▍     | 223/500 [00:12<00:19, 13.95it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:17, 15.43it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 18.22it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:13, 19.83it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:14, 18.27it/s]
eval model::  48%|████▊     | 238/500 [00:13<00:13, 19.32it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:12, 21.46it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:15, 16.94it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:13, 18.08it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:14, 17.59it/s]
eval model::  50%|█████     | 252/500 [00:13<00:13, 19.03it/s]
eval model::  51%|█████     | 255/500 [00:14<00:12, 20.09it/s]
eval model::  52%|█████▏    | 258/500 [00:14<00:11, 20.45it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:10, 21.94it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:11, 21.15it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 21.09it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:10, 21.45it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:10, 21.41it/s]
eval model::  55%|█████▌    | 276/500 [00:15<00:10, 20.39it/s]
eval model::  56%|█████▌    | 279/500 [00:15<00:10, 21.01it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:09, 23.06it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:15, 13.67it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:12, 16.97it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:10, 19.08it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:13, 15.44it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:11, 17.76it/s]
eval model::  60%|██████    | 301/500 [00:16<00:12, 16.03it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.50it/s]
eval model::  61%|██████    | 306/500 [00:16<00:11, 16.31it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:11, 16.96it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:11, 17.25it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:10, 17.15it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:09, 18.53it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:09, 19.58it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:09, 18.70it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:09, 18.86it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 19.55it/s]
eval model::  66%|██████▌   | 329/500 [00:18<00:08, 19.88it/s]
eval model::  66%|██████▋   | 332/500 [00:18<00:07, 21.43it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:06, 24.34it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:07, 22.81it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:09, 17.10it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:08, 18.27it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:08, 18.22it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 21.15it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 22.39it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.18it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.88it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.20it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.00it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:07, 18.08it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:07, 18.09it/s]
eval model::  75%|███████▍  | 374/500 [00:20<00:06, 19.98it/s]
eval model::  75%|███████▌  | 377/500 [00:20<00:05, 20.65it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.37it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:04, 25.22it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:07, 15.38it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 17.19it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:05, 18.35it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 19.51it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 20.00it/s]
eval model::  81%|████████  | 403/500 [00:21<00:04, 19.70it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 19.50it/s]
eval model::  82%|████████▏ | 409/500 [00:22<00:04, 20.51it/s]
eval model::  82%|████████▏ | 412/500 [00:22<00:03, 22.05it/s]
eval model::  83%|████████▎ | 415/500 [00:22<00:04, 20.57it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 18.46it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:04, 16.05it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 16.45it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 16.67it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 16.80it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:03, 19.69it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 20.25it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:02, 22.50it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 23.64it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 22.09it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 22.83it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 23.03it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 19.65it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.18it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:02, 20.53it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:02, 19.74it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 16.03it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 15.86it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 15.29it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:02, 15.05it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 17.04it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 17.12it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 17.63it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 18.70it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 19.99it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 21.01it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 20.28it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 20.34it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 19.43it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 20.33it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 24.49it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.68it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.38it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.38it/s]
eval model::   1%|▏         | 7/500 [00:00<00:24, 20.50it/s]
eval model::   2%|▏         | 10/500 [00:00<00:26, 18.55it/s]
eval model::   2%|▏         | 12/500 [00:00<00:30, 16.26it/s]
eval model::   3%|▎         | 14/500 [00:00<00:29, 16.21it/s]
eval model::   3%|▎         | 17/500 [00:00<00:25, 18.62it/s]
eval model::   4%|▍         | 20/500 [00:01<00:27, 17.55it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.14it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 18.97it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 20.23it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 19.66it/s]
eval model::   7%|▋         | 35/500 [00:01<00:25, 18.58it/s]
eval model::   8%|▊         | 38/500 [00:02<00:23, 19.60it/s]
eval model::   8%|▊         | 41/500 [00:02<00:24, 18.73it/s]
eval model::   9%|▊         | 43/500 [00:02<00:30, 15.18it/s]
eval model::   9%|▉         | 46/500 [00:02<00:30, 15.10it/s]
eval model::  10%|▉         | 49/500 [00:02<00:26, 16.99it/s]
eval model::  10%|█         | 51/500 [00:02<00:25, 17.46it/s]
eval model::  11%|█         | 54/500 [00:03<00:23, 18.61it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:22, 19.85it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.61it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.35it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 18.05it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 20.32it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:19, 22.12it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:19, 22.35it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 22.10it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:17, 23.32it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.01it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.51it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.06it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:22, 18.30it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:22, 17.77it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:21, 18.47it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.19it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.23it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.27it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:20, 19.00it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:21, 18.17it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:20, 19.14it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:20, 18.53it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:19, 19.15it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.64it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.41it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 17.84it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.85it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:20, 17.71it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.40it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:19, 18.82it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.76it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.59it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 20.06it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.58it/s]
eval model::  31%|███       | 153/500 [00:08<00:17, 19.81it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:14, 23.16it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:20, 16.37it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 16.93it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:19, 17.47it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 18.63it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:18, 17.98it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:20, 15.84it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.27it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.66it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:19, 16.35it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 19.05it/s]
eval model::  37%|███▋      | 187/500 [00:10<00:16, 19.43it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:17, 17.63it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:17, 17.74it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:17, 17.61it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:17, 17.00it/s]
eval model::  40%|████      | 200/500 [00:10<00:15, 18.85it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.55it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:20, 14.03it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 14.25it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 14.29it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 15.02it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.34it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:21, 13.08it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:19, 14.13it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:20, 13.69it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:17, 16.10it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:15, 17.57it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 20.10it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.48it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 22.00it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:11, 22.97it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 17.79it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 19.23it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 19.99it/s]
eval model::  50%|█████     | 251/500 [00:13<00:13, 19.07it/s]
eval model::  51%|█████     | 254/500 [00:13<00:12, 19.75it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.59it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:11, 20.60it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:13, 18.11it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:13, 16.97it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:12, 19.00it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 19.06it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.92it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:12, 17.74it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:11, 19.37it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 21.46it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 22.49it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 13.16it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:13, 15.35it/s]
eval model::  59%|█████▊    | 293/500 [00:16<00:12, 16.35it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:16, 12.65it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:13, 14.79it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 14.31it/s]
eval model::  60%|██████    | 302/500 [00:16<00:13, 15.03it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.24it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:10, 17.67it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:10, 18.73it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:10, 18.53it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:09, 19.90it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:08, 21.39it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:08, 21.15it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:08, 19.89it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:07, 21.89it/s]
eval model::  66%|██████▌   | 330/500 [00:18<00:07, 21.53it/s]
eval model::  67%|██████▋   | 333/500 [00:18<00:07, 21.32it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 21.62it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.76it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 17.79it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 18.32it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 20.04it/s]
eval model::  70%|███████   | 352/500 [00:19<00:07, 19.73it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 19.02it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 19.46it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 17.86it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:08, 16.42it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:08, 16.71it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:06, 18.78it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:06, 19.77it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 20.38it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:05, 23.16it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 22.94it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:04, 24.01it/s]
eval model::  78%|███████▊  | 388/500 [00:21<00:07, 15.27it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:06, 17.14it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:05, 19.24it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:04, 21.17it/s]
eval model::  80%|████████  | 400/500 [00:21<00:04, 20.23it/s]
eval model::  81%|████████  | 403/500 [00:21<00:05, 19.23it/s]
eval model::  81%|████████  | 406/500 [00:22<00:04, 20.22it/s]
eval model::  82%|████████▏ | 409/500 [00:22<00:04, 21.78it/s]
eval model::  82%|████████▏ | 412/500 [00:22<00:03, 23.61it/s]
eval model::  83%|████████▎ | 415/500 [00:22<00:03, 22.31it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:03, 21.41it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 14.53it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.29it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.04it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 16.83it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 16.44it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 18.53it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:03, 17.90it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:03, 17.78it/s]
eval model::  88%|████████▊ | 442/500 [00:24<00:02, 20.06it/s]
eval model::  89%|████████▉ | 445/500 [00:24<00:02, 21.57it/s]
eval model::  90%|████████▉ | 448/500 [00:24<00:02, 20.42it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 20.33it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 20.66it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:02, 20.51it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:02, 18.58it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:02, 16.17it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 16.27it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 15.71it/s]
eval model::  94%|█████████▍| 469/500 [00:25<00:01, 17.79it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 18.80it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 17.51it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 19.07it/s]
eval model::  96%|█████████▌| 480/500 [00:26<00:01, 19.72it/s]
eval model::  96%|█████████▋| 482/500 [00:26<00:00, 19.68it/s]
eval model::  97%|█████████▋| 485/500 [00:26<00:00, 22.24it/s]
eval model::  98%|█████████▊| 488/500 [00:26<00:00, 22.12it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 22.58it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 22.65it/s]
eval model::  99%|█████████▉| 497/500 [00:26<00:00, 24.35it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.59it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:00,  8.29it/s]
eval model::   1%|          | 3/500 [00:00<00:36, 13.74it/s]
eval model::   1%|          | 6/500 [00:00<00:32, 15.04it/s]
eval model::   2%|▏         | 8/500 [00:00<00:33, 14.63it/s]
eval model::   2%|▏         | 11/500 [00:00<00:33, 14.50it/s]
eval model::   3%|▎         | 14/500 [00:00<00:31, 15.66it/s]
eval model::   3%|▎         | 17/500 [00:01<00:27, 17.72it/s]
eval model::   4%|▍         | 19/500 [00:01<00:27, 17.34it/s]
eval model::   4%|▍         | 21/500 [00:01<00:28, 16.59it/s]
eval model::   5%|▍         | 24/500 [00:01<00:26, 17.96it/s]
eval model::   5%|▌         | 26/500 [00:01<00:27, 17.45it/s]
eval model::   6%|▌         | 29/500 [00:01<00:25, 18.28it/s]
eval model::   6%|▌         | 31/500 [00:01<00:25, 18.62it/s]
eval model::   7%|▋         | 33/500 [00:01<00:24, 18.70it/s]
eval model::   7%|▋         | 35/500 [00:02<00:27, 16.82it/s]
eval model::   8%|▊         | 38/500 [00:02<00:25, 18.34it/s]
eval model::   8%|▊         | 40/500 [00:02<00:27, 16.61it/s]
eval model::   8%|▊         | 42/500 [00:02<00:28, 16.10it/s]
eval model::   9%|▉         | 44/500 [00:02<00:26, 16.91it/s]
eval model::   9%|▉         | 46/500 [00:02<00:30, 14.97it/s]
eval model::  10%|▉         | 48/500 [00:02<00:28, 15.84it/s]
eval model::  10%|█         | 50/500 [00:03<00:27, 16.38it/s]
eval model::  10%|█         | 52/500 [00:03<00:26, 17.11it/s]
eval model::  11%|█         | 55/500 [00:03<00:23, 18.79it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.77it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:23, 18.77it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:31, 13.81it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:30, 14.18it/s]
eval model::  13%|█▎        | 67/500 [00:04<00:25, 16.76it/s]
eval model::  14%|█▍        | 70/500 [00:04<00:22, 19.01it/s]
eval model::  15%|█▍        | 73/500 [00:04<00:21, 20.12it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:20, 20.64it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:22, 18.91it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:20, 20.45it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:21, 19.53it/s]
eval model::  18%|█▊        | 88/500 [00:05<00:21, 19.31it/s]
eval model::  18%|█▊        | 90/500 [00:05<00:25, 16.28it/s]
eval model::  18%|█▊        | 92/500 [00:05<00:24, 16.93it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:22, 17.75it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:21, 18.94it/s]
eval model::  20%|██        | 100/500 [00:05<00:22, 17.57it/s]
eval model::  20%|██        | 102/500 [00:05<00:22, 17.45it/s]
eval model::  21%|██        | 105/500 [00:06<00:19, 20.08it/s]
eval model::  22%|██▏       | 108/500 [00:06<00:19, 20.54it/s]
eval model::  22%|██▏       | 111/500 [00:06<00:20, 19.19it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:18, 21.06it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:20, 18.84it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:20, 18.92it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:23, 15.81it/s]
eval model::  25%|██▍       | 124/500 [00:07<00:22, 16.95it/s]
eval model::  25%|██▌       | 126/500 [00:07<00:23, 16.02it/s]
eval model::  26%|██▌       | 129/500 [00:07<00:20, 17.93it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:22, 16.74it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:22, 16.59it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:20, 17.39it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:20, 17.62it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:20, 17.48it/s]
eval model::  28%|██▊       | 142/500 [00:08<00:18, 19.60it/s]
eval model::  29%|██▉       | 145/500 [00:08<00:17, 20.11it/s]
eval model::  30%|██▉       | 148/500 [00:08<00:18, 19.13it/s]
eval model::  30%|███       | 151/500 [00:08<00:19, 17.72it/s]
eval model::  31%|███       | 154/500 [00:08<00:17, 19.81it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:16, 21.01it/s]
eval model::  32%|███▏      | 160/500 [00:09<00:21, 15.67it/s]
eval model::  32%|███▏      | 162/500 [00:09<00:20, 16.41it/s]
eval model::  33%|███▎      | 165/500 [00:09<00:19, 16.77it/s]
eval model::  33%|███▎      | 167/500 [00:09<00:19, 16.91it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:17, 19.05it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:18, 17.42it/s]
eval model::  35%|███▌      | 175/500 [00:10<00:25, 12.73it/s]
eval model::  35%|███▌      | 177/500 [00:10<00:23, 13.57it/s]
eval model::  36%|███▌      | 179/500 [00:10<00:22, 14.53it/s]
eval model::  36%|███▌      | 181/500 [00:10<00:21, 14.58it/s]
eval model::  37%|███▋      | 184/500 [00:10<00:18, 16.69it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:18, 16.93it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:18, 17.23it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:15, 19.89it/s]
eval model::  39%|███▉      | 195/500 [00:11<00:14, 21.30it/s]
eval model::  40%|███▉      | 198/500 [00:11<00:14, 21.35it/s]
eval model::  40%|████      | 201/500 [00:11<00:14, 20.72it/s]
eval model::  41%|████      | 204/500 [00:11<00:13, 21.79it/s]
eval model::  41%|████▏     | 207/500 [00:12<00:26, 11.11it/s]
eval model::  42%|████▏     | 209/500 [00:12<00:24, 11.77it/s]
eval model::  42%|████▏     | 211/500 [00:12<00:26, 11.10it/s]
eval model::  43%|████▎     | 213/500 [00:12<00:24, 11.63it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:28, 10.12it/s]
eval model::  43%|████▎     | 217/500 [00:13<00:28, 10.01it/s]
eval model::  44%|████▍     | 220/500 [00:13<00:22, 12.39it/s]
eval model::  44%|████▍     | 222/500 [00:13<00:23, 11.61it/s]
eval model::  45%|████▌     | 225/500 [00:13<00:18, 14.75it/s]
eval model::  45%|████▌     | 227/500 [00:13<00:18, 14.87it/s]
eval model::  46%|████▌     | 230/500 [00:13<00:14, 18.09it/s]
eval model::  47%|████▋     | 233/500 [00:13<00:13, 19.82it/s]
eval model::  47%|████▋     | 236/500 [00:14<00:13, 19.53it/s]
eval model::  48%|████▊     | 239/500 [00:14<00:12, 21.24it/s]
eval model::  48%|████▊     | 242/500 [00:14<00:13, 18.49it/s]
eval model::  49%|████▉     | 245/500 [00:14<00:12, 20.55it/s]
eval model::  50%|████▉     | 248/500 [00:14<00:11, 21.31it/s]
eval model::  50%|█████     | 251/500 [00:14<00:12, 19.94it/s]
eval model::  51%|█████     | 254/500 [00:14<00:11, 21.46it/s]
eval model::  51%|█████▏    | 257/500 [00:15<00:11, 21.12it/s]
eval model::  52%|█████▏    | 260/500 [00:15<00:11, 21.46it/s]
eval model::  53%|█████▎    | 263/500 [00:15<00:11, 20.60it/s]
eval model::  53%|█████▎    | 266/500 [00:15<00:12, 18.86it/s]
eval model::  54%|█████▍    | 269/500 [00:15<00:12, 19.18it/s]
eval model::  54%|█████▍    | 272/500 [00:15<00:11, 19.18it/s]
eval model::  55%|█████▌    | 275/500 [00:16<00:13, 17.12it/s]
eval model::  55%|█████▌    | 277/500 [00:16<00:13, 17.12it/s]
eval model::  56%|█████▌    | 279/500 [00:16<00:12, 17.65it/s]
eval model::  56%|█████▋    | 282/500 [00:16<00:11, 19.22it/s]
eval model::  57%|█████▋    | 285/500 [00:16<00:20, 10.49it/s]
eval model::  57%|█████▋    | 287/500 [00:17<00:18, 11.49it/s]
eval model::  58%|█████▊    | 289/500 [00:17<00:16, 12.79it/s]
eval model::  58%|█████▊    | 292/500 [00:17<00:13, 14.90it/s]
eval model::  59%|█████▉    | 294/500 [00:17<00:13, 15.36it/s]
eval model::  59%|█████▉    | 296/500 [00:17<00:15, 13.24it/s]
eval model::  60%|█████▉    | 299/500 [00:17<00:13, 14.82it/s]
eval model::  60%|██████    | 301/500 [00:17<00:14, 13.64it/s]
eval model::  61%|██████    | 304/500 [00:18<00:12, 15.14it/s]
eval model::  61%|██████▏   | 307/500 [00:18<00:11, 17.18it/s]
eval model::  62%|██████▏   | 310/500 [00:18<00:10, 18.93it/s]
eval model::  62%|██████▏   | 312/500 [00:18<00:10, 18.67it/s]
eval model::  63%|██████▎   | 315/500 [00:18<00:09, 18.65it/s]
eval model::  64%|██████▎   | 318/500 [00:18<00:09, 19.98it/s]
eval model::  64%|██████▍   | 321/500 [00:18<00:08, 20.19it/s]
eval model::  65%|██████▍   | 324/500 [00:19<00:09, 19.28it/s]
eval model::  65%|██████▌   | 327/500 [00:19<00:08, 20.91it/s]
eval model::  66%|██████▌   | 330/500 [00:19<00:08, 19.91it/s]
eval model::  67%|██████▋   | 333/500 [00:19<00:08, 20.61it/s]
eval model::  67%|██████▋   | 336/500 [00:19<00:07, 22.38it/s]
eval model::  68%|██████▊   | 339/500 [00:19<00:07, 20.21it/s]
eval model::  68%|██████▊   | 342/500 [00:20<00:09, 15.86it/s]
eval model::  69%|██████▉   | 345/500 [00:20<00:08, 18.32it/s]
eval model::  70%|██████▉   | 348/500 [00:20<00:08, 18.99it/s]
eval model::  70%|███████   | 351/500 [00:20<00:07, 19.83it/s]
eval model::  71%|███████   | 355/500 [00:20<00:06, 20.85it/s]
eval model::  72%|███████▏  | 358/500 [00:20<00:06, 21.21it/s]
eval model::  72%|███████▏  | 361/500 [00:20<00:07, 19.35it/s]
eval model::  73%|███████▎  | 364/500 [00:21<00:08, 16.67it/s]
eval model::  73%|███████▎  | 366/500 [00:21<00:07, 16.85it/s]
eval model::  74%|███████▍  | 369/500 [00:21<00:07, 18.19it/s]
eval model::  74%|███████▍  | 371/500 [00:21<00:06, 18.46it/s]
eval model::  75%|███████▍  | 373/500 [00:21<00:06, 18.45it/s]
eval model::  75%|███████▌  | 376/500 [00:21<00:06, 19.50it/s]
eval model::  76%|███████▌  | 380/500 [00:22<00:06, 19.51it/s]
eval model::  77%|███████▋  | 384/500 [00:22<00:05, 22.52it/s]
eval model::  77%|███████▋  | 387/500 [00:22<00:08, 13.76it/s]
eval model::  78%|███████▊  | 390/500 [00:22<00:07, 15.48it/s]
eval model::  79%|███████▊  | 393/500 [00:22<00:06, 17.00it/s]
eval model::  79%|███████▉  | 396/500 [00:22<00:05, 18.76it/s]
eval model::  80%|███████▉  | 399/500 [00:23<00:04, 20.24it/s]
eval model::  80%|████████  | 402/500 [00:23<00:05, 16.63it/s]
eval model::  81%|████████  | 404/500 [00:23<00:05, 16.39it/s]
eval model::  81%|████████▏ | 407/500 [00:23<00:05, 17.85it/s]
eval model::  82%|████████▏ | 410/500 [00:23<00:04, 19.48it/s]
eval model::  83%|████████▎ | 413/500 [00:23<00:04, 18.56it/s]
eval model::  83%|████████▎ | 416/500 [00:24<00:04, 18.73it/s]
eval model::  84%|████████▎ | 418/500 [00:24<00:04, 18.29it/s]
eval model::  84%|████████▍ | 420/500 [00:24<00:05, 13.70it/s]
eval model::  84%|████████▍ | 422/500 [00:24<00:05, 14.27it/s]
eval model::  85%|████████▍ | 424/500 [00:24<00:05, 14.30it/s]
eval model::  85%|████████▌ | 426/500 [00:24<00:04, 15.03it/s]
eval model::  86%|████████▌ | 429/500 [00:24<00:04, 17.62it/s]
eval model::  86%|████████▌ | 431/500 [00:25<00:04, 16.01it/s]
eval model::  87%|████████▋ | 434/500 [00:25<00:03, 17.89it/s]
eval model::  87%|████████▋ | 437/500 [00:25<00:03, 19.20it/s]
eval model::  88%|████████▊ | 440/500 [00:25<00:03, 19.48it/s]
eval model::  89%|████████▉ | 444/500 [00:25<00:02, 22.20it/s]
eval model::  89%|████████▉ | 447/500 [00:25<00:02, 23.65it/s]
eval model::  90%|█████████ | 450/500 [00:25<00:02, 20.86it/s]
eval model::  91%|█████████ | 453/500 [00:26<00:02, 22.73it/s]
eval model::  91%|█████████ | 456/500 [00:26<00:01, 23.26it/s]
eval model::  92%|█████████▏| 459/500 [00:26<00:01, 23.26it/s]
eval model::  92%|█████████▏| 462/500 [00:26<00:01, 20.44it/s]
eval model::  93%|█████████▎| 465/500 [00:26<00:01, 18.88it/s]
eval model::  94%|█████████▎| 468/500 [00:26<00:01, 20.56it/s]
eval model::  94%|█████████▍| 471/500 [00:26<00:01, 22.20it/s]
eval model::  95%|█████████▍| 474/500 [00:27<00:01, 21.63it/s]
eval model::  96%|█████████▌| 478/500 [00:27<00:00, 24.56it/s]
eval model::  96%|█████████▌| 481/500 [00:27<00:00, 24.49it/s]
eval model::  97%|█████████▋| 484/500 [00:27<00:00, 25.51it/s]
eval model::  97%|█████████▋| 487/500 [00:27<00:00, 24.35it/s]
eval model::  98%|█████████▊| 490/500 [00:27<00:00, 25.24it/s]
eval model::  99%|█████████▊| 493/500 [00:27<00:00, 24.65it/s]
eval model::  99%|█████████▉| 496/500 [00:27<00:00, 24.72it/s]
eval model:: 100%|██████████| 500/500 [00:28<00:00, 28.10it/s]
eval model:: 100%|██████████| 500/500 [00:28<00:00, 17.84it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:49,  9.98it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.01it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 17.85it/s]
eval model::   2%|▏         | 8/500 [00:00<00:31, 15.57it/s]
eval model::   2%|▏         | 11/500 [00:00<00:30, 15.99it/s]
eval model::   3%|▎         | 14/500 [00:00<00:28, 17.23it/s]
eval model::   3%|▎         | 17/500 [00:00<00:25, 18.69it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 19.10it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.28it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.31it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 21.01it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 20.75it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 19.16it/s]
eval model::   8%|▊         | 38/500 [00:02<00:24, 19.21it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 18.08it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 18.15it/s]
eval model::   9%|▉         | 45/500 [00:02<00:22, 19.83it/s]
eval model::   9%|▉         | 47/500 [00:02<00:24, 18.20it/s]
eval model::  10%|█         | 50/500 [00:02<00:22, 20.03it/s]
eval model::  11%|█         | 53/500 [00:02<00:22, 19.50it/s]
eval model::  11%|█         | 55/500 [00:02<00:22, 19.45it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:23, 18.66it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:26, 16.39it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:32, 13.54it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:32, 13.45it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:24, 17.72it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:22, 19.14it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:23, 18.42it/s]
eval model::  15%|█▍        | 74/500 [00:04<00:23, 17.87it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:21, 19.37it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:19, 21.60it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 20.92it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:20, 20.49it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:25, 16.42it/s]
eval model::  18%|█▊        | 91/500 [00:05<00:26, 15.73it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:26, 15.47it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:24, 16.38it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:22, 17.69it/s]
eval model::  20%|██        | 100/500 [00:05<00:22, 17.49it/s]
eval model::  21%|██        | 103/500 [00:05<00:20, 19.21it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.46it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 21.82it/s]
eval model::  22%|██▏       | 112/500 [00:06<00:18, 21.37it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:17, 22.01it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:16, 22.83it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:17, 21.68it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 19.99it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:17, 20.76it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:20, 18.10it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:20, 18.31it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.36it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.36it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:16, 21.47it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 19.94it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 18.78it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.44it/s]
eval model::  31%|███       | 153/500 [00:08<00:18, 19.16it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 21.36it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.09it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:21, 15.70it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:20, 16.03it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 17.62it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:16, 19.86it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:16, 19.51it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.69it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.75it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 16.83it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 18.56it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:16, 19.39it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:15, 20.45it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:14, 21.38it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:15, 19.59it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 21.26it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 22.55it/s]
eval model::  41%|████      | 205/500 [00:10<00:18, 15.59it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:18, 16.16it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 16.07it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:16, 16.95it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.51it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.44it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.10it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:18, 15.35it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:15, 18.15it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:14, 18.45it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:11, 22.57it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:12, 21.93it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:12, 21.35it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 22.29it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:12, 19.81it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 20.77it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 19.50it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 20.83it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 20.96it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 20.99it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:12, 19.91it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:12, 19.52it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 18.81it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 18.45it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 19.46it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 18.05it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 18.43it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:11, 19.80it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:10, 21.18it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:15, 13.66it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:13, 15.74it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 17.32it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:15, 13.37it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:12, 15.71it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 15.50it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 16.04it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 16.24it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:11, 17.50it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.04it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:10, 18.44it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:09, 19.68it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:08, 20.92it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:09, 19.77it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:08, 20.05it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:07, 21.63it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 21.05it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 21.85it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:06, 23.46it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:07, 21.67it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:09, 17.15it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:08, 18.79it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:07, 19.27it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 19.80it/s]
eval model::  71%|███████   | 354/500 [00:18<00:07, 20.43it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:07, 18.52it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:07, 19.86it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 18.94it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:08, 16.58it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:08, 16.17it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:07, 17.42it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:07, 17.12it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 20.06it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 21.75it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:06, 19.62it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 21.64it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:08, 12.76it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:07, 14.52it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:07, 15.01it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:06, 17.20it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.81it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 20.32it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 21.39it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 22.36it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 22.15it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 22.82it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:03, 21.15it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 15.80it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 16.46it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:04, 17.01it/s]
eval model::  86%|████████▌ | 428/500 [00:22<00:03, 19.16it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 19.32it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 21.06it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:02, 22.14it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:03, 18.32it/s]
eval model::  89%|████████▊ | 443/500 [00:23<00:02, 20.41it/s]
eval model::  89%|████████▉ | 446/500 [00:23<00:02, 21.16it/s]
eval model::  90%|████████▉ | 449/500 [00:24<00:02, 17.35it/s]
eval model::  90%|█████████ | 452/500 [00:24<00:02, 19.37it/s]
eval model::  91%|█████████ | 455/500 [00:24<00:02, 20.24it/s]
eval model::  92%|█████████▏| 458/500 [00:24<00:01, 21.29it/s]
eval model::  92%|█████████▏| 461/500 [00:24<00:01, 20.45it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:02, 17.84it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:02, 16.80it/s]
eval model::  94%|█████████▍| 469/500 [00:25<00:01, 19.28it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 19.37it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 20.15it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:00, 22.15it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 23.06it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 23.09it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 21.25it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 22.64it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 20.73it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 21.30it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 25.26it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.94it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:05,  7.66it/s]
eval model::   1%|          | 4/500 [00:00<00:30, 16.29it/s]
eval model::   1%|▏         | 7/500 [00:00<00:25, 19.55it/s]
eval model::   2%|▏         | 9/500 [00:00<00:25, 19.03it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 16.90it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.40it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.34it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.94it/s]
eval model::   5%|▍         | 23/500 [00:01<00:21, 22.06it/s]
eval model::   5%|▌         | 26/500 [00:01<00:26, 18.23it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 20.10it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 18.84it/s]
eval model::   7%|▋         | 35/500 [00:01<00:26, 17.87it/s]
eval model::   8%|▊         | 38/500 [00:02<00:24, 19.15it/s]
eval model::   8%|▊         | 41/500 [00:02<00:25, 17.79it/s]
eval model::   9%|▊         | 43/500 [00:02<00:28, 16.21it/s]
eval model::   9%|▉         | 46/500 [00:02<00:28, 15.75it/s]
eval model::  10%|▉         | 49/500 [00:02<00:25, 17.46it/s]
eval model::  10%|█         | 51/500 [00:02<00:25, 17.40it/s]
eval model::  11%|█         | 54/500 [00:02<00:24, 18.51it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:22, 19.81it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.35it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:27, 15.97it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:26, 16.46it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:21, 20.08it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:20, 20.88it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:20, 20.82it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:21, 20.04it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:19, 21.03it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 21.83it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:21, 19.30it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:24, 17.05it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:24, 16.38it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:24, 16.94it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 18.44it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.18it/s]
eval model::  20%|██        | 101/500 [00:05<00:21, 18.70it/s]
eval model::  21%|██        | 103/500 [00:05<00:21, 18.43it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.72it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:16, 23.07it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 21.41it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:17, 21.53it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:16, 23.57it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.84it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.12it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:20, 18.48it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:20, 18.24it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:20, 17.74it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.94it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.76it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.02it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.26it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.27it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 18.91it/s]
eval model::  30%|███       | 152/500 [00:08<00:20, 17.19it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 19.76it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:15, 21.63it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:19, 17.42it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:18, 18.49it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 18.94it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:17, 18.88it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 18.08it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.97it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.76it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:17, 17.87it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:15, 19.77it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:15, 20.16it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:15, 19.74it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 21.82it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.31it/s]
eval model::  40%|████      | 200/500 [00:10<00:15, 19.06it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 20.03it/s]
eval model::  41%|████      | 206/500 [00:11<00:22, 13.09it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:21, 13.37it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:21, 13.66it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.78it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:23, 12.38it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:23, 11.90it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:21, 13.03it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:21, 12.79it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:17, 15.36it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:15, 17.58it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 19.96it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.92it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 20.56it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 21.76it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:13, 19.00it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 20.23it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.85it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 21.03it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 22.25it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:10, 23.43it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 23.76it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:10, 22.72it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 19.32it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 18.43it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 17.97it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.48it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.09it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 20.11it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 21.52it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:17, 12.25it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:13, 15.80it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:13, 15.19it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 13.39it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 15.50it/s]
eval model::  60%|██████    | 301/500 [00:16<00:13, 14.83it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.31it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 17.60it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.07it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:09, 18.92it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 19.42it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.69it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 19.13it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.20it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:09, 18.94it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 19.47it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:07, 21.44it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 21.74it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.66it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 17.45it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:07, 19.99it/s]
eval model::  70%|███████   | 351/500 [00:19<00:06, 22.75it/s]
eval model::  71%|███████   | 354/500 [00:19<00:06, 23.21it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:06, 22.02it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:06, 22.00it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 18.70it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 16.70it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:07, 17.15it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:07, 18.37it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:06, 18.45it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 20.69it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 22.07it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:04, 24.38it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:08, 14.05it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:07, 15.33it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 16.93it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 18.30it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.69it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 17.68it/s]
eval model::  81%|████████  | 404/500 [00:21<00:05, 17.67it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 19.18it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 20.84it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 21.15it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:03, 21.08it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 20.09it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 15.86it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:04, 15.22it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 14.95it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 17.96it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 19.35it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:02, 21.41it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 22.26it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 22.26it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 22.54it/s]
eval model::  90%|████████▉ | 448/500 [00:24<00:02, 21.83it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 21.76it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 22.54it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 23.87it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 24.01it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 18.31it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:01, 17.39it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 17.58it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 19.85it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 18.43it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 20.31it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 21.23it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 20.51it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 19.83it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 20.81it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 19.73it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 21.09it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 24.39it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.80it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:35, 13.95it/s]
eval model::   1%|          | 5/500 [00:00<00:24, 20.13it/s]
eval model::   2%|▏         | 8/500 [00:00<00:25, 19.17it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.84it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 19.26it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.17it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.54it/s]
eval model::   5%|▍         | 24/500 [00:01<00:21, 21.66it/s]
eval model::   5%|▌         | 27/500 [00:01<00:23, 20.38it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 20.81it/s]
eval model::   7%|▋         | 33/500 [00:01<00:24, 19.36it/s]
eval model::   7%|▋         | 35/500 [00:01<00:25, 18.56it/s]
eval model::   8%|▊         | 38/500 [00:01<00:22, 20.46it/s]
eval model::   8%|▊         | 41/500 [00:02<00:24, 18.54it/s]
eval model::   9%|▊         | 43/500 [00:02<00:25, 17.86it/s]
eval model::   9%|▉         | 46/500 [00:02<00:25, 18.09it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 19.21it/s]
eval model::  10%|█         | 52/500 [00:02<00:22, 19.91it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.82it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:21, 20.71it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 15.95it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.84it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 20.23it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:18, 22.66it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:19, 22.34it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:18, 22.72it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:17, 24.52it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.93it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 20.78it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.16it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:23, 17.37it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:22, 17.76it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:21, 18.83it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.68it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.57it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:16, 23.35it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:16, 23.21it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:15, 24.28it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:17, 21.36it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:16, 22.67it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:17, 21.20it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:21, 17.31it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:20, 18.50it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:21, 16.90it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 16.99it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:17, 20.64it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:16, 21.28it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.00it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 20.93it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 19.84it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 18.20it/s]
eval model::  31%|███       | 155/500 [00:07<00:15, 21.83it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:15, 22.11it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:19, 17.05it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:18, 18.32it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:18, 17.93it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 19.12it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:18, 17.49it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:17, 18.98it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:18, 17.62it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.42it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:14, 21.25it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.52it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 21.44it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:14, 21.51it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.33it/s]
eval model::  40%|████      | 201/500 [00:10<00:16, 18.47it/s]
eval model::  41%|████      | 204/500 [00:10<00:14, 20.54it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:18, 15.65it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:18, 15.78it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:17, 15.96it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.28it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.98it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.57it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 16.02it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 18.93it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:13, 19.67it/s]
eval model::  46%|████▋     | 232/500 [00:11<00:11, 22.80it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 21.17it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 21.20it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:13, 19.91it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:13, 18.39it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:12, 20.59it/s]
eval model::  50%|█████     | 250/500 [00:12<00:13, 19.15it/s]
eval model::  51%|█████     | 253/500 [00:13<00:12, 19.05it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 20.37it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:09, 24.01it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:09, 25.16it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:10, 22.39it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:11, 19.97it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:11, 20.38it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.77it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.07it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.53it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 21.13it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:19, 11.11it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:15, 13.54it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:13, 15.54it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:15, 13.34it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:12, 15.98it/s]
eval model::  60%|██████    | 302/500 [00:15<00:12, 15.90it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.63it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 20.59it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:08, 22.61it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 23.21it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:07, 23.14it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 22.17it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 20.29it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:08, 20.58it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 20.98it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.69it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:06, 24.02it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:06, 23.21it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:09, 15.83it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:08, 18.23it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:07, 20.10it/s]
eval model::  70%|███████   | 351/500 [00:18<00:06, 21.79it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 23.32it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:06, 20.92it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:06, 21.38it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:06, 21.02it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 18.88it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 19.79it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 20.43it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 22.56it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:05, 23.00it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 21.49it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 21.56it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:08, 12.61it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:07, 15.53it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 17.57it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 19.53it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 19.87it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 21.60it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 22.40it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:03, 23.79it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:04, 21.72it/s]
eval model::  83%|████████▎ | 416/500 [00:21<00:04, 20.27it/s]
eval model::  84%|████████▍ | 419/500 [00:21<00:04, 19.93it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:05, 15.34it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 16.07it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.14it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 19.11it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 19.77it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 23.52it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 23.20it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 23.26it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 22.54it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 21.20it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 20.80it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 22.10it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 22.15it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 22.27it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 20.61it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:01, 20.78it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 21.62it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 20.89it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 20.16it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 20.12it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 20.57it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 20.16it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 19.67it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 20.44it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 19.73it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 19.38it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 21.82it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.59it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.31it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 18.65it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 18.11it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.32it/s]
eval model::   2%|▏         | 10/500 [00:00<00:27, 17.59it/s]
eval model::   2%|▏         | 12/500 [00:00<00:30, 16.26it/s]
eval model::   3%|▎         | 14/500 [00:00<00:29, 16.73it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.95it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.58it/s]
eval model::   5%|▍         | 23/500 [00:01<00:20, 22.85it/s]
eval model::   5%|▌         | 26/500 [00:01<00:21, 22.26it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.94it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 19.95it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 18.90it/s]
eval model::   8%|▊         | 38/500 [00:01<00:24, 18.50it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.44it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 18.03it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.71it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 17.32it/s]
eval model::  10%|▉         | 49/500 [00:02<00:25, 17.71it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 18.92it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 20.58it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:22, 19.24it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.38it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 16.07it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:22, 18.92it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 20.75it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.52it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:21, 20.12it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 21.00it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.78it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:17, 23.21it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.57it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.40it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 17.94it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:22, 18.05it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:23, 17.36it/s]
eval model::  20%|██        | 100/500 [00:05<00:23, 17.20it/s]
eval model::  20%|██        | 102/500 [00:05<00:23, 17.18it/s]
eval model::  21%|██        | 105/500 [00:05<00:20, 18.87it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 20.71it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 20.55it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:16, 22.73it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:19, 19.98it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 20.04it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.89it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.29it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 20.71it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.23it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 20.12it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.36it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.91it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.46it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.31it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.16it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 20.88it/s]
eval model::  31%|███       | 156/500 [00:07<00:15, 22.66it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:15, 22.46it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:19, 17.69it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:17, 18.64it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 19.12it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 18.77it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:17, 18.23it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:17, 18.21it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:15, 20.13it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:16, 18.84it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:14, 21.62it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.08it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 21.02it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:14, 20.42it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 21.25it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.71it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.60it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:21, 13.66it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:20, 14.29it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 14.34it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.83it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.07it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:23, 12.07it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:19, 14.62it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:20, 13.90it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.58it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:13, 19.46it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 21.61it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 20.94it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 22.29it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 22.10it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:13, 19.54it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:12, 20.40it/s]
eval model::  50%|█████     | 250/500 [00:13<00:12, 19.54it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 21.31it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 21.92it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:10, 23.31it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:09, 25.39it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:09, 23.51it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:09, 23.72it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:09, 24.25it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 20.20it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 20.08it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.16it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 19.68it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:17, 12.50it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.45it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.33it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:14, 14.36it/s]
eval model::  60%|██████    | 300/500 [00:15<00:13, 15.12it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 17.29it/s]
eval model::  61%|██████    | 306/500 [00:16<00:11, 17.04it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:10, 18.15it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:09, 19.68it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 20.01it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 21.47it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:08, 21.76it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:08, 20.74it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:07, 22.04it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:07, 22.05it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 22.09it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 22.17it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 22.32it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:09, 16.99it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:08, 18.47it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:07, 19.94it/s]
eval model::  70%|███████   | 351/500 [00:18<00:06, 21.92it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 23.82it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:05, 23.95it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 21.93it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:06, 19.48it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:06, 19.55it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 20.20it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 20.23it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 21.02it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:05, 22.50it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:04, 24.06it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 12.69it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:07, 14.39it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 15.95it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:06, 17.29it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:05, 19.73it/s]
eval model::  80%|████████  | 402/500 [00:20<00:05, 19.25it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.42it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 21.92it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 22.08it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 22.27it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 20.10it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 14.67it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 15.48it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 16.26it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.95it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 18.99it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 19.94it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:02, 21.72it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:02, 23.66it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:02, 22.09it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 22.86it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 22.21it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 19.96it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 22.03it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:01, 22.39it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:01, 22.20it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:01, 19.78it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:01, 18.50it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 19.84it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 21.64it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 20.34it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 22.28it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 22.78it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 21.19it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 21.44it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 22.85it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 20.37it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 21.22it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 21.56it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.45it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:38, 13.09it/s]
eval model::   1%|          | 5/500 [00:00<00:25, 19.79it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.36it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.87it/s]
eval model::   3%|▎         | 13/500 [00:00<00:26, 18.23it/s]
eval model::   3%|▎         | 15/500 [00:00<00:27, 17.38it/s]
eval model::   4%|▎         | 18/500 [00:00<00:24, 19.44it/s]
eval model::   4%|▍         | 20/500 [00:01<00:26, 18.36it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.67it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 20.61it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 19.65it/s]
eval model::   6%|▌         | 31/500 [00:01<00:26, 17.68it/s]
eval model::   7%|▋         | 33/500 [00:01<00:26, 17.82it/s]
eval model::   7%|▋         | 35/500 [00:01<00:26, 17.79it/s]
eval model::   8%|▊         | 38/500 [00:02<00:24, 18.99it/s]
eval model::   8%|▊         | 40/500 [00:02<00:26, 17.65it/s]
eval model::   8%|▊         | 42/500 [00:02<00:28, 15.82it/s]
eval model::   9%|▉         | 44/500 [00:02<00:27, 16.62it/s]
eval model::   9%|▉         | 46/500 [00:02<00:33, 13.65it/s]
eval model::  10%|▉         | 49/500 [00:02<00:28, 15.93it/s]
eval model::  10%|█         | 52/500 [00:02<00:25, 17.58it/s]
eval model::  11%|█         | 55/500 [00:03<00:24, 18.32it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:23, 18.61it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:24, 18.16it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 15.84it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.48it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.20it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 20.35it/s]
eval model::  14%|█▍        | 72/500 [00:04<00:21, 19.58it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:22, 18.65it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:23, 18.14it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:21, 19.54it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:22, 18.61it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:22, 18.68it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.15it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 18.32it/s]
eval model::  18%|█▊        | 91/500 [00:05<00:23, 17.09it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:23, 17.49it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 20.11it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:18, 21.24it/s]
eval model::  20%|██        | 102/500 [00:05<00:18, 21.37it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 22.28it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:17, 22.61it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 20.57it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:17, 22.03it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:18, 20.29it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:21, 17.85it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 20.10it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 19.77it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:20, 18.22it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:20, 17.78it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.78it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:19, 18.80it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:19, 18.69it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.63it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:18, 19.04it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:19, 18.01it/s]
eval model::  30%|███       | 151/500 [00:08<00:20, 16.81it/s]
eval model::  31%|███       | 154/500 [00:08<00:17, 19.51it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:15, 21.47it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:19, 17.04it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:18, 18.35it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:16, 19.66it/s]
eval model::  34%|███▍      | 169/500 [00:09<00:16, 19.54it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:18, 18.03it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:21, 15.05it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:21, 14.82it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:19, 16.20it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:21, 15.10it/s]
eval model::  37%|███▋      | 183/500 [00:10<00:20, 15.63it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:18, 17.36it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:16, 18.31it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:18, 17.14it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:15, 19.70it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.38it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 21.57it/s]
eval model::  41%|████      | 205/500 [00:11<00:21, 13.55it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:20, 14.43it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 14.45it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 13.96it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.51it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:21, 13.35it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:22, 12.71it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:21, 13.21it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:22, 12.43it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:18, 14.85it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:17, 15.39it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:14, 19.15it/s]
eval model::  47%|████▋     | 233/500 [00:13<00:13, 20.16it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:13, 19.05it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:12, 20.70it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:15, 16.98it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 18.41it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:13, 18.08it/s]
eval model::  50%|████▉     | 249/500 [00:14<00:14, 17.27it/s]
eval model::  50%|█████     | 252/500 [00:14<00:14, 17.39it/s]
eval model::  51%|█████     | 254/500 [00:14<00:13, 17.58it/s]
eval model::  51%|█████▏    | 257/500 [00:14<00:12, 19.90it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:10, 22.52it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:10, 22.14it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:10, 22.00it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:10, 21.64it/s]
eval model::  55%|█████▍    | 273/500 [00:15<00:10, 20.66it/s]
eval model::  55%|█████▌    | 276/500 [00:15<00:11, 20.30it/s]
eval model::  56%|█████▌    | 279/500 [00:15<00:10, 20.50it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:10, 20.63it/s]
eval model::  57%|█████▋    | 285/500 [00:16<00:17, 12.02it/s]
eval model::  58%|█████▊    | 288/500 [00:16<00:15, 14.03it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:13, 15.78it/s]
eval model::  59%|█████▊    | 293/500 [00:16<00:12, 16.52it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:16, 12.06it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:13, 15.02it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 14.58it/s]
eval model::  60%|██████    | 302/500 [00:17<00:12, 15.33it/s]
eval model::  61%|██████    | 304/500 [00:17<00:12, 15.65it/s]
eval model::  61%|██████    | 306/500 [00:17<00:11, 16.41it/s]
eval model::  62%|██████▏   | 308/500 [00:17<00:11, 16.94it/s]
eval model::  62%|██████▏   | 311/500 [00:17<00:09, 19.03it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:09, 20.63it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:09, 19.86it/s]
eval model::  64%|██████▍   | 320/500 [00:18<00:09, 19.73it/s]
eval model::  65%|██████▍   | 323/500 [00:18<00:09, 18.28it/s]
eval model::  65%|██████▌   | 326/500 [00:18<00:08, 19.43it/s]
eval model::  66%|██████▌   | 329/500 [00:18<00:08, 19.36it/s]
eval model::  66%|██████▋   | 332/500 [00:18<00:08, 20.99it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:07, 22.87it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 18.51it/s]
eval model::  68%|██████▊   | 341/500 [00:19<00:12, 12.62it/s]
eval model::  69%|██████▉   | 344/500 [00:19<00:10, 14.94it/s]
eval model::  69%|██████▉   | 347/500 [00:19<00:09, 16.22it/s]
eval model::  70%|███████   | 350/500 [00:19<00:08, 17.74it/s]
eval model::  71%|███████   | 353/500 [00:19<00:07, 18.88it/s]
eval model::  71%|███████   | 356/500 [00:20<00:08, 17.46it/s]
eval model::  72%|███████▏  | 359/500 [00:20<00:07, 18.28it/s]
eval model::  72%|███████▏  | 361/500 [00:20<00:08, 16.61it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:08, 16.88it/s]
eval model::  73%|███████▎  | 367/500 [00:20<00:07, 18.70it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:06, 20.86it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:06, 20.23it/s]
eval model::  75%|███████▌  | 376/500 [00:21<00:06, 19.56it/s]
eval model::  76%|███████▌  | 379/500 [00:21<00:05, 21.79it/s]
eval model::  76%|███████▋  | 382/500 [00:21<00:05, 20.34it/s]
eval model::  77%|███████▋  | 385/500 [00:21<00:05, 21.91it/s]
eval model::  78%|███████▊  | 388/500 [00:22<00:10, 11.19it/s]
eval model::  78%|███████▊  | 391/500 [00:22<00:08, 13.25it/s]
eval model::  79%|███████▊  | 393/500 [00:22<00:07, 14.13it/s]
eval model::  79%|███████▉  | 396/500 [00:22<00:06, 15.87it/s]
eval model::  80%|███████▉  | 399/500 [00:22<00:05, 17.86it/s]
eval model::  80%|████████  | 402/500 [00:22<00:05, 17.41it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 17.79it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 18.90it/s]
eval model::  82%|████████▏ | 410/500 [00:23<00:04, 20.60it/s]
eval model::  83%|████████▎ | 413/500 [00:23<00:04, 18.98it/s]
eval model::  83%|████████▎ | 416/500 [00:23<00:04, 17.52it/s]
eval model::  84%|████████▎ | 418/500 [00:23<00:04, 17.45it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:06, 13.11it/s]
eval model::  84%|████████▍ | 422/500 [00:24<00:05, 13.23it/s]
eval model::  85%|████████▍ | 424/500 [00:24<00:05, 13.11it/s]
eval model::  85%|████████▌ | 426/500 [00:24<00:05, 13.52it/s]
eval model::  86%|████████▌ | 429/500 [00:24<00:04, 16.04it/s]
eval model::  86%|████████▌ | 431/500 [00:24<00:04, 15.75it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 19.66it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 21.07it/s]
eval model::  88%|████████▊ | 441/500 [00:25<00:03, 19.62it/s]
eval model::  89%|████████▉ | 444/500 [00:25<00:02, 21.77it/s]
eval model::  89%|████████▉ | 447/500 [00:25<00:02, 23.27it/s]
eval model::  90%|█████████ | 450/500 [00:25<00:02, 19.27it/s]
eval model::  91%|█████████ | 453/500 [00:25<00:02, 20.52it/s]
eval model::  91%|█████████ | 456/500 [00:25<00:02, 21.13it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 22.99it/s]
eval model::  92%|█████████▏| 462/500 [00:26<00:02, 17.88it/s]
eval model::  93%|█████████▎| 465/500 [00:26<00:02, 16.84it/s]
eval model::  94%|█████████▎| 468/500 [00:26<00:01, 19.07it/s]
eval model::  94%|█████████▍| 471/500 [00:26<00:01, 21.31it/s]
eval model::  95%|█████████▍| 474/500 [00:26<00:01, 20.72it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:00, 22.98it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 24.27it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 25.20it/s]
eval model::  97%|█████████▋| 487/500 [00:27<00:00, 25.67it/s]
eval model::  98%|█████████▊| 490/500 [00:27<00:00, 26.70it/s]
eval model::  99%|█████████▊| 493/500 [00:27<00:00, 22.98it/s]
eval model::  99%|█████████▉| 496/500 [00:27<00:00, 23.47it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 27.03it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.11it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:50,  9.82it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.46it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.52it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.01it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.72it/s]
eval model::   3%|▎         | 13/500 [00:00<00:29, 16.67it/s]
eval model::   3%|▎         | 15/500 [00:00<00:29, 16.59it/s]
eval model::   4%|▍         | 19/500 [00:01<00:23, 20.07it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 18.90it/s]
eval model::   5%|▍         | 24/500 [00:01<00:22, 20.82it/s]
eval model::   5%|▌         | 27/500 [00:01<00:21, 22.01it/s]
eval model::   6%|▌         | 30/500 [00:01<00:20, 23.33it/s]
eval model::   7%|▋         | 33/500 [00:01<00:21, 21.66it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 18.87it/s]
eval model::   8%|▊         | 38/500 [00:01<00:24, 18.75it/s]
eval model::   8%|▊         | 40/500 [00:02<00:27, 16.85it/s]
eval model::   8%|▊         | 42/500 [00:02<00:28, 16.31it/s]
eval model::   9%|▉         | 45/500 [00:02<00:25, 18.16it/s]
eval model::   9%|▉         | 47/500 [00:02<00:28, 15.62it/s]
eval model::  10%|█         | 50/500 [00:02<00:26, 16.93it/s]
eval model::  11%|█         | 53/500 [00:02<00:24, 18.51it/s]
eval model::  11%|█         | 56/500 [00:03<00:22, 19.43it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 19.19it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 16.18it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 16.06it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.54it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 20.60it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 21.19it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 21.91it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:17, 23.45it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 23.23it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.70it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.18it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.30it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.00it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.91it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.23it/s]
eval model::  20%|██        | 102/500 [00:05<00:21, 18.89it/s]
eval model::  21%|██        | 105/500 [00:05<00:20, 18.85it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:20, 19.25it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 19.15it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:18, 20.92it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:16, 22.62it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:18, 19.98it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.56it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 19.98it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 18.71it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:18, 20.16it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:16, 21.46it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:17, 20.14it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.81it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 18.77it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 17.90it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 19.28it/s]
eval model::  30%|███       | 152/500 [00:07<00:19, 17.64it/s]
eval model::  31%|███       | 155/500 [00:08<00:18, 18.81it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 20.16it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:23, 14.35it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:22, 15.21it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:18, 17.61it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:18, 17.60it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:18, 17.83it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:20, 16.01it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:20, 16.08it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.47it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:21, 14.71it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:21, 14.99it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:18, 17.02it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:18, 16.50it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:17, 18.11it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.44it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.60it/s]
eval model::  40%|████      | 200/500 [00:10<00:15, 19.55it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 21.07it/s]
eval model::  41%|████      | 206/500 [00:11<00:23, 12.77it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:22, 13.08it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:22, 12.64it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:20, 13.81it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:23, 12.35it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:23, 12.25it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:19, 14.40it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:22, 12.49it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:17, 15.30it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 16.07it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:13, 20.04it/s]
eval model::  47%|████▋     | 234/500 [00:13<00:13, 19.08it/s]
eval model::  47%|████▋     | 237/500 [00:13<00:12, 20.76it/s]
eval model::  48%|████▊     | 240/500 [00:13<00:11, 22.07it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:13, 19.37it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 21.05it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 19.91it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 20.31it/s]
eval model::  51%|█████     | 255/500 [00:14<00:13, 18.73it/s]
eval model::  52%|█████▏    | 258/500 [00:14<00:12, 20.11it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:11, 21.56it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:12, 19.27it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:12, 18.26it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 17.81it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.38it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:13, 16.46it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:11, 18.78it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 20.42it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 21.59it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 13.05it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:12, 16.44it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:12, 16.46it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:14, 13.88it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 16.05it/s]
eval model::  60%|██████    | 301/500 [00:16<00:15, 13.12it/s]
eval model::  61%|██████    | 304/500 [00:17<00:13, 14.60it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:11, 16.26it/s]
eval model::  62%|██████▏   | 309/500 [00:17<00:11, 16.15it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:11, 16.49it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:10, 17.43it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:09, 19.10it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:09, 18.88it/s]
eval model::  65%|██████▍   | 323/500 [00:18<00:09, 18.54it/s]
eval model::  65%|██████▌   | 326/500 [00:18<00:08, 20.32it/s]
eval model::  66%|██████▌   | 329/500 [00:18<00:08, 20.18it/s]
eval model::  66%|██████▋   | 332/500 [00:18<00:07, 21.98it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:06, 23.69it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 20.04it/s]
eval model::  68%|██████▊   | 341/500 [00:19<00:09, 16.00it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:09, 16.49it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:08, 18.13it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 19.66it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 21.29it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.33it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 20.74it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.56it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:07, 18.10it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:07, 17.51it/s]
eval model::  74%|███████▎  | 368/500 [00:20<00:07, 17.95it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:06, 19.02it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:07, 17.21it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:06, 18.95it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:05, 21.01it/s]
eval model::  76%|███████▋  | 382/500 [00:21<00:06, 19.62it/s]
eval model::  77%|███████▋  | 385/500 [00:21<00:05, 20.22it/s]
eval model::  78%|███████▊  | 388/500 [00:21<00:09, 12.39it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:07, 14.20it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 15.38it/s]
eval model::  79%|███████▉  | 397/500 [00:22<00:05, 17.63it/s]
eval model::  80%|████████  | 400/500 [00:22<00:05, 18.23it/s]
eval model::  81%|████████  | 403/500 [00:22<00:04, 19.52it/s]
eval model::  81%|████████  | 406/500 [00:22<00:04, 21.50it/s]
eval model::  82%|████████▏ | 409/500 [00:22<00:03, 23.20it/s]
eval model::  82%|████████▏ | 412/500 [00:22<00:03, 23.65it/s]
eval model::  83%|████████▎ | 415/500 [00:22<00:03, 23.20it/s]
eval model::  84%|████████▎ | 418/500 [00:23<00:03, 20.55it/s]
eval model::  84%|████████▍ | 421/500 [00:23<00:05, 13.27it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.72it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 15.45it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:03, 18.25it/s]
eval model::  86%|████████▋ | 432/500 [00:24<00:03, 17.02it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 18.67it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 20.80it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:02, 20.37it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 21.44it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 22.83it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 20.72it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 22.26it/s]
eval model::  91%|█████████ | 456/500 [00:25<00:01, 23.83it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 24.37it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:02, 18.84it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:02, 17.25it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 18.38it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 20.61it/s]
eval model::  95%|█████████▍| 474/500 [00:26<00:01, 18.67it/s]
eval model::  95%|█████████▌| 477/500 [00:26<00:01, 19.57it/s]
eval model::  96%|█████████▌| 480/500 [00:26<00:00, 20.82it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 21.07it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 20.27it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 22.25it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 21.82it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 22.96it/s]
eval model:: 100%|█████████▉| 499/500 [00:27<00:00, 26.30it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.46it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:39, 12.60it/s]
eval model::   1%|          | 5/500 [00:00<00:26, 18.62it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.30it/s]
eval model::   2%|▏         | 11/500 [00:00<00:30, 16.01it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.49it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.32it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.95it/s]
eval model::   5%|▍         | 23/500 [00:01<00:21, 22.09it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 19.45it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 20.48it/s]
eval model::   6%|▋         | 32/500 [00:01<00:25, 18.52it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.30it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 20.12it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.73it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.67it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.40it/s]
eval model::   9%|▉         | 47/500 [00:02<00:27, 16.32it/s]
eval model::  10%|▉         | 49/500 [00:02<00:26, 16.98it/s]
eval model::  10%|█         | 51/500 [00:02<00:25, 17.55it/s]
eval model::  11%|█         | 54/500 [00:02<00:22, 19.89it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:21, 20.66it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.34it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:29, 15.04it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:28, 15.39it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:26, 16.38it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:24, 17.79it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 19.93it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:20, 21.08it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 22.16it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:17, 23.81it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:17, 23.12it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 21.60it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.68it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:22, 18.15it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:22, 18.43it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:19, 20.36it/s]
eval model::  20%|██        | 100/500 [00:05<00:19, 20.33it/s]
eval model::  21%|██        | 103/500 [00:05<00:18, 21.04it/s]
eval model::  21%|██        | 106/500 [00:05<00:16, 23.21it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.03it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 19.65it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:19, 20.00it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:17, 21.30it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:18, 20.20it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.44it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.56it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.99it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 18.45it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 18.55it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 18.49it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:18, 19.47it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.45it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 20.34it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:18, 18.80it/s]
eval model::  30%|███       | 151/500 [00:07<00:20, 16.82it/s]
eval model::  31%|███       | 154/500 [00:08<00:17, 19.32it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:16, 20.51it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:20, 16.44it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.59it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 19.51it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 19.58it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 19.54it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:20, 15.88it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:18, 17.85it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:19, 16.52it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 18.95it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.80it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.52it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 21.16it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 20.23it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.60it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 21.17it/s]
eval model::  41%|████      | 205/500 [00:10<00:17, 16.67it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:17, 16.42it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 15.85it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.83it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.77it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 14.97it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.33it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 15.54it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 18.57it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:14, 18.96it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:12, 21.14it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:13, 19.01it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:13, 19.15it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:12, 20.34it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:13, 18.68it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 20.96it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:13, 19.12it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 20.90it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 21.74it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 22.04it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 22.97it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:10, 21.90it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 20.97it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:10, 21.17it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 19.98it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:12, 18.45it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 18.79it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.73it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:16, 13.35it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:13, 15.87it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 18.39it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 18.58it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:13, 14.69it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 15.10it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 15.79it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 17.23it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:10, 18.96it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 19.67it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:10, 17.96it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:09, 19.63it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 20.03it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:09, 18.93it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:09, 19.05it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 19.14it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 19.61it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:08, 20.36it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 19.67it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.46it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 17.62it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:07, 20.05it/s]
eval model::  70%|███████   | 350/500 [00:18<00:06, 22.05it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 22.90it/s]
eval model::  71%|███████   | 356/500 [00:18<00:07, 20.51it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 21.39it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:06, 20.60it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:06, 19.95it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:06, 19.30it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:06, 19.71it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:06, 19.70it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 20.88it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 20.95it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 22.37it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:09, 12.48it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:07, 15.11it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 16.87it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 17.88it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 20.00it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 17.90it/s]
eval model::  81%|████████  | 404/500 [00:21<00:04, 19.65it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 20.49it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 21.84it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:04, 19.09it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 19.61it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 19.04it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 13.25it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.61it/s]
eval model::  85%|████████▌ | 427/500 [00:22<00:04, 17.53it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 19.06it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 18.76it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:03, 20.08it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 21.66it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 20.67it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 21.60it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 21.07it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 20.14it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 20.41it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 22.56it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 21.26it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 17.71it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:01, 17.72it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 19.22it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 21.02it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 20.59it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 21.68it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 21.65it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 22.11it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 19.94it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 21.18it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 19.36it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 19.28it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 22.78it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.05it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:50,  9.89it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.18it/s]
eval model::   1%|▏         | 7/500 [00:00<00:25, 19.09it/s]
eval model::   2%|▏         | 9/500 [00:00<00:27, 18.14it/s]
eval model::   2%|▏         | 11/500 [00:00<00:32, 15.23it/s]
eval model::   3%|▎         | 14/500 [00:00<00:30, 15.85it/s]
eval model::   3%|▎         | 17/500 [00:00<00:26, 18.14it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.35it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 20.75it/s]
eval model::   5%|▌         | 26/500 [00:01<00:21, 21.80it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.97it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 20.45it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 20.21it/s]
eval model::   8%|▊         | 38/500 [00:01<00:22, 20.73it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.85it/s]
eval model::   9%|▉         | 44/500 [00:02<00:23, 19.27it/s]
eval model::   9%|▉         | 46/500 [00:02<00:25, 18.04it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 19.18it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 20.56it/s]
eval model::  11%|█         | 55/500 [00:02<00:19, 22.37it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.97it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:29, 14.90it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.36it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.20it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 21.97it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:18, 22.50it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:18, 22.49it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:18, 22.29it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.88it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 20.86it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:23, 17.73it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:25, 16.38it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:23, 17.38it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:20, 19.39it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.76it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.03it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 20.71it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 20.64it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 19.95it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 21.45it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:20, 19.13it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:19, 19.21it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:21, 17.85it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:21, 17.11it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.23it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.51it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.06it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.62it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.87it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:19, 18.74it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.05it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.04it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.89it/s]
eval model::  31%|███       | 153/500 [00:07<00:18, 18.79it/s]
eval model::  31%|███       | 156/500 [00:08<00:17, 19.93it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 20.42it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:23, 14.52it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:22, 14.75it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:20, 15.87it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:17, 18.29it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 16.51it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.68it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.69it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 17.39it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 19.03it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 20.55it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:15, 20.41it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:14, 21.69it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:14, 20.92it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:13, 22.07it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 22.35it/s]
eval model::  41%|████      | 205/500 [00:11<00:24, 12.29it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:22, 13.24it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:21, 13.72it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.38it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.95it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:22, 12.78it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:20, 13.85it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:21, 12.77it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:17, 15.38it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.27it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 19.02it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.45it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 21.82it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 23.15it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:13, 18.99it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 20.54it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.16it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 19.46it/s]
eval model::  51%|█████     | 254/500 [00:13<00:12, 20.46it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.28it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 22.64it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:10, 22.08it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 18.69it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 18.18it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 19.13it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.69it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.68it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 21.47it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 21.47it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:17, 12.19it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:14, 14.38it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:13, 15.01it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:15, 13.34it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:12, 15.77it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 14.60it/s]
eval model::  60%|██████    | 302/500 [00:16<00:13, 15.00it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.36it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 17.74it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:11, 17.06it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:09, 18.82it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:09, 18.71it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:09, 19.89it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:08, 20.11it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:08, 20.45it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:07, 22.08it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:07, 21.96it/s]
eval model::  67%|██████▋   | 333/500 [00:18<00:07, 22.84it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:06, 23.66it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:07, 20.24it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:10, 15.09it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:09, 16.83it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:09, 15.97it/s]
eval model::  70%|███████   | 350/500 [00:19<00:08, 17.86it/s]
eval model::  71%|███████   | 353/500 [00:19<00:07, 19.48it/s]
eval model::  71%|███████   | 356/500 [00:19<00:07, 18.98it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:07, 19.44it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 18.47it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.52it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.93it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:06, 19.12it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:06, 19.57it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 22.89it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.45it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 23.24it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:08, 14.15it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:06, 16.25it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.80it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:06, 17.05it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 19.43it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 17.22it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 18.23it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 20.39it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 21.90it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 21.66it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:03, 21.47it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 20.15it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 14.69it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:04, 15.57it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 16.34it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:03, 18.33it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 17.81it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 19.44it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 21.65it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 21.18it/s]
eval model::  89%|████████▉ | 445/500 [00:24<00:02, 21.98it/s]
eval model::  90%|████████▉ | 448/500 [00:24<00:02, 21.89it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 20.00it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 20.29it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:02, 20.26it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 21.32it/s]
eval model::  93%|█████████▎| 463/500 [00:25<00:02, 18.28it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:02, 16.69it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 17.80it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 19.45it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 18.49it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 19.85it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 20.68it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 22.10it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 22.01it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 23.65it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 22.22it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 23.55it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 26.23it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.75it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:52,  9.49it/s]
eval model::   1%|          | 3/500 [00:00<00:32, 15.40it/s]
eval model::   1%|          | 6/500 [00:00<00:26, 18.50it/s]
eval model::   2%|▏         | 8/500 [00:00<00:29, 16.95it/s]
eval model::   2%|▏         | 11/500 [00:00<00:30, 16.07it/s]
eval model::   3%|▎         | 13/500 [00:00<00:29, 16.37it/s]
eval model::   3%|▎         | 15/500 [00:00<00:31, 15.46it/s]
eval model::   4%|▎         | 18/500 [00:01<00:25, 18.86it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.99it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.23it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.42it/s]
eval model::   6%|▌         | 29/500 [00:01<00:20, 22.55it/s]
eval model::   6%|▋         | 32/500 [00:01<00:21, 22.12it/s]
eval model::   7%|▋         | 35/500 [00:01<00:22, 20.79it/s]
eval model::   8%|▊         | 38/500 [00:01<00:22, 20.72it/s]
eval model::   8%|▊         | 41/500 [00:02<00:22, 20.19it/s]
eval model::   9%|▉         | 44/500 [00:02<00:24, 18.87it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 16.98it/s]
eval model::  10%|▉         | 49/500 [00:02<00:24, 18.60it/s]
eval model::  10%|█         | 51/500 [00:02<00:25, 17.85it/s]
eval model::  11%|█         | 54/500 [00:02<00:22, 19.52it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:20, 21.19it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:23, 18.59it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:27, 15.69it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:28, 15.50it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:23, 18.04it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:21, 19.78it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 20.64it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:20, 20.59it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:21, 19.26it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:20, 20.40it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 21.87it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:19, 20.79it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.05it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 17.83it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.85it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:18, 21.46it/s]
eval model::  20%|██        | 102/500 [00:05<00:18, 21.88it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 23.13it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.12it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 20.11it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 21.41it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:18, 20.32it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.32it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:19, 19.08it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.37it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.20it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.59it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.03it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 19.04it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:20, 17.86it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:20, 17.90it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.58it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 19.96it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:18, 18.67it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 18.88it/s]
eval model::  30%|███       | 152/500 [00:07<00:18, 18.65it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 19.73it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 21.04it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:22, 15.10it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:21, 15.43it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:19, 17.49it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:19, 17.11it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:17, 18.42it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 16.69it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.71it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.72it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:19, 16.53it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 18.39it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:16, 19.07it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:15, 19.77it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:15, 20.07it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:16, 18.44it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:16, 18.72it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.10it/s]
eval model::  41%|████      | 205/500 [00:11<00:25, 11.64it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:22, 13.07it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:21, 13.41it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.85it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:25, 11.17it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:24, 11.64it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:22, 12.72it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:23, 11.92it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:18, 14.61it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 16.55it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:14, 19.19it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 20.97it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:12, 20.39it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:11, 22.50it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:13, 18.64it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 19.83it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:13, 19.33it/s]
eval model::  50%|█████     | 251/500 [00:13<00:13, 18.98it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 20.84it/s]
eval model::  51%|█████▏    | 257/500 [00:14<00:10, 22.21it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:10, 23.90it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:10, 22.99it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 19.53it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 18.25it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 19.58it/s]
eval model::  55%|█████▌    | 276/500 [00:15<00:12, 18.24it/s]
eval model::  56%|█████▌    | 279/500 [00:15<00:11, 19.37it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:10, 19.94it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:19, 11.10it/s]
eval model::  58%|█████▊    | 288/500 [00:16<00:15, 13.47it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:13, 15.77it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:13, 15.78it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:14, 13.72it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 16.17it/s]
eval model::  60%|██████    | 301/500 [00:16<00:13, 14.71it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.73it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:10, 18.70it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:09, 19.54it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:09, 19.84it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 19.11it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.58it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 19.76it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 21.22it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:08, 19.68it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 20.51it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:08, 20.72it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 19.92it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.47it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 17.19it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:07, 19.34it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 21.11it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 21.97it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 20.75it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 20.57it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:08, 17.23it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:08, 16.73it/s]
eval model::  73%|███████▎  | 367/500 [00:20<00:07, 17.66it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:06, 19.00it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:06, 19.07it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:05, 21.07it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:04, 24.44it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 21.79it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:05, 21.75it/s]
eval model::  78%|███████▊  | 388/500 [00:21<00:08, 12.88it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:07, 15.12it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 16.46it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 18.47it/s]
eval model::  80%|████████  | 400/500 [00:22<00:05, 17.73it/s]
eval model::  81%|████████  | 403/500 [00:22<00:05, 17.85it/s]
eval model::  81%|████████  | 405/500 [00:22<00:05, 18.24it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 20.19it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 21.26it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 21.79it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 19.52it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:05, 14.08it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 14.68it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:04, 15.27it/s]
eval model::  85%|████████▌ | 427/500 [00:23<00:04, 17.57it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 19.77it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 20.04it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:02, 21.61it/s]
eval model::  88%|████████▊ | 439/500 [00:24<00:02, 22.01it/s]
eval model::  88%|████████▊ | 442/500 [00:24<00:02, 21.18it/s]
eval model::  89%|████████▉ | 445/500 [00:24<00:02, 22.93it/s]
eval model::  90%|████████▉ | 448/500 [00:24<00:02, 22.58it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 21.45it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 21.27it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 23.11it/s]
eval model::  92%|█████████▏| 460/500 [00:25<00:01, 20.92it/s]
eval model::  93%|█████████▎| 463/500 [00:25<00:01, 18.53it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:02, 16.61it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:02, 16.48it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 19.07it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 19.03it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 18.75it/s]
eval model::  95%|█████████▌| 477/500 [00:26<00:01, 18.54it/s]
eval model::  96%|█████████▌| 480/500 [00:26<00:00, 20.69it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 20.77it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 20.41it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 22.21it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 20.76it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 20.69it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 21.91it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.49it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:00,  8.30it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.84it/s]
eval model::   1%|          | 6/500 [00:00<00:30, 16.16it/s]
eval model::   2%|▏         | 8/500 [00:00<00:29, 16.57it/s]
eval model::   2%|▏         | 11/500 [00:00<00:31, 15.73it/s]
eval model::   3%|▎         | 13/500 [00:00<00:29, 16.49it/s]
eval model::   3%|▎         | 15/500 [00:00<00:30, 16.05it/s]
eval model::   4%|▎         | 18/500 [00:01<00:25, 19.23it/s]
eval model::   4%|▍         | 20/500 [00:01<00:26, 18.08it/s]
eval model::   5%|▍         | 24/500 [00:01<00:22, 21.03it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 20.58it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 22.00it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 19.91it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 20.16it/s]
eval model::   8%|▊         | 39/500 [00:02<00:24, 18.60it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.97it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.86it/s]
eval model::   9%|▉         | 47/500 [00:02<00:28, 16.04it/s]
eval model::  10%|█         | 50/500 [00:02<00:26, 17.06it/s]
eval model::  11%|█         | 53/500 [00:02<00:24, 18.05it/s]
eval model::  11%|█         | 56/500 [00:03<00:23, 18.75it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:25, 17.04it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:29, 15.03it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:30, 14.46it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 16.77it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.00it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.87it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:19, 21.40it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.38it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.77it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.35it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:23, 17.62it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:24, 16.86it/s]
eval model::  18%|█▊        | 91/500 [00:05<00:25, 15.78it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:26, 15.51it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:24, 16.24it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:22, 18.20it/s]
eval model::  20%|██        | 100/500 [00:05<00:22, 17.84it/s]
eval model::  20%|██        | 102/500 [00:05<00:22, 17.81it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 20.61it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:17, 21.90it/s]
eval model::  22%|██▏       | 111/500 [00:06<00:18, 21.14it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:17, 21.77it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:18, 20.87it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 20.14it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.22it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 17.85it/s]
eval model::  26%|██▌       | 129/500 [00:07<00:20, 18.53it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:22, 16.69it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:22, 16.01it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:22, 16.40it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:21, 17.12it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:20, 17.87it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:18, 19.81it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 20.06it/s]
eval model::  30%|██▉       | 149/500 [00:08<00:17, 19.91it/s]
eval model::  30%|███       | 152/500 [00:08<00:18, 18.50it/s]
eval model::  31%|███       | 155/500 [00:08<00:16, 20.49it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 22.47it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:22, 15.38it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:21, 15.90it/s]
eval model::  33%|███▎      | 166/500 [00:09<00:18, 18.41it/s]
eval model::  34%|███▍      | 169/500 [00:09<00:18, 17.87it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:17, 18.27it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:22, 14.59it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:21, 15.08it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.40it/s]
eval model::  36%|███▌      | 181/500 [00:10<00:20, 15.84it/s]
eval model::  37%|███▋      | 183/500 [00:10<00:18, 16.72it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:16, 18.70it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:15, 20.27it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 21.67it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:13, 22.50it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:13, 23.00it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 22.47it/s]
eval model::  41%|████      | 205/500 [00:11<00:21, 13.88it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:20, 14.60it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:19, 14.55it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 14.34it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.14it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:21, 13.51it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:21, 13.21it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:19, 14.47it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:19, 14.50it/s]
eval model::  45%|████▍     | 223/500 [00:12<00:18, 15.05it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:17, 15.84it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 18.76it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:13, 19.47it/s]
eval model::  47%|████▋     | 235/500 [00:13<00:13, 19.83it/s]
eval model::  48%|████▊     | 238/500 [00:13<00:12, 21.01it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:11, 22.36it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:13, 18.61it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:13, 19.22it/s]
eval model::  50%|█████     | 250/500 [00:13<00:13, 18.34it/s]
eval model::  51%|█████     | 253/500 [00:14<00:12, 19.66it/s]
eval model::  51%|█████     | 256/500 [00:14<00:11, 20.69it/s]
eval model::  52%|█████▏    | 259/500 [00:14<00:11, 21.50it/s]
eval model::  52%|█████▏    | 262/500 [00:14<00:10, 22.62it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:11, 20.77it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:11, 21.06it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:11, 20.43it/s]
eval model::  55%|█████▍    | 274/500 [00:15<00:10, 21.58it/s]
eval model::  55%|█████▌    | 277/500 [00:15<00:11, 19.58it/s]
eval model::  56%|█████▌    | 280/500 [00:15<00:10, 20.96it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:09, 21.72it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:18, 11.52it/s]
eval model::  58%|█████▊    | 289/500 [00:16<00:15, 13.54it/s]
eval model::  58%|█████▊    | 292/500 [00:16<00:13, 15.72it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:17, 12.04it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:14, 14.24it/s]
eval model::  60%|██████    | 300/500 [00:16<00:14, 14.25it/s]
eval model::  61%|██████    | 303/500 [00:17<00:12, 16.32it/s]
eval model::  61%|██████    | 305/500 [00:17<00:11, 16.48it/s]
eval model::  62%|██████▏   | 308/500 [00:17<00:11, 17.31it/s]
eval model::  62%|██████▏   | 311/500 [00:17<00:10, 18.41it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:09, 19.04it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 18.61it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:09, 19.74it/s]
eval model::  64%|██████▍   | 322/500 [00:18<00:09, 18.18it/s]
eval model::  65%|██████▌   | 325/500 [00:18<00:08, 20.06it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:08, 19.79it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 18.97it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:08, 20.10it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 18.87it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:08, 19.06it/s]
eval model::  68%|██████▊   | 341/500 [00:19<00:09, 16.37it/s]
eval model::  69%|██████▉   | 344/500 [00:19<00:08, 18.48it/s]
eval model::  69%|██████▉   | 347/500 [00:19<00:07, 19.19it/s]
eval model::  70%|███████   | 350/500 [00:19<00:07, 21.26it/s]
eval model::  71%|███████   | 353/500 [00:19<00:06, 22.01it/s]
eval model::  71%|███████   | 356/500 [00:19<00:07, 19.80it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:06, 20.86it/s]
eval model::  72%|███████▏  | 362/500 [00:20<00:07, 19.19it/s]
eval model::  73%|███████▎  | 365/500 [00:20<00:07, 18.68it/s]
eval model::  73%|███████▎  | 367/500 [00:20<00:07, 17.49it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:06, 19.87it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:06, 19.30it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 20.96it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.11it/s]
eval model::  77%|███████▋  | 384/500 [00:21<00:04, 23.75it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:07, 15.12it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 16.98it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 17.61it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 17.72it/s]
eval model::  80%|███████▉  | 399/500 [00:22<00:05, 18.43it/s]
eval model::  80%|████████  | 401/500 [00:22<00:05, 16.84it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 17.85it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 18.73it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 20.66it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 20.53it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 20.56it/s]
eval model::  84%|████████▍ | 419/500 [00:23<00:04, 18.99it/s]
eval model::  84%|████████▍ | 421/500 [00:23<00:05, 13.21it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.24it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 15.19it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:03, 17.84it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 18.64it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 20.15it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 21.92it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:02, 19.81it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 21.05it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 22.68it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 20.01it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.55it/s]
eval model::  91%|█████████ | 456/500 [00:25<00:01, 22.30it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 23.37it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:01, 19.74it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:01, 17.90it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:01, 18.14it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 19.83it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 21.39it/s]
eval model::  95%|█████████▌| 476/500 [00:26<00:01, 21.24it/s]
eval model::  96%|█████████▌| 479/500 [00:26<00:00, 21.61it/s]
eval model::  96%|█████████▋| 482/500 [00:26<00:00, 21.91it/s]
eval model::  97%|█████████▋| 485/500 [00:26<00:00, 22.82it/s]
eval model::  98%|█████████▊| 488/500 [00:26<00:00, 20.70it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 19.69it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 19.88it/s]
eval model::  99%|█████████▉| 497/500 [00:27<00:00, 20.96it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.45it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:41, 12.12it/s]
eval model::   1%|          | 5/500 [00:00<00:24, 19.86it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.44it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.36it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.37it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 20.08it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.48it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.53it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.59it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 22.03it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.18it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 19.54it/s]
eval model::   8%|▊         | 38/500 [00:01<00:21, 21.76it/s]
eval model::   8%|▊         | 41/500 [00:02<00:22, 20.47it/s]
eval model::   9%|▉         | 44/500 [00:02<00:24, 18.29it/s]
eval model::   9%|▉         | 46/500 [00:02<00:28, 15.92it/s]
eval model::  10%|▉         | 49/500 [00:02<00:24, 18.57it/s]
eval model::  10%|█         | 52/500 [00:02<00:22, 19.72it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.30it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:22, 19.91it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:28, 15.58it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.45it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.33it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 19.87it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 21.10it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:20, 20.95it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 22.14it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:17, 23.64it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.59it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.42it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.15it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:24, 16.75it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:22, 18.27it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.79it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.28it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.09it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.74it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 21.20it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 22.55it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:17, 21.36it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 20.31it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.67it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:18, 19.73it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 21.09it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 18.59it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:17, 20.93it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:16, 21.96it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:15, 23.06it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:14, 24.23it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:16, 21.11it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.31it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.93it/s]
eval model::  31%|███       | 156/500 [00:07<00:15, 22.13it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:16, 20.37it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:20, 16.43it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:18, 17.74it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 17.91it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 20.39it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:16, 19.37it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.64it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.17it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 16.96it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 18.75it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:16, 19.30it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 19.62it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:14, 21.66it/s]
eval model::  39%|███▉      | 196/500 [00:09<00:14, 20.33it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:13, 21.80it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 22.64it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 15.03it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:18, 15.69it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:18, 15.92it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:18, 15.72it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.51it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.72it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 12.97it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 15.63it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:20, 13.24it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:16, 16.85it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.17it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 22.52it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:11, 22.54it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:10, 24.28it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 19.80it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:11, 22.74it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:11, 21.61it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 22.04it/s]
eval model::  51%|█████     | 255/500 [00:13<00:10, 23.44it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:09, 24.92it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 23.72it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:10, 22.50it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:10, 22.28it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:11, 20.48it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:12, 18.58it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:13, 16.75it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:13, 16.43it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:11, 18.43it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 18.67it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:18, 11.33it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:15, 13.59it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.42it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.50it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:14, 14.23it/s]
eval model::  60%|██████    | 300/500 [00:15<00:12, 15.78it/s]
eval model::  61%|██████    | 303/500 [00:15<00:11, 17.55it/s]
eval model::  61%|██████    | 306/500 [00:16<00:10, 18.96it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:09, 20.20it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:08, 21.70it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:08, 21.37it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 22.47it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:08, 21.89it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:09, 18.89it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:08, 20.71it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 20.33it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 21.51it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 22.87it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:06, 23.29it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:09, 17.25it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:08, 18.96it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:07, 20.26it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 20.48it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 21.58it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 21.15it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 19.88it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 18.99it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:06, 19.47it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 21.30it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:05, 21.77it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 22.69it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:05, 22.29it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:04, 24.43it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:08, 14.00it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:07, 15.53it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:06, 17.24it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 18.86it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:04, 20.87it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 21.14it/s]
eval model::  81%|████████  | 406/500 [00:20<00:03, 23.70it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:03, 26.06it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:03, 26.15it/s]
eval model::  83%|████████▎ | 416/500 [00:21<00:03, 25.33it/s]
eval model::  84%|████████▍ | 419/500 [00:21<00:03, 24.01it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:05, 15.60it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 15.58it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.14it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 19.24it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 19.58it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:03, 20.09it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 21.10it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 22.53it/s]
eval model::  89%|████████▉ | 446/500 [00:22<00:02, 24.54it/s]
eval model::  90%|████████▉ | 449/500 [00:22<00:02, 24.12it/s]
eval model::  90%|█████████ | 452/500 [00:23<00:01, 24.92it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:01, 25.57it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:01, 27.74it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:01, 21.08it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 19.45it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 19.06it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 20.33it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 20.04it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 22.04it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 21.77it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 20.81it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 19.49it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 21.07it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 18.93it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 20.03it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 21.56it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.66it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:39, 12.74it/s]
eval model::   1%|          | 5/500 [00:00<00:24, 20.28it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.25it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.51it/s]
eval model::   3%|▎         | 13/500 [00:00<00:28, 17.17it/s]
eval model::   3%|▎         | 15/500 [00:00<00:27, 17.65it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.55it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.93it/s]
eval model::   5%|▍         | 24/500 [00:01<00:22, 21.19it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 20.77it/s]
eval model::   6%|▌         | 30/500 [00:01<00:23, 20.36it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 20.13it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 19.45it/s]
eval model::   8%|▊         | 38/500 [00:02<00:25, 18.47it/s]
eval model::   8%|▊         | 40/500 [00:02<00:26, 17.08it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.72it/s]
eval model::   9%|▉         | 44/500 [00:02<00:26, 17.31it/s]
eval model::   9%|▉         | 46/500 [00:02<00:29, 15.61it/s]
eval model::  10%|▉         | 49/500 [00:02<00:25, 17.59it/s]
eval model::  10%|█         | 51/500 [00:02<00:26, 16.75it/s]
eval model::  11%|█         | 53/500 [00:02<00:25, 17.26it/s]
eval model::  11%|█         | 56/500 [00:03<00:23, 18.98it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:22, 19.54it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.70it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.30it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:22, 18.90it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 20.01it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 19.87it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:20, 20.66it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.10it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.68it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.45it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:23, 17.84it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:24, 16.93it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:24, 16.86it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:23, 17.55it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.31it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.27it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.42it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.53it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.62it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:17, 22.41it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:16, 23.58it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:18, 21.04it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:21, 17.32it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:19, 19.13it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:22, 16.73it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:20, 17.99it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 17.68it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:20, 17.48it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:19, 18.69it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:19, 18.16it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:21, 16.89it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:20, 17.46it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:19, 18.47it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.41it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 19.24it/s]
eval model::  30%|███       | 152/500 [00:08<00:18, 18.52it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 19.96it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 20.99it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.84it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 16.87it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:18, 18.30it/s]
eval model::  34%|███▎      | 168/500 [00:09<00:18, 17.63it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:17, 19.02it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 16.89it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.47it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.74it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 16.81it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 18.51it/s]
eval model::  37%|███▋      | 187/500 [00:10<00:16, 19.35it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:15, 20.21it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:15, 20.42it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:16, 18.77it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:15, 19.95it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 20.28it/s]
eval model::  41%|████      | 205/500 [00:11<00:23, 12.63it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:21, 13.63it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 14.08it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 13.82it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:20, 14.24it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.90it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:22, 12.36it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:20, 13.79it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:22, 12.48it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:17, 15.55it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.34it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 19.23it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 20.94it/s]
eval model::  47%|████▋     | 235/500 [00:13<00:13, 19.15it/s]
eval model::  48%|████▊     | 238/500 [00:13<00:12, 20.64it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:12, 20.70it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:13, 18.43it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:13, 18.84it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:13, 18.47it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 19.94it/s]
eval model::  51%|█████     | 255/500 [00:14<00:12, 20.19it/s]
eval model::  52%|█████▏    | 258/500 [00:14<00:11, 20.93it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:10, 22.28it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:11, 20.91it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 20.05it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 19.53it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 19.51it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:12, 17.65it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:11, 19.27it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 20.40it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 21.80it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 12.99it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:12, 16.32it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:12, 16.82it/s]
eval model::  59%|█████▉    | 297/500 [00:16<00:13, 15.36it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 15.66it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 16.32it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.62it/s]
eval model::  61%|██████    | 306/500 [00:16<00:11, 17.06it/s]
eval model::  62%|██████▏   | 309/500 [00:17<00:10, 18.70it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:09, 18.81it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:09, 19.64it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:08, 20.80it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:08, 21.21it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:08, 21.21it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:07, 22.56it/s]
eval model::  66%|██████▌   | 330/500 [00:18<00:08, 20.80it/s]
eval model::  67%|██████▋   | 333/500 [00:18<00:07, 21.75it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:07, 21.97it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:08, 17.97it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:12, 12.73it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:11, 13.61it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:09, 16.31it/s]
eval model::  70%|██████▉   | 348/500 [00:19<00:09, 16.75it/s]
eval model::  70%|███████   | 351/500 [00:19<00:08, 17.70it/s]
eval model::  71%|███████   | 354/500 [00:19<00:07, 19.37it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:07, 18.18it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:07, 18.51it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 17.39it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:07, 17.10it/s]
eval model::  73%|███████▎  | 367/500 [00:20<00:06, 19.47it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:06, 21.13it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:06, 20.55it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 21.18it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.31it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:04, 24.86it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:07, 15.16it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 16.44it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 17.29it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:06, 17.16it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.21it/s]
eval model::  80%|████████  | 402/500 [00:22<00:05, 18.85it/s]
eval model::  81%|████████  | 405/500 [00:22<00:04, 19.54it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 20.07it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 20.93it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 22.44it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:03, 21.26it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:05, 14.41it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 14.24it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 13.73it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 13.77it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 16.24it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 15.89it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 19.33it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 21.01it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:02, 20.18it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 21.28it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 22.29it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 20.26it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.29it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 22.37it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 21.32it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:02, 17.04it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 16.49it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 15.68it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 16.42it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 18.84it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 18.57it/s]
eval model::  95%|█████████▌| 477/500 [00:26<00:01, 19.58it/s]
eval model::  96%|█████████▌| 480/500 [00:26<00:00, 20.45it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 20.99it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 20.19it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 21.33it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 20.42it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 22.44it/s]
eval model:: 100%|█████████▉| 499/500 [00:27<00:00, 25.46it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.46it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:35, 13.92it/s]
eval model::   1%|          | 5/500 [00:00<00:24, 20.40it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.85it/s]
eval model::   2%|▏         | 11/500 [00:00<00:30, 16.08it/s]
eval model::   3%|▎         | 13/500 [00:00<00:28, 16.96it/s]
eval model::   3%|▎         | 15/500 [00:00<00:27, 17.42it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.23it/s]
eval model::   4%|▍         | 21/500 [00:01<00:23, 20.01it/s]
eval model::   5%|▌         | 25/500 [00:01<00:22, 20.88it/s]
eval model::   6%|▌         | 28/500 [00:01<00:22, 20.72it/s]
eval model::   6%|▌         | 31/500 [00:01<00:25, 18.53it/s]
eval model::   7%|▋         | 34/500 [00:01<00:23, 19.75it/s]
eval model::   7%|▋         | 37/500 [00:01<00:21, 21.43it/s]
eval model::   8%|▊         | 40/500 [00:02<00:23, 19.34it/s]
eval model::   9%|▊         | 43/500 [00:02<00:25, 18.13it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 16.96it/s]
eval model::  10%|▉         | 49/500 [00:02<00:24, 18.41it/s]
eval model::  10%|█         | 51/500 [00:02<00:24, 18.45it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 20.35it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:21, 20.46it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:21, 20.22it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.26it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.76it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:21, 20.38it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:21, 20.05it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:20, 20.98it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.66it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:17, 23.19it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:18, 21.98it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:21, 18.81it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.57it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.17it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 18.79it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:21, 18.67it/s]
eval model::  20%|██        | 100/500 [00:05<00:22, 18.10it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.04it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 21.89it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.66it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 21.47it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 21.20it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:16, 22.72it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.09it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.27it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.16it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.68it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.29it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.45it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.56it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.27it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.25it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:20, 17.02it/s]
eval model::  30%|███       | 150/500 [00:07<00:19, 18.11it/s]
eval model::  30%|███       | 152/500 [00:07<00:19, 17.91it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 21.48it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.91it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:21, 15.91it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:20, 16.27it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:19, 17.03it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 19.44it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:16, 19.59it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:20, 15.83it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.01it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 16.14it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:16, 18.73it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 18.45it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:16, 18.36it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.58it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 19.94it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.58it/s]
eval model::  41%|████      | 205/500 [00:10<00:18, 15.77it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:18, 15.88it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.53it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.34it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.79it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 12.97it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 14.91it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:19, 14.24it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:15, 17.30it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:15, 17.83it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 20.70it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 22.03it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:11, 22.04it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.14it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:13, 19.65it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 20.77it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 22.34it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 21.38it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.66it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:10, 22.93it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 21.93it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 20.98it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:13, 17.58it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:13, 17.09it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 17.85it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:13, 17.22it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 17.40it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 17.43it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:10, 19.89it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:19, 10.78it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:15, 13.42it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:13, 16.02it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.39it/s]
eval model::  59%|█████▉    | 297/500 [00:16<00:14, 14.49it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 15.19it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 15.87it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.78it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 17.83it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.16it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:09, 19.63it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 19.33it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.45it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 19.82it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 21.61it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 19.68it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.26it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:07, 22.16it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 22.06it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.14it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 17.00it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 19.14it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 21.08it/s]
eval model::  70%|███████   | 352/500 [00:18<00:06, 22.31it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.68it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.81it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.44it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.80it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.59it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.43it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:06, 18.60it/s]
eval model::  75%|███████▍  | 374/500 [00:20<00:06, 20.03it/s]
eval model::  75%|███████▌  | 377/500 [00:20<00:06, 20.37it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:06, 19.82it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 21.67it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:08, 13.22it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:07, 15.23it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.72it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.11it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 20.06it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 18.48it/s]
eval model::  81%|████████  | 404/500 [00:21<00:04, 19.67it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 20.68it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 22.26it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:03, 22.42it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:03, 21.35it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:03, 20.71it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 14.43it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.65it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 15.15it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:03, 17.97it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 17.53it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 20.07it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 22.26it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 21.06it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 23.12it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 24.40it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 20.18it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.55it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:02, 21.53it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 22.66it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 18.68it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:02, 16.75it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 18.16it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 20.24it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 20.58it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 21.86it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 21.07it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 20.53it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 19.47it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 19.80it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 18.17it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 19.59it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 21.29it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.77it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:59,  8.43it/s]
eval model::   1%|          | 3/500 [00:00<00:35, 14.17it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 18.28it/s]
eval model::   2%|▏         | 8/500 [00:00<00:31, 15.49it/s]
eval model::   2%|▏         | 11/500 [00:00<00:32, 15.27it/s]
eval model::   3%|▎         | 13/500 [00:00<00:31, 15.37it/s]
eval model::   3%|▎         | 15/500 [00:00<00:30, 15.69it/s]
eval model::   4%|▍         | 19/500 [00:01<00:25, 18.97it/s]
eval model::   4%|▍         | 22/500 [00:01<00:23, 20.76it/s]
eval model::   5%|▌         | 25/500 [00:01<00:21, 22.08it/s]
eval model::   6%|▌         | 28/500 [00:01<00:21, 21.60it/s]
eval model::   6%|▌         | 31/500 [00:01<00:24, 19.22it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.49it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 18.71it/s]
eval model::   8%|▊         | 39/500 [00:02<00:26, 17.51it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.57it/s]
eval model::   9%|▉         | 45/500 [00:02<00:25, 17.82it/s]
eval model::   9%|▉         | 47/500 [00:02<00:29, 15.18it/s]
eval model::  10%|█         | 50/500 [00:02<00:29, 15.49it/s]
eval model::  11%|█         | 53/500 [00:03<00:24, 17.98it/s]
eval model::  11%|█         | 56/500 [00:03<00:24, 18.35it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:25, 17.41it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:29, 14.95it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:31, 14.03it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:27, 15.92it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:25, 16.63it/s]
eval model::  14%|█▍        | 70/500 [00:04<00:25, 16.84it/s]
eval model::  14%|█▍        | 72/500 [00:04<00:24, 17.58it/s]
eval model::  15%|█▍        | 74/500 [00:04<00:24, 17.29it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:22, 18.79it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.70it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 20.83it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.14it/s]
eval model::  18%|█▊        | 89/500 [00:05<00:22, 17.93it/s]
eval model::  18%|█▊        | 91/500 [00:05<00:22, 18.28it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:22, 18.41it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.92it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.10it/s]
eval model::  20%|██        | 101/500 [00:05<00:23, 17.16it/s]
eval model::  21%|██        | 103/500 [00:05<00:22, 17.80it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 19.70it/s]
eval model::  22%|██▏       | 109/500 [00:06<00:17, 22.16it/s]
eval model::  22%|██▏       | 112/500 [00:06<00:19, 20.06it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:20, 18.80it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 20.47it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.56it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.29it/s]
eval model::  25%|██▌       | 126/500 [00:07<00:20, 18.09it/s]
eval model::  26%|██▌       | 129/500 [00:07<00:19, 18.63it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:21, 16.99it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:22, 16.42it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:19, 18.55it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:21, 17.08it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:20, 17.53it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:18, 19.08it/s]
eval model::  29%|██▉       | 146/500 [00:08<00:17, 19.92it/s]
eval model::  30%|██▉       | 149/500 [00:08<00:18, 18.57it/s]
eval model::  30%|███       | 151/500 [00:08<00:20, 16.85it/s]
eval model::  31%|███       | 155/500 [00:08<00:16, 20.56it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 22.15it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:19, 16.95it/s]
eval model::  33%|███▎      | 163/500 [00:09<00:19, 16.96it/s]
eval model::  33%|███▎      | 166/500 [00:09<00:17, 19.07it/s]
eval model::  34%|███▍      | 169/500 [00:09<00:18, 17.67it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:19, 16.56it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:20, 15.63it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:18, 17.56it/s]
eval model::  36%|███▌      | 180/500 [00:10<00:19, 16.22it/s]
eval model::  36%|███▋      | 182/500 [00:10<00:19, 16.33it/s]
eval model::  37%|███▋      | 185/500 [00:10<00:17, 18.39it/s]
eval model::  37%|███▋      | 187/500 [00:10<00:17, 18.14it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:16, 19.26it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:14, 20.77it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:15, 19.50it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:13, 21.66it/s]
eval model::  40%|████      | 202/500 [00:11<00:12, 23.22it/s]
eval model::  41%|████      | 205/500 [00:11<00:22, 13.39it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:20, 14.51it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:20, 14.50it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.33it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:21, 13.32it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:21, 13.15it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:19, 14.31it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:21, 13.00it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:17, 15.82it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:17, 15.91it/s]
eval model::  46%|████▌     | 229/500 [00:13<00:14, 18.34it/s]
eval model::  46%|████▋     | 232/500 [00:13<00:13, 19.74it/s]
eval model::  47%|████▋     | 235/500 [00:13<00:13, 19.60it/s]
eval model::  48%|████▊     | 238/500 [00:13<00:12, 21.47it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:12, 21.43it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:13, 19.01it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:13, 19.40it/s]
eval model::  50%|█████     | 250/500 [00:14<00:14, 17.81it/s]
eval model::  51%|█████     | 253/500 [00:14<00:12, 19.76it/s]
eval model::  51%|█████     | 256/500 [00:14<00:12, 19.72it/s]
eval model::  52%|█████▏    | 259/500 [00:14<00:11, 21.24it/s]
eval model::  52%|█████▏    | 262/500 [00:14<00:10, 21.74it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:11, 20.23it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:11, 19.71it/s]
eval model::  54%|█████▍    | 271/500 [00:15<00:11, 20.30it/s]
eval model::  55%|█████▍    | 274/500 [00:15<00:11, 20.10it/s]
eval model::  55%|█████▌    | 277/500 [00:15<00:12, 17.77it/s]
eval model::  56%|█████▌    | 279/500 [00:15<00:12, 17.29it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:11, 18.55it/s]
eval model::  57%|█████▋    | 285/500 [00:16<00:19, 11.24it/s]
eval model::  58%|█████▊    | 288/500 [00:16<00:15, 13.58it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:13, 15.58it/s]
eval model::  59%|█████▊    | 293/500 [00:16<00:13, 15.77it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:17, 11.89it/s]
eval model::  60%|█████▉    | 298/500 [00:17<00:13, 14.46it/s]
eval model::  60%|██████    | 300/500 [00:17<00:14, 14.19it/s]
eval model::  60%|██████    | 302/500 [00:17<00:13, 14.75it/s]
eval model::  61%|██████    | 304/500 [00:17<00:12, 15.53it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:11, 16.98it/s]
eval model::  62%|██████▏   | 309/500 [00:17<00:11, 16.44it/s]
eval model::  62%|██████▏   | 311/500 [00:17<00:11, 16.38it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:10, 18.59it/s]
eval model::  63%|██████▎   | 316/500 [00:18<00:10, 17.60it/s]
eval model::  64%|██████▎   | 318/500 [00:18<00:10, 17.79it/s]
eval model::  64%|██████▍   | 320/500 [00:18<00:09, 18.16it/s]
eval model::  64%|██████▍   | 322/500 [00:18<00:09, 18.03it/s]
eval model::  65%|██████▌   | 325/500 [00:18<00:08, 20.42it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:08, 20.60it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 20.10it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:08, 19.65it/s]
eval model::  67%|██████▋   | 337/500 [00:19<00:08, 20.09it/s]
eval model::  68%|██████▊   | 340/500 [00:19<00:10, 15.04it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:09, 16.87it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:08, 17.91it/s]
eval model::  70%|██████▉   | 348/500 [00:19<00:08, 18.22it/s]
eval model::  70%|███████   | 351/500 [00:19<00:07, 19.34it/s]
eval model::  71%|███████   | 354/500 [00:20<00:06, 21.01it/s]
eval model::  71%|███████▏  | 357/500 [00:20<00:07, 18.09it/s]
eval model::  72%|███████▏  | 359/500 [00:20<00:07, 17.67it/s]
eval model::  72%|███████▏  | 361/500 [00:20<00:08, 16.18it/s]
eval model::  73%|███████▎  | 363/500 [00:20<00:08, 16.78it/s]
eval model::  73%|███████▎  | 365/500 [00:20<00:08, 15.93it/s]
eval model::  73%|███████▎  | 367/500 [00:20<00:08, 15.84it/s]
eval model::  74%|███████▍  | 370/500 [00:21<00:07, 17.30it/s]
eval model::  74%|███████▍  | 372/500 [00:21<00:07, 17.52it/s]
eval model::  75%|███████▌  | 375/500 [00:21<00:06, 18.03it/s]
eval model::  76%|███████▌  | 378/500 [00:21<00:06, 19.88it/s]
eval model::  76%|███████▌  | 381/500 [00:21<00:06, 17.70it/s]
eval model::  77%|███████▋  | 384/500 [00:21<00:06, 19.05it/s]
eval model::  77%|███████▋  | 386/500 [00:22<00:09, 11.67it/s]
eval model::  78%|███████▊  | 389/500 [00:22<00:07, 14.08it/s]
eval model::  78%|███████▊  | 392/500 [00:22<00:07, 15.36it/s]
eval model::  79%|███████▉  | 394/500 [00:22<00:06, 15.95it/s]
eval model::  79%|███████▉  | 397/500 [00:22<00:05, 17.59it/s]
eval model::  80%|███████▉  | 399/500 [00:22<00:05, 17.54it/s]
eval model::  80%|████████  | 401/500 [00:22<00:05, 17.01it/s]
eval model::  81%|████████  | 404/500 [00:23<00:05, 18.40it/s]
eval model::  81%|████████▏ | 407/500 [00:23<00:04, 19.38it/s]
eval model::  82%|████████▏ | 410/500 [00:23<00:04, 20.97it/s]
eval model::  83%|████████▎ | 413/500 [00:23<00:04, 20.89it/s]
eval model::  83%|████████▎ | 416/500 [00:23<00:04, 19.55it/s]
eval model::  84%|████████▎ | 418/500 [00:23<00:04, 19.61it/s]
eval model::  84%|████████▍ | 420/500 [00:24<00:06, 13.16it/s]
eval model::  84%|████████▍ | 422/500 [00:24<00:05, 14.29it/s]
eval model::  85%|████████▍ | 424/500 [00:24<00:05, 13.85it/s]
eval model::  85%|████████▌ | 426/500 [00:24<00:04, 15.09it/s]
eval model::  86%|████████▌ | 428/500 [00:24<00:04, 15.12it/s]
eval model::  86%|████████▌ | 431/500 [00:24<00:04, 15.45it/s]
eval model::  87%|████████▋ | 434/500 [00:24<00:03, 17.48it/s]
eval model::  87%|████████▋ | 437/500 [00:24<00:03, 19.45it/s]
eval model::  88%|████████▊ | 440/500 [00:25<00:03, 18.44it/s]
eval model::  89%|████████▉ | 444/500 [00:25<00:02, 21.98it/s]
eval model::  89%|████████▉ | 447/500 [00:25<00:02, 22.86it/s]
eval model::  90%|█████████ | 450/500 [00:25<00:02, 20.24it/s]
eval model::  91%|█████████ | 453/500 [00:25<00:02, 20.46it/s]
eval model::  91%|█████████ | 456/500 [00:25<00:02, 20.96it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 22.24it/s]
eval model::  92%|█████████▏| 462/500 [00:26<00:02, 18.66it/s]
eval model::  93%|█████████▎| 465/500 [00:26<00:02, 16.92it/s]
eval model::  94%|█████████▎| 468/500 [00:26<00:01, 18.02it/s]
eval model::  94%|█████████▍| 471/500 [00:26<00:01, 19.98it/s]
eval model::  95%|█████████▍| 474/500 [00:26<00:01, 19.69it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:00, 22.95it/s]
eval model::  96%|█████████▌| 481/500 [00:27<00:00, 24.02it/s]
eval model::  97%|█████████▋| 484/500 [00:27<00:00, 24.25it/s]
eval model::  97%|█████████▋| 487/500 [00:27<00:00, 20.70it/s]
eval model::  98%|█████████▊| 490/500 [00:27<00:00, 22.29it/s]
eval model::  99%|█████████▊| 493/500 [00:27<00:00, 20.67it/s]
eval model::  99%|█████████▉| 496/500 [00:27<00:00, 21.26it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 24.77it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 17.91it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:58,  8.57it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 18.48it/s]
eval model::   1%|          | 6/500 [00:00<00:26, 18.73it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.37it/s]
eval model::   2%|▏         | 11/500 [00:00<00:26, 18.15it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.85it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.48it/s]
eval model::   4%|▍         | 19/500 [00:01<00:24, 19.52it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.19it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.26it/s]
eval model::   5%|▌         | 27/500 [00:01<00:23, 20.40it/s]
eval model::   6%|▌         | 31/500 [00:01<00:23, 19.87it/s]
eval model::   7%|▋         | 34/500 [00:01<00:23, 20.15it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.26it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 18.01it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.11it/s]
eval model::   9%|▉         | 44/500 [00:02<00:25, 17.63it/s]
eval model::   9%|▉         | 46/500 [00:02<00:28, 16.13it/s]
eval model::  10%|▉         | 49/500 [00:02<00:24, 18.59it/s]
eval model::  10%|█         | 51/500 [00:02<00:24, 18.58it/s]
eval model::  11%|█         | 53/500 [00:02<00:23, 18.65it/s]
eval model::  11%|█         | 56/500 [00:02<00:22, 19.40it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.61it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:28, 15.30it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.35it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 20.11it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.18it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 21.84it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 22.03it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.08it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.89it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 22.68it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:19, 20.84it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:21, 19.27it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 19.76it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:19, 21.00it/s]
eval model::  20%|██        | 100/500 [00:05<00:19, 20.53it/s]
eval model::  21%|██        | 103/500 [00:05<00:18, 21.98it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.02it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.77it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 21.04it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 20.79it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:17, 21.48it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:20, 18.54it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:21, 17.54it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.71it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 18.96it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 17.72it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:20, 17.64it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:19, 18.82it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.56it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.28it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 19.93it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 18.76it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.83it/s]
eval model::  30%|███       | 152/500 [00:07<00:18, 18.47it/s]
eval model::  31%|███       | 154/500 [00:07<00:18, 18.70it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:17, 19.98it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:18, 18.22it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:24, 13.67it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:23, 14.65it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:18, 17.81it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:18, 17.90it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 18.56it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 16.35it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.33it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.21it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:17, 17.93it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.87it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.58it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 20.85it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 20.91it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.60it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.72it/s]
eval model::  41%|████      | 204/500 [00:10<00:14, 20.83it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:28, 10.24it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:26, 10.90it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:24, 11.60it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:22, 12.97it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:24, 11.52it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:24, 11.49it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:19, 14.09it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.64it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.82it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:13, 19.44it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 21.62it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:13, 19.68it/s]
eval model::  48%|████▊     | 238/500 [00:13<00:12, 21.04it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:12, 20.05it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:14, 18.07it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:13, 18.14it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:15, 16.02it/s]
eval model::  50%|█████     | 252/500 [00:13<00:13, 17.73it/s]
eval model::  51%|█████     | 255/500 [00:13<00:13, 18.71it/s]
eval model::  52%|█████▏    | 258/500 [00:14<00:11, 20.52it/s]
eval model::  52%|█████▏    | 262/500 [00:14<00:10, 23.01it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:11, 20.93it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:11, 20.36it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:11, 19.90it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:11, 20.16it/s]
eval model::  55%|█████▌    | 277/500 [00:15<00:12, 18.07it/s]
eval model::  56%|█████▌    | 280/500 [00:15<00:11, 19.40it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:10, 20.12it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:18, 11.78it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:14, 14.31it/s]
eval model::  58%|█████▊    | 292/500 [00:16<00:13, 15.45it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:12, 16.05it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:14, 14.21it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:11, 17.03it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 16.20it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 17.91it/s]
eval model::  62%|██████▏   | 308/500 [00:17<00:10, 18.54it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:10, 18.85it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:10, 18.77it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:09, 18.68it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:10, 18.13it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.40it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 18.04it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.08it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:08, 19.32it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 20.76it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:07, 22.76it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 20.45it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.91it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 18.01it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:07, 19.85it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 21.12it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 21.86it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 20.24it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 20.48it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.63it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.44it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:07, 17.99it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:06, 19.73it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:06, 19.31it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:05, 21.23it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 23.31it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 21.33it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:04, 23.31it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:08, 13.68it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:07, 15.67it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 15.90it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:06, 16.45it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.71it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 19.18it/s]
eval model::  81%|████████  | 405/500 [00:22<00:04, 19.97it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 21.31it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 21.99it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:04, 20.80it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 20.28it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 14.01it/s]
eval model::  85%|████████▍ | 423/500 [00:23<00:04, 15.73it/s]
eval model::  85%|████████▌ | 425/500 [00:23<00:05, 13.81it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:04, 15.74it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 17.05it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 20.57it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 21.85it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:02, 20.77it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 21.82it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 21.72it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 19.88it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.45it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 22.64it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 24.05it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:02, 18.01it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:02, 16.26it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:01, 16.90it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 18.78it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 18.65it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 18.52it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 19.73it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 21.18it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 21.32it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 19.98it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 21.65it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 19.34it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 19.48it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 23.56it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.58it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:57,  8.71it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.19it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 18.21it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.26it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.49it/s]
eval model::   3%|▎         | 13/500 [00:00<00:29, 16.27it/s]
eval model::   3%|▎         | 15/500 [00:00<00:31, 15.29it/s]
eval model::   4%|▎         | 18/500 [00:01<00:27, 17.71it/s]
eval model::   4%|▍         | 20/500 [00:01<00:27, 17.51it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.34it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.54it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 20.65it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 19.79it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.54it/s]
eval model::   7%|▋         | 37/500 [00:02<00:24, 19.27it/s]
eval model::   8%|▊         | 39/500 [00:02<00:27, 16.64it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.57it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.62it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 17.18it/s]
eval model::  10%|█         | 50/500 [00:02<00:25, 17.97it/s]
eval model::  11%|█         | 53/500 [00:02<00:22, 19.53it/s]
eval model::  11%|█         | 56/500 [00:03<00:23, 19.09it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.46it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 15.97it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.60it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:26, 16.49it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:23, 18.41it/s]
eval model::  14%|█▍        | 72/500 [00:04<00:22, 19.17it/s]
eval model::  15%|█▍        | 74/500 [00:04<00:23, 18.34it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:22, 18.58it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:24, 17.35it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:20, 20.09it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:23, 17.73it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:23, 17.98it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:23, 17.21it/s]
eval model::  18%|█▊        | 90/500 [00:05<00:27, 14.70it/s]
eval model::  18%|█▊        | 92/500 [00:05<00:26, 15.49it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:25, 16.15it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:23, 17.03it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.61it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.33it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 22.49it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:17, 21.88it/s]
eval model::  22%|██▏       | 111/500 [00:06<00:17, 22.03it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:16, 23.91it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:17, 22.26it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 20.45it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.94it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:22, 16.66it/s]
eval model::  26%|██▌       | 129/500 [00:07<00:20, 18.30it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:21, 17.31it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:20, 18.13it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:20, 17.99it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:19, 18.65it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.91it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:18, 18.99it/s]
eval model::  30%|██▉       | 149/500 [00:08<00:18, 18.83it/s]
eval model::  30%|███       | 151/500 [00:08<00:19, 17.79it/s]
eval model::  31%|███       | 154/500 [00:08<00:17, 19.56it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:15, 21.49it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:22, 14.97it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.64it/s]
eval model::  33%|███▎      | 166/500 [00:09<00:18, 17.93it/s]
eval model::  34%|███▍      | 169/500 [00:09<00:17, 19.11it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:18, 17.89it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:21, 15.47it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:20, 15.97it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.23it/s]
eval model::  36%|███▌      | 181/500 [00:10<00:20, 15.88it/s]
eval model::  37%|███▋      | 184/500 [00:10<00:17, 18.10it/s]
eval model::  37%|███▋      | 187/500 [00:10<00:16, 19.04it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:16, 19.10it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:14, 20.72it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:16, 18.86it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 20.51it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 22.34it/s]
eval model::  41%|████      | 205/500 [00:11<00:20, 14.15it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:18, 15.38it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 15.63it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.64it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:20, 13.88it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:20, 13.81it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:17, 15.83it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:18, 14.81it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.75it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.22it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.89it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:12, 21.59it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:11, 22.82it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 18.37it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 19.55it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.79it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 19.83it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.72it/s]
eval model::  51%|█████▏    | 257/500 [00:14<00:10, 22.47it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:10, 22.32it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:10, 21.83it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 18.78it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:13, 17.30it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.42it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:12, 17.85it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:11, 19.71it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 21.20it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 21.07it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:18, 11.25it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:14, 14.78it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:13, 14.87it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 13.16it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 15.66it/s]
eval model::  60%|██████    | 301/500 [00:16<00:13, 14.74it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.91it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:11, 17.20it/s]
eval model::  62%|██████▏   | 309/500 [00:17<00:11, 17.09it/s]
eval model::  62%|██████▏   | 311/500 [00:17<00:10, 17.71it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:10, 18.23it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:11, 16.22it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:09, 18.47it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:09, 18.52it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:09, 18.80it/s]
eval model::  65%|██████▌   | 325/500 [00:18<00:09, 18.37it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:09, 18.69it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 19.50it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:07, 21.53it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 19.69it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 14.84it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:09, 17.06it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:08, 18.69it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 19.65it/s]
eval model::  70%|███████   | 352/500 [00:19<00:07, 20.84it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 19.79it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 19.04it/s]
eval model::  72%|███████▏  | 361/500 [00:20<00:07, 17.44it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:07, 17.68it/s]
eval model::  73%|███████▎  | 367/500 [00:20<00:07, 18.53it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:06, 19.92it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:06, 19.71it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:06, 20.39it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:05, 21.55it/s]
eval model::  76%|███████▋  | 382/500 [00:21<00:05, 20.55it/s]
eval model::  77%|███████▋  | 385/500 [00:21<00:05, 22.40it/s]
eval model::  78%|███████▊  | 388/500 [00:21<00:08, 13.41it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:06, 15.59it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 15.92it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 18.09it/s]
eval model::  80%|████████  | 400/500 [00:22<00:05, 18.79it/s]
eval model::  81%|████████  | 403/500 [00:22<00:05, 18.84it/s]
eval model::  81%|████████  | 406/500 [00:22<00:04, 19.60it/s]
eval model::  82%|████████▏ | 409/500 [00:22<00:04, 21.37it/s]
eval model::  82%|████████▏ | 412/500 [00:22<00:03, 22.61it/s]
eval model::  83%|████████▎ | 415/500 [00:22<00:04, 20.84it/s]
eval model::  84%|████████▎ | 418/500 [00:23<00:04, 18.39it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:06, 12.97it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 13.96it/s]
eval model::  85%|████████▌ | 425/500 [00:23<00:04, 15.43it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:03, 18.34it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 18.39it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 21.61it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 23.00it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:02, 20.27it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 21.40it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 21.35it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 19.64it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.43it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 22.08it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 22.56it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:01, 19.97it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:01, 17.99it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 19.43it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 20.48it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 20.52it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:00, 22.45it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 21.52it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 19.96it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 19.04it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 20.49it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 20.09it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 19.88it/s]
eval model:: 100%|█████████▉| 499/500 [00:27<00:00, 20.74it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.42it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:52,  9.47it/s]
eval model::   1%|          | 3/500 [00:00<00:32, 15.45it/s]
eval model::   1%|          | 6/500 [00:00<00:24, 20.13it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.49it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.34it/s]
eval model::   3%|▎         | 13/500 [00:00<00:30, 16.08it/s]
eval model::   3%|▎         | 16/500 [00:00<00:26, 18.37it/s]
eval model::   4%|▍         | 19/500 [00:01<00:23, 20.46it/s]
eval model::   4%|▍         | 22/500 [00:01<00:24, 19.66it/s]
eval model::   5%|▌         | 25/500 [00:01<00:24, 19.47it/s]
eval model::   6%|▌         | 28/500 [00:01<00:23, 20.24it/s]
eval model::   6%|▌         | 31/500 [00:01<00:23, 20.31it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 19.10it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 19.87it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 17.87it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.76it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.23it/s]
eval model::   9%|▉         | 47/500 [00:02<00:25, 17.61it/s]
eval model::  10%|█         | 50/500 [00:02<00:25, 17.96it/s]
eval model::  11%|█         | 53/500 [00:02<00:23, 19.01it/s]
eval model::  11%|█         | 55/500 [00:02<00:23, 19.12it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:23, 19.13it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:25, 17.10it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:32, 13.62it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:32, 13.54it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:26, 16.55it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.49it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.70it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:19, 21.31it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.63it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.52it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.34it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 19.90it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 19.05it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:21, 19.01it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:20, 19.39it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:20, 19.38it/s]
eval model::  20%|██        | 100/500 [00:05<00:20, 19.20it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.76it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.41it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:16, 23.06it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:17, 21.80it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:19, 19.62it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 20.99it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:17, 21.55it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.78it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:19, 19.60it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:20, 18.11it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 17.58it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.99it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.28it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 19.96it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.46it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 18.72it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.93it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.44it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 21.20it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.40it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:22, 15.17it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:21, 15.88it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:20, 16.49it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:19, 16.97it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:17, 18.22it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 16.46it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.59it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.61it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:19, 16.62it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:18, 17.15it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.43it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 18.59it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:16, 18.61it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:15, 20.06it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:17, 17.01it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:16, 18.81it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 20.21it/s]
eval model::  41%|████      | 205/500 [00:11<00:21, 13.73it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:20, 14.42it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:19, 14.72it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 14.41it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.37it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.59it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:22, 12.34it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:18, 15.07it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:19, 14.03it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:15, 17.31it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 16.52it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:14, 18.33it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:13, 20.28it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 20.59it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.50it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:13, 19.32it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 21.04it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 22.24it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 20.60it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.95it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.56it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 22.78it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:11, 21.41it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 18.20it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:13, 16.51it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.32it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.72it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 18.13it/s]
eval model::  56%|█████▌    | 279/500 [00:15<00:12, 18.34it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:10, 20.12it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:19, 11.29it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:15, 13.72it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.29it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:12, 15.93it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 12.98it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:13, 15.34it/s]
eval model::  60%|██████    | 301/500 [00:16<00:14, 14.04it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.89it/s]
eval model::  61%|██████    | 306/500 [00:16<00:11, 16.72it/s]
eval model::  62%|██████▏   | 308/500 [00:17<00:11, 17.43it/s]
eval model::  62%|██████▏   | 311/500 [00:17<00:09, 19.18it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:09, 19.52it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:08, 21.07it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 22.34it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 19.92it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 20.71it/s]
eval model::  66%|██████▌   | 329/500 [00:18<00:08, 19.39it/s]
eval model::  66%|██████▋   | 332/500 [00:18<00:08, 19.91it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:07, 21.75it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 19.69it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:10, 15.14it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:09, 16.77it/s]
eval model::  69%|██████▉   | 347/500 [00:19<00:08, 17.77it/s]
eval model::  70%|███████   | 350/500 [00:19<00:07, 20.06it/s]
eval model::  71%|███████   | 353/500 [00:19<00:07, 20.76it/s]
eval model::  71%|███████   | 356/500 [00:19<00:07, 19.58it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:06, 20.32it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 18.46it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.42it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:07, 16.91it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:07, 18.47it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 17.67it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 19.26it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 21.44it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:06, 19.57it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 21.80it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:09, 12.37it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:07, 14.20it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:07, 14.01it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:06, 16.18it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 18.82it/s]
eval model::  80%|████████  | 401/500 [00:22<00:05, 16.92it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 17.86it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 19.48it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:03, 22.95it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 23.59it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:03, 22.07it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:05, 15.20it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 15.53it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:04, 15.54it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 15.91it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:03, 18.16it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 16.44it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 19.29it/s]
eval model::  87%|████████▋ | 437/500 [00:24<00:03, 20.72it/s]
eval model::  88%|████████▊ | 440/500 [00:24<00:03, 19.36it/s]
eval model::  89%|████████▊ | 443/500 [00:24<00:02, 21.57it/s]
eval model::  89%|████████▉ | 446/500 [00:24<00:02, 21.20it/s]
eval model::  90%|████████▉ | 449/500 [00:24<00:02, 19.58it/s]
eval model::  90%|█████████ | 452/500 [00:24<00:02, 21.42it/s]
eval model::  91%|█████████ | 455/500 [00:24<00:01, 23.00it/s]
eval model::  92%|█████████▏| 458/500 [00:24<00:01, 24.27it/s]
eval model::  92%|█████████▏| 461/500 [00:25<00:01, 24.60it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:01, 18.37it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:02, 16.48it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 18.40it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 19.49it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 20.14it/s]
eval model::  96%|█████████▌| 479/500 [00:26<00:00, 21.23it/s]
eval model::  96%|█████████▋| 482/500 [00:26<00:00, 20.36it/s]
eval model::  97%|█████████▋| 485/500 [00:26<00:00, 20.41it/s]
eval model::  98%|█████████▊| 488/500 [00:26<00:00, 20.27it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 19.92it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 19.87it/s]
eval model::  99%|█████████▉| 497/500 [00:26<00:00, 21.21it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.49it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:50,  9.86it/s]
eval model::   1%|          | 4/500 [00:00<00:25, 19.08it/s]
eval model::   1%|▏         | 7/500 [00:00<00:23, 20.63it/s]
eval model::   2%|▏         | 10/500 [00:00<00:28, 17.48it/s]
eval model::   2%|▏         | 12/500 [00:00<00:34, 14.07it/s]
eval model::   3%|▎         | 14/500 [00:00<00:37, 13.09it/s]
eval model::   3%|▎         | 17/500 [00:01<00:30, 15.60it/s]
eval model::   4%|▍         | 20/500 [00:01<00:29, 16.11it/s]
eval model::   5%|▍         | 23/500 [00:01<00:26, 18.10it/s]
eval model::   5%|▌         | 25/500 [00:01<00:26, 17.98it/s]
eval model::   6%|▌         | 28/500 [00:01<00:24, 19.57it/s]
eval model::   6%|▌         | 31/500 [00:01<00:23, 20.26it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.23it/s]
eval model::   7%|▋         | 36/500 [00:02<00:26, 17.70it/s]
eval model::   8%|▊         | 38/500 [00:02<00:26, 17.55it/s]
eval model::   8%|▊         | 40/500 [00:02<00:27, 17.00it/s]
eval model::   8%|▊         | 42/500 [00:02<00:29, 15.29it/s]
eval model::   9%|▉         | 45/500 [00:02<00:26, 17.19it/s]
eval model::   9%|▉         | 47/500 [00:02<00:29, 15.57it/s]
eval model::  10%|▉         | 49/500 [00:02<00:27, 16.43it/s]
eval model::  10%|█         | 51/500 [00:03<00:26, 17.15it/s]
eval model::  11%|█         | 54/500 [00:03<00:22, 20.00it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:21, 20.81it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:20, 20.97it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.81it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 19.66it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.24it/s]
eval model::  15%|█▍        | 73/500 [00:04<00:19, 21.91it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:18, 23.02it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.36it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.60it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 23.04it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.33it/s]
eval model::  18%|█▊        | 91/500 [00:05<00:26, 15.68it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:26, 15.20it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:25, 16.13it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:23, 17.22it/s]
eval model::  20%|██        | 100/500 [00:05<00:24, 16.43it/s]
eval model::  21%|██        | 103/500 [00:05<00:22, 17.56it/s]
eval model::  21%|██        | 106/500 [00:05<00:21, 18.69it/s]
eval model::  22%|██▏       | 110/500 [00:06<00:18, 21.61it/s]
eval model::  23%|██▎       | 113/500 [00:06<00:18, 21.31it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:18, 20.30it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:18, 20.34it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:19, 19.76it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 18.92it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.14it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.99it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:19, 18.68it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:21, 17.04it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:19, 18.21it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:19, 18.43it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:19, 18.29it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:18, 19.80it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.17it/s]
eval model::  29%|██▉       | 147/500 [00:08<00:20, 17.51it/s]
eval model::  30%|███       | 150/500 [00:08<00:19, 18.31it/s]
eval model::  30%|███       | 152/500 [00:08<00:19, 17.64it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 19.43it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 20.54it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:22, 15.28it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:21, 15.45it/s]
eval model::  33%|███▎      | 166/500 [00:09<00:18, 18.03it/s]
eval model::  34%|███▎      | 168/500 [00:09<00:18, 18.18it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:16, 19.73it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 18.06it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.91it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.77it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:21, 15.03it/s]
eval model::  37%|███▋      | 183/500 [00:10<00:20, 15.79it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:18, 17.16it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:19, 16.11it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:18, 16.59it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:16, 18.99it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:16, 18.35it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 21.15it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 22.66it/s]
eval model::  41%|████      | 204/500 [00:11<00:12, 24.47it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:25, 11.32it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:24, 12.07it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:23, 12.56it/s]
eval model::  43%|████▎     | 213/500 [00:12<00:21, 13.19it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:28, 10.02it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:27, 10.27it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:22, 12.71it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:23, 12.01it/s]
eval model::  45%|████▌     | 226/500 [00:13<00:17, 15.36it/s]
eval model::  46%|████▌     | 229/500 [00:13<00:15, 17.95it/s]
eval model::  46%|████▋     | 232/500 [00:13<00:13, 20.43it/s]
eval model::  47%|████▋     | 235/500 [00:13<00:12, 21.58it/s]
eval model::  48%|████▊     | 238/500 [00:13<00:13, 19.92it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:13, 19.19it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:15, 16.66it/s]
eval model::  49%|████▉     | 246/500 [00:14<00:15, 16.62it/s]
eval model::  50%|████▉     | 249/500 [00:14<00:14, 17.07it/s]
eval model::  51%|█████     | 253/500 [00:14<00:12, 20.52it/s]
eval model::  51%|█████     | 256/500 [00:14<00:11, 21.88it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:09, 25.31it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:10, 23.62it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 19.23it/s]
eval model::  54%|█████▍    | 269/500 [00:15<00:12, 18.79it/s]
eval model::  54%|█████▍    | 272/500 [00:15<00:11, 19.54it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:11, 19.32it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:10, 20.79it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 20.98it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 20.85it/s]
eval model::  57%|█████▋    | 287/500 [00:16<00:20, 10.22it/s]
eval model::  58%|█████▊    | 290/500 [00:16<00:16, 12.38it/s]
eval model::  58%|█████▊    | 292/500 [00:16<00:16, 12.89it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:15, 13.26it/s]
eval model::  59%|█████▉    | 296/500 [00:17<00:17, 11.80it/s]
eval model::  60%|█████▉    | 299/500 [00:17<00:14, 14.09it/s]
eval model::  60%|██████    | 301/500 [00:17<00:14, 13.29it/s]
eval model::  61%|██████    | 304/500 [00:17<00:12, 15.39it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:11, 16.89it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:10, 18.71it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:09, 19.58it/s]
eval model::  63%|██████▎   | 316/500 [00:18<00:09, 19.69it/s]
eval model::  64%|██████▍   | 319/500 [00:18<00:08, 21.10it/s]
eval model::  64%|██████▍   | 322/500 [00:18<00:09, 19.67it/s]
eval model::  65%|██████▌   | 325/500 [00:18<00:08, 21.33it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:08, 21.42it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:07, 21.79it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:06, 23.91it/s]
eval model::  68%|██████▊   | 338/500 [00:19<00:08, 18.44it/s]
eval model::  68%|██████▊   | 341/500 [00:19<00:10, 14.85it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:10, 15.45it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:08, 17.73it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 19.27it/s]
eval model::  70%|███████   | 352/500 [00:20<00:07, 19.06it/s]
eval model::  71%|███████   | 355/500 [00:20<00:07, 18.67it/s]
eval model::  71%|███████▏  | 357/500 [00:20<00:07, 18.19it/s]
eval model::  72%|███████▏  | 360/500 [00:20<00:07, 19.52it/s]
eval model::  73%|███████▎  | 363/500 [00:20<00:07, 18.65it/s]
eval model::  73%|███████▎  | 365/500 [00:20<00:07, 16.99it/s]
eval model::  73%|███████▎  | 367/500 [00:20<00:07, 16.75it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:06, 19.17it/s]
eval model::  74%|███████▍  | 372/500 [00:21<00:07, 17.82it/s]
eval model::  75%|███████▌  | 376/500 [00:21<00:06, 20.34it/s]
eval model::  76%|███████▌  | 379/500 [00:21<00:05, 21.00it/s]
eval model::  76%|███████▋  | 382/500 [00:21<00:06, 19.34it/s]
eval model::  77%|███████▋  | 386/500 [00:22<00:08, 14.24it/s]
eval model::  78%|███████▊  | 390/500 [00:22<00:06, 17.29it/s]
eval model::  79%|███████▊  | 393/500 [00:22<00:05, 19.20it/s]
eval model::  79%|███████▉  | 396/500 [00:22<00:05, 19.34it/s]
eval model::  80%|███████▉  | 399/500 [00:22<00:04, 20.59it/s]
eval model::  80%|████████  | 402/500 [00:22<00:05, 18.73it/s]
eval model::  81%|████████  | 405/500 [00:22<00:04, 19.72it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 20.65it/s]
eval model::  82%|████████▏ | 411/500 [00:23<00:03, 22.36it/s]
eval model::  83%|████████▎ | 414/500 [00:23<00:03, 22.57it/s]
eval model::  83%|████████▎ | 417/500 [00:23<00:03, 21.18it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:06, 13.22it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 14.18it/s]
eval model::  85%|████████▍ | 424/500 [00:24<00:05, 13.51it/s]
eval model::  85%|████████▌ | 426/500 [00:24<00:05, 14.24it/s]
eval model::  86%|████████▌ | 429/500 [00:24<00:04, 17.05it/s]
eval model::  86%|████████▌ | 431/500 [00:24<00:04, 16.14it/s]
eval model::  87%|████████▋ | 434/500 [00:24<00:03, 18.72it/s]
eval model::  87%|████████▋ | 437/500 [00:24<00:03, 20.84it/s]
eval model::  88%|████████▊ | 440/500 [00:24<00:02, 21.56it/s]
eval model::  89%|████████▊ | 443/500 [00:24<00:02, 20.90it/s]
eval model::  89%|████████▉ | 446/500 [00:25<00:02, 20.24it/s]
eval model::  90%|████████▉ | 449/500 [00:25<00:02, 19.17it/s]
eval model::  90%|█████████ | 452/500 [00:25<00:02, 21.42it/s]
eval model::  91%|█████████ | 455/500 [00:25<00:02, 21.72it/s]
eval model::  92%|█████████▏| 458/500 [00:25<00:01, 22.59it/s]
eval model::  92%|█████████▏| 461/500 [00:25<00:01, 21.07it/s]
eval model::  93%|█████████▎| 464/500 [00:26<00:02, 17.31it/s]
eval model::  93%|█████████▎| 466/500 [00:26<00:01, 17.38it/s]
eval model::  94%|█████████▍| 469/500 [00:26<00:01, 18.97it/s]
eval model::  94%|█████████▍| 472/500 [00:26<00:01, 19.98it/s]
eval model::  95%|█████████▌| 475/500 [00:26<00:01, 20.62it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:00, 22.33it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 23.05it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 23.67it/s]
eval model::  97%|█████████▋| 487/500 [00:27<00:00, 24.58it/s]
eval model::  98%|█████████▊| 490/500 [00:27<00:00, 25.15it/s]
eval model::  99%|█████████▊| 493/500 [00:27<00:00, 23.34it/s]
eval model::  99%|█████████▉| 496/500 [00:27<00:00, 23.55it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 25.56it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.14it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:38, 12.77it/s]
eval model::   1%|          | 4/500 [00:00<00:30, 16.08it/s]
eval model::   1%|          | 6/500 [00:00<00:38, 12.91it/s]
eval model::   2%|▏         | 8/500 [00:00<00:35, 14.03it/s]
eval model::   2%|▏         | 10/500 [00:00<00:31, 15.42it/s]
eval model::   2%|▏         | 12/500 [00:00<00:32, 15.01it/s]
eval model::   3%|▎         | 14/500 [00:00<00:33, 14.55it/s]
eval model::   3%|▎         | 17/500 [00:01<00:28, 16.82it/s]
eval model::   4%|▍         | 19/500 [00:01<00:27, 17.22it/s]
eval model::   4%|▍         | 21/500 [00:01<00:26, 17.93it/s]
eval model::   5%|▌         | 25/500 [00:01<00:22, 21.40it/s]
eval model::   6%|▌         | 28/500 [00:01<00:24, 19.45it/s]
eval model::   6%|▌         | 30/500 [00:01<00:24, 19.47it/s]
eval model::   6%|▋         | 32/500 [00:01<00:26, 17.87it/s]
eval model::   7%|▋         | 34/500 [00:02<00:26, 17.58it/s]
eval model::   7%|▋         | 37/500 [00:02<00:22, 20.16it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.88it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.36it/s]
eval model::   9%|▉         | 44/500 [00:02<00:27, 16.34it/s]
eval model::   9%|▉         | 46/500 [00:02<00:32, 13.99it/s]
eval model::  10%|▉         | 49/500 [00:02<00:28, 15.93it/s]
eval model::  10%|█         | 51/500 [00:03<00:28, 15.74it/s]
eval model::  11%|█         | 54/500 [00:03<00:25, 17.49it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:22, 19.47it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:23, 19.08it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:36, 11.87it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:33, 12.93it/s]
eval model::  13%|█▎        | 67/500 [00:04<00:28, 15.26it/s]
eval model::  14%|█▍        | 69/500 [00:04<00:27, 15.86it/s]
eval model::  14%|█▍        | 72/500 [00:04<00:24, 17.69it/s]
eval model::  15%|█▍        | 74/500 [00:04<00:23, 17.79it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:23, 18.10it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:21, 19.73it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 21.26it/s]
eval model::  17%|█▋        | 86/500 [00:05<00:22, 18.44it/s]
eval model::  18%|█▊        | 88/500 [00:05<00:23, 17.25it/s]
eval model::  18%|█▊        | 90/500 [00:05<00:26, 15.63it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:24, 16.38it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 18.81it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.29it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.43it/s]
eval model::  21%|██        | 106/500 [00:06<00:16, 24.12it/s]
eval model::  22%|██▏       | 109/500 [00:06<00:15, 24.49it/s]
eval model::  22%|██▏       | 112/500 [00:06<00:16, 22.98it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:19, 20.13it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:21, 18.16it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:21, 17.74it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:19, 19.22it/s]
eval model::  25%|██▌       | 125/500 [00:07<00:23, 15.80it/s]
eval model::  26%|██▌       | 128/500 [00:07<00:20, 17.79it/s]
eval model::  26%|██▌       | 130/500 [00:07<00:20, 17.86it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:20, 17.53it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.22it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 18.40it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.10it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.80it/s]
eval model::  29%|██▉       | 145/500 [00:08<00:17, 20.06it/s]
eval model::  30%|██▉       | 148/500 [00:08<00:19, 18.28it/s]
eval model::  30%|███       | 150/500 [00:08<00:19, 18.17it/s]
eval model::  30%|███       | 152/500 [00:08<00:22, 15.69it/s]
eval model::  31%|███       | 155/500 [00:08<00:18, 18.33it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:18, 18.08it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:20, 16.90it/s]
eval model::  32%|███▏      | 161/500 [00:09<00:27, 12.54it/s]
eval model::  33%|███▎      | 163/500 [00:09<00:24, 13.55it/s]
eval model::  33%|███▎      | 166/500 [00:09<00:21, 15.78it/s]
eval model::  34%|███▎      | 168/500 [00:09<00:22, 15.06it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:19, 16.47it/s]
eval model::  35%|███▍      | 174/500 [00:10<00:19, 16.38it/s]
eval model::  35%|███▌      | 176/500 [00:10<00:18, 17.07it/s]
eval model::  36%|███▌      | 179/500 [00:10<00:16, 19.33it/s]
eval model::  36%|███▋      | 182/500 [00:10<00:19, 16.71it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:15, 20.16it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:14, 21.50it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 21.25it/s]
eval model::  39%|███▉      | 195/500 [00:11<00:15, 20.02it/s]
eval model::  40%|███▉      | 198/500 [00:11<00:14, 21.14it/s]
eval model::  40%|████      | 201/500 [00:11<00:14, 20.33it/s]
eval model::  41%|████      | 204/500 [00:11<00:13, 22.21it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:17, 16.62it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:18, 16.15it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:18, 15.48it/s]
eval model::  43%|████▎     | 213/500 [00:12<00:19, 15.05it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:22, 12.67it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:22, 12.40it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:21, 13.04it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:22, 12.57it/s]
eval model::  45%|████▍     | 223/500 [00:12<00:20, 13.84it/s]
eval model::  45%|████▌     | 225/500 [00:13<00:18, 15.13it/s]
eval model::  45%|████▌     | 227/500 [00:13<00:17, 15.74it/s]
eval model::  46%|████▌     | 230/500 [00:13<00:14, 19.10it/s]
eval model::  47%|████▋     | 233/500 [00:13<00:13, 20.01it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:12, 20.41it/s]
eval model::  48%|████▊     | 240/500 [00:13<00:11, 22.30it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:12, 20.46it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:11, 22.53it/s]
eval model::  50%|████▉     | 249/500 [00:14<00:12, 19.66it/s]
eval model::  50%|█████     | 252/500 [00:14<00:12, 20.45it/s]
eval model::  51%|█████     | 255/500 [00:14<00:10, 22.36it/s]
eval model::  52%|█████▏    | 258/500 [00:14<00:11, 20.27it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:12, 18.88it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:12, 19.07it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:12, 18.98it/s]
eval model::  54%|█████▎    | 268/500 [00:15<00:11, 20.69it/s]
eval model::  54%|█████▍    | 271/500 [00:15<00:11, 19.32it/s]
eval model::  55%|█████▍    | 273/500 [00:15<00:11, 19.40it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:12, 18.44it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:10, 20.47it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 21.45it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 22.33it/s]
eval model::  57%|█████▋    | 287/500 [00:16<00:19, 10.88it/s]
eval model::  58%|█████▊    | 290/500 [00:16<00:16, 13.04it/s]
eval model::  59%|█████▊    | 293/500 [00:16<00:14, 14.72it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:16, 12.52it/s]
eval model::  60%|█████▉    | 299/500 [00:17<00:12, 16.61it/s]
eval model::  60%|██████    | 302/500 [00:17<00:12, 15.71it/s]
eval model::  61%|██████    | 304/500 [00:17<00:12, 16.03it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:10, 17.75it/s]
eval model::  62%|██████▏   | 309/500 [00:17<00:10, 18.21it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:09, 19.37it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:09, 19.55it/s]
eval model::  64%|██████▎   | 318/500 [00:18<00:08, 20.89it/s]
eval model::  64%|██████▍   | 321/500 [00:18<00:08, 20.60it/s]
eval model::  65%|██████▍   | 324/500 [00:18<00:08, 19.74it/s]
eval model::  65%|██████▌   | 327/500 [00:18<00:08, 19.93it/s]
eval model::  66%|██████▌   | 330/500 [00:18<00:09, 18.55it/s]
eval model::  66%|██████▋   | 332/500 [00:18<00:09, 18.12it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:08, 19.87it/s]
eval model::  68%|██████▊   | 338/500 [00:19<00:08, 18.07it/s]
eval model::  68%|██████▊   | 340/500 [00:19<00:11, 13.79it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:10, 15.50it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:08, 17.15it/s]
eval model::  70%|██████▉   | 348/500 [00:19<00:08, 17.69it/s]
eval model::  70%|███████   | 351/500 [00:19<00:07, 19.03it/s]
eval model::  71%|███████   | 354/500 [00:20<00:06, 21.12it/s]
eval model::  71%|███████▏  | 357/500 [00:20<00:07, 19.30it/s]
eval model::  72%|███████▏  | 360/500 [00:20<00:06, 20.96it/s]
eval model::  73%|███████▎  | 363/500 [00:20<00:06, 19.85it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:07, 18.77it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:06, 20.38it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 18.25it/s]
eval model::  75%|███████▌  | 375/500 [00:21<00:06, 18.78it/s]
eval model::  76%|███████▌  | 378/500 [00:21<00:05, 20.38it/s]
eval model::  76%|███████▌  | 381/500 [00:21<00:06, 18.64it/s]
eval model::  77%|███████▋  | 384/500 [00:21<00:05, 19.76it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:08, 13.08it/s]
eval model::  78%|███████▊  | 390/500 [00:22<00:07, 14.90it/s]
eval model::  78%|███████▊  | 392/500 [00:22<00:07, 15.16it/s]
eval model::  79%|███████▉  | 394/500 [00:22<00:06, 15.82it/s]
eval model::  79%|███████▉  | 397/500 [00:22<00:05, 18.71it/s]
eval model::  80%|████████  | 400/500 [00:22<00:05, 17.67it/s]
eval model::  80%|████████  | 402/500 [00:22<00:05, 17.57it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 17.29it/s]
eval model::  81%|████████▏ | 407/500 [00:23<00:05, 18.32it/s]
eval model::  82%|████████▏ | 410/500 [00:23<00:04, 18.93it/s]
eval model::  83%|████████▎ | 413/500 [00:23<00:04, 19.97it/s]
eval model::  83%|████████▎ | 416/500 [00:23<00:04, 19.28it/s]
eval model::  84%|████████▍ | 419/500 [00:23<00:04, 19.80it/s]
eval model::  84%|████████▍ | 422/500 [00:24<00:05, 13.60it/s]
eval model::  85%|████████▍ | 424/500 [00:24<00:05, 13.85it/s]
eval model::  85%|████████▌ | 426/500 [00:24<00:04, 14.92it/s]
eval model::  86%|████████▌ | 429/500 [00:24<00:04, 17.09it/s]
eval model::  86%|████████▌ | 431/500 [00:24<00:04, 17.25it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 20.65it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 22.18it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:02, 20.22it/s]
eval model::  89%|████████▉ | 444/500 [00:25<00:02, 21.27it/s]
eval model::  89%|████████▉ | 447/500 [00:25<00:02, 21.86it/s]
eval model::  90%|█████████ | 450/500 [00:25<00:02, 19.41it/s]
eval model::  91%|█████████ | 453/500 [00:25<00:02, 21.71it/s]
eval model::  91%|█████████ | 456/500 [00:25<00:01, 23.51it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 23.13it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:01, 19.28it/s]
eval model::  93%|█████████▎| 465/500 [00:26<00:01, 18.16it/s]
eval model::  93%|█████████▎| 467/500 [00:26<00:01, 18.11it/s]
eval model::  94%|█████████▍| 470/500 [00:26<00:01, 20.68it/s]
eval model::  95%|█████████▍| 473/500 [00:26<00:01, 21.34it/s]
eval model::  95%|█████████▌| 476/500 [00:26<00:01, 23.41it/s]
eval model::  96%|█████████▌| 480/500 [00:26<00:00, 25.79it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 25.88it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 25.21it/s]
eval model::  98%|█████████▊| 489/500 [00:27<00:00, 25.44it/s]
eval model::  98%|█████████▊| 492/500 [00:27<00:00, 23.62it/s]
eval model::  99%|█████████▉| 495/500 [00:27<00:00, 24.87it/s]
eval model:: 100%|█████████▉| 499/500 [00:27<00:00, 27.75it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.22it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:51,  9.72it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 19.03it/s]
eval model::   1%|          | 6/500 [00:00<00:26, 18.50it/s]
eval model::   2%|▏         | 9/500 [00:00<00:23, 20.52it/s]
eval model::   2%|▏         | 12/500 [00:00<00:25, 19.32it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.54it/s]
eval model::   4%|▎         | 18/500 [00:00<00:21, 22.56it/s]
eval model::   4%|▍         | 21/500 [00:01<00:22, 21.62it/s]
eval model::   5%|▍         | 24/500 [00:01<00:21, 22.59it/s]
eval model::   5%|▌         | 27/500 [00:01<00:21, 22.48it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 21.29it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 19.71it/s]
eval model::   7%|▋         | 36/500 [00:01<00:26, 17.75it/s]
eval model::   8%|▊         | 39/500 [00:02<00:26, 17.51it/s]
eval model::   8%|▊         | 41/500 [00:02<00:26, 17.24it/s]
eval model::   9%|▊         | 43/500 [00:02<00:29, 15.46it/s]
eval model::   9%|▉         | 46/500 [00:02<00:28, 15.80it/s]
eval model::  10%|▉         | 49/500 [00:02<00:24, 18.16it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 19.41it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 20.51it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 19.01it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:23, 18.65it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:28, 15.63it/s]
eval model::  13%|█▎        | 65/500 [00:03<00:24, 17.51it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:21, 19.81it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:21, 20.37it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:21, 20.20it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:21, 20.00it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:18, 22.23it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:17, 23.44it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:18, 22.36it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:21, 19.35it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:21, 19.40it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:21, 18.72it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:20, 19.86it/s]
eval model::  20%|██        | 101/500 [00:05<00:20, 19.57it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 21.43it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 21.43it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:17, 22.22it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:17, 22.53it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:17, 22.41it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:17, 21.42it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:18, 20.14it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:20, 18.13it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:19, 19.30it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:20, 17.66it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 16.81it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:19, 18.99it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 18.54it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.15it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.62it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.05it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 19.81it/s]
eval model::  30%|███       | 151/500 [00:07<00:18, 18.42it/s]
eval model::  31%|███       | 154/500 [00:07<00:17, 20.31it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:16, 20.69it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:21, 15.52it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.28it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 19.01it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 19.07it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 19.80it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:17, 18.37it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:17, 18.53it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:18, 17.01it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.30it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:14, 21.17it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.04it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 20.82it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 20.69it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.21it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.94it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.26it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:21, 13.37it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:20, 13.86it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 14.04it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.61it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.40it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:23, 11.97it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:19, 14.44it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:20, 13.57it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:16, 16.87it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:14, 18.65it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:12, 21.25it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:13, 20.26it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:12, 21.09it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:12, 20.94it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:14, 18.09it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 19.97it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 19.39it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 21.93it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 22.01it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:10, 22.30it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:10, 22.89it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:10, 22.27it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:10, 21.23it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:11, 20.38it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:10, 20.68it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:13, 16.88it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:11, 18.61it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:11, 19.04it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:18, 11.46it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:15, 13.82it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:13, 15.97it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:15, 13.41it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:12, 15.93it/s]
eval model::  60%|██████    | 301/500 [00:16<00:12, 15.55it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.52it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:09, 19.41it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:08, 21.50it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 20.35it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 18.91it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:09, 19.85it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 18.66it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:09, 18.69it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:09, 18.45it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:09, 18.43it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 19.52it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 20.92it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 19.19it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:08, 18.44it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:11, 13.61it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:09, 15.87it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 17.04it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 19.85it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 21.58it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:07, 19.41it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:06, 20.30it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 18.45it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:07, 17.07it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.16it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 18.77it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 18.90it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 20.55it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 21.02it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 20.41it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 22.65it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:08, 13.80it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 16.05it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 17.34it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 17.53it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.35it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 17.74it/s]
eval model::  81%|████████  | 404/500 [00:21<00:05, 18.19it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 19.12it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 20.77it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 20.88it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 20.31it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 19.66it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 13.91it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 14.02it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.22it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 17.18it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 16.54it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 19.52it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:02, 21.19it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:03, 19.86it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 21.91it/s]
eval model::  90%|████████▉ | 448/500 [00:24<00:02, 22.19it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 22.09it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:01, 23.23it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 22.60it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 20.81it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 17.22it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 16.69it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 18.09it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 20.12it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 19.03it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 19.87it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 20.35it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 19.64it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 20.20it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 21.27it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 19.99it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 20.92it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 21.13it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.77it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.25it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.84it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 17.89it/s]
eval model::   2%|▏         | 8/500 [00:00<00:33, 14.54it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.66it/s]
eval model::   3%|▎         | 13/500 [00:00<00:28, 17.21it/s]
eval model::   3%|▎         | 15/500 [00:00<00:27, 17.49it/s]
eval model::   4%|▎         | 18/500 [00:01<00:24, 19.46it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.49it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.28it/s]
eval model::   5%|▌         | 25/500 [00:01<00:27, 17.51it/s]
eval model::   6%|▌         | 28/500 [00:01<00:23, 20.07it/s]
eval model::   6%|▌         | 31/500 [00:01<00:23, 19.89it/s]
eval model::   7%|▋         | 34/500 [00:01<00:22, 20.82it/s]
eval model::   7%|▋         | 37/500 [00:01<00:21, 21.96it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 18.01it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.37it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.24it/s]
eval model::   9%|▉         | 47/500 [00:02<00:29, 15.58it/s]
eval model::  10%|█         | 50/500 [00:02<00:26, 17.03it/s]
eval model::  11%|█         | 53/500 [00:02<00:24, 18.25it/s]
eval model::  11%|█         | 56/500 [00:03<00:23, 19.02it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:24, 18.08it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:23, 18.51it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:28, 15.61it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:28, 15.10it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:24, 17.73it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:22, 19.46it/s]
eval model::  15%|█▍        | 73/500 [00:04<00:21, 19.97it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:20, 20.67it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.80it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.84it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 22.78it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.36it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:23, 17.76it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:22, 17.85it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:19, 20.53it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:18, 21.63it/s]
eval model::  20%|██        | 102/500 [00:05<00:18, 21.58it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 23.10it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:16, 24.30it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 20.31it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 21.85it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:18, 20.83it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 20.95it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:16, 22.26it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 17.93it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.56it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.42it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 19.06it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.75it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.36it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.38it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.36it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.47it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 21.33it/s]
eval model::  31%|███       | 156/500 [00:08<00:15, 22.27it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 20.95it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:19, 17.52it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 17.85it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 19.19it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 21.29it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:16, 19.96it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.79it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.34it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:19, 16.63it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 18.70it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 19.65it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 20.36it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:14, 21.82it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:14, 20.68it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:13, 22.08it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 21.90it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 15.45it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 15.49it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 15.46it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.46it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.86it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.52it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:19, 14.37it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:19, 14.60it/s]
eval model::  45%|████▍     | 223/500 [00:11<00:18, 15.22it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.52it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.59it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 23.57it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:11, 23.60it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:10, 25.11it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:12, 21.42it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 21.51it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:11, 21.80it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 20.62it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 22.19it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:10, 22.29it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 22.49it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 21.47it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:11, 20.30it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:11, 20.23it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:10, 21.15it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 18.72it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.25it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.59it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:11, 19.41it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:20, 10.33it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:18, 11.50it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:14, 14.49it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:13, 15.47it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:15, 13.40it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:12, 15.88it/s]
eval model::  60%|██████    | 301/500 [00:16<00:13, 15.26it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.45it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:09, 19.47it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 20.55it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 20.03it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 19.98it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 21.17it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 20.13it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 21.11it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 20.46it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.77it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 22.44it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 18.73it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.32it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 17.13it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 19.23it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 20.54it/s]
eval model::  70%|███████   | 352/500 [00:18<00:06, 21.59it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 21.87it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 21.40it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 17.76it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.76it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.57it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 19.08it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 19.46it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:06, 20.52it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 22.07it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 20.75it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 13.95it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 16.40it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:05, 18.00it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:05, 19.27it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:04, 20.53it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 18.32it/s]
eval model::  81%|████████  | 404/500 [00:21<00:05, 19.05it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:05, 18.51it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 21.70it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 21.66it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 20.00it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:04, 16.69it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 17.09it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 16.75it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.78it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 19.54it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 20.00it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:02, 22.21it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 23.90it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 22.47it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 22.98it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 22.13it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 18.93it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 20.36it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 21.45it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 23.11it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:01, 21.94it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:01, 18.29it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 19.05it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 20.45it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 19.40it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 21.47it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 22.15it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 22.28it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 21.88it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 22.83it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 21.31it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 22.57it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 24.32it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.22it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:58,  8.58it/s]
eval model::   1%|          | 3/500 [00:00<00:35, 13.96it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.30it/s]
eval model::   2%|▏         | 9/500 [00:00<00:25, 19.44it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.78it/s]
eval model::   3%|▎         | 13/500 [00:00<00:27, 17.97it/s]
eval model::   3%|▎         | 15/500 [00:00<00:26, 18.17it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.55it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.38it/s]
eval model::   5%|▍         | 24/500 [00:01<00:21, 21.78it/s]
eval model::   5%|▌         | 27/500 [00:01<00:21, 22.03it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 20.98it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.48it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 18.97it/s]
eval model::   8%|▊         | 38/500 [00:01<00:24, 19.17it/s]
eval model::   8%|▊         | 40/500 [00:02<00:27, 16.84it/s]
eval model::   8%|▊         | 42/500 [00:02<00:28, 16.04it/s]
eval model::   9%|▉         | 45/500 [00:02<00:25, 17.68it/s]
eval model::   9%|▉         | 47/500 [00:02<00:25, 17.68it/s]
eval model::  10%|▉         | 49/500 [00:02<00:25, 17.98it/s]
eval model::  10%|█         | 51/500 [00:02<00:24, 18.32it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 20.79it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:20, 21.44it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:21, 20.17it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.74it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 16.72it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:21, 20.39it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 21.02it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 22.08it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.67it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:20, 20.71it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 20.57it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:22, 18.26it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:24, 16.52it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:23, 17.22it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:23, 17.63it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:21, 19.18it/s]
eval model::  20%|██        | 100/500 [00:05<00:19, 20.48it/s]
eval model::  21%|██        | 103/500 [00:05<00:17, 22.27it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.27it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 21.32it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 19.78it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:20, 18.89it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:19, 19.99it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.45it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.55it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 17.88it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.73it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 16.97it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 19.04it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.67it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.13it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.70it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.15it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 19.38it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.75it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:14, 23.30it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:19, 17.56it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:18, 17.91it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:18, 18.27it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 18.15it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:18, 18.21it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.69it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.28it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.06it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.66it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 16.93it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 19.08it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.16it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:17, 18.32it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:17, 18.12it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:15, 19.66it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:16, 18.57it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.92it/s]
eval model::  40%|████      | 200/500 [00:10<00:13, 21.77it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 22.30it/s]
eval model::  41%|████      | 206/500 [00:11<00:20, 14.00it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:20, 14.03it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:20, 14.31it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.56it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.77it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.63it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:19, 14.77it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:19, 14.09it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:16, 16.58it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.38it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 20.35it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 22.44it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 21.07it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 22.98it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:13, 18.98it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 20.54it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 19.35it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 20.61it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 20.56it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 21.19it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 21.68it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:11, 19.89it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:12, 19.10it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 18.30it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 20.01it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 18.02it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.90it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.34it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 21.49it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:18, 11.80it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:13, 15.11it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:13, 14.80it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 12.93it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 15.69it/s]
eval model::  60%|██████    | 301/500 [00:16<00:13, 15.20it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.85it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.78it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:10, 18.84it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:10, 18.16it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:10, 17.97it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:09, 19.42it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:09, 19.27it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:09, 19.28it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 19.65it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 20.57it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.82it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:06, 23.54it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:07, 22.31it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:09, 16.79it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:08, 18.85it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:07, 19.76it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 20.62it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 22.60it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:07, 19.70it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:07, 19.74it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 19.46it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.15it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 19.00it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 19.42it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:05, 21.60it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:04, 24.60it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 22.55it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 13.96it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 15.94it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.96it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.05it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 19.63it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 17.91it/s]
eval model::  81%|████████  | 404/500 [00:21<00:04, 19.33it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 20.59it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 21.84it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 21.07it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:03, 21.45it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 19.41it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 15.41it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.58it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.12it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:03, 18.03it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 16.96it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 19.89it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:02, 21.43it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:02, 21.20it/s]
eval model::  89%|████████▊ | 443/500 [00:23<00:02, 23.04it/s]
eval model::  89%|████████▉ | 446/500 [00:23<00:02, 22.71it/s]
eval model::  90%|████████▉ | 449/500 [00:24<00:02, 20.47it/s]
eval model::  90%|█████████ | 452/500 [00:24<00:02, 21.47it/s]
eval model::  91%|█████████ | 455/500 [00:24<00:01, 22.80it/s]
eval model::  92%|█████████▏| 458/500 [00:24<00:01, 23.81it/s]
eval model::  92%|█████████▏| 461/500 [00:24<00:01, 23.92it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:02, 17.72it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 17.43it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 19.33it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 19.78it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 20.25it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:01, 20.67it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 21.49it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 21.96it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 21.51it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 20.86it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 20.76it/s]
eval model::  99%|█████████▉| 497/500 [00:26<00:00, 21.43it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 21.95it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.92it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:37, 13.40it/s]
eval model::   1%|          | 5/500 [00:00<00:26, 19.03it/s]
eval model::   1%|▏         | 7/500 [00:00<00:26, 18.70it/s]
eval model::   2%|▏         | 9/500 [00:00<00:27, 17.67it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.69it/s]
eval model::   3%|▎         | 13/500 [00:00<00:26, 18.17it/s]
eval model::   3%|▎         | 15/500 [00:00<00:26, 18.23it/s]
eval model::   4%|▎         | 18/500 [00:00<00:22, 21.45it/s]
eval model::   4%|▍         | 21/500 [00:01<00:22, 21.06it/s]
eval model::   5%|▍         | 24/500 [00:01<00:20, 23.17it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 20.68it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 21.58it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 19.89it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 18.96it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 18.18it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 18.24it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.56it/s]
eval model::  10%|▉         | 48/500 [00:02<00:24, 18.11it/s]
eval model::  10%|█         | 50/500 [00:02<00:24, 18.47it/s]
eval model::  11%|█         | 53/500 [00:02<00:22, 19.94it/s]
eval model::  11%|█         | 56/500 [00:02<00:22, 20.06it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:24, 17.92it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:28, 15.16it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.80it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 17.11it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.44it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 20.28it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:20, 20.60it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.21it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.44it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:22, 18.80it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.07it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:23, 17.86it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:23, 17.66it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:24, 16.70it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:23, 17.31it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:21, 18.90it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.92it/s]
eval model::  21%|██        | 103/500 [00:05<00:18, 21.45it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.49it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.69it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 20.18it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:20, 18.61it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 20.18it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:22, 16.88it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:22, 16.60it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:20, 18.25it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:21, 17.10it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:22, 16.32it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:20, 18.20it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:19, 18.94it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:19, 18.59it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.24it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:18, 18.77it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:20, 17.34it/s]
eval model::  30%|███       | 151/500 [00:08<00:19, 17.57it/s]
eval model::  31%|███       | 155/500 [00:08<00:16, 20.65it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 22.41it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.77it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.82it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:19, 17.12it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 17.64it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:16, 19.59it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:16, 20.00it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.94it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.55it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:19, 16.26it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 18.51it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 18.71it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:15, 19.82it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:15, 20.06it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.25it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:15, 19.12it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 21.26it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 21.64it/s]
eval model::  41%|████      | 206/500 [00:11<00:20, 14.52it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:20, 14.30it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.81it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.28it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.82it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 14.08it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:17, 16.19it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:18, 14.87it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:14, 18.54it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.82it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 20.96it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 20.76it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.40it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:13, 19.49it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 20.85it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.51it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 20.72it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 22.08it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.59it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 23.13it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:10, 23.66it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 18.48it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 18.04it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 19.58it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.29it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.62it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:11, 19.91it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 20.59it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:18, 11.72it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:13, 15.03it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 15.97it/s]
eval model::  59%|█████▉    | 297/500 [00:16<00:14, 14.40it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 15.23it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 17.08it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 17.43it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:10, 18.22it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 19.22it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:09, 18.77it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:09, 19.71it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 20.68it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:09, 19.66it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 20.60it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 21.08it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 22.10it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 23.56it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:07, 20.83it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:10, 14.89it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 15.74it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 18.41it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 20.73it/s]
eval model::  70%|███████   | 352/500 [00:18<00:06, 21.76it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.65it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.50it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.53it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.77it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 18.22it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 18.81it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 18.67it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 22.04it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.31it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 22.58it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 13.15it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:07, 15.09it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.19it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 17.67it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 20.25it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 19.04it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.22it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 20.54it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 22.06it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 22.05it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 19.97it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 15.64it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 15.08it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.45it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.22it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 19.39it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 20.01it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:03, 21.04it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 21.34it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 21.31it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 22.85it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 22.73it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 21.65it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 22.65it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:02, 20.60it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:02, 19.30it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 16.44it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:02, 16.06it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 15.82it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 16.74it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 19.87it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 19.17it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 19.63it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 20.01it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 21.09it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 20.50it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 21.78it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 19.81it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 20.63it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 23.53it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.82it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:52,  9.42it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 18.66it/s]
eval model::   1%|          | 6/500 [00:00<00:26, 18.67it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.43it/s]
eval model::   2%|▏         | 11/500 [00:00<00:26, 18.30it/s]
eval model::   3%|▎         | 13/500 [00:00<00:26, 18.26it/s]
eval model::   3%|▎         | 15/500 [00:00<00:26, 18.09it/s]
eval model::   4%|▍         | 19/500 [00:01<00:23, 20.65it/s]
eval model::   4%|▍         | 22/500 [00:01<00:23, 20.77it/s]
eval model::   5%|▌         | 25/500 [00:01<00:22, 20.71it/s]
eval model::   6%|▌         | 28/500 [00:01<00:22, 21.20it/s]
eval model::   6%|▌         | 31/500 [00:01<00:23, 19.82it/s]
eval model::   7%|▋         | 34/500 [00:01<00:22, 20.96it/s]
eval model::   7%|▋         | 37/500 [00:01<00:21, 21.48it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.59it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.91it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.93it/s]
eval model::   9%|▉         | 47/500 [00:02<00:24, 18.56it/s]
eval model::  10%|█         | 50/500 [00:02<00:23, 18.83it/s]
eval model::  11%|█         | 53/500 [00:02<00:22, 20.12it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 20.86it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:23, 19.17it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:28, 15.41it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.90it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 17.16it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 18.83it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 20.33it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 21.55it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.65it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.80it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.17it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.38it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:21, 19.07it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.41it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 18.54it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:19, 20.22it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.68it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.64it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 22.26it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:17, 21.84it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 19.79it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 21.05it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 20.25it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.41it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.18it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:22, 16.60it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:20, 18.32it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:22, 16.56it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:19, 19.10it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.38it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.89it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.72it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.09it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.27it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 20.38it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:15, 22.80it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:19, 17.33it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:18, 18.70it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:16, 20.22it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 19.31it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 19.75it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:17, 18.48it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:16, 19.73it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:17, 18.46it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 19.73it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 20.00it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 19.63it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:14, 21.18it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:15, 19.12it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:15, 19.97it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 19.94it/s]
eval model::  41%|████      | 205/500 [00:10<00:21, 13.68it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:19, 14.75it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.71it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.33it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.93it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 15.01it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:17, 15.79it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:19, 14.44it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:16, 16.97it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:15, 17.41it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.54it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.59it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 20.40it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 21.62it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 18.44it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:13, 18.58it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:12, 19.51it/s]
eval model::  50%|█████     | 250/500 [00:13<00:13, 18.53it/s]
eval model::  51%|█████     | 253/500 [00:13<00:12, 20.57it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 21.56it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:09, 24.99it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:09, 24.91it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:10, 21.41it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:11, 19.49it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:10, 21.47it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.86it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 21.16it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:09, 22.04it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 22.13it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 12.96it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:13, 15.32it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:12, 16.98it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:13, 14.99it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 17.51it/s]
eval model::  60%|██████    | 302/500 [00:15<00:11, 17.39it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 18.66it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 20.74it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:08, 21.28it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 20.61it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 20.99it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 22.05it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 20.38it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 21.17it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 20.29it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.26it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 23.14it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 19.61it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:10, 15.30it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.09it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.93it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.46it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 20.93it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 20.94it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:07, 20.16it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:07, 17.84it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.58it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.04it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 18.94it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:06, 19.13it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:05, 21.24it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 23.03it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:05, 20.50it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:05, 21.85it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 14.06it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 16.62it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 17.62it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:05, 17.88it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:04, 20.48it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 19.99it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.59it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 20.75it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 22.25it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 22.89it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:03, 20.85it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 15.44it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 15.88it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.54it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.11it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 19.92it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 21.06it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 22.18it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 22.20it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 22.10it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 23.55it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 22.54it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 22.05it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:01, 23.96it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 23.97it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 22.21it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 18.94it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 19.14it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 19.87it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 19.98it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 19.78it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 19.89it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 20.24it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 20.64it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 20.01it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 20.94it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 18.55it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 19.38it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 22.34it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.35it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:52,  9.46it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 18.76it/s]
eval model::   1%|          | 6/500 [00:00<00:25, 19.01it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.32it/s]
eval model::   2%|▏         | 11/500 [00:00<00:24, 19.64it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.73it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.34it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 19.08it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.40it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 19.49it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 20.35it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.00it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 19.14it/s]
eval model::   7%|▋         | 37/500 [00:01<00:21, 21.10it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.84it/s]
eval model::   8%|▊         | 42/500 [00:02<00:29, 15.44it/s]
eval model::   9%|▉         | 45/500 [00:02<00:26, 17.22it/s]
eval model::   9%|▉         | 47/500 [00:02<00:28, 15.75it/s]
eval model::  10%|▉         | 49/500 [00:02<00:27, 16.65it/s]
eval model::  10%|█         | 52/500 [00:02<00:25, 17.70it/s]
eval model::  11%|█         | 55/500 [00:02<00:22, 19.44it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:24, 17.73it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:29, 15.05it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:30, 14.37it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:27, 16.00it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:23, 18.60it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 20.02it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:19, 21.59it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.89it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.43it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.06it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:24, 16.96it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:26, 15.78it/s]
eval model::  18%|█▊        | 91/500 [00:05<00:25, 15.75it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:25, 15.84it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:23, 17.50it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.46it/s]
eval model::  20%|██        | 101/500 [00:05<00:20, 19.38it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 21.96it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:16, 24.05it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:18, 21.49it/s]
eval model::  23%|██▎       | 113/500 [00:06<00:19, 19.58it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:20, 18.78it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:18, 20.10it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:20, 18.06it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:22, 16.60it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:23, 16.22it/s]
eval model::  26%|██▌       | 129/500 [00:07<00:21, 17.59it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:22, 16.49it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:22, 16.62it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:21, 17.16it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.18it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.60it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:15, 22.94it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 19.81it/s]
eval model::  30%|███       | 150/500 [00:08<00:16, 20.60it/s]
eval model::  31%|███       | 153/500 [00:08<00:17, 19.68it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:13, 25.27it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:16, 20.04it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 18.09it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 18.06it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:17, 18.86it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:19, 17.11it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:20, 15.85it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:20, 16.09it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.42it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:20, 15.65it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:20, 15.66it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:16, 18.73it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:16, 19.31it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:15, 20.24it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.87it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 19.43it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.35it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.56it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:22, 13.19it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:21, 13.63it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:21, 13.61it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:20, 13.92it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.77it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:23, 12.19it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:19, 14.64it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.38it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:17, 15.53it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:17, 15.84it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:15, 17.19it/s]
eval model::  47%|████▋     | 233/500 [00:13<00:13, 19.17it/s]
eval model::  47%|████▋     | 235/500 [00:13<00:13, 19.22it/s]
eval model::  48%|████▊     | 238/500 [00:13<00:13, 19.87it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:12, 20.24it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:14, 18.27it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:13, 18.86it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:14, 17.71it/s]
eval model::  50%|█████     | 252/500 [00:14<00:13, 18.82it/s]
eval model::  51%|█████     | 255/500 [00:14<00:12, 19.30it/s]
eval model::  51%|█████▏    | 257/500 [00:14<00:13, 18.66it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:11, 20.14it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:12, 18.99it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:12, 18.24it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:12, 18.14it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 17.79it/s]
eval model::  54%|█████▍    | 272/500 [00:15<00:12, 18.49it/s]
eval model::  55%|█████▍    | 274/500 [00:15<00:11, 18.85it/s]
eval model::  55%|█████▌    | 276/500 [00:15<00:13, 16.58it/s]
eval model::  56%|█████▌    | 279/500 [00:15<00:11, 18.62it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:09, 21.76it/s]
eval model::  57%|█████▋    | 286/500 [00:16<00:18, 11.47it/s]
eval model::  58%|█████▊    | 289/500 [00:16<00:15, 13.69it/s]
eval model::  58%|█████▊    | 292/500 [00:16<00:13, 15.62it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:15, 13.17it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:13, 15.08it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 15.27it/s]
eval model::  61%|██████    | 303/500 [00:17<00:11, 17.19it/s]
eval model::  61%|██████    | 305/500 [00:17<00:11, 17.05it/s]
eval model::  62%|██████▏   | 308/500 [00:17<00:10, 18.06it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:10, 18.36it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:10, 18.49it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:09, 18.73it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:09, 20.07it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:09, 19.62it/s]
eval model::  64%|██████▍   | 322/500 [00:18<00:10, 16.39it/s]
eval model::  65%|██████▌   | 325/500 [00:18<00:09, 19.34it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:08, 19.69it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 20.03it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:07, 21.45it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 21.52it/s]
eval model::  68%|██████▊   | 340/500 [00:19<00:10, 15.45it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:09, 16.73it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:08, 18.21it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 19.95it/s]
eval model::  70%|███████   | 352/500 [00:19<00:07, 20.10it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 19.54it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 19.41it/s]
eval model::  72%|███████▏  | 361/500 [00:20<00:07, 17.46it/s]
eval model::  73%|███████▎  | 363/500 [00:20<00:07, 17.80it/s]
eval model::  73%|███████▎  | 365/500 [00:20<00:08, 15.89it/s]
eval model::  73%|███████▎  | 367/500 [00:20<00:08, 15.01it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:07, 17.57it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 17.44it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 21.90it/s]
eval model::  76%|███████▌  | 380/500 [00:21<00:05, 22.98it/s]
eval model::  77%|███████▋  | 384/500 [00:21<00:04, 24.57it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:08, 14.04it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 16.44it/s]
eval model::  79%|███████▊  | 393/500 [00:22<00:06, 17.06it/s]
eval model::  79%|███████▉  | 396/500 [00:22<00:06, 16.84it/s]
eval model::  80%|███████▉  | 399/500 [00:22<00:05, 18.22it/s]
eval model::  80%|████████  | 402/500 [00:22<00:05, 16.78it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 16.84it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 19.06it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 21.41it/s]
eval model::  83%|████████▎ | 413/500 [00:23<00:04, 21.43it/s]
eval model::  83%|████████▎ | 416/500 [00:23<00:04, 19.99it/s]
eval model::  84%|████████▍ | 419/500 [00:23<00:04, 17.81it/s]
eval model::  84%|████████▍ | 421/500 [00:23<00:05, 13.19it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 13.64it/s]
eval model::  85%|████████▌ | 426/500 [00:24<00:05, 14.19it/s]
eval model::  86%|████████▌ | 428/500 [00:24<00:04, 15.30it/s]
eval model::  86%|████████▌ | 431/500 [00:24<00:04, 16.87it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 19.77it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 21.59it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:03, 17.53it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 18.95it/s]
eval model::  89%|████████▉ | 447/500 [00:25<00:02, 20.04it/s]
eval model::  90%|█████████ | 450/500 [00:25<00:02, 18.04it/s]
eval model::  91%|█████████ | 453/500 [00:25<00:02, 20.03it/s]
eval model::  91%|█████████ | 456/500 [00:25<00:02, 20.67it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 22.10it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:02, 16.72it/s]
eval model::  93%|█████████▎| 464/500 [00:26<00:02, 15.93it/s]
eval model::  93%|█████████▎| 466/500 [00:26<00:02, 14.82it/s]
eval model::  94%|█████████▎| 468/500 [00:26<00:02, 14.55it/s]
eval model::  94%|█████████▍| 471/500 [00:26<00:01, 17.36it/s]
eval model::  95%|█████████▍| 474/500 [00:26<00:01, 18.11it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:01, 21.70it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 23.24it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 24.41it/s]
eval model::  98%|█████████▊| 488/500 [00:27<00:00, 26.89it/s]
eval model::  98%|█████████▊| 491/500 [00:27<00:00, 26.78it/s]
eval model::  99%|█████████▉| 494/500 [00:27<00:00, 23.12it/s]
eval model::  99%|█████████▉| 497/500 [00:27<00:00, 23.92it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.17it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:36, 13.80it/s]
eval model::   1%|          | 5/500 [00:00<00:26, 18.91it/s]
eval model::   1%|▏         | 7/500 [00:00<00:26, 18.40it/s]
eval model::   2%|▏         | 10/500 [00:00<00:25, 19.57it/s]
eval model::   2%|▏         | 12/500 [00:00<00:28, 16.93it/s]
eval model::   3%|▎         | 14/500 [00:00<00:29, 16.24it/s]
eval model::   3%|▎         | 17/500 [00:00<00:25, 19.32it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.24it/s]
eval model::   5%|▍         | 23/500 [00:01<00:21, 22.31it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 21.18it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 22.21it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.02it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 18.98it/s]
eval model::   8%|▊         | 38/500 [00:01<00:23, 19.78it/s]
eval model::   8%|▊         | 41/500 [00:02<00:25, 18.17it/s]
eval model::   9%|▊         | 43/500 [00:02<00:28, 16.09it/s]
eval model::   9%|▉         | 46/500 [00:02<00:27, 16.42it/s]
eval model::  10%|▉         | 49/500 [00:02<00:24, 18.12it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 19.03it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 20.80it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.95it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 15.89it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.98it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 19.86it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.43it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 21.91it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:20, 21.05it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.80it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.45it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 22.55it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 20.60it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:21, 18.91it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 19.91it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:18, 21.28it/s]
eval model::  20%|██        | 100/500 [00:05<00:19, 20.98it/s]
eval model::  21%|██        | 103/500 [00:05<00:17, 22.43it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 23.06it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 21.97it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 20.27it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:19, 19.72it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:19, 19.99it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:21, 17.98it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:24, 15.63it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:21, 17.45it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:21, 17.00it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:22, 16.03it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:20, 18.16it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.13it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.88it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.75it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 18.66it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.44it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.63it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 21.45it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.82it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:21, 15.85it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:19, 17.34it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 17.58it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:17, 18.62it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:17, 18.48it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:22, 14.76it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:20, 15.45it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 17.97it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:19, 16.36it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 18.58it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:16, 18.89it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 19.38it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:15, 19.82it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:17, 17.65it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:15, 18.88it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 20.08it/s]
eval model::  41%|████      | 205/500 [00:11<00:23, 12.54it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:21, 13.87it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:20, 14.04it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.25it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.75it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.59it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 15.46it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.56it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 17.02it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 20.65it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.91it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 20.96it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 20.94it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:15, 16.41it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 18.63it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 19.78it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 19.72it/s]
eval model::  51%|█████     | 254/500 [00:13<00:12, 20.43it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.53it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 23.69it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:12, 18.26it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:13, 17.75it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:13, 17.21it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.55it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.89it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.07it/s]
eval model::  56%|█████▌    | 280/500 [00:15<00:12, 18.08it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:10, 19.81it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:19, 10.78it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:15, 13.39it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:13, 15.62it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:16, 12.78it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:13, 15.36it/s]
eval model::  60%|██████    | 301/500 [00:16<00:13, 14.98it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.88it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 17.68it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:09, 19.22it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:10, 18.40it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:10, 17.47it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:09, 18.90it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:10, 17.59it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:10, 17.60it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:10, 17.38it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:10, 16.62it/s]
eval model::  66%|██████▌   | 330/500 [00:18<00:09, 17.14it/s]
eval model::  66%|██████▋   | 332/500 [00:18<00:09, 17.08it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:08, 18.75it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:09, 18.03it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:11, 13.73it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:09, 16.24it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:08, 18.27it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:08, 18.78it/s]
eval model::  70%|███████   | 352/500 [00:19<00:07, 20.10it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 18.14it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:07, 18.28it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:06, 20.12it/s]
eval model::  73%|███████▎  | 363/500 [00:20<00:07, 19.11it/s]
eval model::  73%|███████▎  | 365/500 [00:20<00:07, 17.95it/s]
eval model::  73%|███████▎  | 367/500 [00:20<00:07, 17.76it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:06, 19.52it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:06, 20.32it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 20.85it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:05, 22.98it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:06, 19.41it/s]
eval model::  77%|███████▋  | 385/500 [00:21<00:05, 21.33it/s]
eval model::  78%|███████▊  | 388/500 [00:21<00:08, 13.67it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:06, 16.33it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 16.29it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 17.91it/s]
eval model::  80%|████████  | 400/500 [00:22<00:05, 17.21it/s]
eval model::  80%|████████  | 402/500 [00:22<00:05, 17.66it/s]
eval model::  81%|████████  | 405/500 [00:22<00:04, 19.17it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 19.70it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 21.58it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 22.48it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:03, 20.88it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:06, 12.15it/s]
eval model::  85%|████████▍ | 423/500 [00:23<00:05, 14.28it/s]
eval model::  85%|████████▌ | 425/500 [00:23<00:05, 13.78it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:04, 15.91it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 16.33it/s]
eval model::  87%|████████▋ | 434/500 [00:24<00:03, 18.94it/s]
eval model::  87%|████████▋ | 437/500 [00:24<00:03, 20.85it/s]
eval model::  88%|████████▊ | 440/500 [00:24<00:03, 18.98it/s]
eval model::  89%|████████▊ | 443/500 [00:24<00:02, 20.92it/s]
eval model::  89%|████████▉ | 446/500 [00:24<00:02, 20.57it/s]
eval model::  90%|████████▉ | 449/500 [00:24<00:02, 18.87it/s]
eval model::  90%|█████████ | 452/500 [00:24<00:02, 20.88it/s]
eval model::  91%|█████████ | 455/500 [00:25<00:02, 21.78it/s]
eval model::  92%|█████████▏| 458/500 [00:25<00:01, 22.82it/s]
eval model::  92%|█████████▏| 461/500 [00:25<00:01, 20.37it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 15.77it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 15.77it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:02, 15.71it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 18.06it/s]
eval model::  95%|█████████▍| 473/500 [00:26<00:01, 17.80it/s]
eval model::  95%|█████████▌| 475/500 [00:26<00:01, 17.66it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:01, 20.09it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 21.13it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 21.30it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 21.39it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 22.68it/s]
eval model::  99%|█████████▊| 493/500 [00:27<00:00, 20.20it/s]
eval model::  99%|█████████▉| 496/500 [00:27<00:00, 19.64it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 23.71it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.30it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.28it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.19it/s]
eval model::   1%|          | 6/500 [00:00<00:26, 18.92it/s]
eval model::   2%|▏         | 8/500 [00:00<00:30, 16.15it/s]
eval model::   2%|▏         | 11/500 [00:00<00:33, 14.79it/s]
eval model::   3%|▎         | 13/500 [00:00<00:30, 15.80it/s]
eval model::   3%|▎         | 15/500 [00:00<00:32, 15.04it/s]
eval model::   4%|▍         | 19/500 [00:01<00:25, 18.58it/s]
eval model::   4%|▍         | 21/500 [00:01<00:27, 17.46it/s]
eval model::   5%|▍         | 24/500 [00:01<00:25, 18.93it/s]
eval model::   5%|▌         | 26/500 [00:01<00:25, 18.28it/s]
eval model::   6%|▌         | 29/500 [00:01<00:24, 19.31it/s]
eval model::   6%|▌         | 31/500 [00:01<00:25, 18.55it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 17.96it/s]
eval model::   7%|▋         | 36/500 [00:02<00:25, 18.26it/s]
eval model::   8%|▊         | 38/500 [00:02<00:25, 18.23it/s]
eval model::   8%|▊         | 40/500 [00:02<00:27, 16.52it/s]
eval model::   8%|▊         | 42/500 [00:02<00:28, 16.07it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.87it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 16.79it/s]
eval model::  10%|█         | 50/500 [00:02<00:26, 17.25it/s]
eval model::  11%|█         | 53/500 [00:02<00:23, 19.42it/s]
eval model::  11%|█         | 56/500 [00:03<00:23, 18.89it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:25, 17.58it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:30, 14.24it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:32, 13.49it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:26, 16.11it/s]
eval model::  14%|█▍        | 70/500 [00:04<00:21, 20.05it/s]
eval model::  15%|█▍        | 73/500 [00:04<00:19, 22.05it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:20, 20.31it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.48it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.22it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 20.95it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:22, 17.93it/s]
eval model::  18%|█▊        | 90/500 [00:05<00:26, 15.30it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:24, 16.30it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:22, 17.92it/s]
eval model::  20%|██        | 100/500 [00:05<00:19, 20.42it/s]
eval model::  21%|██        | 103/500 [00:05<00:17, 22.20it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.15it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:16, 23.52it/s]
eval model::  22%|██▏       | 112/500 [00:06<00:17, 22.51it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:18, 21.00it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 20.95it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:17, 21.39it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 20.34it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:17, 20.97it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 19.46it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:19, 18.69it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 19.21it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 18.62it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:17, 20.81it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:15, 23.07it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:15, 22.20it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:16, 20.93it/s]
eval model::  30%|███       | 152/500 [00:08<00:18, 19.18it/s]
eval model::  31%|███       | 154/500 [00:08<00:18, 19.00it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 22.45it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:19, 17.44it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.64it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 18.92it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 18.90it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:17, 18.70it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.77it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.49it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.72it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:21, 14.89it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:20, 15.84it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:18, 17.22it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:18, 16.92it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:16, 18.56it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 20.45it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 21.18it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.18it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.09it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:24, 12.13it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:23, 12.52it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:22, 12.97it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:21, 13.63it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.79it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:23, 12.14it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:19, 14.47it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:21, 12.99it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:17, 15.43it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:15, 17.70it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 21.01it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 21.04it/s]
eval model::  48%|████▊     | 238/500 [00:13<00:11, 22.35it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:12, 20.63it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:14, 17.82it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:13, 19.14it/s]
eval model::  50%|█████     | 250/500 [00:13<00:13, 18.32it/s]
eval model::  51%|█████     | 253/500 [00:13<00:12, 20.42it/s]
eval model::  51%|█████     | 256/500 [00:14<00:12, 20.32it/s]
eval model::  52%|█████▏    | 259/500 [00:14<00:11, 20.70it/s]
eval model::  52%|█████▏    | 262/500 [00:14<00:10, 22.60it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:10, 21.64it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:10, 23.02it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:10, 22.68it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:09, 22.92it/s]
eval model::  55%|█████▌    | 277/500 [00:15<00:11, 18.64it/s]
eval model::  56%|█████▌    | 280/500 [00:15<00:11, 19.70it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:11, 19.31it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:17, 12.36it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:16, 13.21it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:13, 15.98it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:12, 16.05it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 13.14it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:14, 14.20it/s]
eval model::  60%|██████    | 300/500 [00:16<00:14, 14.17it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 15.26it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 16.17it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 19.22it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:09, 20.98it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:09, 19.49it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 19.94it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 21.39it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 19.56it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.97it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:08, 20.03it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:07, 21.19it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:07, 23.01it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 20.77it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.79it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 17.20it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 18.57it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:08, 18.74it/s]
eval model::  70%|███████   | 351/500 [00:19<00:07, 18.95it/s]
eval model::  71%|███████   | 354/500 [00:19<00:07, 20.51it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:07, 18.61it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:07, 18.41it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:08, 16.70it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:08, 16.13it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:08, 16.62it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:06, 18.74it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:06, 18.71it/s]
eval model::  75%|███████▍  | 374/500 [00:20<00:06, 20.84it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:04, 24.53it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 20.83it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 20.41it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:09, 12.17it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:08, 13.26it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:07, 14.08it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:07, 15.18it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 17.66it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.58it/s]
eval model::  80%|████████  | 402/500 [00:22<00:05, 18.01it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 17.49it/s]
eval model::  81%|████████  | 406/500 [00:22<00:05, 17.11it/s]
eval model::  82%|████████▏ | 409/500 [00:22<00:04, 18.49it/s]
eval model::  82%|████████▏ | 412/500 [00:22<00:04, 20.39it/s]
eval model::  83%|████████▎ | 415/500 [00:22<00:04, 20.88it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 19.86it/s]
eval model::  84%|████████▍ | 421/500 [00:23<00:05, 13.93it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.39it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 15.15it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 18.03it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 17.92it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 19.18it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 20.89it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:03, 19.56it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 20.57it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 19.42it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 17.47it/s]
eval model::  91%|█████████ | 453/500 [00:25<00:02, 18.05it/s]
eval model::  91%|█████████ | 456/500 [00:25<00:02, 18.90it/s]
eval model::  92%|█████████▏| 458/500 [00:25<00:02, 18.64it/s]
eval model::  92%|█████████▏| 460/500 [00:25<00:02, 18.72it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:02, 15.64it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 15.63it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 14.73it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:02, 15.53it/s]
eval model::  94%|█████████▍| 471/500 [00:26<00:01, 18.51it/s]
eval model::  95%|█████████▍| 474/500 [00:26<00:01, 18.26it/s]
eval model::  95%|█████████▌| 477/500 [00:26<00:01, 20.89it/s]
eval model::  96%|█████████▌| 480/500 [00:26<00:00, 22.21it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 22.68it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 22.23it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 22.61it/s]
eval model::  98%|█████████▊| 492/500 [00:27<00:00, 19.76it/s]
eval model::  99%|█████████▉| 495/500 [00:27<00:00, 21.17it/s]
eval model:: 100%|█████████▉| 499/500 [00:27<00:00, 24.85it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.31it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:54,  9.21it/s]
eval model::   1%|          | 4/500 [00:00<00:25, 19.12it/s]
eval model::   1%|▏         | 7/500 [00:00<00:23, 20.79it/s]
eval model::   2%|▏         | 10/500 [00:00<00:23, 20.59it/s]
eval model::   3%|▎         | 13/500 [00:00<00:23, 20.94it/s]
eval model::   3%|▎         | 16/500 [00:00<00:22, 21.59it/s]
eval model::   4%|▍         | 19/500 [00:00<00:25, 18.72it/s]
eval model::   4%|▍         | 22/500 [00:01<00:24, 19.90it/s]
eval model::   5%|▌         | 25/500 [00:01<00:23, 19.79it/s]
eval model::   6%|▌         | 28/500 [00:01<00:22, 21.14it/s]
eval model::   6%|▌         | 31/500 [00:01<00:24, 19.47it/s]
eval model::   7%|▋         | 34/500 [00:01<00:23, 20.01it/s]
eval model::   7%|▋         | 37/500 [00:01<00:21, 21.38it/s]
eval model::   8%|▊         | 40/500 [00:01<00:23, 19.96it/s]
eval model::   9%|▊         | 43/500 [00:02<00:22, 20.33it/s]
eval model::   9%|▉         | 46/500 [00:02<00:23, 19.72it/s]
eval model::  10%|▉         | 49/500 [00:02<00:21, 20.95it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 21.30it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.77it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:21, 20.99it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:23, 18.69it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:23, 18.73it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:20, 20.98it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 20.79it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:22, 19.09it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:22, 18.84it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:22, 18.57it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:22, 18.47it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:23, 17.93it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:24, 17.18it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:22, 18.74it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.56it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 18.58it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.16it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:21, 19.29it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:20, 19.75it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.37it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.20it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.00it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 21.25it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 20.21it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 20.35it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:17, 21.36it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:18, 20.90it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 20.32it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:17, 20.77it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:20, 18.34it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 18.64it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 20.05it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:16, 21.90it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 21.04it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:15, 22.62it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 20.46it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.74it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 20.90it/s]
eval model::  31%|███       | 156/500 [00:07<00:18, 18.68it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:16, 20.45it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:18, 18.13it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:17, 19.11it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:16, 19.91it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:16, 19.98it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:18, 17.96it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:18, 17.69it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 20.05it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:15, 21.18it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:14, 22.17it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:14, 22.07it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:14, 21.44it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:13, 21.95it/s]
eval model::  39%|███▉      | 197/500 [00:09<00:15, 19.56it/s]
eval model::  40%|████      | 200/500 [00:09<00:14, 21.28it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 21.77it/s]
eval model::  41%|████      | 206/500 [00:10<00:17, 16.84it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 15.80it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:18, 16.03it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:16, 17.14it/s]
eval model::  43%|████▎     | 216/500 [00:10<00:15, 18.31it/s]
eval model::  44%|████▎     | 218/500 [00:11<00:16, 17.37it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:16, 16.72it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:14, 18.94it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:14, 18.86it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:12, 22.43it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:11, 23.84it/s]
eval model::  47%|████▋     | 236/500 [00:11<00:13, 19.79it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:13, 19.32it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:14, 18.03it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:13, 18.93it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:12, 19.54it/s]
eval model::  50%|█████     | 251/500 [00:12<00:12, 19.98it/s]
eval model::  51%|█████     | 254/500 [00:12<00:11, 21.46it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 20.41it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:12, 18.83it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 20.99it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:11, 21.08it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:11, 20.53it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:11, 19.67it/s]
eval model::  55%|█████▌    | 275/500 [00:13<00:11, 19.52it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.82it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 19.98it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 20.17it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:12, 17.15it/s]
eval model::  58%|█████▊    | 290/500 [00:14<00:11, 19.03it/s]
eval model::  59%|█████▊    | 293/500 [00:14<00:11, 18.36it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:12, 16.76it/s]
eval model::  60%|█████▉    | 298/500 [00:15<00:10, 18.92it/s]
eval model::  60%|██████    | 300/500 [00:15<00:10, 18.43it/s]
eval model::  60%|██████    | 302/500 [00:15<00:10, 18.51it/s]
eval model::  61%|██████    | 305/500 [00:15<00:09, 19.84it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:09, 20.63it/s]
eval model::  62%|██████▏   | 311/500 [00:15<00:09, 20.18it/s]
eval model::  63%|██████▎   | 314/500 [00:15<00:09, 20.05it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 20.42it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:09, 19.14it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:09, 18.56it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:09, 18.13it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:09, 18.67it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:10, 16.97it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:09, 17.36it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:09, 17.98it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:08, 19.55it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 19.23it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:11, 14.43it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:09, 16.86it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 19.68it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:06, 21.58it/s]
eval model::  70%|███████   | 352/500 [00:17<00:06, 21.66it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 20.44it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:07, 20.06it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:07, 19.80it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 18.46it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:06, 19.70it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 21.48it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:05, 22.07it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 21.31it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:06, 19.51it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 20.46it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 19.32it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:07, 16.06it/s]
eval model::  78%|███████▊  | 389/500 [00:19<00:06, 16.69it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 16.42it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 18.49it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:04, 20.68it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 18.49it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 20.51it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 20.12it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:04, 21.43it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:04, 21.21it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 20.02it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 19.48it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 17.47it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 18.00it/s]
eval model::  85%|████████▌ | 425/500 [00:21<00:03, 19.32it/s]
eval model::  86%|████████▌ | 428/500 [00:21<00:03, 21.13it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 21.19it/s]
eval model::  87%|████████▋ | 434/500 [00:22<00:03, 19.34it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:03, 19.02it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:03, 18.75it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:03, 17.76it/s]
eval model::  89%|████████▊ | 443/500 [00:22<00:02, 19.49it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 19.45it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 19.21it/s]
eval model::  90%|████████▉ | 449/500 [00:23<00:03, 16.63it/s]
eval model::  90%|█████████ | 452/500 [00:23<00:02, 18.73it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:02, 21.34it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:01, 21.05it/s]
eval model::  92%|█████████▏| 461/500 [00:23<00:01, 19.97it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:01, 18.99it/s]
eval model::  93%|█████████▎| 467/500 [00:23<00:01, 20.95it/s]
eval model::  94%|█████████▍| 470/500 [00:24<00:01, 19.42it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 19.22it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 19.34it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 19.09it/s]
eval model::  96%|█████████▌| 479/500 [00:24<00:01, 19.01it/s]
eval model::  96%|█████████▋| 482/500 [00:24<00:00, 19.79it/s]
eval model::  97%|█████████▋| 485/500 [00:24<00:00, 20.62it/s]
eval model::  98%|█████████▊| 488/500 [00:24<00:00, 20.04it/s]
eval model::  98%|█████████▊| 491/500 [00:25<00:00, 21.60it/s]
eval model::  99%|█████████▉| 494/500 [00:25<00:00, 19.71it/s]
eval model::  99%|█████████▉| 497/500 [00:25<00:00, 20.33it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 20.97it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.58it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:56,  8.76it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 18.48it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.33it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 18.09it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 19.06it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 19.89it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.07it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 19.20it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.29it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.29it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 20.40it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 19.96it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 19.54it/s]
eval model::   8%|▊         | 38/500 [00:01<00:23, 19.94it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.87it/s]
eval model::   9%|▉         | 44/500 [00:02<00:23, 19.74it/s]
eval model::   9%|▉         | 46/500 [00:02<00:23, 19.67it/s]
eval model::  10%|▉         | 49/500 [00:02<00:20, 21.54it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 21.19it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 20.84it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:23, 18.86it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.69it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:25, 16.81it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:22, 18.95it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 22.37it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 21.87it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:18, 23.04it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:18, 23.02it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.56it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 21.88it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.51it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:21, 18.86it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 19.95it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:19, 20.30it/s]
eval model::  20%|██        | 100/500 [00:04<00:19, 20.40it/s]
eval model::  21%|██        | 103/500 [00:05<00:18, 21.42it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 23.09it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:16, 24.29it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 21.11it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 20.87it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:17, 22.21it/s]
eval model::  24%|██▍       | 121/500 [00:05<00:18, 21.01it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 18.90it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 20.53it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:18, 19.52it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:17, 21.14it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:16, 21.47it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:16, 21.38it/s]
eval model::  28%|██▊       | 142/500 [00:06<00:16, 21.47it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.07it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:18, 19.12it/s]
eval model::  30%|███       | 151/500 [00:07<00:17, 19.50it/s]
eval model::  31%|███       | 155/500 [00:07<00:15, 22.00it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:15, 22.02it/s]
eval model::  32%|███▏      | 161/500 [00:07<00:18, 18.16it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:16, 19.85it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 20.64it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:14, 22.16it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:15, 21.24it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:16, 19.94it/s]
eval model::  36%|███▌      | 179/500 [00:08<00:16, 19.94it/s]
eval model::  36%|███▋      | 182/500 [00:08<00:16, 19.25it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:14, 21.30it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:14, 21.10it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:14, 21.58it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:13, 23.29it/s]
eval model::  39%|███▉      | 197/500 [00:09<00:13, 21.67it/s]
eval model::  40%|████      | 200/500 [00:09<00:13, 22.01it/s]
eval model::  41%|████      | 203/500 [00:09<00:14, 20.42it/s]
eval model::  41%|████      | 206/500 [00:10<00:21, 13.82it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:21, 13.44it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:21, 13.64it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:19, 14.95it/s]
eval model::  43%|████▎     | 215/500 [00:10<00:20, 14.04it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.38it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.21it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 15.79it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:13, 20.06it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:11, 22.66it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:12, 21.94it/s]
eval model::  47%|████▋     | 236/500 [00:11<00:12, 20.58it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 23.29it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:12, 20.47it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:11, 22.25it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:11, 22.21it/s]
eval model::  50%|█████     | 252/500 [00:12<00:10, 23.22it/s]
eval model::  51%|█████     | 255/500 [00:12<00:10, 23.41it/s]
eval model::  52%|█████▏    | 258/500 [00:12<00:11, 21.84it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 21.91it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 20.16it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 19.44it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:12, 18.47it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:12, 18.92it/s]
eval model::  55%|█████▌    | 275/500 [00:13<00:12, 17.40it/s]
eval model::  56%|█████▌    | 278/500 [00:13<00:11, 19.07it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.44it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 21.17it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:16, 12.78it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:12, 16.26it/s]
eval model::  59%|█████▉    | 294/500 [00:14<00:12, 16.96it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:13, 15.01it/s]
eval model::  60%|██████    | 300/500 [00:15<00:12, 15.67it/s]
eval model::  61%|██████    | 304/500 [00:15<00:11, 17.78it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:10, 19.07it/s]
eval model::  62%|██████▏   | 310/500 [00:15<00:09, 20.70it/s]
eval model::  63%|██████▎   | 313/500 [00:15<00:08, 22.68it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:07, 23.24it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:07, 24.60it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:07, 23.82it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:07, 24.73it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:07, 23.72it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:07, 23.42it/s]
eval model::  67%|██████▋   | 334/500 [00:16<00:06, 23.91it/s]
eval model::  67%|██████▋   | 337/500 [00:16<00:07, 20.83it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:10, 15.41it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:09, 16.11it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:08, 18.25it/s]
eval model::  70%|██████▉   | 348/500 [00:17<00:07, 19.86it/s]
eval model::  70%|███████   | 351/500 [00:17<00:06, 21.82it/s]
eval model::  71%|███████   | 354/500 [00:17<00:06, 23.79it/s]
eval model::  71%|███████▏  | 357/500 [00:17<00:06, 21.82it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:06, 22.19it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:06, 20.84it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 18.87it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 19.99it/s]
eval model::  74%|███████▍  | 372/500 [00:18<00:06, 20.37it/s]
eval model::  75%|███████▌  | 375/500 [00:18<00:05, 22.33it/s]
eval model::  76%|███████▌  | 378/500 [00:18<00:05, 22.54it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 21.05it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 22.00it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:08, 13.21it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:07, 15.66it/s]
eval model::  79%|███████▊  | 393/500 [00:19<00:06, 17.29it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 18.78it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:05, 20.09it/s]
eval model::  80%|████████  | 402/500 [00:20<00:05, 19.49it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 20.47it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:04, 21.76it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:03, 23.00it/s]
eval model::  83%|████████▎ | 414/500 [00:20<00:03, 24.14it/s]
eval model::  83%|████████▎ | 417/500 [00:20<00:03, 21.77it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:05, 15.58it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:04, 16.91it/s]
eval model::  85%|████████▌ | 425/500 [00:21<00:04, 16.27it/s]
eval model::  86%|████████▌ | 428/500 [00:21<00:03, 18.34it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 18.30it/s]
eval model::  87%|████████▋ | 435/500 [00:21<00:02, 22.26it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:02, 23.62it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:02, 23.23it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 25.42it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 23.37it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 22.33it/s]
eval model::  91%|█████████ | 454/500 [00:22<00:01, 24.10it/s]
eval model::  91%|█████████▏| 457/500 [00:22<00:01, 24.55it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 21.82it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 19.63it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:01, 19.39it/s]
eval model::  94%|█████████▍| 469/500 [00:23<00:01, 20.36it/s]
eval model::  94%|█████████▍| 472/500 [00:23<00:01, 20.59it/s]
eval model::  95%|█████████▌| 475/500 [00:23<00:01, 20.44it/s]
eval model::  96%|█████████▌| 478/500 [00:23<00:01, 21.73it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 21.38it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 20.99it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 20.43it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 20.72it/s]
eval model::  99%|█████████▊| 493/500 [00:24<00:00, 18.61it/s]
eval model::  99%|█████████▉| 496/500 [00:24<00:00, 19.31it/s]
eval model:: 100%|█████████▉| 499/500 [00:24<00:00, 21.28it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.97it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:58,  8.57it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.37it/s]
eval model::   1%|▏         | 7/500 [00:00<00:24, 20.51it/s]
eval model::   2%|▏         | 10/500 [00:00<00:24, 19.81it/s]
eval model::   2%|▏         | 12/500 [00:00<00:27, 17.61it/s]
eval model::   3%|▎         | 14/500 [00:00<00:28, 17.09it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.42it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.73it/s]
eval model::   5%|▍         | 23/500 [00:01<00:21, 22.24it/s]
eval model::   5%|▌         | 26/500 [00:01<00:21, 21.89it/s]
eval model::   6%|▌         | 30/500 [00:01<00:18, 25.13it/s]
eval model::   7%|▋         | 33/500 [00:01<00:19, 23.53it/s]
eval model::   7%|▋         | 36/500 [00:01<00:20, 22.64it/s]
eval model::   8%|▊         | 39/500 [00:01<00:23, 20.01it/s]
eval model::   8%|▊         | 42/500 [00:02<00:23, 19.43it/s]
eval model::   9%|▉         | 45/500 [00:02<00:21, 21.17it/s]
eval model::  10%|▉         | 48/500 [00:02<00:22, 19.75it/s]
eval model::  10%|█         | 51/500 [00:02<00:21, 21.03it/s]
eval model::  11%|█         | 54/500 [00:02<00:22, 19.91it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:23, 19.23it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:23, 18.59it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:31, 13.99it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:31, 14.05it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 17.18it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.13it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 22.36it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:18, 23.33it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:19, 21.37it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:20, 20.54it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 19.90it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:22, 18.08it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.12it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.14it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:19, 20.46it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:18, 21.98it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.70it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 22.81it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:16, 23.23it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:17, 21.75it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 22.43it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 20.42it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:20, 18.34it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.01it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:22, 16.68it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 18.63it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.06it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:19, 18.83it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:19, 18.88it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.58it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 19.93it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.40it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 20.71it/s]
eval model::  31%|███       | 153/500 [00:07<00:18, 19.11it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 21.24it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:15, 21.68it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:21, 16.09it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:18, 17.66it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:19, 17.04it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.66it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:18, 17.89it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:16, 19.75it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:18, 17.65it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.33it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.61it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:16, 18.84it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 20.03it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:14, 20.36it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 21.18it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 21.36it/s]
eval model::  41%|████      | 204/500 [00:10<00:12, 22.79it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:18, 15.91it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:18, 15.73it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:18, 15.35it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.75it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.44it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.43it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.09it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 15.28it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:15, 17.98it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:13, 19.63it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 20.75it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:13, 20.13it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 20.61it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:12, 21.11it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:13, 19.24it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:12, 20.07it/s]
eval model::  50%|█████     | 250/500 [00:13<00:12, 19.43it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 21.34it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 21.89it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:10, 23.71it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:10, 22.65it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:10, 21.60it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:10, 22.19it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:11, 20.29it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:11, 19.92it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 18.10it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 17.82it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.20it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:17, 12.57it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:14, 14.85it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 17.18it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.47it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:14, 14.29it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:12, 16.70it/s]
eval model::  60%|██████    | 301/500 [00:15<00:12, 15.60it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.52it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.33it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:10, 18.23it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:09, 19.15it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 18.93it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:10, 18.37it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 20.90it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:09, 18.04it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:09, 18.12it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:08, 20.27it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:09, 18.76it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:09, 18.51it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 21.24it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:07, 20.59it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:10, 15.90it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:08, 17.86it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 18.13it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 20.23it/s]
eval model::  71%|███████   | 353/500 [00:18<00:07, 20.87it/s]
eval model::  71%|███████   | 356/500 [00:18<00:07, 19.37it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:07, 19.38it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 18.09it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.99it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.58it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.09it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:07, 17.90it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:06, 19.39it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 21.66it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:06, 19.60it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 22.93it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:07, 14.29it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 16.25it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:06, 17.42it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 17.72it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 18.64it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 19.09it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.59it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 21.77it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 22.07it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:04, 21.35it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 20.73it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:04, 16.26it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 16.41it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 16.04it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.24it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 18.83it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 18.73it/s]
eval model::  87%|████████▋ | 434/500 [00:22<00:03, 21.57it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:02, 22.68it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:02, 22.14it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 24.39it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 23.60it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 21.13it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 21.60it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:01, 22.02it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 21.14it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:01, 19.17it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:01, 18.27it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 18.36it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 18.69it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 20.57it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 20.54it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 22.50it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:01, 19.77it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 20.97it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 19.53it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 20.74it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 19.10it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 19.96it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 21.92it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.19it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:49,  9.99it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.40it/s]
eval model::   1%|          | 6/500 [00:00<00:29, 16.98it/s]
eval model::   2%|▏         | 8/500 [00:00<00:29, 16.50it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 17.41it/s]
eval model::   3%|▎         | 14/500 [00:00<00:28, 17.15it/s]
eval model::   3%|▎         | 17/500 [00:00<00:26, 18.57it/s]
eval model::   4%|▍         | 20/500 [00:01<00:26, 18.40it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 19.99it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 20.77it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 21.35it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.09it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 18.82it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.14it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 18.34it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.89it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.34it/s]
eval model::   9%|▉         | 47/500 [00:02<00:24, 18.29it/s]
eval model::  10%|▉         | 49/500 [00:02<00:24, 18.49it/s]
eval model::  10%|█         | 51/500 [00:02<00:25, 17.67it/s]
eval model::  11%|█         | 54/500 [00:02<00:23, 18.86it/s]
eval model::  11%|█         | 56/500 [00:03<00:23, 19.07it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 19.06it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 15.85it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.56it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.45it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 20.59it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:19, 22.43it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 22.28it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.17it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 23.17it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.83it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.29it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.53it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:22, 17.88it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:20, 19.43it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:18, 21.46it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.79it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 22.00it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 20.87it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 19.77it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 21.22it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:19, 20.00it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.05it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 19.99it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.79it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 18.89it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 17.74it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:19, 19.09it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 18.86it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:18, 19.56it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:16, 21.09it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 20.46it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:17, 20.49it/s]
eval model::  30%|███       | 152/500 [00:07<00:17, 19.61it/s]
eval model::  31%|███       | 155/500 [00:07<00:16, 21.30it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 22.28it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:21, 16.09it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.44it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:18, 18.15it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:19, 17.21it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:19, 17.02it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:21, 14.99it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:20, 15.89it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.47it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 17.28it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 19.24it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 20.38it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 20.15it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:14, 21.10it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:14, 20.59it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:13, 22.46it/s]
eval model::  40%|████      | 202/500 [00:10<00:12, 23.17it/s]
eval model::  41%|████      | 205/500 [00:10<00:20, 14.17it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:19, 14.76it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.59it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.93it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.50it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.57it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 15.73it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.50it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:17, 15.47it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:17, 15.35it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:15, 17.98it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:13, 19.71it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 20.58it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 21.36it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:13, 18.90it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 19.15it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.77it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 20.97it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 22.32it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:10, 23.40it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 23.39it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:11, 21.16it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:10, 21.26it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 20.57it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:10, 21.80it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 19.32it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.95it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:09, 22.91it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:15, 13.71it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:13, 15.96it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.16it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 15.86it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:15, 13.45it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 15.82it/s]
eval model::  60%|██████    | 301/500 [00:16<00:13, 14.25it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.68it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.06it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:10, 18.17it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:10, 18.55it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 19.24it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 18.91it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:09, 18.91it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:09, 19.16it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:10, 17.27it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 19.54it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:09, 18.57it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.14it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 22.24it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 20.65it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:11, 14.27it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 15.94it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.43it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.37it/s]
eval model::  70%|███████   | 352/500 [00:18<00:06, 21.53it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.58it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 20.26it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 19.49it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.85it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.69it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:07, 18.01it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 17.93it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 18.83it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 21.20it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 20.15it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 22.21it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:08, 13.32it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:07, 15.32it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 15.93it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 16.41it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:06, 17.01it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 17.88it/s]
eval model::  80%|████████  | 401/500 [00:21<00:06, 16.49it/s]
eval model::  81%|████████  | 404/500 [00:21<00:05, 17.17it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:05, 17.99it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 19.95it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 20.04it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 19.64it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 19.27it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:04, 15.96it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 17.71it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 16.97it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:03, 19.09it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 19.29it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 19.72it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:03, 19.84it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:03, 19.43it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 22.12it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 22.22it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 20.05it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 20.60it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:02, 21.74it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 22.93it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 17.45it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 16.38it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 15.62it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:02, 15.97it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 17.76it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 18.19it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 19.65it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:00, 21.26it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 20.81it/s]
eval model::  97%|█████████▋| 485/500 [00:26<00:00, 22.54it/s]
eval model::  98%|█████████▊| 488/500 [00:26<00:00, 21.38it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 21.73it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 20.25it/s]
eval model::  99%|█████████▉| 497/500 [00:26<00:00, 21.00it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.73it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:57,  8.72it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.34it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.20it/s]
eval model::   2%|▏         | 8/500 [00:00<00:31, 15.73it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.86it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.06it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.72it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.90it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 20.83it/s]
eval model::   5%|▌         | 26/500 [00:01<00:25, 18.69it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 19.92it/s]
eval model::   6%|▋         | 32/500 [00:01<00:26, 17.52it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.03it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.37it/s]
eval model::   8%|▊         | 40/500 [00:02<00:23, 19.38it/s]
eval model::   9%|▊         | 43/500 [00:02<00:24, 18.74it/s]
eval model::   9%|▉         | 46/500 [00:02<00:25, 18.13it/s]
eval model::  10%|▉         | 49/500 [00:02<00:22, 19.66it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 20.94it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.40it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:22, 19.39it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.41it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.66it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.13it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 19.61it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:19, 21.44it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 21.60it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:18, 23.04it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:16, 25.11it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 22.15it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.49it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 17.87it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:23, 17.63it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:21, 19.13it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.77it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.35it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.83it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.12it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 21.35it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 20.72it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:19, 19.25it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:21, 17.52it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:19, 19.22it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:23, 16.00it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:21, 17.66it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:22, 16.37it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:22, 16.10it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:20, 17.96it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.64it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.84it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.36it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:18, 19.32it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 19.12it/s]
eval model::  30%|███       | 152/500 [00:07<00:19, 18.31it/s]
eval model::  31%|███       | 155/500 [00:08<00:16, 20.59it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 21.52it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.76it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 18.20it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 19.05it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 20.76it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:15, 21.00it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:17, 18.72it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:15, 20.28it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:16, 18.86it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:15, 20.88it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:15, 19.96it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:15, 20.27it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:13, 22.22it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:14, 20.25it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 21.31it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 20.75it/s]
eval model::  41%|████      | 206/500 [00:10<00:18, 15.52it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:19, 15.25it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 15.30it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.05it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.67it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.36it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.74it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 15.46it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:15, 17.98it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:13, 20.47it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 22.28it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 21.89it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 22.49it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:12, 21.57it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:13, 18.56it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:12, 19.52it/s]
eval model::  50%|█████     | 250/500 [00:13<00:12, 19.50it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 21.49it/s]
eval model::  51%|█████     | 256/500 [00:13<00:10, 22.26it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:10, 23.80it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:09, 24.94it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:09, 24.78it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:10, 22.69it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:10, 21.19it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:10, 21.37it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:11, 19.03it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 17.22it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:12, 17.34it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:18, 11.38it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:15, 13.82it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.81it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:14, 14.42it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 17.64it/s]
eval model::  60%|██████    | 302/500 [00:15<00:11, 17.39it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.65it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.92it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:10, 18.02it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 19.99it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:08, 20.50it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 21.14it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:09, 18.87it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.43it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:09, 19.06it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 19.20it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:08, 20.49it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 21.57it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:08, 19.13it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:10, 14.68it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:09, 16.79it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 17.05it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 19.51it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 21.43it/s]
eval model::  71%|███████   | 356/500 [00:18<00:07, 19.98it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 21.36it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 19.56it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:07, 19.09it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.84it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 19.98it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 20.88it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 22.31it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 24.17it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 20.91it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:05, 21.91it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:08, 13.92it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 16.40it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 17.46it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 19.11it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 19.75it/s]
eval model::  81%|████████  | 403/500 [00:21<00:04, 20.84it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 21.78it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 22.25it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:03, 23.13it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 20.45it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 18.09it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 13.63it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 14.28it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 13.94it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:05, 14.53it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:04, 17.19it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 17.60it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:03, 21.23it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 22.97it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 21.18it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 22.16it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 22.30it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 18.70it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 20.28it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 20.34it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:02, 19.98it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 16.42it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:02, 16.26it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:02, 15.83it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 17.71it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 19.18it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 18.03it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 19.58it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:01, 19.22it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 19.11it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 19.66it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 18.68it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 21.29it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 18.58it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 20.42it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 22.54it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.01it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:56,  8.87it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.93it/s]
eval model::   1%|▏         | 7/500 [00:00<00:26, 18.88it/s]
eval model::   2%|▏         | 9/500 [00:00<00:26, 18.21it/s]
eval model::   2%|▏         | 11/500 [00:00<00:30, 16.05it/s]
eval model::   3%|▎         | 13/500 [00:00<00:29, 16.77it/s]
eval model::   3%|▎         | 15/500 [00:00<00:28, 17.17it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.15it/s]
eval model::   4%|▍         | 21/500 [00:01<00:26, 18.09it/s]
eval model::   5%|▍         | 24/500 [00:01<00:24, 19.80it/s]
eval model::   5%|▌         | 27/500 [00:01<00:23, 20.07it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 21.93it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 19.79it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 19.55it/s]
eval model::   8%|▊         | 39/500 [00:02<00:23, 19.34it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.46it/s]
eval model::   9%|▊         | 43/500 [00:02<00:27, 16.33it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 17.08it/s]
eval model::  10%|▉         | 49/500 [00:02<00:24, 18.77it/s]
eval model::  10%|█         | 51/500 [00:02<00:23, 18.77it/s]
eval model::  11%|█         | 54/500 [00:02<00:22, 20.26it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:20, 21.13it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:21, 20.54it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.81it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.44it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.46it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 20.24it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 19.59it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.47it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.58it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.37it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.31it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:23, 17.59it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:23, 17.42it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:23, 17.12it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:23, 17.21it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:21, 18.79it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.41it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.51it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.63it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.26it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 21.03it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:17, 21.49it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:17, 22.37it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:17, 21.10it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.72it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:19, 19.25it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 18.56it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 16.78it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 19.07it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 19.07it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.26it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:19, 18.63it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.87it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 17.70it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 19.28it/s]
eval model::  31%|███       | 153/500 [00:08<00:18, 18.52it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 20.50it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 20.10it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:20, 16.15it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:19, 17.34it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:19, 17.13it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:17, 19.15it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:18, 18.11it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:19, 16.48it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:17, 18.76it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:20, 15.87it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:18, 17.53it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 18.98it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 18.52it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:15, 20.03it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 21.42it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.75it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.48it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.85it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:21, 13.64it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:22, 13.19it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:23, 12.56it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:20, 13.76it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:24, 11.80it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:24, 11.57it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:21, 13.00it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:22, 12.38it/s]
eval model::  45%|████▍     | 223/500 [00:12<00:20, 13.55it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:17, 15.58it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 18.39it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.26it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 20.23it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:12, 21.45it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 18.14it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 19.58it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.55it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 20.35it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 20.82it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.11it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:10, 22.86it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:11, 20.63it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:10, 21.51it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 19.26it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 19.71it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:12, 18.06it/s]
eval model::  56%|█████▌    | 279/500 [00:15<00:11, 19.18it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:11, 19.77it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:18, 11.32it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:15, 13.39it/s]
eval model::  58%|█████▊    | 292/500 [00:16<00:12, 16.28it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:15, 13.43it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:13, 15.38it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 15.22it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 17.28it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 16.83it/s]
eval model::  62%|██████▏   | 308/500 [00:17<00:10, 17.72it/s]
eval model::  62%|██████▏   | 311/500 [00:17<00:10, 18.75it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:09, 19.98it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:08, 21.15it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 21.57it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:09, 18.90it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:09, 19.32it/s]
eval model::  66%|██████▌   | 329/500 [00:18<00:09, 18.32it/s]
eval model::  66%|██████▋   | 332/500 [00:18<00:08, 19.98it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:07, 21.77it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 18.58it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:10, 14.73it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:09, 16.65it/s]
eval model::  69%|██████▉   | 347/500 [00:19<00:08, 17.41it/s]
eval model::  70%|███████   | 350/500 [00:19<00:07, 19.62it/s]
eval model::  71%|███████   | 353/500 [00:19<00:06, 21.79it/s]
eval model::  71%|███████   | 356/500 [00:19<00:07, 18.47it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:07, 19.84it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:08, 16.98it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:08, 16.57it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:08, 16.70it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:07, 17.99it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:07, 18.08it/s]
eval model::  75%|███████▍  | 374/500 [00:20<00:06, 20.00it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 24.19it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 21.10it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:04, 24.20it/s]
eval model::  78%|███████▊  | 388/500 [00:21<00:08, 13.91it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:07, 14.71it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:07, 15.29it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 15.57it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 18.35it/s]
eval model::  80%|████████  | 400/500 [00:22<00:05, 18.04it/s]
eval model::  80%|████████  | 402/500 [00:22<00:05, 18.44it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 18.79it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 19.28it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 20.26it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 19.38it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 20.22it/s]
eval model::  84%|████████▍ | 419/500 [00:23<00:04, 18.50it/s]
eval model::  84%|████████▍ | 421/500 [00:23<00:05, 15.15it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:04, 15.96it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 16.60it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:04, 16.85it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 17.00it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 18.57it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 21.96it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:02, 21.51it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 22.19it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 23.99it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 21.12it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 22.13it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 23.66it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 21.72it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:02, 16.42it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 16.06it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 16.26it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 16.84it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 18.95it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 18.13it/s]
eval model::  95%|█████████▌| 477/500 [00:26<00:01, 19.55it/s]
eval model::  96%|█████████▌| 480/500 [00:26<00:01, 19.76it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 20.31it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 19.91it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 22.88it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 22.08it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 23.29it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.51it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:06,  7.52it/s]
eval model::   1%|          | 4/500 [00:00<00:30, 16.24it/s]
eval model::   1%|          | 6/500 [00:00<00:31, 15.55it/s]
eval model::   2%|▏         | 8/500 [00:00<00:29, 16.91it/s]
eval model::   2%|▏         | 10/500 [00:00<00:27, 17.59it/s]
eval model::   2%|▏         | 12/500 [00:00<00:30, 16.23it/s]
eval model::   3%|▎         | 14/500 [00:00<00:29, 16.62it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.78it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.10it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 19.99it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 19.40it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.53it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 20.21it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 19.59it/s]
eval model::   8%|▊         | 38/500 [00:02<00:23, 19.34it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 17.86it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.02it/s]
eval model::   9%|▉         | 45/500 [00:02<00:25, 18.13it/s]
eval model::   9%|▉         | 47/500 [00:02<00:27, 16.19it/s]
eval model::  10%|█         | 50/500 [00:02<00:25, 17.55it/s]
eval model::  11%|█         | 53/500 [00:02<00:23, 19.32it/s]
eval model::  11%|█         | 55/500 [00:02<00:22, 19.38it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.64it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:28, 15.30it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.11it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.85it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.47it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:22, 19.44it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 19.70it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:21, 19.40it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.12it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.71it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.64it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.05it/s]
eval model::  18%|█▊        | 92/500 [00:05<00:22, 17.97it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:21, 18.75it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:20, 19.40it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.84it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.22it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.80it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.62it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 20.82it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:19, 19.50it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 21.00it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.45it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.38it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 19.87it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 19.04it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:20, 17.53it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.22it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 18.88it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.14it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.47it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 19.85it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.28it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.81it/s]
eval model::  30%|███       | 152/500 [00:08<00:18, 19.28it/s]
eval model::  31%|███       | 155/500 [00:08<00:15, 21.67it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 22.56it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:25, 13.49it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:24, 14.02it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:20, 16.17it/s]
eval model::  34%|███▎      | 168/500 [00:09<00:19, 16.66it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:18, 17.84it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.56it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.87it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.70it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 16.07it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:16, 19.08it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:15, 19.89it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:15, 19.99it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.26it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.93it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 20.01it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 22.10it/s]
eval model::  41%|████      | 206/500 [00:11<00:26, 10.93it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:25, 11.67it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:23, 12.37it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.35it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:22, 12.42it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:23, 12.26it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:22, 12.76it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:23, 11.96it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:18, 14.90it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 17.02it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:14, 19.22it/s]
eval model::  47%|████▋     | 233/500 [00:13<00:13, 19.95it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:13, 19.31it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:13, 19.97it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 17.45it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 19.10it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.06it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 20.02it/s]
eval model::  51%|█████     | 254/500 [00:14<00:11, 21.47it/s]
eval model::  51%|█████▏    | 257/500 [00:14<00:10, 22.78it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:09, 24.32it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:09, 24.18it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:11, 20.93it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:13, 17.61it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.74it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:11, 18.82it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:10, 20.54it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:09, 22.33it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 21.74it/s]
eval model::  57%|█████▋    | 287/500 [00:16<00:22,  9.57it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:16, 12.96it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:14, 13.95it/s]
eval model::  59%|█████▉    | 297/500 [00:16<00:16, 12.50it/s]
eval model::  60%|██████    | 300/500 [00:17<00:15, 13.25it/s]
eval model::  61%|██████    | 303/500 [00:17<00:12, 15.19it/s]
eval model::  61%|██████    | 305/500 [00:17<00:12, 15.97it/s]
eval model::  62%|██████▏   | 308/500 [00:17<00:10, 17.86it/s]
eval model::  62%|██████▏   | 311/500 [00:17<00:10, 18.08it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:09, 19.12it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:10, 17.66it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:09, 19.17it/s]
eval model::  65%|██████▍   | 323/500 [00:18<00:09, 19.27it/s]
eval model::  65%|██████▌   | 326/500 [00:18<00:08, 20.92it/s]
eval model::  66%|██████▌   | 329/500 [00:18<00:08, 21.21it/s]
eval model::  66%|██████▋   | 332/500 [00:18<00:07, 22.51it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:07, 23.17it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 19.26it/s]
eval model::  68%|██████▊   | 341/500 [00:19<00:10, 15.08it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:10, 15.53it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:08, 17.85it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 19.63it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 21.26it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.41it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.46it/s]
eval model::  72%|███████▏  | 361/500 [00:20<00:07, 18.61it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:08, 16.90it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:07, 17.09it/s]
eval model::  74%|███████▎  | 368/500 [00:20<00:07, 17.37it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:06, 18.59it/s]
eval model::  75%|███████▍  | 374/500 [00:20<00:05, 21.09it/s]
eval model::  75%|███████▌  | 377/500 [00:20<00:05, 22.09it/s]
eval model::  76%|███████▌  | 380/500 [00:21<00:06, 20.00it/s]
eval model::  77%|███████▋  | 383/500 [00:21<00:05, 22.25it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:08, 12.95it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:07, 15.03it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.06it/s]
eval model::  79%|███████▉  | 395/500 [00:22<00:05, 17.52it/s]
eval model::  80%|███████▉  | 399/500 [00:22<00:05, 20.09it/s]
eval model::  80%|████████  | 402/500 [00:22<00:04, 19.83it/s]
eval model::  81%|████████  | 405/500 [00:22<00:04, 21.02it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 22.23it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:03, 23.21it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 23.13it/s]
eval model::  83%|████████▎ | 417/500 [00:23<00:03, 21.05it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:05, 14.50it/s]
eval model::  85%|████████▍ | 423/500 [00:23<00:04, 16.16it/s]
eval model::  85%|████████▌ | 425/500 [00:23<00:05, 13.59it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:04, 15.73it/s]
eval model::  86%|████████▌ | 431/500 [00:24<00:04, 16.59it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 19.93it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 21.91it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:02, 21.37it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 23.27it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 24.59it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 21.21it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.97it/s]
eval model::  91%|█████████ | 456/500 [00:25<00:01, 23.87it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 25.31it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:02, 16.60it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:02, 15.72it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:02, 16.44it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 19.00it/s]
eval model::  95%|█████████▍| 473/500 [00:26<00:01, 19.07it/s]
eval model::  95%|█████████▌| 476/500 [00:26<00:01, 20.17it/s]
eval model::  96%|█████████▌| 479/500 [00:26<00:00, 21.42it/s]
eval model::  96%|█████████▋| 482/500 [00:26<00:00, 22.47it/s]
eval model::  97%|█████████▋| 485/500 [00:26<00:00, 23.87it/s]
eval model::  98%|█████████▊| 488/500 [00:26<00:00, 21.53it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 21.37it/s]
eval model::  99%|█████████▉| 494/500 [00:27<00:00, 19.23it/s]
eval model::  99%|█████████▉| 497/500 [00:27<00:00, 20.27it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.35it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.27it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.19it/s]
eval model::   1%|          | 6/500 [00:00<00:26, 18.31it/s]
eval model::   2%|▏         | 8/500 [00:00<00:30, 16.22it/s]
eval model::   2%|▏         | 10/500 [00:00<00:29, 16.66it/s]
eval model::   2%|▏         | 12/500 [00:00<00:28, 16.87it/s]
eval model::   3%|▎         | 14/500 [00:00<00:29, 16.69it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.90it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 19.17it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.41it/s]
eval model::   5%|▌         | 25/500 [00:01<00:26, 18.21it/s]
eval model::   6%|▌         | 28/500 [00:01<00:24, 19.06it/s]
eval model::   6%|▌         | 31/500 [00:01<00:25, 18.30it/s]
eval model::   7%|▋         | 34/500 [00:01<00:27, 17.03it/s]
eval model::   7%|▋         | 37/500 [00:02<00:24, 18.93it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 17.79it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.63it/s]
eval model::   9%|▉         | 45/500 [00:02<00:22, 20.08it/s]
eval model::  10%|▉         | 48/500 [00:02<00:23, 19.24it/s]
eval model::  10%|█         | 51/500 [00:02<00:22, 20.14it/s]
eval model::  11%|█         | 54/500 [00:02<00:22, 20.03it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:21, 20.93it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:20, 21.26it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.86it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 17.17it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:23, 18.67it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:22, 19.05it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:22, 19.22it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:21, 19.91it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.86it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.63it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 20.42it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 18.77it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:21, 18.77it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:21, 18.84it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:19, 20.19it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.51it/s]
eval model::  20%|██        | 102/500 [00:05<00:21, 18.79it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.45it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:16, 23.24it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:17, 22.23it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 20.91it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:17, 22.22it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:18, 20.37it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.02it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 18.78it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.58it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 18.43it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:17, 20.35it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.69it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.52it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 22.14it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 20.63it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.83it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 20.56it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 21.19it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.96it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:19, 16.91it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:19, 17.46it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 18.57it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 21.07it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:16, 19.55it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.97it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.51it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 17.50it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:18, 17.34it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:17, 17.58it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:17, 17.56it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:17, 17.49it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:15, 19.96it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:16, 18.16it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:15, 19.11it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.09it/s]
eval model::  41%|████      | 204/500 [00:10<00:14, 20.94it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 14.74it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:18, 15.33it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 14.39it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:20, 14.17it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:23, 12.22it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:22, 12.68it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 15.51it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.75it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:16, 16.60it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:14, 18.18it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:13, 20.31it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:12, 20.60it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:12, 20.83it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:12, 21.56it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:13, 19.46it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 20.40it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:13, 18.10it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 19.83it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 20.57it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 22.04it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 22.85it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 20.27it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:10, 21.36it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 18.98it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 20.01it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:14, 15.38it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:13, 16.65it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:12, 18.16it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:18, 11.81it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:14, 14.33it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.99it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:15, 13.37it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:13, 15.15it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 14.98it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 16.92it/s]
eval model::  61%|██████    | 306/500 [00:16<00:10, 18.66it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:09, 20.27it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:08, 21.34it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:08, 20.62it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:07, 23.46it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 20.10it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:07, 22.03it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 19.91it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.69it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 21.36it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 19.44it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:11, 14.03it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.03it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 18.13it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.39it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 20.60it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 20.02it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 19.13it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.33it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.86it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.95it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 20.20it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 19.84it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:05, 21.58it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:04, 24.02it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:04, 24.99it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 13.62it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 16.09it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.81it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.18it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 21.18it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 20.54it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 21.27it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 22.14it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 23.20it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 22.99it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:03, 21.49it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 15.91it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 17.44it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:04, 16.31it/s]
eval model::  86%|████████▌ | 428/500 [00:22<00:03, 18.63it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 19.24it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:02, 22.84it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 24.18it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 22.46it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 23.77it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 23.17it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 23.99it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:01, 23.02it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 21.94it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 21.47it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 18.98it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:01, 18.17it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 19.22it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 20.03it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 19.13it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 20.80it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 22.31it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 22.26it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 20.75it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 21.32it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 18.53it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 19.95it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 23.52it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.06it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:58,  8.53it/s]
eval model::   1%|          | 3/500 [00:00<00:34, 14.45it/s]
eval model::   1%|          | 5/500 [00:00<00:31, 15.67it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.04it/s]
eval model::   2%|▏         | 10/500 [00:00<00:29, 16.76it/s]
eval model::   2%|▏         | 12/500 [00:00<00:30, 16.18it/s]
eval model::   3%|▎         | 14/500 [00:00<00:29, 16.60it/s]
eval model::   3%|▎         | 17/500 [00:00<00:25, 19.30it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.97it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.22it/s]
eval model::   5%|▌         | 26/500 [00:01<00:25, 18.74it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 20.55it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 18.94it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.50it/s]
eval model::   7%|▋         | 37/500 [00:02<00:23, 19.51it/s]
eval model::   8%|▊         | 39/500 [00:02<00:24, 18.54it/s]
eval model::   8%|▊         | 41/500 [00:02<00:24, 18.83it/s]
eval model::   9%|▊         | 43/500 [00:02<00:28, 16.02it/s]
eval model::   9%|▉         | 46/500 [00:02<00:28, 16.01it/s]
eval model::  10%|▉         | 49/500 [00:02<00:24, 18.21it/s]
eval model::  10%|█         | 51/500 [00:02<00:25, 17.83it/s]
eval model::  11%|█         | 54/500 [00:02<00:22, 19.83it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:21, 20.32it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:23, 18.61it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:30, 14.38it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:29, 14.69it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:26, 16.64it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:23, 18.30it/s]
eval model::  15%|█▍        | 73/500 [00:04<00:22, 19.09it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:20, 20.28it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:20, 20.49it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.35it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 19.87it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:23, 17.45it/s]
eval model::  18%|█▊        | 90/500 [00:05<00:25, 16.37it/s]
eval model::  18%|█▊        | 92/500 [00:05<00:24, 16.55it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:24, 16.82it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:21, 18.54it/s]
eval model::  20%|██        | 100/500 [00:05<00:20, 19.52it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.35it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.05it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 21.84it/s]
eval model::  22%|██▏       | 112/500 [00:06<00:18, 21.48it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:19, 20.16it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 20.92it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.41it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.18it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.14it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.64it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:20, 17.61it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.87it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:16, 21.49it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:16, 21.39it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 22.24it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.01it/s]
eval model::  30%|███       | 150/500 [00:08<00:18, 19.05it/s]
eval model::  31%|███       | 153/500 [00:08<00:18, 18.37it/s]
eval model::  31%|███       | 156/500 [00:08<00:17, 20.11it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.88it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:20, 16.84it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:19, 16.84it/s]
eval model::  33%|███▎      | 167/500 [00:09<00:18, 17.54it/s]
eval model::  34%|███▍      | 169/500 [00:09<00:18, 17.99it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:17, 18.45it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.83it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:16, 20.07it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:17, 17.93it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.65it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.58it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:14, 20.82it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 21.21it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 20.26it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 19.21it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.43it/s]
eval model::  41%|████      | 205/500 [00:10<00:16, 17.81it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:16, 18.09it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:16, 17.78it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:17, 16.69it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.83it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.49it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.61it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 16.04it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.77it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.24it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 18.41it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:13, 19.61it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:14, 18.24it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:13, 19.77it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:13, 19.41it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:14, 17.76it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 20.11it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:13, 19.24it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 21.07it/s]
eval model::  51%|█████     | 255/500 [00:13<00:10, 22.79it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 23.90it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:09, 25.20it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:10, 23.47it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:10, 22.63it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:10, 21.94it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:10, 20.96it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 19.07it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.81it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.60it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:11, 18.38it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:21,  9.79it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:15, 13.72it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:14, 13.87it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:15, 13.43it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:17, 11.87it/s]
eval model::  60%|██████    | 300/500 [00:16<00:14, 13.64it/s]
eval model::  61%|██████    | 303/500 [00:16<00:12, 15.76it/s]
eval model::  61%|██████    | 305/500 [00:16<00:12, 15.72it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:11, 17.07it/s]
eval model::  62%|██████▏   | 311/500 [00:17<00:10, 18.78it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:09, 18.70it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:10, 18.29it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.79it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 19.75it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.80it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 20.26it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 20.01it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:07, 21.46it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 22.16it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:09, 16.39it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 18.43it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:07, 20.10it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 20.90it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 22.28it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 22.12it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.02it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 19.13it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.12it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:06, 19.06it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 19.55it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:06, 20.39it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 21.11it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 20.92it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:04, 24.47it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:06, 16.89it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:05, 18.83it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:05, 19.49it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:04, 21.20it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 22.57it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 21.00it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.58it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 20.56it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 20.96it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:04, 19.55it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 18.75it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 18.69it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 13.52it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 13.83it/s]
eval model::  85%|████████▌ | 427/500 [00:23<00:04, 15.75it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 17.84it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 17.65it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 19.31it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 21.63it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 19.76it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 20.45it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 20.85it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 17.91it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 19.23it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:02, 21.04it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 22.66it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 18.90it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 18.94it/s]
eval model::  94%|█████████▍| 469/500 [00:25<00:01, 20.18it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 20.66it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 21.10it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 21.70it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 20.41it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 20.23it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 18.76it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 19.76it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 18.62it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 18.75it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 22.59it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.80it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.38it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 17.08it/s]
eval model::   1%|▏         | 7/500 [00:00<00:25, 19.50it/s]
eval model::   2%|▏         | 9/500 [00:00<00:26, 18.42it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.52it/s]
eval model::   3%|▎         | 13/500 [00:00<00:26, 18.23it/s]
eval model::   3%|▎         | 15/500 [00:00<00:26, 18.31it/s]
eval model::   4%|▍         | 19/500 [00:00<00:22, 20.96it/s]
eval model::   4%|▍         | 22/500 [00:01<00:24, 19.73it/s]
eval model::   5%|▌         | 25/500 [00:01<00:23, 20.46it/s]
eval model::   6%|▌         | 28/500 [00:01<00:22, 21.37it/s]
eval model::   6%|▌         | 31/500 [00:01<00:22, 20.87it/s]
eval model::   7%|▋         | 34/500 [00:01<00:21, 21.39it/s]
eval model::   7%|▋         | 37/500 [00:01<00:21, 21.88it/s]
eval model::   8%|▊         | 40/500 [00:02<00:23, 19.24it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.12it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.15it/s]
eval model::   9%|▉         | 47/500 [00:02<00:24, 18.68it/s]
eval model::  10%|█         | 50/500 [00:02<00:22, 20.03it/s]
eval model::  11%|█         | 53/500 [00:02<00:21, 20.52it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 20.19it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:22, 19.56it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 16.20it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 16.10it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:20, 20.63it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:17, 23.91it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:18, 23.27it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:18, 23.16it/s]
eval model::  16%|█▌        | 80/500 [00:03<00:17, 24.26it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:17, 23.21it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:18, 22.25it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:20, 19.64it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:21, 18.90it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:20, 19.89it/s]
eval model::  20%|█▉        | 98/500 [00:04<00:18, 21.51it/s]
eval model::  20%|██        | 101/500 [00:05<00:19, 20.72it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 21.31it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:17, 22.07it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:17, 22.63it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:18, 21.12it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:19, 19.69it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:19, 20.03it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:19, 19.58it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:21, 17.73it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:22, 16.55it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:20, 18.22it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:21, 17.32it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:21, 17.17it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:19, 18.52it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.14it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.93it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.10it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:20, 17.56it/s]
eval model::  30%|███       | 151/500 [00:07<00:21, 16.50it/s]
eval model::  31%|███       | 154/500 [00:07<00:18, 18.87it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:16, 20.78it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:21, 15.49it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.84it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 19.09it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 18.66it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:17, 18.91it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:18, 17.85it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:17, 18.59it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:19, 16.00it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 18.02it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.21it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 19.53it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 20.74it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 20.60it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.33it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.56it/s]
eval model::  41%|████      | 204/500 [00:10<00:14, 19.98it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:23, 12.28it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:22, 12.94it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:21, 13.14it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:20, 14.27it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.71it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:23, 11.93it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:19, 14.45it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.25it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:17, 15.35it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 19.33it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:13, 20.38it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 19.96it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 21.10it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:14, 18.24it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 20.41it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.83it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 19.50it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 20.63it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 20.66it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 23.58it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:10, 23.22it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:10, 22.67it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:10, 21.08it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:10, 21.65it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:12, 18.25it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 18.29it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.59it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:18, 11.49it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:15, 13.63it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:13, 15.25it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:13, 15.40it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:16, 12.60it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:13, 15.01it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 15.24it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 17.76it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 18.18it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 19.40it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.57it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 20.32it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:08, 20.82it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 20.01it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:09, 19.05it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 20.66it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 19.67it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 20.58it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:08, 19.94it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 19.17it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.40it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:09, 16.14it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:08, 18.31it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 17.49it/s]
eval model::  70%|███████   | 350/500 [00:18<00:08, 18.26it/s]
eval model::  71%|███████   | 353/500 [00:18<00:07, 19.68it/s]
eval model::  71%|███████   | 356/500 [00:19<00:08, 17.10it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:07, 18.96it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 17.55it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.71it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.14it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:07, 17.70it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:07, 18.24it/s]
eval model::  75%|███████▍  | 374/500 [00:20<00:06, 20.14it/s]
eval model::  75%|███████▌  | 377/500 [00:20<00:05, 21.49it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:06, 19.13it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 20.35it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 14.14it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:06, 16.73it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 17.31it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.43it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 20.14it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 18.74it/s]
eval model::  81%|████████  | 404/500 [00:21<00:04, 20.32it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 20.44it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 20.00it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 19.66it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 19.81it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 19.47it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:06, 13.02it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.19it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.36it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 17.09it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 16.49it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 19.83it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 21.54it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 20.95it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 22.18it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 22.97it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 21.65it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 22.56it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 23.69it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 24.90it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:01, 20.11it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:01, 17.92it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:01, 17.46it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 19.55it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 19.97it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 20.57it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:00, 21.98it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 20.77it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 20.84it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 21.25it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 19.20it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 20.08it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 23.12it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.79it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:59,  8.38it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.92it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.35it/s]
eval model::   2%|▏         | 9/500 [00:00<00:24, 19.70it/s]
eval model::   2%|▏         | 11/500 [00:00<00:31, 15.53it/s]
eval model::   3%|▎         | 13/500 [00:00<00:32, 15.01it/s]
eval model::   3%|▎         | 15/500 [00:00<00:30, 15.68it/s]
eval model::   4%|▎         | 18/500 [00:01<00:25, 18.87it/s]
eval model::   4%|▍         | 20/500 [00:01<00:26, 18.00it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.84it/s]
eval model::   5%|▌         | 26/500 [00:01<00:27, 17.26it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 19.75it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.12it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 19.07it/s]
eval model::   8%|▊         | 38/500 [00:02<00:22, 20.68it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.39it/s]
eval model::   9%|▉         | 44/500 [00:02<00:25, 17.79it/s]
eval model::   9%|▉         | 46/500 [00:02<00:28, 15.84it/s]
eval model::  10%|▉         | 49/500 [00:02<00:25, 17.76it/s]
eval model::  10%|█         | 51/500 [00:02<00:25, 17.70it/s]
eval model::  11%|█         | 53/500 [00:02<00:24, 18.08it/s]
eval model::  11%|█         | 56/500 [00:03<00:24, 18.34it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:25, 17.38it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:28, 15.52it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.28it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.64it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:23, 18.73it/s]
eval model::  14%|█▍        | 72/500 [00:04<00:22, 19.14it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 19.33it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:22, 18.75it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:22, 19.01it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:20, 20.36it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 21.92it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 20.56it/s]
eval model::  18%|█▊        | 91/500 [00:05<00:21, 18.83it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:21, 19.09it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:19, 20.54it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.37it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.62it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 22.45it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:17, 22.74it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:17, 22.43it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:16, 23.07it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:16, 22.86it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 21.03it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:16, 22.65it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.30it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 20.99it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:22, 16.72it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 18.85it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:19, 18.98it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.61it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.70it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 19.73it/s]
eval model::  30%|███       | 151/500 [00:07<00:16, 20.72it/s]
eval model::  31%|███       | 155/500 [00:08<00:14, 23.02it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:14, 23.31it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:21, 15.78it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.43it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:18, 18.22it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 18.67it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:17, 18.49it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.83it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.69it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.83it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:20, 15.85it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:19, 16.67it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 18.98it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 19.15it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:14, 20.72it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:13, 23.04it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:15, 20.18it/s]
eval model::  40%|████      | 200/500 [00:10<00:13, 21.78it/s]
eval model::  41%|████      | 203/500 [00:10<00:12, 22.91it/s]
eval model::  41%|████      | 206/500 [00:10<00:20, 14.03it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:21, 13.88it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:20, 14.26it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.81it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.74it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.51it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:19, 14.66it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:20, 13.76it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:17, 15.85it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:15, 17.55it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 19.95it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.12it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 19.80it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 20.39it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 17.86it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 19.22it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.30it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 20.32it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.69it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.04it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 22.93it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:09, 23.95it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:11, 21.00it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:11, 20.11it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:10, 21.39it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 18.86it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.45it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 21.62it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 22.98it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:17, 11.98it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:13, 15.64it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 15.94it/s]
eval model::  59%|█████▉    | 297/500 [00:16<00:13, 14.62it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 15.18it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 16.85it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 16.95it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:10, 17.92it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:10, 18.23it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:10, 17.54it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:10, 17.19it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:09, 19.17it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:09, 19.10it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:10, 17.24it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:09, 18.04it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:09, 18.20it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 19.84it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 21.74it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 21.44it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.53it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 17.46it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:07, 19.37it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 20.87it/s]
eval model::  70%|███████   | 352/500 [00:18<00:06, 22.45it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 19.34it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 18.20it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:07, 18.18it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:08, 16.52it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:09, 15.02it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 14.98it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 16.86it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:07, 17.10it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:07, 17.34it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:06, 19.27it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 20.95it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 21.82it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:08, 13.34it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:07, 15.57it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:06, 16.19it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 16.57it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:06, 16.69it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 19.68it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 17.52it/s]
eval model::  81%|████████  | 403/500 [00:21<00:05, 18.05it/s]
eval model::  81%|████████  | 405/500 [00:22<00:05, 18.38it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 20.05it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 20.91it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 21.69it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:03, 21.63it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 15.13it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 15.19it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.21it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.53it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 18.27it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 17.71it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 19.81it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:03, 20.44it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 19.78it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 21.51it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 21.57it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 18.96it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.23it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 22.42it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 22.46it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:02, 18.62it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:02, 16.21it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 17.75it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 19.80it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 19.32it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 21.41it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 22.63it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 22.91it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 20.60it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 22.33it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 19.91it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 20.49it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 24.76it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.68it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:55,  9.00it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.29it/s]
eval model::   1%|          | 6/500 [00:00<00:30, 16.45it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.45it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.71it/s]
eval model::   3%|▎         | 14/500 [00:00<00:28, 16.82it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.36it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.58it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.64it/s]
eval model::   5%|▌         | 26/500 [00:01<00:25, 18.90it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 19.74it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 18.99it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 19.60it/s]
eval model::   8%|▊         | 38/500 [00:01<00:22, 20.95it/s]
eval model::   8%|▊         | 41/500 [00:02<00:24, 18.44it/s]
eval model::   9%|▊         | 43/500 [00:02<00:27, 16.35it/s]
eval model::   9%|▉         | 46/500 [00:02<00:27, 16.28it/s]
eval model::  10%|▉         | 49/500 [00:02<00:24, 18.05it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 18.95it/s]
eval model::  11%|█         | 55/500 [00:02<00:22, 20.04it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 19.17it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 16.07it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.71it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 19.57it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 20.97it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 21.51it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:19, 22.06it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:18, 22.40it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.05it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 21.49it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 18.94it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:24, 16.62it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:23, 17.28it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:21, 18.76it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:19, 20.68it/s]
eval model::  20%|██        | 101/500 [00:05<00:19, 20.48it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 20.38it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:19, 20.21it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:20, 18.88it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:19, 19.50it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:21, 18.03it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:19, 20.00it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.60it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:19, 19.35it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:21, 17.36it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:19, 19.51it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:20, 17.97it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:22, 16.60it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:20, 17.96it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 18.21it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:18, 19.34it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:16, 21.56it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:16, 21.44it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:17, 19.78it/s]
eval model::  30%|███       | 152/500 [00:08<00:18, 18.96it/s]
eval model::  31%|███       | 154/500 [00:08<00:18, 19.15it/s]
eval model::  31%|███       | 156/500 [00:08<00:18, 18.63it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.70it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:21, 15.66it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.07it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:18, 17.72it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:20, 16.40it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:19, 17.19it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 16.67it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:17, 18.44it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:18, 16.86it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 18.75it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.38it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:14, 20.92it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 21.59it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 20.95it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:13, 22.08it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.48it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 15.21it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:18, 15.61it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 15.06it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.35it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.20it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 15.00it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.80it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:18, 14.93it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:15, 17.84it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:14, 18.90it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 22.01it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 21.10it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 21.56it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 21.86it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:12, 19.82it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:12, 19.74it/s]
eval model::  50%|█████     | 250/500 [00:13<00:13, 18.87it/s]
eval model::  51%|█████     | 253/500 [00:13<00:12, 20.28it/s]
eval model::  51%|█████     | 256/500 [00:13<00:12, 19.97it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:10, 21.93it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:10, 22.30it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:11, 20.80it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:10, 21.63it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:10, 21.19it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:10, 22.49it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 18.42it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 18.06it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.08it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:16, 12.85it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:13, 15.48it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:11, 18.06it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:14, 14.27it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:11, 17.62it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 16.97it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.16it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.94it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.76it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 20.18it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 19.40it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.52it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 18.59it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.15it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 19.47it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.92it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 22.36it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:07, 23.06it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.74it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 18.20it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:07, 20.54it/s]
eval model::  70%|███████   | 351/500 [00:18<00:06, 23.14it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 21.61it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 22.37it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:06, 20.15it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.82it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 18.77it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 19.80it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 20.74it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 20.75it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 23.91it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 20.79it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:05, 22.77it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:08, 12.62it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:07, 14.40it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 15.39it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 17.48it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 18.20it/s]
eval model::  81%|████████  | 403/500 [00:21<00:05, 18.43it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 20.11it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 20.42it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:04, 21.67it/s]
eval model::  83%|████████▎ | 415/500 [00:22<00:04, 20.44it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 17.65it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 13.46it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 13.74it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 14.33it/s]
eval model::  85%|████████▌ | 427/500 [00:22<00:04, 16.66it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 19.14it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:02, 22.39it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 23.96it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 22.20it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 20.89it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 19.70it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 19.37it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 21.14it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 22.98it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 23.60it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 17.78it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 17.29it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 17.73it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 20.00it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 20.94it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:00, 22.38it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 22.33it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 21.83it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 21.61it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 22.57it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 20.13it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 20.08it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 23.00it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.02it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:54,  9.22it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.12it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 17.97it/s]
eval model::   2%|▏         | 8/500 [00:00<00:32, 15.17it/s]
eval model::   2%|▏         | 10/500 [00:00<00:30, 16.08it/s]
eval model::   2%|▏         | 12/500 [00:00<00:34, 14.11it/s]
eval model::   3%|▎         | 14/500 [00:00<00:34, 13.97it/s]
eval model::   4%|▎         | 18/500 [00:01<00:24, 19.39it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.90it/s]
eval model::   5%|▌         | 25/500 [00:01<00:21, 21.65it/s]
eval model::   6%|▌         | 28/500 [00:01<00:20, 22.77it/s]
eval model::   6%|▌         | 31/500 [00:01<00:21, 21.49it/s]
eval model::   7%|▋         | 34/500 [00:01<00:21, 21.81it/s]
eval model::   7%|▋         | 37/500 [00:01<00:19, 23.71it/s]
eval model::   8%|▊         | 40/500 [00:02<00:20, 22.20it/s]
eval model::   9%|▊         | 43/500 [00:02<00:23, 19.39it/s]
eval model::   9%|▉         | 46/500 [00:02<00:24, 18.49it/s]
eval model::  10%|▉         | 49/500 [00:02<00:21, 20.87it/s]
eval model::  10%|█         | 52/500 [00:02<00:20, 21.70it/s]
eval model::  11%|█         | 55/500 [00:02<00:19, 23.04it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:20, 21.88it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 15.82it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.64it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 17.35it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 20.83it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:21, 20.19it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:21, 20.01it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:21, 19.51it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.06it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 22.45it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:19, 21.18it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:20, 19.85it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 19.47it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:20, 19.90it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.36it/s]
eval model::  20%|██        | 102/500 [00:05<00:21, 18.70it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.79it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:16, 24.22it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:17, 22.13it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:19, 19.67it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:17, 21.68it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:19, 19.81it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:22, 16.66it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:21, 17.07it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:21, 17.36it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:21, 16.93it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:21, 16.88it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:18, 19.77it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:17, 21.06it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:16, 21.59it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.58it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:18, 18.94it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 19.11it/s]
eval model::  30%|███       | 152/500 [00:07<00:19, 17.84it/s]
eval model::  31%|███       | 155/500 [00:07<00:18, 18.33it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 20.25it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:26, 12.61it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:25, 13.44it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:23, 14.53it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:20, 16.08it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:19, 17.20it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:18, 17.25it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:21, 15.14it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:18, 17.37it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:21, 14.69it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:18, 17.20it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:19, 16.41it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:19, 16.21it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:18, 16.87it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:17, 17.40it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:18, 16.75it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:16, 18.67it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.60it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.82it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:19, 14.97it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:19, 14.98it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 14.30it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:20, 13.73it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.69it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:21, 12.99it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:17, 15.63it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:22, 12.58it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:17, 15.90it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:14, 18.23it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 21.57it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 20.46it/s]
eval model::  48%|████▊     | 238/500 [00:13<00:12, 21.07it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:12, 20.59it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:14, 18.10it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:14, 18.13it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:13, 18.34it/s]
eval model::  50%|█████     | 250/500 [00:13<00:15, 15.78it/s]
eval model::  51%|█████     | 253/500 [00:13<00:13, 17.90it/s]
eval model::  51%|█████     | 255/500 [00:14<00:13, 18.23it/s]
eval model::  51%|█████▏    | 257/500 [00:14<00:13, 18.30it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:10, 21.74it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:11, 20.58it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 21.12it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 18.46it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 20.11it/s]
eval model::  55%|█████▌    | 276/500 [00:15<00:11, 19.09it/s]
eval model::  56%|█████▌    | 279/500 [00:15<00:10, 20.25it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:09, 22.14it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:16, 12.99it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:14, 15.02it/s]
eval model::  58%|█████▊    | 292/500 [00:16<00:11, 17.74it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:14, 14.48it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:12, 16.33it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 15.04it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 15.86it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.97it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 17.96it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:09, 19.07it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:10, 18.64it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:10, 17.16it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:09, 19.17it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:08, 19.91it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:09, 18.77it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:09, 18.64it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:09, 18.40it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:09, 18.56it/s]
eval model::  67%|██████▋   | 333/500 [00:18<00:08, 18.90it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:07, 20.78it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:07, 21.10it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:10, 14.74it/s]
eval model::  69%|██████▉   | 345/500 [00:19<00:09, 17.19it/s]
eval model::  70%|██████▉   | 348/500 [00:19<00:08, 18.61it/s]
eval model::  70%|███████   | 351/500 [00:19<00:07, 20.42it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.04it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 20.86it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.07it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:08, 16.88it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:07, 16.92it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:07, 18.08it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:07, 17.49it/s]
eval model::  75%|███████▍  | 374/500 [00:20<00:06, 19.84it/s]
eval model::  75%|███████▌  | 377/500 [00:20<00:05, 21.62it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 20.96it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:04, 24.22it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:07, 15.03it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 16.38it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 17.46it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 17.66it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 17.96it/s]
eval model::  80%|████████  | 401/500 [00:22<00:05, 17.24it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 18.65it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 19.10it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 21.08it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:03, 21.90it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:03, 22.29it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:03, 22.50it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 13.64it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 13.77it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 13.06it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 15.84it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 15.39it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 17.97it/s]
eval model::  87%|████████▋ | 437/500 [00:24<00:03, 18.11it/s]
eval model::  88%|████████▊ | 440/500 [00:24<00:03, 17.54it/s]
eval model::  89%|████████▊ | 443/500 [00:24<00:02, 20.00it/s]
eval model::  89%|████████▉ | 446/500 [00:24<00:02, 20.23it/s]
eval model::  90%|████████▉ | 449/500 [00:24<00:02, 18.89it/s]
eval model::  90%|█████████ | 452/500 [00:24<00:02, 21.22it/s]
eval model::  91%|█████████ | 455/500 [00:24<00:02, 22.08it/s]
eval model::  92%|█████████▏| 458/500 [00:25<00:01, 22.62it/s]
eval model::  92%|█████████▏| 461/500 [00:25<00:01, 21.14it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 16.82it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 14.02it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:02, 14.45it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 16.62it/s]
eval model::  95%|█████████▍| 473/500 [00:26<00:01, 16.52it/s]
eval model::  95%|█████████▌| 475/500 [00:26<00:01, 15.92it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:01, 18.16it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 19.58it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 21.09it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 21.77it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 24.10it/s]
eval model::  99%|█████████▉| 494/500 [00:27<00:00, 20.63it/s]
eval model::  99%|█████████▉| 497/500 [00:27<00:00, 22.68it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.35it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:54,  9.14it/s]
eval model::   1%|          | 3/500 [00:00<00:34, 14.30it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.30it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.92it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 19.38it/s]
eval model::   3%|▎         | 14/500 [00:00<00:22, 21.16it/s]
eval model::   3%|▎         | 17/500 [00:00<00:20, 23.12it/s]
eval model::   4%|▍         | 20/500 [00:01<00:26, 17.92it/s]
eval model::   4%|▍         | 22/500 [00:01<00:26, 18.15it/s]
eval model::   5%|▌         | 25/500 [00:01<00:26, 18.19it/s]
eval model::   6%|▌         | 28/500 [00:01<00:24, 19.50it/s]
eval model::   6%|▌         | 31/500 [00:01<00:27, 17.02it/s]
eval model::   7%|▋         | 34/500 [00:01<00:26, 17.88it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.16it/s]
eval model::   8%|▊         | 40/500 [00:02<00:23, 19.86it/s]
eval model::   9%|▊         | 43/500 [00:02<00:23, 19.33it/s]
eval model::   9%|▉         | 46/500 [00:02<00:24, 18.86it/s]
eval model::  10%|▉         | 49/500 [00:02<00:22, 20.41it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 20.91it/s]
eval model::  11%|█         | 55/500 [00:02<00:19, 22.63it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:21, 20.15it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.64it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.61it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:22, 19.20it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 20.76it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.80it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:20, 20.52it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.81it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:17, 23.57it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.70it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 20.80it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:20, 19.97it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:19, 20.82it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:18, 21.88it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.99it/s]
eval model::  20%|██        | 102/500 [00:05<00:18, 21.04it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.25it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 20.79it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 20.29it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 22.13it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:19, 19.72it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.45it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.81it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.13it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.42it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:22, 16.15it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:20, 17.43it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:19, 18.72it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:21, 17.01it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:18, 19.27it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 19.71it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:18, 18.87it/s]
eval model::  30%|███       | 151/500 [00:07<00:18, 18.64it/s]
eval model::  31%|███       | 155/500 [00:07<00:15, 21.65it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 22.79it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:19, 17.44it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:18, 17.83it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:16, 19.76it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:18, 17.93it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:19, 17.02it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:18, 17.35it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:18, 17.20it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:16, 19.13it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:19, 16.44it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 18.61it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 19.75it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:16, 18.62it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:16, 18.20it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:15, 19.74it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.05it/s]
eval model::  40%|████      | 200/500 [00:10<00:15, 18.86it/s]
eval model::  41%|████      | 203/500 [00:10<00:15, 19.53it/s]
eval model::  41%|████      | 205/500 [00:10<00:21, 13.73it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:19, 14.64it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:20, 14.02it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.37it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 14.01it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.23it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.84it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 14.79it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:15, 17.81it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:13, 20.02it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:13, 20.44it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:13, 19.81it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:12, 20.85it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:12, 20.68it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:14, 17.75it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 19.65it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:13, 18.67it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 20.95it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 21.72it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 22.07it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 22.73it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 20.91it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:12, 17.99it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 17.98it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 19.86it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.75it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 17.81it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:13, 16.87it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:12, 18.10it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:15, 13.66it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:13, 16.19it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 17.90it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 17.04it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:14, 14.49it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:11, 17.14it/s]
eval model::  60%|██████    | 301/500 [00:16<00:12, 16.20it/s]
eval model::  61%|██████    | 304/500 [00:16<00:10, 18.53it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:09, 20.92it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 20.94it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 19.64it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 19.36it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.68it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 19.48it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.50it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:09, 18.97it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 19.86it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 20.86it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 18.60it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:09, 17.62it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:11, 14.43it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:09, 17.14it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 18.20it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 20.47it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 21.29it/s]
eval model::  71%|███████   | 356/500 [00:18<00:07, 19.59it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:06, 20.67it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:08, 17.05it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.23it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.97it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 18.86it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 19.07it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 20.24it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:05, 23.64it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 21.00it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:07, 15.27it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:05, 18.83it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:05, 20.07it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 19.87it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 21.18it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 21.57it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 22.81it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 22.45it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 23.24it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 23.28it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 20.47it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 14.45it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 15.03it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 14.54it/s]
eval model::  85%|████████▌ | 427/500 [00:22<00:04, 17.09it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 19.79it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 20.46it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:02, 23.65it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:02, 21.35it/s]
eval model::  89%|████████▊ | 443/500 [00:23<00:02, 22.81it/s]
eval model::  89%|████████▉ | 446/500 [00:23<00:02, 22.28it/s]
eval model::  90%|████████▉ | 449/500 [00:23<00:02, 19.49it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 22.02it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:02, 20.63it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 20.90it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 18.00it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:01, 18.34it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 17.44it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 18.97it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 20.05it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 20.25it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 21.32it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 19.54it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 18.91it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 17.26it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 19.47it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 17.72it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 18.88it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 22.12it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.01it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:35, 14.03it/s]
eval model::   1%|          | 5/500 [00:00<00:22, 21.65it/s]
eval model::   2%|▏         | 8/500 [00:00<00:24, 20.41it/s]
eval model::   2%|▏         | 11/500 [00:00<00:24, 20.23it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 19.29it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.43it/s]
eval model::   4%|▍         | 20/500 [00:00<00:22, 21.41it/s]
eval model::   5%|▍         | 23/500 [00:01<00:21, 22.18it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 21.38it/s]
eval model::   6%|▌         | 29/500 [00:01<00:20, 23.18it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 19.58it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 18.78it/s]
eval model::   8%|▊         | 38/500 [00:01<00:23, 19.94it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.62it/s]
eval model::   9%|▉         | 44/500 [00:02<00:24, 18.98it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 17.32it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 19.45it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 19.24it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 20.32it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:24, 17.92it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:30, 14.46it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:30, 14.12it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:26, 16.29it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:24, 17.79it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 19.85it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:21, 19.64it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:21, 19.50it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.44it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 20.81it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.24it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:23, 17.21it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:24, 16.60it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:24, 16.48it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 18.96it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.68it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.76it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 20.77it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 20.90it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 20.83it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 21.50it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:19, 19.81it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.12it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.29it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 18.97it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.25it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:22, 16.17it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:20, 17.68it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.58it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.80it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.37it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.08it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 20.76it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 20.67it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:14, 24.26it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:18, 18.50it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:17, 19.04it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:15, 20.99it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:18, 18.35it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:17, 19.18it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:19, 17.07it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:18, 17.34it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:19, 16.49it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 18.10it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 19.78it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.16it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 20.86it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 21.32it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.65it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.24it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 15.24it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 15.91it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 15.70it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:16, 17.08it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.86it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 14.05it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 15.98it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:19, 14.15it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:16, 17.02it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:15, 17.21it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 19.78it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.17it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:11, 22.08it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.62it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 19.21it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:12, 20.27it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.88it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 20.74it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 22.10it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.92it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 21.95it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 21.16it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 18.46it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:13, 17.50it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.30it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:13, 16.97it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:12, 18.25it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:11, 18.42it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:11, 18.20it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:19, 11.03it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:16, 13.13it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:13, 15.54it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:12, 16.17it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:16, 12.57it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:11, 16.83it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 16.50it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.62it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.59it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:10, 18.99it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 19.80it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 19.72it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 22.01it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 20.17it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 21.44it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 19.64it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.30it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 22.18it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:07, 22.36it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:09, 16.87it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 18.27it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:07, 19.98it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:06, 21.94it/s]
eval model::  70%|███████   | 352/500 [00:18<00:06, 22.15it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 20.61it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 20.68it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.51it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.00it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 18.64it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 20.93it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 20.71it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 21.30it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:05, 23.07it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 20.87it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:05, 22.91it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:08, 13.17it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:07, 15.45it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 17.38it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 19.72it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 18.62it/s]
eval model::  81%|████████  | 403/500 [00:21<00:04, 19.71it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 20.20it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 20.92it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:04, 21.72it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 21.28it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 19.71it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 14.50it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 15.14it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 15.69it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 18.31it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 18.19it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 19.07it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 21.57it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 21.07it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 20.56it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 20.24it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 21.22it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 20.47it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 22.41it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 22.94it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 17.74it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 16.90it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 17.96it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 19.85it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 18.40it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 20.60it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 20.07it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 19.78it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 18.85it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 19.78it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 17.89it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 18.88it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 20.56it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.94it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:37, 13.24it/s]
eval model::   1%|          | 5/500 [00:00<00:25, 19.62it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 18.17it/s]
eval model::   2%|▏         | 11/500 [00:00<00:24, 19.84it/s]
eval model::   3%|▎         | 14/500 [00:00<00:22, 21.64it/s]
eval model::   4%|▎         | 18/500 [00:00<00:19, 25.01it/s]
eval model::   4%|▍         | 21/500 [00:00<00:21, 21.94it/s]
eval model::   5%|▍         | 24/500 [00:01<00:20, 23.47it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 20.77it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 21.71it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.41it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 19.83it/s]
eval model::   8%|▊         | 39/500 [00:01<00:24, 18.72it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.48it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.41it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 17.08it/s]
eval model::  10%|█         | 50/500 [00:02<00:24, 18.27it/s]
eval model::  11%|█         | 53/500 [00:02<00:23, 18.71it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 20.45it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:23, 18.45it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:29, 14.91it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.14it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 19.84it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:18, 23.76it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:19, 22.10it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:20, 21.10it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:19, 21.32it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:18, 22.07it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:19, 21.23it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:23, 17.87it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 17.96it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 17.94it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:20, 19.80it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:18, 21.35it/s]
eval model::  20%|██        | 102/500 [00:05<00:18, 21.17it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 23.03it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:16, 23.42it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 19.41it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:19, 20.20it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:20, 19.13it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:20, 18.62it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 19.97it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.56it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.20it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.37it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:17, 20.33it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:16, 21.50it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:15, 23.24it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.07it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:18, 18.59it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 18.28it/s]
eval model::  31%|███       | 155/500 [00:07<00:16, 20.33it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:16, 21.15it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.75it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.14it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 20.04it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:15, 21.15it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:17, 18.57it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:17, 18.52it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.39it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 17.06it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 19.08it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:16, 19.54it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 20.12it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:15, 20.13it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:17, 17.50it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:15, 19.83it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 21.34it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 14.93it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:19, 15.24it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:18, 15.74it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.39it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.53it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.39it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.19it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 15.02it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:14, 18.55it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:12, 21.26it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.03it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 19.61it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 21.22it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:14, 17.38it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:13, 18.48it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:13, 19.26it/s]
eval model::  50%|█████     | 251/500 [00:13<00:13, 18.94it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 21.94it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 23.49it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:09, 25.25it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:10, 22.70it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:10, 22.08it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:11, 20.36it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:11, 19.75it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 17.34it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:13, 16.65it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 18.20it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:21, 10.23it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:16, 12.76it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:13, 15.91it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:15, 13.25it/s]
eval model::  60%|█████▉    | 298/500 [00:15<00:13, 15.41it/s]
eval model::  60%|██████    | 301/500 [00:16<00:12, 15.87it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.25it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 19.21it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.68it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 19.65it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 19.03it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:09, 19.88it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 19.60it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 21.16it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 19.55it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.22it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 21.24it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 20.14it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 14.92it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.77it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 19.08it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 20.46it/s]
eval model::  70%|███████   | 352/500 [00:18<00:06, 22.29it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 21.75it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 21.58it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.79it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.46it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.01it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.54it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 19.14it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.20it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 24.06it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 20.11it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:05, 21.89it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:08, 13.06it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:07, 15.38it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 16.90it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 19.29it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 17.88it/s]
eval model::  81%|████████  | 403/500 [00:21<00:05, 18.04it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 19.03it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 20.68it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:04, 21.78it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 21.37it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 19.20it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 14.08it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 14.71it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 15.37it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 17.78it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 17.90it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 20.21it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 21.71it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 20.04it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 20.52it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 20.36it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 19.55it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.04it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 22.46it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 22.82it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:01, 19.23it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 16.64it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 18.68it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 20.92it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 21.16it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 22.06it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:01, 19.81it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 20.52it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 19.05it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 18.99it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 18.82it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 20.11it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 22.39it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.00it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:51,  9.67it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 18.60it/s]
eval model::   1%|          | 6/500 [00:00<00:26, 18.82it/s]
eval model::   2%|▏         | 8/500 [00:00<00:30, 16.12it/s]
eval model::   2%|▏         | 11/500 [00:00<00:33, 14.55it/s]
eval model::   3%|▎         | 14/500 [00:00<00:30, 16.07it/s]
eval model::   3%|▎         | 17/500 [00:00<00:26, 18.39it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.89it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.56it/s]
eval model::   5%|▌         | 26/500 [00:01<00:21, 21.85it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.71it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.26it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 19.77it/s]
eval model::   8%|▊         | 38/500 [00:01<00:22, 20.53it/s]
eval model::   8%|▊         | 41/500 [00:02<00:22, 20.21it/s]
eval model::   9%|▉         | 44/500 [00:02<00:25, 17.73it/s]
eval model::   9%|▉         | 46/500 [00:02<00:25, 17.61it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 19.22it/s]
eval model::  10%|█         | 51/500 [00:02<00:23, 19.18it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 20.74it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:20, 21.62it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:21, 20.20it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.38it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 17.25it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 19.71it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.61it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 21.69it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.61it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.15it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.64it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.63it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 18.11it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:23, 17.71it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 19.59it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:19, 20.83it/s]
eval model::  20%|██        | 100/500 [00:05<00:18, 21.12it/s]
eval model::  21%|██        | 103/500 [00:05<00:18, 21.20it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 21.97it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 21.59it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:20, 18.87it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:20, 18.90it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:19, 19.94it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.57it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.90it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 17.99it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.06it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 17.98it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 20.08it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.71it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.73it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 22.04it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.11it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.17it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 20.63it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:14, 23.89it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:18, 18.64it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:17, 18.76it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 19.11it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 18.88it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 18.42it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:17, 18.44it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:17, 18.41it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.83it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 16.25it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:16, 18.60it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 19.01it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:15, 19.51it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:14, 21.80it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:15, 19.40it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 21.11it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 19.80it/s]
eval model::  41%|████      | 206/500 [00:10<00:22, 13.19it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:22, 13.09it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:22, 12.68it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:20, 14.20it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.31it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 13.29it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 15.48it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:21, 12.98it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:17, 15.96it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 16.64it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:12, 20.88it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:13, 19.72it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:13, 19.96it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:12, 20.13it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:13, 18.91it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 21.00it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 20.17it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 21.74it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 21.75it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 22.15it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 22.29it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 20.68it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 19.90it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 18.69it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 19.74it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:12, 18.23it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.71it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.26it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:18, 11.72it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 12.67it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:13, 15.28it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:13, 15.79it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.18it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 13.51it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:11, 16.85it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 16.76it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.51it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 19.07it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.60it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 20.41it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 18.45it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:09, 19.60it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 18.26it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.26it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 19.50it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.32it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:08, 19.85it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 19.22it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:08, 19.20it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:10, 15.61it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:09, 17.30it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 18.58it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 19.59it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 23.14it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:06, 20.56it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:07, 19.63it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 17.91it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:07, 17.44it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:07, 18.54it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 18.80it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 16.51it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 17.88it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 20.52it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 19.94it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 21.87it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:07, 14.24it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 16.77it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 17.79it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 17.81it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.95it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 19.88it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 21.11it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 21.55it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 22.16it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:04, 21.05it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 20.46it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 13.58it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 15.54it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:04, 15.19it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:03, 18.06it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 17.72it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 20.89it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 22.75it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 21.65it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 23.33it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 23.09it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 20.48it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.94it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:02, 21.25it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 20.68it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 17.09it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 16.47it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:01, 16.75it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 19.94it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 19.32it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 21.32it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 20.31it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 19.31it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 19.64it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 20.34it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 18.88it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 20.22it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 23.36it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.86it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:04,  7.70it/s]
eval model::   1%|          | 3/500 [00:00<00:35, 13.91it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 17.85it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 18.14it/s]
eval model::   2%|▏         | 11/500 [00:00<00:30, 16.23it/s]
eval model::   3%|▎         | 13/500 [00:00<00:29, 16.55it/s]
eval model::   3%|▎         | 15/500 [00:00<00:30, 15.93it/s]
eval model::   4%|▎         | 18/500 [00:01<00:25, 18.86it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.85it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.63it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.09it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 21.35it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 20.10it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 19.44it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 19.45it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 17.77it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.12it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.59it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 17.19it/s]
eval model::  10%|▉         | 49/500 [00:02<00:25, 17.62it/s]
eval model::  10%|█         | 51/500 [00:02<00:25, 17.96it/s]
eval model::  11%|█         | 54/500 [00:02<00:22, 19.66it/s]
eval model::  11%|█         | 56/500 [00:03<00:23, 19.06it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:24, 17.71it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:28, 15.56it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.33it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.22it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 20.84it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.82it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 19.86it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:21, 20.04it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.96it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.56it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.74it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:23, 17.47it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:23, 17.19it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:23, 17.56it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 20.18it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.71it/s]
eval model::  20%|██        | 102/500 [00:05<00:18, 20.96it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 22.19it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:17, 22.71it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 20.51it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:17, 22.06it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:17, 22.44it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:18, 20.80it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 20.13it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 20.24it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 19.02it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 18.97it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 20.12it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.67it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.83it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.70it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 18.70it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.23it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.37it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 21.02it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 21.08it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:22, 15.20it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:19, 17.41it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 18.64it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:16, 19.39it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:17, 18.58it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:17, 18.21it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.15it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 17.18it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 18.07it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:16, 18.52it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 19.70it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:14, 20.49it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:16, 18.31it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:15, 19.50it/s]
eval model::  40%|████      | 202/500 [00:10<00:15, 18.71it/s]
eval model::  41%|████      | 204/500 [00:10<00:15, 18.86it/s]
eval model::  41%|████      | 206/500 [00:11<00:26, 11.25it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:24, 11.72it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:23, 12.45it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:20, 13.89it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.86it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 13.24it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:18, 15.17it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:21, 13.02it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:17, 16.12it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 16.69it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:14, 18.57it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:13, 19.14it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 18.96it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:12, 20.08it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:15, 16.19it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:14, 17.87it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:14, 17.52it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:14, 16.92it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 19.39it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 20.51it/s]
eval model::  52%|█████▏    | 258/500 [00:14<00:11, 21.42it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:10, 21.99it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:11, 20.24it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 20.78it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 20.38it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:10, 22.09it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 19.42it/s]
eval model::  56%|█████▌    | 279/500 [00:15<00:10, 20.15it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:10, 21.65it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:18, 11.54it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:15, 13.81it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.10it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:12, 15.92it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 13.35it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 15.77it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 16.14it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.98it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.27it/s]
eval model::  62%|██████▏   | 309/500 [00:17<00:10, 18.58it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:09, 19.21it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:09, 19.02it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 18.90it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.87it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 19.19it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.90it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 19.17it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 19.86it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:07, 22.90it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 19.94it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:10, 15.03it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:08, 17.45it/s]
eval model::  69%|██████▉   | 347/500 [00:19<00:08, 18.39it/s]
eval model::  70%|███████   | 350/500 [00:19<00:07, 20.09it/s]
eval model::  71%|███████   | 353/500 [00:19<00:06, 21.73it/s]
eval model::  71%|███████   | 356/500 [00:19<00:07, 18.42it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:07, 19.32it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:08, 16.61it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.27it/s]
eval model::  73%|███████▎  | 367/500 [00:20<00:07, 17.56it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:06, 19.02it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 17.83it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 19.10it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 21.29it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 20.51it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:04, 23.96it/s]
eval model::  78%|███████▊  | 388/500 [00:21<00:08, 13.84it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:07, 15.23it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 16.54it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 18.47it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 18.41it/s]
eval model::  81%|████████  | 403/500 [00:22<00:05, 18.27it/s]
eval model::  81%|████████  | 405/500 [00:22<00:05, 18.41it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 19.79it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 21.99it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 22.20it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 20.41it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:05, 14.82it/s]
eval model::  85%|████████▍ | 423/500 [00:23<00:04, 17.07it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 15.74it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 17.72it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:04, 16.79it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 18.31it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:03, 19.56it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:03, 18.42it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 19.15it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 19.24it/s]
eval model::  90%|████████▉ | 449/500 [00:24<00:02, 18.07it/s]
eval model::  90%|█████████ | 452/500 [00:24<00:02, 19.58it/s]
eval model::  91%|█████████ | 455/500 [00:24<00:02, 21.51it/s]
eval model::  92%|█████████▏| 458/500 [00:24<00:01, 22.55it/s]
eval model::  92%|█████████▏| 461/500 [00:25<00:01, 21.96it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 15.65it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 14.97it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:02, 15.83it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 18.14it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 18.04it/s]
eval model::  95%|█████████▌| 477/500 [00:26<00:01, 18.88it/s]
eval model::  96%|█████████▌| 479/500 [00:26<00:01, 19.08it/s]
eval model::  96%|█████████▋| 482/500 [00:26<00:00, 19.11it/s]
eval model::  97%|█████████▋| 485/500 [00:26<00:00, 21.57it/s]
eval model::  98%|█████████▊| 488/500 [00:26<00:00, 21.59it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 21.04it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 19.49it/s]
eval model::  99%|█████████▉| 497/500 [00:27<00:00, 20.89it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.42it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:55,  8.93it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.22it/s]
eval model::   1%|▏         | 7/500 [00:00<00:24, 20.22it/s]
eval model::   2%|▏         | 9/500 [00:00<00:25, 19.08it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.81it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.29it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.22it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.49it/s]
eval model::   4%|▍         | 22/500 [00:01<00:25, 18.51it/s]
eval model::   5%|▌         | 25/500 [00:01<00:24, 19.62it/s]
eval model::   6%|▌         | 28/500 [00:01<00:22, 20.64it/s]
eval model::   6%|▌         | 31/500 [00:01<00:26, 17.88it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.63it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 18.90it/s]
eval model::   8%|▊         | 38/500 [00:02<00:24, 18.91it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 17.84it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.91it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.05it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 17.24it/s]
eval model::  10%|█         | 50/500 [00:02<00:23, 18.81it/s]
eval model::  11%|█         | 53/500 [00:02<00:21, 20.43it/s]
eval model::  11%|█         | 56/500 [00:02<00:22, 19.50it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.95it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 16.10it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 16.05it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.22it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.49it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 21.28it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:19, 21.94it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.98it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.67it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 21.91it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.36it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.23it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 19.85it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:20, 19.71it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.84it/s]
eval model::  20%|██        | 102/500 [00:05<00:21, 18.15it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 19.83it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:19, 19.82it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 19.71it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 20.64it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:18, 20.29it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:20, 18.47it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.65it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:22, 16.94it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.05it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 16.98it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 18.76it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 20.02it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.52it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.56it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.06it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.72it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.76it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 21.29it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:15, 22.03it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:20, 16.30it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:19, 16.80it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 18.15it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 20.28it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:16, 20.18it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:17, 18.12it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.91it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:17, 18.37it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:15, 20.35it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:15, 19.55it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:15, 19.65it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 20.27it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.18it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.35it/s]
eval model::  41%|████      | 205/500 [00:10<00:18, 15.64it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:17, 16.59it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:17, 16.52it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.26it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.36it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.79it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 16.01it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:19, 14.35it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.98it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.93it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 22.47it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 20.95it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 21.74it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:14, 18.20it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:12, 20.19it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 22.22it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 22.28it/s]
eval model::  51%|█████     | 254/500 [00:13<00:10, 23.10it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:10, 22.75it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 23.53it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:10, 22.00it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:11, 19.89it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:11, 19.40it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 19.99it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.93it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 18.87it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:11, 19.11it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.17it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:18, 11.73it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:14, 14.44it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:11, 17.55it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:14, 14.22it/s]
eval model::  60%|█████▉    | 298/500 [00:15<00:12, 16.78it/s]
eval model::  60%|██████    | 301/500 [00:16<00:12, 15.68it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.78it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.32it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.43it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 20.51it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 19.29it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:09, 19.81it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 19.25it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:09, 19.39it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:08, 21.32it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 19.81it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:08, 20.45it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 20.82it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 20.30it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:10, 15.31it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:08, 17.80it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:08, 18.76it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 20.88it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 22.71it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 22.96it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:06, 20.09it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.06it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 18.88it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 19.99it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 20.75it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 20.74it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 22.53it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 20.21it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 14.11it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 16.56it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 17.89it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:05, 19.08it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:04, 20.85it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 18.34it/s]
eval model::  81%|████████  | 404/500 [00:21<00:04, 19.59it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 20.81it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 22.49it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:04, 21.00it/s]
eval model::  83%|████████▎ | 416/500 [00:21<00:04, 19.15it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 18.43it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:06, 12.81it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 14.16it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 15.14it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 17.82it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 18.75it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:02, 22.15it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 22.16it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 20.76it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 21.10it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 21.43it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 21.36it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 22.88it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 23.63it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 22.54it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 17.85it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 16.59it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 18.71it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 20.65it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 21.16it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:00, 23.04it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 24.35it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 23.68it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 23.66it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 23.61it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 19.55it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 19.50it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 22.92it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.18it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:58,  8.48it/s]
eval model::   1%|          | 3/500 [00:00<00:33, 14.72it/s]
eval model::   1%|          | 6/500 [00:00<00:26, 18.45it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.00it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 18.85it/s]
eval model::   3%|▎         | 14/500 [00:00<00:23, 20.40it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.49it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.29it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.79it/s]
eval model::   5%|▌         | 25/500 [00:01<00:24, 19.18it/s]
eval model::   6%|▌         | 28/500 [00:01<00:25, 18.75it/s]
eval model::   6%|▌         | 31/500 [00:01<00:26, 17.65it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 17.93it/s]
eval model::   7%|▋         | 36/500 [00:01<00:25, 17.94it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 18.04it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.53it/s]
eval model::   9%|▉         | 44/500 [00:02<00:26, 16.91it/s]
eval model::   9%|▉         | 46/500 [00:02<00:30, 14.67it/s]
eval model::  10%|▉         | 48/500 [00:02<00:29, 15.56it/s]
eval model::  10%|█         | 51/500 [00:02<00:26, 16.98it/s]
eval model::  11%|█         | 54/500 [00:03<00:23, 18.99it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:21, 20.78it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.96it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.67it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 17.29it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.50it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.64it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:20, 20.59it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 22.05it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.18it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.70it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.35it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 17.91it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:22, 18.17it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.29it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.87it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 19.99it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 19.81it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:20, 18.89it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:20, 19.11it/s]
eval model::  22%|██▏       | 112/500 [00:06<00:20, 18.78it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:19, 19.41it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 20.20it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.76it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 18.82it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.78it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.19it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:20, 18.00it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:20, 18.26it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:19, 18.96it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.55it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.07it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.42it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.26it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.57it/s]
eval model::  31%|███       | 153/500 [00:08<00:17, 20.25it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:15, 22.50it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:19, 17.35it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:18, 18.23it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:16, 20.09it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 20.10it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:16, 20.49it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:15, 20.86it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:14, 22.20it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:16, 18.77it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:15, 20.02it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 19.93it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 20.06it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:14, 21.60it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:14, 20.81it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 21.38it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 21.96it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 14.75it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:18, 15.74it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 15.73it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.93it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.79it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.73it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 15.81it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.45it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:17, 15.64it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 16.52it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:13, 20.17it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:14, 18.51it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:13, 19.48it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:12, 20.30it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:13, 18.38it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 20.44it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 19.70it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 21.71it/s]
eval model::  51%|█████     | 255/500 [00:13<00:10, 22.40it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 21.88it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 23.47it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:10, 22.45it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 20.23it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 17.94it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:12, 18.83it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.39it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:12, 18.17it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:11, 19.43it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 20.43it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:18, 11.83it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:13, 15.51it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.02it/s]
eval model::  59%|█████▉    | 297/500 [00:16<00:13, 15.27it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 15.99it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 17.42it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 17.64it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 19.40it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:08, 21.05it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 20.94it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:08, 21.30it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 22.02it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 20.95it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 20.84it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 20.72it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.42it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 22.85it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 18.99it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:10, 14.48it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:09, 16.30it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 17.55it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 19.54it/s]
eval model::  71%|███████   | 353/500 [00:18<00:07, 19.98it/s]
eval model::  71%|███████   | 356/500 [00:19<00:07, 19.29it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:07, 19.80it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 18.45it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.52it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 16.05it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 17.36it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:07, 17.63it/s]
eval model::  75%|███████▍  | 374/500 [00:20<00:06, 19.96it/s]
eval model::  75%|███████▌  | 377/500 [00:20<00:05, 21.81it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.01it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 23.13it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:09, 12.64it/s]
eval model::  78%|███████▊  | 388/500 [00:21<00:08, 13.68it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:06, 16.32it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:05, 17.85it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 20.22it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 19.11it/s]
eval model::  81%|████████  | 403/500 [00:21<00:04, 19.91it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 20.73it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 22.43it/s]
eval model::  82%|████████▏ | 412/500 [00:22<00:04, 20.65it/s]
eval model::  83%|████████▎ | 415/500 [00:22<00:04, 20.62it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:03, 21.04it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:06, 12.73it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 13.87it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.69it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 17.54it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:04, 16.62it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 18.89it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 21.97it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 21.10it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 21.81it/s]
eval model::  90%|████████▉ | 448/500 [00:24<00:02, 21.09it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 21.23it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 22.97it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 24.47it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 24.93it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 18.82it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 18.53it/s]
eval model::  94%|█████████▍| 469/500 [00:25<00:01, 19.23it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 20.33it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 20.82it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 21.87it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 20.04it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 19.57it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 19.43it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 20.99it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 19.69it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 20.74it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 21.49it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.80it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:01,  8.15it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 18.48it/s]
eval model::   1%|▏         | 7/500 [00:00<00:22, 21.53it/s]
eval model::   2%|▏         | 10/500 [00:00<00:25, 19.35it/s]
eval model::   2%|▏         | 12/500 [00:00<00:25, 19.38it/s]
eval model::   3%|▎         | 14/500 [00:00<00:29, 16.30it/s]
eval model::   3%|▎         | 17/500 [00:00<00:26, 18.02it/s]
eval model::   4%|▍         | 20/500 [00:01<00:27, 17.38it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.23it/s]
eval model::   5%|▌         | 25/500 [00:01<00:25, 18.41it/s]
eval model::   6%|▌         | 28/500 [00:01<00:23, 19.68it/s]
eval model::   6%|▌         | 31/500 [00:01<00:25, 18.23it/s]
eval model::   7%|▋         | 34/500 [00:01<00:26, 17.78it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 19.31it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 17.78it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.73it/s]
eval model::   9%|▉         | 44/500 [00:02<00:26, 17.34it/s]
eval model::   9%|▉         | 46/500 [00:02<00:30, 14.90it/s]
eval model::  10%|▉         | 49/500 [00:02<00:26, 16.86it/s]
eval model::  10%|█         | 51/500 [00:02<00:27, 16.53it/s]
eval model::  11%|█         | 53/500 [00:03<00:26, 17.08it/s]
eval model::  11%|█         | 56/500 [00:03<00:24, 18.31it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:25, 17.34it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:29, 15.10it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:32, 13.59it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:27, 15.96it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:21, 19.64it/s]
eval model::  15%|█▍        | 73/500 [00:04<00:21, 20.10it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:20, 20.65it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.44it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.04it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 21.73it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 19.71it/s]
eval model::  18%|█▊        | 91/500 [00:05<00:22, 18.17it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:22, 17.91it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.95it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.96it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.88it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.70it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:17, 21.84it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 21.19it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:17, 22.45it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:19, 19.16it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.53it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.73it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 18.99it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.14it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:20, 18.00it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 20.06it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.59it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.84it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.68it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:20, 17.46it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:19, 17.94it/s]
eval model::  30%|███       | 151/500 [00:08<00:20, 16.93it/s]
eval model::  31%|███       | 154/500 [00:08<00:18, 19.12it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:16, 20.47it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:21, 16.02it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.26it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 19.60it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 20.01it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:15, 20.63it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:18, 17.53it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:17, 18.26it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:19, 16.78it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 18.10it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.62it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:15, 20.25it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:16, 18.67it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:17, 17.19it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 19.04it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.69it/s]
eval model::  41%|████      | 205/500 [00:11<00:18, 15.63it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:18, 15.79it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 15.83it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:16, 17.37it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.58it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.83it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:17, 15.83it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:20, 13.86it/s]
eval model::  45%|████▍     | 223/500 [00:12<00:18, 14.96it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.52it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 20.35it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:13, 20.41it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 19.05it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 20.29it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:16, 15.99it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:14, 17.71it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 19.54it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 19.57it/s]
eval model::  51%|█████     | 254/500 [00:13<00:12, 20.19it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.36it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:10, 22.82it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:10, 23.70it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:10, 21.87it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:11, 20.31it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 20.22it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:13, 16.42it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:13, 16.21it/s]
eval model::  56%|█████▌    | 279/500 [00:15<00:13, 16.51it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:10, 19.92it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:16, 12.61it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:14, 14.65it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.19it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:13, 15.78it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:16, 12.43it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:13, 15.19it/s]
eval model::  60%|██████    | 301/500 [00:16<00:13, 14.26it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.17it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:11, 17.33it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:09, 19.04it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:09, 20.06it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:10, 18.33it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:09, 19.72it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 18.58it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 19.90it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:09, 18.91it/s]
eval model::  66%|██████▌   | 330/500 [00:18<00:08, 19.02it/s]
eval model::  67%|██████▋   | 333/500 [00:18<00:08, 20.33it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:07, 22.34it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:07, 22.37it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:10, 14.89it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:09, 17.16it/s]
eval model::  70%|██████▉   | 348/500 [00:19<00:08, 18.20it/s]
eval model::  70%|███████   | 351/500 [00:19<00:07, 20.11it/s]
eval model::  71%|███████   | 354/500 [00:19<00:06, 21.37it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:07, 19.28it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:06, 20.10it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 19.08it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:07, 17.16it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:06, 19.26it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:06, 19.09it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:05, 21.07it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:04, 24.82it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 23.05it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:07, 15.80it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:06, 18.03it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:05, 18.44it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.57it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 19.71it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 17.04it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 17.93it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 18.97it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 20.70it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 21.10it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:03, 21.21it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 20.18it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 13.62it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 13.08it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 13.56it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:05, 14.02it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 15.24it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 18.25it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:03, 20.49it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:03, 19.00it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 20.83it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 22.09it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 21.22it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 23.15it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 24.78it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 26.17it/s]
eval model::  93%|█████████▎| 463/500 [00:25<00:01, 19.15it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:01, 18.92it/s]
eval model::  94%|█████████▍| 469/500 [00:25<00:01, 19.96it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 21.54it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 21.30it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:00, 22.54it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 22.38it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 21.36it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 21.56it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 23.44it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 21.13it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 21.16it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 24.24it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.69it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:38, 13.08it/s]
eval model::   1%|          | 5/500 [00:00<00:25, 19.37it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.95it/s]
eval model::   2%|▏         | 11/500 [00:00<00:31, 15.72it/s]
eval model::   3%|▎         | 13/500 [00:00<00:30, 16.20it/s]
eval model::   3%|▎         | 15/500 [00:00<00:29, 16.32it/s]
eval model::   4%|▎         | 18/500 [00:01<00:24, 19.69it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 18.70it/s]
eval model::   5%|▍         | 24/500 [00:01<00:22, 21.23it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 21.12it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 21.99it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.38it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 19.56it/s]
eval model::   8%|▊         | 39/500 [00:02<00:24, 19.14it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.56it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.80it/s]
eval model::   9%|▉         | 47/500 [00:02<00:27, 16.27it/s]
eval model::  10%|█         | 50/500 [00:02<00:26, 17.10it/s]
eval model::  11%|█         | 53/500 [00:02<00:23, 18.97it/s]
eval model::  11%|█         | 56/500 [00:03<00:23, 19.24it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 19.08it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.26it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.56it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 20.59it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 21.50it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 20.85it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:18, 22.48it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:18, 22.58it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:17, 23.39it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 22.18it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 19.71it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:23, 17.69it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:21, 19.23it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:20, 20.04it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.97it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.83it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.87it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.60it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 20.55it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:19, 20.20it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:17, 21.27it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:17, 21.31it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.20it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.67it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:18, 19.91it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.18it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:19, 18.57it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:20, 17.69it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:21, 16.90it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:19, 18.53it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.05it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.47it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.51it/s]
eval model::  31%|███       | 153/500 [00:07<00:19, 17.99it/s]
eval model::  31%|███       | 156/500 [00:08<00:17, 19.43it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.17it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:22, 15.22it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:19, 16.99it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 18.03it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:17, 19.18it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:17, 18.35it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 16.77it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:20, 15.67it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:19, 16.64it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:22, 14.07it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:20, 15.34it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:16, 18.80it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:17, 17.51it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:16, 18.42it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 20.49it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 17.82it/s]
eval model::  40%|████      | 200/500 [00:10<00:15, 19.62it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 20.94it/s]
eval model::  41%|████      | 206/500 [00:11<00:20, 14.68it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:20, 14.28it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:21, 13.79it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 15.03it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.30it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 12.95it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:18, 15.07it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.46it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:17, 15.41it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:15, 17.51it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:13, 20.45it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:13, 19.64it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 20.62it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:13, 19.72it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:14, 17.35it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:14, 17.52it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:14, 17.89it/s]
eval model::  50%|█████     | 250/500 [00:13<00:15, 16.17it/s]
eval model::  50%|█████     | 252/500 [00:13<00:15, 16.44it/s]
eval model::  51%|█████     | 255/500 [00:13<00:13, 18.83it/s]
eval model::  52%|█████▏    | 258/500 [00:14<00:11, 21.11it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:11, 21.48it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:10, 21.91it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:10, 21.23it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 18.92it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 20.49it/s]
eval model::  55%|█████▌    | 276/500 [00:15<00:12, 17.96it/s]
eval model::  56%|█████▌    | 279/500 [00:15<00:12, 18.19it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:11, 18.96it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:19, 10.90it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:16, 12.98it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:13, 15.26it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:13, 15.38it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 13.01it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:13, 15.03it/s]
eval model::  60%|██████    | 301/500 [00:16<00:14, 13.90it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.66it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:11, 17.36it/s]
eval model::  62%|██████▏   | 309/500 [00:17<00:10, 17.52it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:10, 18.20it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:10, 18.41it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:10, 17.88it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:09, 19.73it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 19.46it/s]
eval model::  65%|██████▌   | 325/500 [00:18<00:08, 21.07it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:08, 19.88it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 20.39it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:06, 23.64it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 19.83it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:10, 15.26it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:09, 15.99it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:08, 17.94it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 20.46it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 21.36it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 20.63it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 20.58it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:08, 17.00it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:08, 16.84it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:08, 16.45it/s]
eval model::  74%|███████▎  | 368/500 [00:20<00:07, 16.92it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:07, 17.00it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 16.54it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 18.30it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:05, 22.81it/s]
eval model::  76%|███████▋  | 382/500 [00:21<00:05, 21.78it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:07, 14.86it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:06, 16.72it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 17.49it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.47it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 20.28it/s]
eval model::  80%|████████  | 401/500 [00:22<00:05, 18.03it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 19.14it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 19.97it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 21.95it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 21.04it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 20.43it/s]
eval model::  84%|████████▍ | 419/500 [00:23<00:03, 20.26it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 14.66it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.09it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.77it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 16.98it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 15.66it/s]
eval model::  87%|████████▋ | 434/500 [00:24<00:03, 18.50it/s]
eval model::  87%|████████▋ | 437/500 [00:24<00:03, 20.48it/s]
eval model::  88%|████████▊ | 440/500 [00:24<00:03, 19.52it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 22.91it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 24.15it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 20.44it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.83it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:02, 21.61it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 23.04it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:02, 18.95it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:01, 17.70it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 18.62it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 20.65it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 19.98it/s]
eval model::  95%|█████████▌| 477/500 [00:26<00:01, 20.43it/s]
eval model::  96%|█████████▌| 480/500 [00:26<00:00, 20.64it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 21.38it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 19.57it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 21.36it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 20.65it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 21.47it/s]
eval model:: 100%|█████████▉| 498/500 [00:27<00:00, 22.95it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.44it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:59,  8.32it/s]
eval model::   1%|          | 4/500 [00:00<00:30, 16.53it/s]
eval model::   1%|▏         | 7/500 [00:00<00:24, 20.04it/s]
eval model::   2%|▏         | 9/500 [00:00<00:26, 18.36it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 17.38it/s]
eval model::   3%|▎         | 13/500 [00:00<00:27, 17.94it/s]
eval model::   3%|▎         | 15/500 [00:00<00:27, 17.45it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.52it/s]
eval model::   4%|▍         | 21/500 [00:01<00:23, 20.11it/s]
eval model::   5%|▍         | 24/500 [00:01<00:21, 21.71it/s]
eval model::   5%|▌         | 27/500 [00:01<00:21, 21.78it/s]
eval model::   6%|▌         | 30/500 [00:01<00:20, 22.71it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 19.92it/s]
eval model::   7%|▋         | 36/500 [00:01<00:25, 18.22it/s]
eval model::   8%|▊         | 39/500 [00:02<00:24, 18.49it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.83it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.33it/s]
eval model::  10%|▉         | 48/500 [00:02<00:25, 17.84it/s]
eval model::  10%|█         | 51/500 [00:02<00:23, 19.51it/s]
eval model::  11%|█         | 54/500 [00:02<00:20, 21.53it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:20, 21.21it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.94it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.45it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 17.29it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.19it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 19.73it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:21, 19.74it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:21, 19.64it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.14it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 20.89it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 20.44it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 18.73it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 18.74it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:20, 19.99it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.91it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.70it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.92it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:17, 22.94it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 19.60it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 20.92it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 20.57it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 20.09it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.16it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.61it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.58it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 17.95it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 20.23it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.59it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.45it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.05it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.26it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.77it/s]
eval model::  31%|███       | 153/500 [00:07<00:19, 18.20it/s]
eval model::  31%|███       | 156/500 [00:07<00:17, 19.93it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 18.95it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:24, 13.96it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:21, 15.73it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:20, 16.60it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:17, 18.45it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:17, 18.43it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.62it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:16, 19.37it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:17, 18.56it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.77it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.57it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.21it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 20.30it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.89it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 21.02it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.54it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.84it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 14.85it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:19, 14.80it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:19, 14.62it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.14it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.66it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:22, 12.67it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 14.90it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:20, 13.25it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:16, 16.41it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:15, 17.15it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:12, 20.80it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:12, 21.25it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:11, 23.34it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 22.69it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:14, 17.61it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 19.71it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:13, 19.30it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 20.58it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 21.88it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 21.98it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 21.99it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 20.64it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 20.17it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 19.49it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 20.24it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:12, 18.23it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.37it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 21.07it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:17, 11.99it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:14, 14.23it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.73it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 15.94it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:14, 14.27it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 16.35it/s]
eval model::  61%|██████    | 303/500 [00:16<00:10, 17.97it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 17.84it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 19.27it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.75it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 21.44it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 20.99it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 21.50it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 20.88it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 20.22it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:09, 18.99it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 20.29it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 21.69it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 19.74it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:09, 15.99it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:08, 18.14it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 18.70it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 20.08it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 21.32it/s]
eval model::  71%|███████   | 356/500 [00:18<00:07, 19.62it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:07, 20.08it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 18.87it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.96it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.33it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 19.07it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 19.95it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.92it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:05, 23.22it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 20.76it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:04, 24.22it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:07, 15.44it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 17.19it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 18.74it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 19.51it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 19.31it/s]
eval model::  81%|████████  | 403/500 [00:21<00:04, 20.32it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 20.31it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 20.75it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:04, 20.96it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 18.62it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 18.56it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:06, 12.38it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:05, 14.59it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:05, 14.09it/s]
eval model::  86%|████████▌ | 428/500 [00:22<00:04, 16.31it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 16.72it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 19.28it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:02, 21.55it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:03, 19.49it/s]
eval model::  89%|████████▊ | 443/500 [00:23<00:02, 21.29it/s]
eval model::  89%|████████▉ | 446/500 [00:23<00:02, 20.20it/s]
eval model::  90%|████████▉ | 449/500 [00:23<00:02, 18.91it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.67it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 23.19it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 23.65it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:01, 19.48it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:01, 17.62it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 17.99it/s]
eval model::  94%|█████████▍| 470/500 [00:24<00:01, 19.84it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 18.91it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 19.10it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 21.27it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 21.01it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 22.76it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 22.58it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 24.32it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 21.23it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 20.84it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 23.80it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.06it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:51,  9.61it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 18.72it/s]
eval model::   1%|▏         | 7/500 [00:00<00:23, 20.88it/s]
eval model::   2%|▏         | 10/500 [00:00<00:26, 18.83it/s]
eval model::   2%|▏         | 12/500 [00:00<00:27, 17.52it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.62it/s]
eval model::   4%|▎         | 18/500 [00:00<00:21, 22.05it/s]
eval model::   4%|▍         | 21/500 [00:01<00:22, 21.65it/s]
eval model::   5%|▍         | 24/500 [00:01<00:20, 23.23it/s]
eval model::   5%|▌         | 27/500 [00:01<00:23, 20.36it/s]
eval model::   6%|▌         | 30/500 [00:01<00:23, 20.05it/s]
eval model::   7%|▋         | 33/500 [00:01<00:25, 18.37it/s]
eval model::   7%|▋         | 35/500 [00:01<00:28, 16.19it/s]
eval model::   8%|▊         | 38/500 [00:02<00:27, 16.73it/s]
eval model::   8%|▊         | 40/500 [00:02<00:28, 16.26it/s]
eval model::   8%|▊         | 42/500 [00:02<00:30, 14.82it/s]
eval model::   9%|▉         | 44/500 [00:02<00:28, 15.83it/s]
eval model::   9%|▉         | 46/500 [00:02<00:28, 15.90it/s]
eval model::  10%|▉         | 49/500 [00:02<00:24, 18.62it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 19.17it/s]
eval model::  11%|█         | 54/500 [00:02<00:23, 19.35it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:21, 20.71it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.65it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 15.07it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 17.36it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.53it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 21.20it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 21.75it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.22it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.26it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.19it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.47it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.52it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.04it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 18.90it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:21, 18.99it/s]
eval model::  20%|██        | 100/500 [00:05<00:23, 17.02it/s]
eval model::  20%|██        | 102/500 [00:05<00:22, 17.63it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 20.41it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.21it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 20.90it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:18, 20.47it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:19, 20.07it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.53it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.50it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.44it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.21it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:21, 16.93it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 18.39it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:19, 19.03it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.05it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.70it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 20.19it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.17it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 21.07it/s]
eval model::  31%|███       | 156/500 [00:08<00:15, 21.68it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 20.39it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:22, 14.93it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:21, 15.66it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:19, 16.85it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:20, 16.52it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:19, 16.91it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 16.65it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.97it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.48it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:19, 16.79it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:18, 17.04it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.34it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:14, 20.78it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 21.47it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 21.12it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:13, 22.80it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 22.92it/s]
eval model::  41%|████      | 205/500 [00:10<00:18, 15.81it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:18, 16.19it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 15.75it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:16, 17.31it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.13it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.51it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.59it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:21, 13.14it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:16, 16.30it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 16.72it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 19.43it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.59it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 19.68it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 20.08it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 17.76it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 19.35it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.98it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 19.90it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 20.77it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.94it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 21.83it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:11, 21.29it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 18.23it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:12, 18.49it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:13, 16.75it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:13, 17.10it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:13, 16.85it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.07it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 20.87it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 21.02it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:20, 10.18it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:16, 12.72it/s]
eval model::  59%|█████▊    | 293/500 [00:16<00:14, 14.11it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:17, 11.80it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:14, 14.05it/s]
eval model::  60%|██████    | 300/500 [00:16<00:14, 13.82it/s]
eval model::  61%|██████    | 303/500 [00:16<00:12, 16.13it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 16.59it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:10, 17.83it/s]
eval model::  62%|██████▏   | 311/500 [00:17<00:09, 19.23it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:10, 18.12it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:10, 18.29it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:09, 19.24it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:10, 17.34it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:10, 17.48it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 19.46it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:09, 18.96it/s]
eval model::  66%|██████▌   | 330/500 [00:18<00:09, 18.47it/s]
eval model::  66%|██████▋   | 332/500 [00:18<00:09, 18.16it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:07, 20.92it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:07, 20.52it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:10, 15.47it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:08, 17.48it/s]
eval model::  70%|██████▉   | 348/500 [00:19<00:07, 19.11it/s]
eval model::  70%|███████   | 351/500 [00:19<00:07, 20.60it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 19.96it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 19.72it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 17.64it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.34it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:08, 16.60it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:06, 19.56it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:06, 19.33it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:06, 20.34it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:05, 22.23it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 20.19it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:07, 14.34it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:06, 16.60it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.64it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.19it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 19.81it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 18.77it/s]
eval model::  81%|████████  | 404/500 [00:22<00:04, 19.94it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 21.43it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:03, 22.62it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:03, 22.57it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:03, 23.03it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:03, 22.44it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 14.76it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.89it/s]
eval model::  85%|████████▌ | 427/500 [00:23<00:04, 16.89it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 19.09it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 19.09it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:03, 21.23it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 21.80it/s]
eval model::  88%|████████▊ | 442/500 [00:24<00:02, 21.57it/s]
eval model::  89%|████████▉ | 445/500 [00:24<00:02, 22.68it/s]
eval model::  90%|████████▉ | 448/500 [00:24<00:02, 20.60it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 20.30it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 19.49it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:02, 21.50it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 21.17it/s]
eval model::  93%|█████████▎| 463/500 [00:25<00:02, 17.32it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:02, 16.54it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:01, 17.04it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 19.20it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 20.40it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 21.39it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:00, 22.01it/s]
eval model::  96%|█████████▋| 482/500 [00:26<00:00, 22.18it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 23.43it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 24.03it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 20.62it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 22.16it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 25.83it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.71it/s]
======================= Modified FLAGS detected =======================
FLAGS(name='FLAGS_selected_gpus', current_value='4', default_value='')
FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False)
=======================================================================
I0727 21:45:51.165014   266 tcp_utils.cc:107] Retry to connect to 127.0.0.1:49703 while the server is not yet listening.
I0727 21:45:54.165135   266 tcp_utils.cc:130] Successfully connected to 127.0.0.1:49703
I0727 21:45:54.194258   266 process_group_nccl.cc:120] ProcessGroupNCCL pg_timeout_ 1800000
W0727 21:45:54.204535   266 gpu_resources.cc:119] Please NOTE: device: 4, GPU Compute Capability: 90.2, Driver API Version: 50724.2, Runtime API Version: 50724.2

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:36, 13.67it/s]
eval model::   1%|          | 4/500 [00:00<00:31, 15.96it/s]
eval model::   1%|          | 6/500 [00:00<00:30, 16.41it/s]
eval model::   2%|▏         | 9/500 [00:00<00:26, 18.51it/s]
eval model::   2%|▏         | 12/500 [00:00<00:24, 20.17it/s]
eval model::   3%|▎         | 15/500 [00:00<00:22, 21.37it/s]
eval model::   4%|▎         | 18/500 [00:00<00:21, 22.16it/s]
eval model::   4%|▍         | 21/500 [00:01<00:22, 21.31it/s]
eval model::   5%|▌         | 25/500 [00:01<00:20, 23.39it/s]
eval model::   6%|▌         | 28/500 [00:01<00:19, 24.62it/s]
eval model::   6%|▌         | 31/500 [00:01<00:19, 23.64it/s]
eval model::   7%|▋         | 35/500 [00:01<00:18, 25.43it/s]
eval model::   8%|▊         | 38/500 [00:01<00:19, 23.20it/s]
eval model::   8%|▊         | 41/500 [00:01<00:20, 22.42it/s]
eval model::   9%|▉         | 44/500 [00:02<00:19, 22.82it/s]
eval model::   9%|▉         | 47/500 [00:02<00:19, 23.13it/s]
eval model::  10%|█         | 50/500 [00:02<00:18, 24.16it/s]
eval model::  11%|█         | 53/500 [00:02<00:19, 23.22it/s]
eval model::  11%|█         | 56/500 [00:02<00:19, 22.29it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:23, 18.94it/s]
eval model::  12%|█▏        | 61/500 [00:02<00:24, 18.26it/s]
eval model::  13%|█▎        | 63/500 [00:02<00:23, 18.50it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:22, 19.49it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:22, 18.86it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:22, 18.89it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:23, 17.96it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:23, 18.13it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:23, 18.29it/s]
eval model::  16%|█▌        | 80/500 [00:03<00:21, 19.48it/s]
eval model::  17%|█▋        | 83/500 [00:03<00:19, 21.09it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:19, 21.25it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:19, 20.89it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:20, 19.86it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:21, 18.78it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:21, 18.97it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:22, 17.90it/s]
eval model::  20%|██        | 101/500 [00:04<00:22, 17.99it/s]
eval model::  21%|██        | 103/500 [00:05<00:21, 18.09it/s]
eval model::  21%|██        | 105/500 [00:05<00:21, 18.17it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:22, 17.16it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:21, 18.19it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:21, 18.36it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:20, 19.16it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:21, 17.73it/s]
eval model::  24%|██▍       | 120/500 [00:05<00:19, 19.03it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 19.99it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:19, 19.60it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:19, 19.10it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:18, 19.79it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:18, 19.80it/s]
eval model::  27%|██▋       | 137/500 [00:06<00:16, 21.48it/s]
eval model::  28%|██▊       | 140/500 [00:06<00:16, 22.19it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:16, 21.72it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:16, 22.11it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:16, 21.15it/s]
eval model::  30%|███       | 152/500 [00:07<00:17, 19.55it/s]
eval model::  31%|███       | 155/500 [00:07<00:16, 20.97it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:17, 19.62it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:17, 18.91it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:16, 20.14it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 19.51it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 19.92it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:16, 19.61it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:18, 17.54it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:17, 18.05it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:17, 18.56it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:15, 20.00it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 19.73it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 19.31it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:16, 18.70it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:15, 19.90it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:17, 17.71it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:15, 19.31it/s]
eval model::  40%|████      | 200/500 [00:10<00:16, 18.69it/s]
eval model::  40%|████      | 202/500 [00:10<00:15, 18.91it/s]
eval model::  41%|████      | 205/500 [00:10<00:20, 14.22it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:17, 16.45it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:16, 17.54it/s]
eval model::  43%|████▎     | 214/500 [00:10<00:15, 18.81it/s]
eval model::  43%|████▎     | 216/500 [00:10<00:15, 18.18it/s]
eval model::  44%|████▎     | 218/500 [00:11<00:15, 18.29it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:15, 18.60it/s]
eval model::  45%|████▍     | 223/500 [00:11<00:15, 18.09it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:13, 19.70it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:13, 20.78it/s]
eval model::  46%|████▋     | 232/500 [00:11<00:14, 18.91it/s]
eval model::  47%|████▋     | 235/500 [00:11<00:12, 20.79it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 21.96it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:12, 21.14it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:11, 22.36it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:10, 23.82it/s]
eval model::  50%|█████     | 250/500 [00:12<00:12, 20.76it/s]
eval model::  51%|█████     | 253/500 [00:12<00:11, 20.71it/s]
eval model::  51%|█████     | 256/500 [00:12<00:11, 21.39it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:14, 17.15it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:12, 18.97it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:12, 18.59it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:11, 20.22it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:12, 18.45it/s]
eval model::  55%|█████▍    | 274/500 [00:13<00:11, 20.17it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:11, 19.32it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:11, 19.90it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:10, 19.99it/s]
eval model::  57%|█████▋    | 286/500 [00:14<00:11, 18.06it/s]
eval model::  58%|█████▊    | 289/500 [00:14<00:11, 19.12it/s]
eval model::  58%|█████▊    | 292/500 [00:14<00:10, 20.62it/s]
eval model::  59%|█████▉    | 295/500 [00:14<00:11, 18.48it/s]
eval model::  60%|█████▉    | 298/500 [00:15<00:10, 19.16it/s]
eval model::  60%|██████    | 300/500 [00:15<00:10, 18.70it/s]
eval model::  61%|██████    | 303/500 [00:15<00:09, 20.70it/s]
eval model::  61%|██████    | 306/500 [00:15<00:09, 20.55it/s]
eval model::  62%|██████▏   | 309/500 [00:15<00:09, 20.95it/s]
eval model::  62%|██████▏   | 312/500 [00:15<00:08, 21.14it/s]
eval model::  63%|██████▎   | 315/500 [00:15<00:09, 20.14it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 21.21it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:08, 21.55it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:07, 22.58it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:08, 21.48it/s]
eval model::  66%|██████▌   | 330/500 [00:16<00:07, 22.13it/s]
eval model::  67%|██████▋   | 333/500 [00:16<00:07, 23.08it/s]
eval model::  67%|██████▋   | 336/500 [00:16<00:07, 21.10it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 20.65it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:08, 17.58it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:08, 18.47it/s]
eval model::  70%|██████▉   | 348/500 [00:17<00:07, 19.86it/s]
eval model::  70%|███████   | 351/500 [00:17<00:07, 20.11it/s]
eval model::  71%|███████   | 354/500 [00:17<00:07, 20.44it/s]
eval model::  71%|███████▏  | 357/500 [00:17<00:07, 20.04it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:07, 19.24it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:07, 19.00it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 17.63it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 17.74it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:05, 21.75it/s]
eval model::  75%|███████▍  | 373/500 [00:18<00:05, 22.29it/s]
eval model::  75%|███████▌  | 376/500 [00:18<00:05, 22.56it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 20.42it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 21.48it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 21.17it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:05, 20.17it/s]
eval model::  78%|███████▊  | 391/500 [00:19<00:05, 20.48it/s]
eval model::  79%|███████▉  | 394/500 [00:19<00:05, 20.79it/s]
eval model::  79%|███████▉  | 397/500 [00:19<00:04, 21.51it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 19.82it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 20.22it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 20.10it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:04, 20.29it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:04, 19.70it/s]
eval model::  83%|████████▎ | 415/500 [00:20<00:04, 19.96it/s]
eval model::  84%|████████▎ | 418/500 [00:20<00:04, 19.41it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 18.62it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:03, 19.45it/s]
eval model::  85%|████████▌ | 425/500 [00:21<00:04, 18.63it/s]
eval model::  86%|████████▌ | 428/500 [00:21<00:03, 20.58it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 21.52it/s]
eval model::  87%|████████▋ | 434/500 [00:21<00:03, 21.19it/s]
eval model::  87%|████████▋ | 437/500 [00:21<00:03, 20.54it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:03, 18.92it/s]
eval model::  89%|████████▊ | 443/500 [00:22<00:02, 20.30it/s]
eval model::  89%|████████▉ | 446/500 [00:22<00:02, 19.81it/s]
eval model::  90%|████████▉ | 449/500 [00:22<00:02, 18.85it/s]
eval model::  90%|█████████ | 452/500 [00:22<00:02, 20.64it/s]
eval model::  91%|█████████ | 455/500 [00:22<00:02, 20.96it/s]
eval model::  92%|█████████▏| 458/500 [00:22<00:02, 20.84it/s]
eval model::  92%|█████████▏| 461/500 [00:23<00:01, 20.97it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:01, 20.90it/s]
eval model::  93%|█████████▎| 467/500 [00:23<00:01, 19.76it/s]
eval model::  94%|█████████▍| 470/500 [00:23<00:01, 19.52it/s]
eval model::  94%|█████████▍| 472/500 [00:23<00:01, 18.42it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 18.77it/s]
eval model::  95%|█████████▌| 477/500 [00:23<00:01, 18.91it/s]
eval model::  96%|█████████▌| 479/500 [00:24<00:01, 19.06it/s]
eval model::  96%|█████████▋| 482/500 [00:24<00:00, 19.67it/s]
eval model::  97%|█████████▋| 485/500 [00:24<00:00, 21.22it/s]
eval model::  98%|█████████▊| 488/500 [00:24<00:00, 20.61it/s]
eval model::  98%|█████████▊| 491/500 [00:24<00:00, 19.99it/s]
eval model::  99%|█████████▉| 494/500 [00:24<00:00, 20.93it/s]
eval model::  99%|█████████▉| 497/500 [00:24<00:00, 21.46it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 21.96it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.97it/s]
======================= Modified FLAGS detected =======================
FLAGS(name='FLAGS_selected_gpus', current_value='4', default_value='')
FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False)
=======================================================================
I0727 21:53:51.935899 33072 tcp_utils.cc:130] Successfully connected to 127.0.0.1:49894
I0727 21:53:52.007228 33072 process_group_nccl.cc:120] ProcessGroupNCCL pg_timeout_ 1800000
W0727 21:53:52.017679 33072 gpu_resources.cc:119] Please NOTE: device: 4, GPU Compute Capability: 90.2, Driver API Version: 50724.2, Runtime API Version: 50724.2

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:56,  8.78it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 18.95it/s]
eval model::   1%|          | 6/500 [00:00<00:26, 18.52it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 18.06it/s]
eval model::   2%|▏         | 10/500 [00:00<00:32, 15.10it/s]
eval model::   2%|▏         | 12/500 [00:00<00:34, 14.25it/s]
eval model::   3%|▎         | 14/500 [00:00<00:36, 13.32it/s]
eval model::   3%|▎         | 17/500 [00:01<00:29, 16.38it/s]
eval model::   4%|▍         | 19/500 [00:01<00:30, 15.96it/s]
eval model::   4%|▍         | 21/500 [00:01<00:28, 16.69it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.05it/s]
eval model::   5%|▌         | 27/500 [00:01<00:24, 18.96it/s]
eval model::   6%|▌         | 29/500 [00:01<00:25, 18.63it/s]
eval model::   6%|▌         | 31/500 [00:01<00:27, 17.12it/s]
eval model::   7%|▋         | 33/500 [00:01<00:26, 17.34it/s]
eval model::   7%|▋         | 35/500 [00:02<00:26, 17.82it/s]
eval model::   8%|▊         | 38/500 [00:02<00:23, 19.78it/s]
eval model::   8%|▊         | 40/500 [00:02<00:23, 19.45it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.82it/s]
eval model::   9%|▉         | 45/500 [00:02<00:25, 18.08it/s]
eval model::   9%|▉         | 47/500 [00:02<00:25, 17.52it/s]
eval model::  10%|█         | 50/500 [00:02<00:24, 18.53it/s]
eval model::  10%|█         | 52/500 [00:02<00:24, 18.26it/s]
eval model::  11%|█         | 54/500 [00:03<00:26, 16.93it/s]
eval model::  11%|█         | 56/500 [00:03<00:26, 16.94it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:26, 16.75it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:25, 17.53it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:24, 17.98it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:20, 20.93it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:17, 24.89it/s]
eval model::  15%|█▍        | 73/500 [00:04<00:19, 22.43it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:19, 21.90it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:21, 19.85it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:20, 20.15it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 20.21it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 20.24it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:21, 19.12it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:21, 19.29it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:21, 19.13it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:19, 20.20it/s]
eval model::  20%|██        | 101/500 [00:05<00:19, 20.19it/s]
eval model::  21%|██        | 104/500 [00:05<00:17, 22.35it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 21.70it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:16, 23.49it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:18, 20.93it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:18, 20.58it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:18, 20.29it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:18, 20.42it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:18, 20.82it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:17, 20.87it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:18, 19.69it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:17, 21.18it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:17, 20.34it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:17, 20.41it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:18, 19.21it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 18.78it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.10it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.55it/s]
eval model::  30%|███       | 152/500 [00:07<00:18, 18.59it/s]
eval model::  31%|███       | 155/500 [00:08<00:16, 20.83it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 21.34it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:16, 20.79it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:15, 21.41it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 20.09it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 21.70it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:16, 20.10it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:16, 20.20it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:14, 22.18it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:16, 19.09it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:14, 21.09it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:15, 20.04it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:15, 19.49it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:15, 19.18it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:15, 19.24it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 20.97it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 21.89it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 15.51it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:17, 16.67it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:17, 16.50it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:15, 18.92it/s]
eval model::  43%|████▎     | 216/500 [00:11<00:16, 17.56it/s]
eval model::  44%|████▎     | 218/500 [00:11<00:17, 16.15it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:16, 17.39it/s]
eval model::  45%|████▍     | 223/500 [00:11<00:16, 17.23it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:14, 18.98it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:12, 20.98it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 21.62it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 21.29it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 22.59it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 22.65it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:11, 21.58it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:12, 20.60it/s]
eval model::  50%|█████     | 250/500 [00:12<00:12, 19.72it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 21.89it/s]
eval model::  51%|█████     | 256/500 [00:13<00:10, 22.59it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:13, 17.45it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:13, 17.47it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:14, 16.57it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:13, 17.14it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:13, 17.34it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.04it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.56it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.82it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 21.63it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 21.92it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:11, 18.62it/s]
eval model::  58%|█████▊    | 290/500 [00:14<00:10, 20.95it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:10, 20.46it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:10, 19.38it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 19.94it/s]
eval model::  60%|██████    | 302/500 [00:15<00:10, 18.61it/s]
eval model::  61%|██████    | 305/500 [00:15<00:09, 20.09it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:09, 19.81it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.15it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 20.20it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 20.60it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 20.80it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 19.81it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:08, 19.91it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:08, 20.07it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:09, 18.64it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 20.78it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 21.57it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:07, 20.19it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:07, 21.18it/s]
eval model::  70%|██████▉   | 348/500 [00:17<00:07, 19.26it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 18.83it/s]
eval model::  71%|███████   | 353/500 [00:18<00:07, 20.23it/s]
eval model::  71%|███████   | 356/500 [00:18<00:07, 18.87it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:07, 20.01it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:07, 19.15it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 18.30it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:06, 19.44it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 20.95it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 20.23it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:06, 19.08it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:06, 19.39it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 20.74it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 21.28it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:06, 18.10it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:05, 19.38it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 20.02it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:04, 20.77it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 19.68it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 20.79it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 19.51it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:04, 20.14it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:04, 19.71it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 19.09it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 17.66it/s]
eval model::  84%|████████▍ | 419/500 [00:21<00:04, 17.67it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:05, 15.36it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 16.93it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.58it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 19.56it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 20.83it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:03, 20.58it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:02, 21.48it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:02, 20.92it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 21.79it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 21.58it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 20.23it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 22.72it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 22.78it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 21.90it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 19.73it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:01, 19.09it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 20.20it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 20.24it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 20.57it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 20.55it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 21.58it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 21.37it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 21.85it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 20.27it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 20.68it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 20.44it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 20.74it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.63it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:59,  8.40it/s]
eval model::   1%|          | 3/500 [00:00<00:35, 14.01it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.06it/s]
eval model::   2%|▏         | 9/500 [00:00<00:26, 18.77it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.72it/s]
eval model::   3%|▎         | 13/500 [00:00<00:30, 16.22it/s]
eval model::   3%|▎         | 15/500 [00:00<00:28, 16.73it/s]
eval model::   4%|▎         | 18/500 [00:01<00:25, 18.96it/s]
eval model::   4%|▍         | 20/500 [00:01<00:26, 18.29it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.25it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.14it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 20.27it/s]
eval model::   6%|▋         | 32/500 [00:01<00:25, 18.45it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 19.33it/s]
eval model::   7%|▋         | 37/500 [00:02<00:23, 19.46it/s]
eval model::   8%|▊         | 39/500 [00:02<00:24, 18.47it/s]
eval model::   8%|▊         | 42/500 [00:02<00:24, 18.57it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.26it/s]
eval model::   9%|▉         | 47/500 [00:02<00:24, 18.79it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 20.72it/s]
eval model::  11%|█         | 53/500 [00:02<00:20, 21.78it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 21.04it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:21, 20.52it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:25, 17.36it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:26, 16.67it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 19.25it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:21, 20.12it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:21, 19.50it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:20, 21.10it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:20, 20.61it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:20, 20.70it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 21.15it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:19, 21.29it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:21, 19.40it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 20.11it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:19, 21.11it/s]
eval model::  20%|██        | 100/500 [00:05<00:19, 20.62it/s]
eval model::  21%|██        | 103/500 [00:05<00:20, 19.85it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 19.83it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:19, 20.16it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:20, 19.10it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 20.39it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 20.75it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.31it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 19.81it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 20.37it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:18, 19.79it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:18, 20.01it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:17, 20.62it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.99it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.64it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.62it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 19.62it/s]
eval model::  30%|███       | 151/500 [00:07<00:18, 18.43it/s]
eval model::  31%|███       | 154/500 [00:07<00:16, 20.47it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:16, 20.98it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:18, 18.55it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:17, 19.66it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:16, 19.93it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 20.39it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 20.15it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:16, 19.25it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:15, 20.83it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:16, 19.69it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:14, 21.31it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 19.71it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:14, 21.24it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:15, 19.43it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:16, 18.60it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:15, 19.58it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 20.25it/s]
eval model::  41%|████      | 205/500 [00:10<00:21, 13.83it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:19, 14.88it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:18, 15.41it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:16, 17.38it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:17, 16.20it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 15.49it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.39it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:16, 17.22it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:13, 19.69it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:13, 20.60it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:11, 23.37it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:11, 22.78it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 23.08it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:10, 24.16it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:12, 21.25it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 22.52it/s]
eval model::  50%|█████     | 250/500 [00:12<00:11, 21.23it/s]
eval model::  51%|█████     | 253/500 [00:12<00:11, 21.62it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 21.13it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:11, 21.33it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:12, 18.91it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:13, 17.95it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 20.15it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:11, 19.85it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:12, 17.86it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 18.93it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.65it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.56it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:14, 14.39it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:12, 16.43it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 18.49it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 18.28it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:10, 18.89it/s]
eval model::  60%|██████    | 300/500 [00:15<00:10, 19.67it/s]
eval model::  61%|██████    | 303/500 [00:15<00:09, 20.65it/s]
eval model::  61%|██████    | 306/500 [00:15<00:09, 20.94it/s]
eval model::  62%|██████▏   | 309/500 [00:15<00:09, 20.79it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:08, 21.18it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:08, 22.20it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:07, 23.44it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:07, 23.91it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:08, 21.43it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:08, 21.11it/s]
eval model::  66%|██████▌   | 330/500 [00:16<00:08, 21.24it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 21.54it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 20.99it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 21.06it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:08, 18.22it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:07, 19.39it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:06, 23.25it/s]
eval model::  70%|███████   | 352/500 [00:17<00:06, 22.48it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 21.79it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 20.55it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:07, 19.79it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 18.64it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 18.09it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 19.18it/s]
eval model::  74%|███████▍  | 372/500 [00:18<00:06, 20.37it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.83it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:05, 23.03it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 21.43it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 21.80it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:06, 17.05it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:05, 18.66it/s]
eval model::  79%|███████▊  | 393/500 [00:19<00:05, 20.79it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 19.29it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:04, 20.84it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 20.87it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 20.60it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:04, 20.56it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:04, 20.33it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:04, 19.98it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 20.31it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 18.83it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:03, 19.66it/s]
eval model::  85%|████████▌ | 426/500 [00:21<00:03, 19.84it/s]
eval model::  86%|████████▌ | 429/500 [00:21<00:03, 22.02it/s]
eval model::  86%|████████▋ | 432/500 [00:21<00:03, 22.06it/s]
eval model::  87%|████████▋ | 435/500 [00:21<00:02, 22.55it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:02, 21.75it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:02, 20.26it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 19.76it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 19.71it/s]
eval model::  90%|████████▉ | 449/500 [00:22<00:02, 18.29it/s]
eval model::  90%|█████████ | 452/500 [00:22<00:02, 19.30it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:02, 21.13it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:02, 20.54it/s]
eval model::  92%|█████████▏| 461/500 [00:23<00:01, 20.21it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:01, 18.78it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:01, 17.24it/s]
eval model::  94%|█████████▍| 469/500 [00:23<00:01, 19.63it/s]
eval model::  94%|█████████▍| 472/500 [00:23<00:01, 21.36it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 20.46it/s]
eval model::  96%|█████████▌| 479/500 [00:24<00:00, 22.35it/s]
eval model::  96%|█████████▋| 482/500 [00:24<00:00, 21.31it/s]
eval model::  97%|█████████▋| 485/500 [00:24<00:00, 21.93it/s]
eval model::  98%|█████████▊| 488/500 [00:24<00:00, 20.43it/s]
eval model::  98%|█████████▊| 491/500 [00:24<00:00, 19.29it/s]
eval model::  99%|█████████▉| 494/500 [00:24<00:00, 20.66it/s]
eval model::  99%|█████████▉| 497/500 [00:25<00:00, 21.04it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 22.69it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.85it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:36, 13.54it/s]
eval model::   1%|          | 5/500 [00:00<00:24, 20.02it/s]
eval model::   2%|▏         | 8/500 [00:00<00:25, 18.99it/s]
eval model::   2%|▏         | 11/500 [00:00<00:24, 19.76it/s]
eval model::   3%|▎         | 14/500 [00:00<00:23, 20.50it/s]
eval model::   3%|▎         | 17/500 [00:00<00:21, 22.78it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.56it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.48it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 19.92it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 21.70it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.78it/s]
eval model::   7%|▋         | 36/500 [00:01<00:21, 21.41it/s]
eval model::   8%|▊         | 39/500 [00:01<00:22, 20.23it/s]
eval model::   8%|▊         | 42/500 [00:02<00:24, 18.95it/s]
eval model::   9%|▉         | 44/500 [00:02<00:23, 19.12it/s]
eval model::   9%|▉         | 46/500 [00:02<00:25, 17.56it/s]
eval model::  10%|▉         | 49/500 [00:02<00:22, 19.66it/s]
eval model::  10%|█         | 52/500 [00:02<00:22, 19.75it/s]
eval model::  11%|█         | 55/500 [00:02<00:23, 18.86it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:23, 18.77it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:25, 16.94it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.50it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.61it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 19.73it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 20.35it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 21.65it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:20, 20.62it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.16it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:22, 18.82it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.16it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:23, 17.39it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:24, 16.87it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:22, 17.90it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:20, 19.97it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.39it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 19.88it/s]
eval model::  21%|██        | 106/500 [00:05<00:20, 19.60it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:20, 19.34it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:22, 17.59it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:19, 19.47it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:21, 18.07it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:18, 20.77it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:18, 20.41it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:19, 19.20it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:17, 20.87it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:18, 20.34it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:17, 20.79it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:17, 21.28it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:16, 21.18it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.22it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:16, 21.95it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:15, 22.77it/s]
eval model::  30%|███       | 152/500 [00:07<00:18, 19.04it/s]
eval model::  31%|███       | 155/500 [00:07<00:16, 20.51it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 20.66it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:18, 17.90it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:17, 19.64it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 20.59it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 21.65it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:15, 20.80it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:17, 18.82it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:15, 20.76it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:17, 18.24it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:16, 19.58it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:15, 20.68it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:14, 20.77it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:15, 20.20it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:15, 19.23it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 20.87it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 21.51it/s]
eval model::  41%|████      | 206/500 [00:10<00:20, 14.07it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:19, 14.68it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:19, 14.68it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.48it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.07it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 15.05it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:15, 17.68it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:16, 16.59it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 19.43it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:13, 19.96it/s]
eval model::  46%|████▋     | 232/500 [00:11<00:11, 23.39it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:11, 22.12it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 23.48it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:10, 24.26it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:11, 21.96it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 21.96it/s]
eval model::  50%|█████     | 250/500 [00:12<00:13, 19.08it/s]
eval model::  51%|█████     | 253/500 [00:12<00:11, 20.96it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 21.60it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:10, 22.10it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:11, 20.48it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:11, 20.04it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:10, 21.26it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:11, 20.68it/s]
eval model::  55%|█████▍    | 274/500 [00:13<00:10, 20.81it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:11, 19.53it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 18.61it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.32it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:15, 14.30it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:12, 16.86it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:11, 18.74it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 18.22it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:11, 17.42it/s]
eval model::  60%|██████    | 300/500 [00:15<00:11, 16.83it/s]
eval model::  60%|██████    | 302/500 [00:15<00:11, 16.68it/s]
eval model::  61%|██████    | 304/500 [00:15<00:11, 16.95it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:09, 19.50it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 20.30it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 19.61it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 19.52it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 22.07it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 20.65it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:07, 22.01it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:08, 20.36it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.17it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 22.03it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:07, 20.60it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:08, 17.83it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:07, 19.75it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:07, 21.04it/s]
eval model::  70%|███████   | 350/500 [00:17<00:07, 20.88it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 21.15it/s]
eval model::  71%|███████   | 356/500 [00:18<00:06, 20.77it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 22.14it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:06, 21.58it/s]
eval model::  73%|███████▎  | 365/500 [00:18<00:06, 20.02it/s]
eval model::  74%|███████▎  | 368/500 [00:18<00:06, 20.60it/s]
eval model::  74%|███████▍  | 371/500 [00:18<00:06, 19.86it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:05, 21.07it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 20.59it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:06, 18.91it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:05, 20.18it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:07, 14.34it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:07, 15.68it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 16.87it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 16.73it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:06, 17.22it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:05, 19.06it/s]
eval model::  80%|████████  | 402/500 [00:20<00:05, 16.79it/s]
eval model::  81%|████████  | 405/500 [00:20<00:05, 18.38it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 19.95it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 20.88it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 22.85it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 20.61it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 17.84it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 17.07it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 17.47it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 17.84it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 19.38it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 20.87it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:02, 21.81it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:02, 23.34it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:02, 19.81it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 20.60it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 21.92it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 20.90it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 22.42it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:01, 22.29it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:01, 23.05it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:01, 21.17it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 18.96it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 20.45it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 20.57it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 19.77it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 20.90it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 21.81it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 23.39it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 20.95it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 21.39it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 21.31it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 22.06it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 25.03it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.71it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:39, 12.58it/s]
eval model::   1%|          | 5/500 [00:00<00:27, 17.79it/s]
eval model::   2%|▏         | 8/500 [00:00<00:25, 19.00it/s]
eval model::   2%|▏         | 10/500 [00:00<00:25, 19.10it/s]
eval model::   2%|▏         | 12/500 [00:00<00:26, 18.64it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.89it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.87it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.21it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.34it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.12it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 20.06it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 18.85it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.27it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.74it/s]
eval model::   8%|▊         | 40/500 [00:02<00:23, 19.75it/s]
eval model::   9%|▊         | 43/500 [00:02<00:22, 19.89it/s]
eval model::   9%|▉         | 46/500 [00:02<00:22, 20.04it/s]
eval model::  10%|▉         | 49/500 [00:02<00:21, 20.83it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 20.47it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 20.65it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:21, 20.38it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:24, 17.78it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.57it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.41it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.08it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.73it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 21.31it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.55it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.84it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.44it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 20.23it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.47it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 19.14it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:21, 18.90it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:19, 20.67it/s]
eval model::  20%|██        | 101/500 [00:05<00:20, 19.16it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 20.80it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:19, 20.20it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:19, 19.68it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:19, 19.61it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:19, 19.53it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 20.13it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:21, 17.70it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.78it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 19.85it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 18.64it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:18, 20.12it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:18, 20.14it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.57it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.38it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.13it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 19.75it/s]
eval model::  30%|███       | 151/500 [00:07<00:18, 18.53it/s]
eval model::  31%|███       | 154/500 [00:07<00:16, 20.72it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:15, 21.61it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:17, 19.42it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:16, 20.01it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:15, 21.04it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 18.88it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 19.74it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:16, 20.20it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:15, 21.18it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:16, 19.29it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:14, 21.45it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 20.48it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 20.22it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:14, 21.15it/s]
eval model::  39%|███▉      | 196/500 [00:09<00:15, 20.08it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 21.24it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 21.65it/s]
eval model::  41%|████      | 205/500 [00:10<00:20, 14.68it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:17, 16.40it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:17, 16.21it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:16, 17.65it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:17, 16.05it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 15.66it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:15, 18.02it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:15, 17.42it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:13, 19.83it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:13, 20.34it/s]
eval model::  46%|████▌     | 231/500 [00:11<00:12, 22.14it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:12, 20.71it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:12, 21.12it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 22.42it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:12, 21.36it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:11, 22.49it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:11, 21.23it/s]
eval model::  50%|█████     | 252/500 [00:12<00:12, 19.59it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 21.24it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 21.39it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:12, 19.41it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:12, 18.91it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:12, 19.08it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:11, 20.21it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:11, 19.20it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 19.42it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.61it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.18it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:14, 14.37it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:12, 16.89it/s]
eval model::  58%|█████▊    | 292/500 [00:14<00:10, 20.14it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:11, 18.36it/s]
eval model::  60%|█████▉    | 298/500 [00:15<00:10, 19.92it/s]
eval model::  60%|██████    | 301/500 [00:15<00:10, 19.68it/s]
eval model::  61%|██████    | 304/500 [00:15<00:09, 20.36it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:09, 21.20it/s]
eval model::  62%|██████▏   | 310/500 [00:15<00:09, 20.70it/s]
eval model::  63%|██████▎   | 313/500 [00:15<00:08, 21.83it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:08, 21.31it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 21.48it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:08, 19.90it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:08, 20.85it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:08, 19.92it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:07, 21.13it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 20.85it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 19.10it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:09, 16.27it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:08, 18.45it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 19.99it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:06, 22.09it/s]
eval model::  70%|███████   | 352/500 [00:17<00:06, 21.41it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 19.86it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:07, 19.82it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:07, 19.56it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 18.54it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:07, 18.45it/s]
eval model::  74%|███████▍  | 371/500 [00:18<00:06, 20.99it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:05, 21.80it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 20.66it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:05, 20.06it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:05, 21.57it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:07, 14.78it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:06, 17.41it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:05, 18.45it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 18.80it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:05, 20.10it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 21.32it/s]
eval model::  81%|████████  | 406/500 [00:20<00:03, 23.74it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:03, 23.70it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:03, 23.87it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 24.73it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:03, 20.95it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:04, 17.40it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 18.90it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 20.82it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 22.70it/s]
eval model::  87%|████████▋ | 434/500 [00:21<00:02, 23.33it/s]
eval model::  87%|████████▋ | 437/500 [00:22<00:02, 22.47it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:02, 20.05it/s]
eval model::  89%|████████▊ | 443/500 [00:22<00:02, 21.96it/s]
eval model::  89%|████████▉ | 446/500 [00:22<00:02, 20.84it/s]
eval model::  90%|████████▉ | 449/500 [00:22<00:02, 19.63it/s]
eval model::  90%|█████████ | 452/500 [00:22<00:02, 20.77it/s]
eval model::  91%|█████████ | 455/500 [00:22<00:02, 21.12it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:02, 20.39it/s]
eval model::  92%|█████████▏| 461/500 [00:23<00:01, 20.98it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:02, 17.80it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:01, 17.63it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 17.91it/s]
eval model::  94%|█████████▍| 472/500 [00:23<00:01, 20.04it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 20.25it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 20.90it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 20.39it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 19.00it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 18.45it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 19.61it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 19.72it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 20.52it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 21.71it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.78it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:43, 11.39it/s]
eval model::   1%|          | 4/500 [00:00<00:34, 14.38it/s]
eval model::   1%|          | 6/500 [00:00<00:31, 15.56it/s]
eval model::   2%|▏         | 8/500 [00:00<00:31, 15.43it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 16.98it/s]
eval model::   3%|▎         | 13/500 [00:00<00:29, 16.40it/s]
eval model::   3%|▎         | 16/500 [00:00<00:26, 18.42it/s]
eval model::   4%|▍         | 19/500 [00:01<00:24, 19.78it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 18.96it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.67it/s]
eval model::   5%|▌         | 27/500 [00:01<00:23, 20.33it/s]
eval model::   6%|▌         | 30/500 [00:01<00:20, 22.42it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.92it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 19.67it/s]
eval model::   8%|▊         | 39/500 [00:02<00:24, 18.48it/s]
eval model::   8%|▊         | 42/500 [00:02<00:24, 18.44it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.32it/s]
eval model::   9%|▉         | 47/500 [00:02<00:27, 16.68it/s]
eval model::  10%|█         | 50/500 [00:02<00:25, 17.36it/s]
eval model::  10%|█         | 52/500 [00:02<00:26, 16.86it/s]
eval model::  11%|█         | 55/500 [00:03<00:24, 18.29it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.51it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:23, 18.44it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:27, 15.79it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:27, 15.75it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:24, 17.33it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:22, 19.38it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 20.48it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:21, 19.94it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:21, 19.71it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.70it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 22.08it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:19, 20.94it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 17.94it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:23, 17.51it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 18.91it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:18, 21.26it/s]
eval model::  20%|██        | 102/500 [00:05<00:18, 21.45it/s]
eval model::  21%|██        | 106/500 [00:05<00:16, 24.46it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:16, 23.06it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 21.24it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:17, 21.73it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:17, 22.47it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.72it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:17, 21.30it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:16, 21.96it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:18, 19.70it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:18, 19.64it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:18, 19.36it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.52it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:20, 17.59it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:20, 17.36it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:19, 17.89it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:20, 17.51it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 19.00it/s]
eval model::  30%|███       | 152/500 [00:07<00:20, 17.16it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 19.42it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 21.24it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:19, 17.13it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 16.88it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:19, 16.81it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:20, 16.37it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:17, 19.27it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:16, 19.66it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.86it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.62it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:20, 15.44it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:17, 17.89it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 18.51it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:16, 19.29it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:15, 19.88it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.62it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 20.11it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 21.68it/s]
eval model::  41%|████      | 206/500 [00:10<00:19, 15.25it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:18, 15.61it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 15.97it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:16, 17.73it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:17, 15.88it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 15.31it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.87it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 15.55it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:15, 17.98it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:13, 19.56it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:12, 20.93it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:12, 21.06it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:11, 23.17it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 23.14it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:13, 19.35it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 20.43it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 19.86it/s]
eval model::  50%|█████     | 252/500 [00:13<00:13, 18.19it/s]
eval model::  51%|█████     | 255/500 [00:13<00:12, 19.83it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:12, 20.05it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 19.96it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:12, 19.30it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 19.93it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 20.82it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 20.35it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:12, 18.47it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.15it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.69it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:14, 14.48it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:12, 16.52it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:12, 17.15it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:11, 17.65it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.67it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:14, 14.51it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 16.82it/s]
eval model::  60%|██████    | 301/500 [00:16<00:12, 15.43it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.13it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.90it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:10, 18.75it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:09, 19.72it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 20.34it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 20.36it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:08, 20.87it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:08, 19.66it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:08, 20.24it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 19.10it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 19.00it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 20.65it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:07, 20.46it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:09, 16.46it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.86it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.81it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 20.26it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 20.97it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 20.51it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 19.39it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.83it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.34it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.97it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:07, 18.05it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:07, 17.64it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:07, 17.64it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 19.13it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:06, 19.66it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 21.21it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:04, 24.20it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:06, 17.05it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 17.85it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 18.24it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 19.14it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 19.18it/s]
eval model::  81%|████████  | 403/500 [00:21<00:04, 20.38it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 21.68it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 22.03it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:04, 20.87it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 21.07it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 18.22it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:04, 16.13it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 16.35it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.78it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.56it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 19.46it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 20.46it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:02, 22.68it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 25.81it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 25.78it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 22.62it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 21.71it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 21.72it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 21.04it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 22.21it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 20.27it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 17.67it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 16.99it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 19.56it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 21.03it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 19.56it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 21.81it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 22.37it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 22.93it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 20.64it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 22.37it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 21.95it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 23.07it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 24.68it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.23it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:30, 16.25it/s]
eval model::   1%|          | 5/500 [00:00<00:26, 18.63it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.89it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.87it/s]
eval model::   3%|▎         | 13/500 [00:00<00:27, 18.03it/s]
eval model::   3%|▎         | 15/500 [00:00<00:26, 18.45it/s]
eval model::   4%|▎         | 18/500 [00:00<00:22, 21.23it/s]
eval model::   4%|▍         | 21/500 [00:01<00:23, 20.12it/s]
eval model::   5%|▌         | 25/500 [00:01<00:21, 22.34it/s]
eval model::   6%|▌         | 28/500 [00:01<00:21, 22.26it/s]
eval model::   6%|▌         | 31/500 [00:01<00:23, 19.96it/s]
eval model::   7%|▋         | 34/500 [00:01<00:23, 19.47it/s]
eval model::   8%|▊         | 38/500 [00:01<00:21, 21.27it/s]
eval model::   8%|▊         | 41/500 [00:02<00:22, 20.70it/s]
eval model::   9%|▉         | 44/500 [00:02<00:22, 19.87it/s]
eval model::   9%|▉         | 47/500 [00:02<00:23, 18.95it/s]
eval model::  10%|█         | 50/500 [00:02<00:22, 19.72it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 19.46it/s]
eval model::  11%|█         | 55/500 [00:02<00:23, 18.78it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:23, 18.48it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:23, 18.58it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:25, 17.54it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:25, 17.39it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:21, 20.33it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:18, 22.79it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:18, 23.30it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 22.23it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:18, 22.36it/s]
eval model::  16%|█▌        | 81/500 [00:03<00:17, 23.65it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:17, 23.62it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:18, 22.36it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:19, 21.19it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:19, 21.15it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:17, 22.68it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:17, 22.66it/s]
eval model::  20%|██        | 102/500 [00:04<00:17, 22.26it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 22.24it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.27it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 20.10it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 21.64it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 20.69it/s]
eval model::  24%|██▍       | 120/500 [00:05<00:21, 17.95it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:19, 19.80it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.09it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.20it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:18, 19.88it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:16, 21.48it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:17, 20.50it/s]
eval model::  28%|██▊       | 141/500 [00:06<00:19, 18.16it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:19, 18.53it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 20.54it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:17, 19.56it/s]
eval model::  30%|███       | 152/500 [00:07<00:19, 17.96it/s]
eval model::  31%|███       | 155/500 [00:07<00:17, 19.73it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:17, 19.96it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.88it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 16.90it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 18.75it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 18.57it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 18.99it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:19, 17.05it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:18, 17.59it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.86it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:20, 15.46it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 17.93it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 19.95it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:14, 21.32it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:13, 22.40it/s]
eval model::  39%|███▉      | 196/500 [00:09<00:15, 19.26it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:15, 20.00it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 21.10it/s]
eval model::  41%|████      | 205/500 [00:10<00:20, 14.69it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:18, 15.51it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:18, 16.10it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:17, 16.82it/s]
eval model::  43%|████▎     | 214/500 [00:10<00:15, 19.02it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.85it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.74it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 16.00it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:14, 19.46it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:12, 22.40it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:11, 23.38it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:11, 22.19it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 23.12it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:12, 20.44it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 22.00it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:10, 23.03it/s]
eval model::  50%|█████     | 251/500 [00:12<00:13, 18.68it/s]
eval model::  51%|█████     | 254/500 [00:12<00:12, 19.89it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:12, 19.75it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:12, 19.95it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 20.37it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:12, 19.44it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:11, 19.58it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:12, 18.00it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:13, 17.11it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 17.52it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 17.57it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.05it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:16, 12.88it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:14, 14.90it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 17.46it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 17.27it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:12, 16.81it/s]
eval model::  60%|██████    | 300/500 [00:15<00:11, 17.23it/s]
eval model::  61%|██████    | 303/500 [00:15<00:10, 18.92it/s]
eval model::  61%|██████    | 306/500 [00:15<00:10, 18.86it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:10, 18.85it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.51it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 20.89it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 21.43it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 21.04it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 20.13it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:07, 21.82it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:08, 20.44it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.86it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 23.17it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:07, 20.89it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:09, 16.97it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:08, 18.42it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:07, 19.37it/s]
eval model::  70%|███████   | 350/500 [00:17<00:07, 20.62it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 23.33it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:06, 21.23it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:06, 21.22it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:06, 20.56it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 17.91it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 18.85it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:06, 18.67it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 18.54it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 18.81it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 22.89it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 22.84it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:04, 23.35it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:06, 16.96it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 17.49it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 17.73it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 17.28it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 20.13it/s]
eval model::  80%|████████  | 400/500 [00:20<00:04, 20.67it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 20.77it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 21.38it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:03, 22.97it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:03, 23.95it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 24.19it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 20.06it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:04, 16.80it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 16.76it/s]
eval model::  85%|████████▌ | 426/500 [00:21<00:04, 17.23it/s]
eval model::  86%|████████▌ | 429/500 [00:21<00:03, 19.61it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 21.12it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 24.01it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 25.28it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 22.42it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 23.20it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 22.14it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 21.38it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 22.05it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 22.53it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 21.30it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:02, 17.99it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:02, 16.88it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 18.96it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 20.01it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 18.43it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 19.95it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 21.20it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 21.79it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 21.69it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 21.04it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 20.63it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 20.41it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 21.68it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.76it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:34, 14.43it/s]
eval model::   1%|          | 5/500 [00:00<00:24, 20.18it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.81it/s]
eval model::   2%|▏         | 10/500 [00:00<00:26, 18.70it/s]
eval model::   2%|▏         | 12/500 [00:00<00:26, 18.10it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.13it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.97it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 19.04it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.08it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 20.79it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 20.34it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 19.54it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.42it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 19.83it/s]
eval model::   8%|▊         | 40/500 [00:02<00:27, 16.69it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.71it/s]
eval model::   9%|▉         | 44/500 [00:02<00:26, 16.96it/s]
eval model::   9%|▉         | 46/500 [00:02<00:28, 16.13it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 19.18it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 20.77it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.26it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:21, 20.78it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.76it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:30, 14.39it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:27, 16.00it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:23, 18.59it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 20.10it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:20, 20.84it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:21, 19.27it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.16it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.42it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 20.09it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 18.77it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:21, 18.78it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:23, 17.50it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:21, 19.11it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.76it/s]
eval model::  21%|██        | 103/500 [00:05<00:20, 19.39it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 19.94it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:19, 20.17it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:17, 21.57it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:17, 21.96it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 20.77it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:22, 17.06it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:21, 17.16it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:20, 18.59it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:20, 18.18it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 18.42it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:17, 20.41it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.64it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.10it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 19.88it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 20.47it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.87it/s]
eval model::  31%|███       | 153/500 [00:08<00:18, 19.21it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:14, 23.28it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:17, 18.98it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:17, 19.74it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:15, 21.68it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:15, 21.21it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:14, 21.88it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:17, 18.80it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:16, 19.97it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 17.36it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 19.25it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 20.30it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:16, 19.37it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:14, 20.84it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:15, 19.63it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:15, 19.88it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 20.81it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 14.79it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 15.64it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 15.66it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.51it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.38it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.81it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:18, 14.83it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:18, 14.94it/s]
eval model::  45%|████▍     | 223/500 [00:11<00:17, 16.01it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:16, 16.87it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:13, 19.52it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:12, 22.23it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:12, 22.07it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:11, 22.13it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:10, 23.71it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:11, 22.42it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:10, 23.84it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:11, 21.05it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 20.44it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 22.00it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 22.65it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 22.27it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:12, 19.28it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:12, 18.96it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 19.14it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:10, 21.30it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.83it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.76it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.48it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 21.99it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 13.03it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:13, 15.08it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:13, 15.52it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:13, 15.29it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:14, 14.56it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 17.18it/s]
eval model::  60%|██████    | 301/500 [00:15<00:12, 16.00it/s]
eval model::  61%|██████    | 304/500 [00:16<00:10, 17.94it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:09, 19.81it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 20.94it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 20.52it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 18.46it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:09, 19.37it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:09, 19.39it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:09, 19.47it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:07, 22.09it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:07, 21.15it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 22.21it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 20.31it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:10, 15.21it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:09, 15.85it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:08, 18.01it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:08, 18.74it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 19.53it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 20.46it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 21.00it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 20.80it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.63it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.91it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.26it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 19.11it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.36it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 23.08it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 22.57it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:04, 23.33it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:07, 14.97it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:07, 15.35it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:07, 15.20it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 15.71it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 17.56it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 17.78it/s]
eval model::  81%|████████  | 403/500 [00:21<00:05, 18.63it/s]
eval model::  81%|████████  | 405/500 [00:21<00:05, 18.39it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 20.08it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 21.75it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 22.14it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 19.40it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:04, 17.12it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 17.41it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 17.21it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.18it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 18.35it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 19.72it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:03, 21.56it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 22.39it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 19.67it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 21.52it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 22.70it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 19.79it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 20.75it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 21.43it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 20.79it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 18.78it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:02, 17.87it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 17.30it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 18.63it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 19.13it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 17.91it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 19.93it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 20.92it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 24.37it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 24.09it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 23.62it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 23.24it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 22.44it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 24.23it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.23it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:52,  9.44it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.18it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 18.00it/s]
eval model::   2%|▏         | 9/500 [00:00<00:24, 20.45it/s]
eval model::   2%|▏         | 12/500 [00:00<00:26, 18.20it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.57it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 21.00it/s]
eval model::   4%|▍         | 20/500 [00:01<00:27, 17.33it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.70it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 20.66it/s]
eval model::   6%|▌         | 29/500 [00:01<00:20, 22.62it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 21.15it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 20.14it/s]
eval model::   8%|▊         | 38/500 [00:01<00:22, 20.29it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.39it/s]
eval model::   9%|▊         | 43/500 [00:02<00:24, 18.99it/s]
eval model::   9%|▉         | 46/500 [00:02<00:24, 18.56it/s]
eval model::  10%|▉         | 49/500 [00:02<00:22, 20.48it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 20.65it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.47it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:20, 21.56it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:23, 19.04it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.71it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.81it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 21.00it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 21.00it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:20, 20.74it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:19, 21.59it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.81it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 23.08it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 21.28it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.53it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 19.04it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:21, 19.06it/s]
eval model::  20%|█▉        | 98/500 [00:04<00:19, 20.13it/s]
eval model::  20%|██        | 101/500 [00:05<00:21, 18.29it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 19.88it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:19, 20.67it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:18, 20.66it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:18, 20.78it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:18, 20.42it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:19, 19.88it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:19, 19.52it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:19, 19.65it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:17, 21.08it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:18, 20.25it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:18, 19.85it/s]
eval model::  27%|██▋       | 137/500 [00:06<00:17, 20.88it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:18, 19.24it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.06it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:18, 19.40it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:19, 18.32it/s]
eval model::  30%|███       | 151/500 [00:07<00:20, 17.31it/s]
eval model::  31%|███       | 154/500 [00:07<00:17, 19.98it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:15, 21.85it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:18, 18.10it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.60it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 18.80it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:18, 18.25it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.61it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:20, 16.16it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:17, 18.23it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:18, 17.39it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 18.85it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.04it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.14it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 21.17it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:15, 19.54it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.66it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.49it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.45it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 15.25it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:19, 15.24it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:18, 15.87it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.16it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.07it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.51it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:20, 13.86it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:21, 12.74it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:17, 15.39it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:17, 15.79it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 18.40it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 20.69it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 20.41it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 21.35it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:12, 21.43it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:13, 19.63it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:13, 19.36it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 19.47it/s]
eval model::  50%|█████     | 251/500 [00:13<00:14, 17.35it/s]
eval model::  51%|█████     | 254/500 [00:13<00:12, 19.76it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:12, 19.65it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 21.72it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:10, 22.99it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:10, 21.63it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:11, 19.93it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:10, 21.14it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 20.33it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 21.65it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 21.84it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 23.16it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:15, 13.97it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:12, 16.23it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:12, 17.14it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:13, 14.98it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 17.25it/s]
eval model::  60%|██████    | 302/500 [00:15<00:11, 17.11it/s]
eval model::  61%|██████    | 305/500 [00:15<00:10, 18.96it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 20.22it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 19.36it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 20.33it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 20.75it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 21.14it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 20.75it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:08, 21.70it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 21.05it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 22.39it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 22.91it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:07, 20.51it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:10, 14.54it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:10, 15.21it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.79it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.94it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 21.05it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 20.05it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 20.32it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:07, 18.68it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.80it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 18.09it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 19.11it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 18.79it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 20.34it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 23.85it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 22.36it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:04, 23.83it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:07, 15.43it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 16.97it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 16.62it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:06, 16.86it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:05, 18.55it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 18.90it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.79it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 20.91it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 21.65it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 22.05it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 19.24it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 16.58it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 18.04it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:04, 15.82it/s]
eval model::  85%|████████▌ | 427/500 [00:22<00:04, 16.45it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 18.64it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 20.08it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:03, 21.03it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 22.11it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 20.70it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 21.22it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 20.91it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 20.04it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 21.02it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:02, 21.42it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 21.57it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 18.22it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 16.99it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 18.56it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 20.16it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 19.23it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 21.16it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 20.90it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 21.39it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 20.15it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 21.08it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 20.82it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 21.19it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 23.25it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.34it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:52,  9.48it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 17.81it/s]
eval model::   1%|          | 6/500 [00:00<00:29, 16.97it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.65it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.94it/s]
eval model::   3%|▎         | 13/500 [00:00<00:27, 17.65it/s]
eval model::   3%|▎         | 16/500 [00:00<00:23, 20.27it/s]
eval model::   4%|▍         | 19/500 [00:01<00:23, 20.62it/s]
eval model::   4%|▍         | 22/500 [00:01<00:23, 20.19it/s]
eval model::   5%|▌         | 25/500 [00:01<00:23, 20.25it/s]
eval model::   6%|▌         | 28/500 [00:01<00:23, 20.16it/s]
eval model::   6%|▌         | 31/500 [00:01<00:26, 18.01it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 19.01it/s]
eval model::   8%|▊         | 38/500 [00:01<00:23, 19.67it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.63it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 18.04it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.50it/s]
eval model::   9%|▉         | 47/500 [00:02<00:25, 17.74it/s]
eval model::  10%|█         | 50/500 [00:02<00:23, 18.75it/s]
eval model::  11%|█         | 53/500 [00:02<00:22, 19.93it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 21.08it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:22, 19.24it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.80it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.41it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.51it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 20.49it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 21.33it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:21, 20.13it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:21, 19.97it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:20, 20.63it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:21, 18.94it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.52it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 17.98it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:25, 15.96it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:24, 16.42it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:23, 16.93it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:21, 18.80it/s]
eval model::  20%|██        | 100/500 [00:05<00:22, 17.60it/s]
eval model::  21%|██        | 103/500 [00:05<00:20, 19.82it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:17, 22.64it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:17, 22.74it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:16, 23.60it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:16, 23.28it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:17, 22.18it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:18, 20.98it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:18, 20.23it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:17, 20.95it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:18, 20.22it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:20, 17.84it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:19, 18.23it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:20, 17.78it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:20, 17.64it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:19, 18.69it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 18.88it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.53it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.47it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 21.09it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 21.30it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:20, 16.37it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:20, 16.70it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 18.50it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 20.59it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:15, 20.55it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.07it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 18.93it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:18, 16.85it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:16, 19.29it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 19.20it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:15, 20.54it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 20.97it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.72it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 21.04it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 22.26it/s]
eval model::  41%|████      | 206/500 [00:10<00:17, 16.56it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:17, 16.97it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:17, 16.84it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:15, 18.05it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.47it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.67it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.91it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 15.38it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:14, 18.35it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:13, 20.79it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 21.83it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 20.94it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 20.29it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:12, 20.68it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:13, 18.34it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:14, 18.04it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:13, 18.02it/s]
eval model::  50%|█████     | 251/500 [00:13<00:14, 17.50it/s]
eval model::  51%|█████     | 254/500 [00:13<00:12, 19.06it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:12, 19.80it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 22.44it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 19.80it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:12, 19.26it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 19.18it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 19.42it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.12it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.64it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 21.38it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 22.97it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:14, 14.30it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 17.49it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 17.10it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:13, 14.89it/s]
eval model::  60%|██████    | 300/500 [00:15<00:12, 16.47it/s]
eval model::  61%|██████    | 303/500 [00:16<00:10, 17.97it/s]
eval model::  61%|██████    | 306/500 [00:16<00:10, 17.69it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:10, 18.93it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:09, 19.50it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 20.09it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 20.63it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:08, 20.01it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:09, 18.90it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:08, 20.61it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 20.56it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:08, 20.65it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 21.02it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:08, 17.90it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:11, 14.22it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:09, 16.37it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 18.43it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 20.69it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 21.06it/s]
eval model::  71%|███████   | 356/500 [00:18<00:06, 21.26it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 21.68it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:06, 21.54it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:06, 20.80it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:06, 19.08it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 18.90it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:07, 17.67it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 18.71it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:06, 20.32it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:06, 19.33it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 20.63it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:07, 15.39it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 17.70it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:05, 18.63it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 19.03it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.15it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 19.39it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.37it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 22.01it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 21.40it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:04, 20.72it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 17.56it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 17.38it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:04, 15.83it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 16.41it/s]
eval model::  85%|████████▌ | 427/500 [00:22<00:04, 17.56it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 18.65it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 20.33it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 21.99it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 22.15it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 21.25it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 22.20it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 21.28it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 20.56it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 22.04it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 22.29it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 21.58it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 18.01it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 16.92it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 18.90it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 20.90it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 18.34it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 19.70it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 20.10it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 20.03it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 19.02it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 20.61it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 21.87it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 21.46it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 23.40it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.24it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:57,  8.67it/s]
eval model::   1%|          | 3/500 [00:00<00:34, 14.36it/s]
eval model::   1%|          | 6/500 [00:00<00:26, 18.82it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.27it/s]
eval model::   2%|▏         | 10/500 [00:00<00:26, 18.61it/s]
eval model::   2%|▏         | 12/500 [00:00<00:27, 17.92it/s]
eval model::   3%|▎         | 14/500 [00:00<00:32, 15.19it/s]
eval model::   3%|▎         | 16/500 [00:00<00:31, 15.17it/s]
eval model::   4%|▍         | 19/500 [00:01<00:26, 18.10it/s]
eval model::   4%|▍         | 22/500 [00:01<00:24, 19.40it/s]
eval model::   5%|▌         | 25/500 [00:01<00:22, 20.71it/s]
eval model::   6%|▌         | 28/500 [00:01<00:23, 20.25it/s]
eval model::   6%|▌         | 31/500 [00:01<00:23, 19.60it/s]
eval model::   7%|▋         | 33/500 [00:01<00:24, 19.25it/s]
eval model::   7%|▋         | 35/500 [00:01<00:28, 16.22it/s]
eval model::   7%|▋         | 37/500 [00:02<00:27, 16.59it/s]
eval model::   8%|▊         | 39/500 [00:02<00:32, 14.33it/s]
eval model::   8%|▊         | 41/500 [00:02<00:29, 15.30it/s]
eval model::   9%|▊         | 43/500 [00:02<00:30, 15.02it/s]
eval model::   9%|▉         | 45/500 [00:02<00:28, 16.05it/s]
eval model::   9%|▉         | 47/500 [00:02<00:29, 15.44it/s]
eval model::  10%|█         | 50/500 [00:02<00:27, 16.60it/s]
eval model::  10%|█         | 52/500 [00:03<00:26, 16.64it/s]
eval model::  11%|█         | 55/500 [00:03<00:23, 19.21it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:24, 17.90it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:25, 17.11it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:29, 14.93it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:30, 14.42it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:23, 18.75it/s]
eval model::  14%|█▍        | 70/500 [00:04<00:21, 20.21it/s]
eval model::  15%|█▍        | 73/500 [00:04<00:20, 20.53it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:20, 20.58it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:21, 20.03it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.20it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 20.38it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:22, 18.64it/s]
eval model::  18%|█▊        | 90/500 [00:05<00:24, 16.76it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:24, 16.85it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 18.46it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.21it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.11it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.10it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:19, 19.64it/s]
eval model::  22%|██▏       | 111/500 [00:06<00:20, 19.26it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:19, 19.74it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:19, 19.66it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.79it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.62it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 18.78it/s]
eval model::  26%|██▌       | 129/500 [00:07<00:19, 19.15it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:22, 16.37it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:24, 15.06it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:23, 15.77it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:19, 18.12it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:19, 18.25it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.15it/s]
eval model::  29%|██▉       | 146/500 [00:08<00:17, 20.47it/s]
eval model::  30%|██▉       | 149/500 [00:08<00:18, 19.46it/s]
eval model::  30%|███       | 151/500 [00:08<00:21, 16.31it/s]
eval model::  31%|███       | 155/500 [00:08<00:18, 19.16it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:17, 19.78it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:21, 15.73it/s]
eval model::  33%|███▎      | 163/500 [00:09<00:21, 15.84it/s]
eval model::  33%|███▎      | 165/500 [00:09<00:20, 16.24it/s]
eval model::  33%|███▎      | 167/500 [00:09<00:20, 16.40it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:17, 18.34it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:18, 17.46it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:23, 13.89it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:21, 15.08it/s]
eval model::  36%|███▌      | 179/500 [00:10<00:18, 17.09it/s]
eval model::  36%|███▌      | 181/500 [00:10<00:20, 15.75it/s]
eval model::  37%|███▋      | 183/500 [00:10<00:20, 15.82it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:17, 17.88it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:17, 17.58it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:16, 19.14it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 20.73it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:15, 19.58it/s]
eval model::  40%|████      | 200/500 [00:11<00:14, 21.10it/s]
eval model::  41%|████      | 203/500 [00:11<00:12, 23.19it/s]
eval model::  41%|████      | 206/500 [00:11<00:18, 15.61it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:19, 15.27it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.61it/s]
eval model::  42%|████▏     | 212/500 [00:11<00:18, 15.35it/s]
eval model::  43%|████▎     | 214/500 [00:12<00:20, 14.03it/s]
eval model::  43%|████▎     | 216/500 [00:12<00:24, 11.59it/s]
eval model::  44%|████▎     | 218/500 [00:12<00:25, 11.11it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:21, 12.69it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:18, 15.15it/s]
eval model::  45%|████▌     | 226/500 [00:13<00:18, 14.89it/s]
eval model::  46%|████▌     | 230/500 [00:13<00:14, 18.90it/s]
eval model::  47%|████▋     | 233/500 [00:13<00:12, 20.89it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:13, 19.70it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:11, 21.95it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:13, 19.09it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 20.79it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.96it/s]
eval model::  50%|█████     | 251/500 [00:14<00:12, 20.30it/s]
eval model::  51%|█████     | 254/500 [00:14<00:11, 22.25it/s]
eval model::  51%|█████▏    | 257/500 [00:14<00:10, 23.22it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:10, 22.98it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:11, 21.51it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:13, 17.47it/s]
eval model::  54%|█████▍    | 269/500 [00:15<00:12, 19.18it/s]
eval model::  54%|█████▍    | 272/500 [00:15<00:11, 20.60it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:11, 19.20it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:11, 20.05it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 20.95it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 22.64it/s]
eval model::  57%|█████▋    | 287/500 [00:16<00:15, 13.74it/s]
eval model::  58%|█████▊    | 290/500 [00:16<00:13, 15.95it/s]
eval model::  59%|█████▊    | 293/500 [00:16<00:13, 15.84it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:15, 13.12it/s]
eval model::  59%|█████▉    | 297/500 [00:16<00:14, 13.99it/s]
eval model::  60%|██████    | 300/500 [00:16<00:14, 14.23it/s]
eval model::  61%|██████    | 303/500 [00:17<00:12, 16.25it/s]
eval model::  61%|██████    | 305/500 [00:17<00:11, 16.41it/s]
eval model::  62%|██████▏   | 308/500 [00:17<00:10, 18.58it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:10, 18.76it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:09, 19.95it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:08, 20.64it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 22.33it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:07, 22.99it/s]
eval model::  65%|██████▌   | 325/500 [00:18<00:07, 23.07it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:08, 20.17it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 19.51it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:08, 20.04it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 18.63it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:09, 17.85it/s]
eval model::  68%|██████▊   | 341/500 [00:19<00:11, 13.67it/s]
eval model::  69%|██████▉   | 344/500 [00:19<00:09, 16.02it/s]
eval model::  69%|██████▉   | 347/500 [00:19<00:08, 17.99it/s]
eval model::  70%|███████   | 350/500 [00:19<00:07, 19.26it/s]
eval model::  71%|███████   | 354/500 [00:19<00:06, 22.38it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:06, 21.14it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:06, 20.73it/s]
eval model::  73%|███████▎  | 363/500 [00:20<00:07, 19.14it/s]
eval model::  73%|███████▎  | 365/500 [00:20<00:07, 18.50it/s]
eval model::  73%|███████▎  | 367/500 [00:20<00:07, 17.23it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:07, 18.41it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 18.28it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 19.77it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 22.06it/s]
eval model::  76%|███████▌  | 381/500 [00:21<00:06, 19.30it/s]
eval model::  77%|███████▋  | 384/500 [00:21<00:05, 21.33it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:07, 14.29it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 16.15it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.48it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.55it/s]
eval model::  80%|███████▉  | 399/500 [00:22<00:04, 20.64it/s]
eval model::  80%|████████  | 402/500 [00:22<00:04, 20.49it/s]
eval model::  81%|████████  | 405/500 [00:22<00:04, 21.81it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:03, 23.14it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:03, 23.68it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:04, 21.02it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 19.28it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:05, 13.95it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 14.20it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 13.91it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.21it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 16.73it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 17.44it/s]
eval model::  87%|████████▋ | 434/500 [00:24<00:03, 19.66it/s]
eval model::  87%|████████▋ | 437/500 [00:24<00:02, 22.09it/s]
eval model::  88%|████████▊ | 440/500 [00:24<00:02, 20.30it/s]
eval model::  89%|████████▊ | 443/500 [00:24<00:02, 22.36it/s]
eval model::  89%|████████▉ | 446/500 [00:24<00:02, 20.97it/s]
eval model::  90%|████████▉ | 449/500 [00:24<00:02, 20.08it/s]
eval model::  90%|█████████ | 452/500 [00:24<00:02, 22.16it/s]
eval model::  91%|█████████ | 455/500 [00:25<00:02, 22.28it/s]
eval model::  92%|█████████▏| 458/500 [00:25<00:01, 21.75it/s]
eval model::  92%|█████████▏| 461/500 [00:25<00:01, 21.42it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 16.94it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 16.32it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 16.81it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 20.29it/s]
eval model::  95%|█████████▌| 475/500 [00:26<00:01, 21.42it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:00, 22.70it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 23.47it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 24.73it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 24.93it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 23.40it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 22.35it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 24.06it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 27.46it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.49it/s]
======================= Modified FLAGS detected =======================
FLAGS(name='FLAGS_selected_gpus', current_value='4', default_value='')
FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False)
=======================================================================
I0727 22:42:59.049276 113013 tcp_utils.cc:130] Successfully connected to 127.0.0.1:49759
I0727 22:42:59.072660 113013 process_group_nccl.cc:120] ProcessGroupNCCL pg_timeout_ 1800000
W0727 22:42:59.087146 113013 gpu_resources.cc:119] Please NOTE: device: 4, GPU Compute Capability: 90.2, Driver API Version: 50724.2, Runtime API Version: 50724.2

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:50,  9.81it/s]
eval model::   1%|          | 3/500 [00:00<00:34, 14.50it/s]
eval model::   1%|          | 6/500 [00:00<00:24, 19.82it/s]
eval model::   2%|▏         | 9/500 [00:00<00:21, 22.48it/s]
eval model::   2%|▏         | 12/500 [00:00<00:23, 20.56it/s]
eval model::   3%|▎         | 15/500 [00:00<00:22, 21.88it/s]
eval model::   4%|▎         | 18/500 [00:00<00:22, 20.98it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 18.69it/s]
eval model::   5%|▍         | 24/500 [00:01<00:22, 20.79it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 21.14it/s]
eval model::   6%|▌         | 30/500 [00:01<00:20, 22.84it/s]
eval model::   7%|▋         | 33/500 [00:01<00:20, 22.99it/s]
eval model::   7%|▋         | 36/500 [00:01<00:20, 22.51it/s]
eval model::   8%|▊         | 39/500 [00:01<00:21, 21.35it/s]
eval model::   8%|▊         | 42/500 [00:02<00:21, 21.22it/s]
eval model::   9%|▉         | 45/500 [00:02<00:20, 22.39it/s]
eval model::  10%|▉         | 48/500 [00:02<00:19, 23.35it/s]
eval model::  10%|█         | 51/500 [00:02<00:18, 24.92it/s]
eval model::  11%|█         | 54/500 [00:02<00:19, 23.32it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:19, 22.35it/s]
eval model::  12%|█▏        | 60/500 [00:02<00:19, 22.34it/s]
eval model::  13%|█▎        | 63/500 [00:02<00:20, 21.32it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:19, 22.08it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:19, 22.49it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:17, 24.00it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:18, 22.75it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:18, 23.27it/s]
eval model::  16%|█▌        | 81/500 [00:03<00:18, 22.32it/s]
eval model::  17%|█▋        | 84/500 [00:03<00:20, 20.18it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.42it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:23, 17.85it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.05it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:21, 18.52it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:20, 19.54it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:20, 19.33it/s]
eval model::  20%|██        | 101/500 [00:04<00:21, 18.71it/s]
eval model::  21%|██        | 105/500 [00:04<00:17, 23.01it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.31it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 20.45it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 21.81it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 20.36it/s]
eval model::  24%|██▍       | 120/500 [00:05<00:22, 17.26it/s]
eval model::  25%|██▍       | 123/500 [00:05<00:20, 18.38it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.01it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.29it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 19.08it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.37it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:17, 20.53it/s]
eval model::  28%|██▊       | 141/500 [00:06<00:19, 18.71it/s]
eval model::  29%|██▉       | 144/500 [00:06<00:18, 19.09it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 20.20it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.01it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 20.92it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 20.81it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:16, 21.29it/s]
eval model::  32%|███▏      | 162/500 [00:07<00:15, 21.35it/s]
eval model::  33%|███▎      | 165/500 [00:07<00:17, 19.37it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 18.41it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 18.72it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 19.53it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:18, 18.09it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:17, 18.48it/s]
eval model::  36%|███▌      | 179/500 [00:08<00:16, 19.74it/s]
eval model::  36%|███▌      | 181/500 [00:08<00:18, 16.97it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 19.58it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:14, 21.24it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:16, 18.66it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:16, 18.38it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:16, 18.94it/s]
eval model::  39%|███▉      | 197/500 [00:09<00:16, 18.43it/s]
eval model::  40%|████      | 200/500 [00:09<00:15, 19.48it/s]
eval model::  41%|████      | 203/500 [00:09<00:14, 20.65it/s]
eval model::  41%|████      | 206/500 [00:10<00:18, 15.54it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 16.21it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:15, 18.15it/s]
eval model::  43%|████▎     | 214/500 [00:10<00:14, 20.40it/s]
eval model::  43%|████▎     | 217/500 [00:10<00:17, 15.73it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:15, 17.65it/s]
eval model::  45%|████▍     | 223/500 [00:11<00:15, 17.46it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:14, 18.86it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:12, 21.11it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:11, 23.39it/s]
eval model::  47%|████▋     | 236/500 [00:11<00:11, 23.63it/s]
eval model::  48%|████▊     | 239/500 [00:11<00:10, 24.88it/s]
eval model::  48%|████▊     | 242/500 [00:11<00:11, 22.28it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:10, 23.62it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:10, 22.94it/s]
eval model::  50%|█████     | 251/500 [00:12<00:12, 20.74it/s]
eval model::  51%|█████     | 254/500 [00:12<00:10, 22.72it/s]
eval model::  51%|█████▏    | 257/500 [00:12<00:11, 21.16it/s]
eval model::  52%|█████▏    | 260/500 [00:12<00:14, 16.19it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:14, 16.70it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:14, 16.26it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:12, 17.93it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:12, 18.99it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:12, 17.98it/s]
eval model::  55%|█████▌    | 275/500 [00:13<00:12, 18.02it/s]
eval model::  56%|█████▌    | 278/500 [00:13<00:11, 18.95it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:11, 19.19it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:11, 19.30it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:13, 15.98it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:11, 18.39it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:10, 20.26it/s]
eval model::  59%|█████▉    | 294/500 [00:14<00:11, 17.75it/s]
eval model::  59%|█████▉    | 296/500 [00:14<00:13, 15.31it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 17.84it/s]
eval model::  60%|██████    | 301/500 [00:15<00:11, 17.55it/s]
eval model::  61%|██████    | 304/500 [00:15<00:10, 18.23it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:09, 20.70it/s]
eval model::  62%|██████▏   | 310/500 [00:15<00:08, 22.70it/s]
eval model::  63%|██████▎   | 313/500 [00:15<00:07, 23.38it/s]
eval model::  63%|██████▎   | 316/500 [00:15<00:07, 23.13it/s]
eval model::  64%|██████▍   | 319/500 [00:15<00:07, 23.06it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:09, 19.21it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:09, 18.27it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:09, 18.74it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:09, 18.52it/s]
eval model::  67%|██████▋   | 333/500 [00:16<00:09, 18.43it/s]
eval model::  67%|██████▋   | 335/500 [00:16<00:08, 18.77it/s]
eval model::  67%|██████▋   | 337/500 [00:16<00:08, 18.51it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:08, 18.71it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:08, 17.68it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:07, 20.85it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:07, 20.35it/s]
eval model::  70%|███████   | 350/500 [00:17<00:07, 20.89it/s]
eval model::  71%|███████   | 353/500 [00:17<00:06, 22.20it/s]
eval model::  71%|███████   | 356/500 [00:17<00:06, 21.59it/s]
eval model::  72%|███████▏  | 359/500 [00:17<00:06, 22.67it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:06, 19.91it/s]
eval model::  73%|███████▎  | 365/500 [00:18<00:07, 19.28it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:06, 19.35it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 21.47it/s]
eval model::  75%|███████▍  | 373/500 [00:18<00:05, 21.67it/s]
eval model::  75%|███████▌  | 377/500 [00:18<00:05, 23.50it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:05, 20.72it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:05, 22.04it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:06, 17.07it/s]
eval model::  78%|███████▊  | 389/500 [00:19<00:06, 17.82it/s]
eval model::  78%|███████▊  | 392/500 [00:19<00:05, 19.99it/s]
eval model::  79%|███████▉  | 395/500 [00:19<00:05, 20.52it/s]
eval model::  80%|███████▉  | 398/500 [00:19<00:04, 21.88it/s]
eval model::  80%|████████  | 401/500 [00:20<00:04, 21.17it/s]
eval model::  81%|████████  | 404/500 [00:20<00:04, 21.44it/s]
eval model::  81%|████████▏ | 407/500 [00:20<00:04, 21.39it/s]
eval model::  82%|████████▏ | 410/500 [00:20<00:04, 21.82it/s]
eval model::  83%|████████▎ | 413/500 [00:20<00:03, 22.23it/s]
eval model::  83%|████████▎ | 416/500 [00:20<00:04, 20.60it/s]
eval model::  84%|████████▍ | 419/500 [00:20<00:03, 20.39it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 19.02it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 18.93it/s]
eval model::  85%|████████▌ | 426/500 [00:21<00:04, 18.37it/s]
eval model::  86%|████████▌ | 429/500 [00:21<00:03, 20.03it/s]
eval model::  86%|████████▋ | 432/500 [00:21<00:03, 20.18it/s]
eval model::  87%|████████▋ | 435/500 [00:21<00:03, 19.42it/s]
eval model::  87%|████████▋ | 437/500 [00:21<00:03, 19.10it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:03, 19.06it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:03, 18.94it/s]
eval model::  89%|████████▊ | 443/500 [00:22<00:02, 19.17it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 18.68it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 18.66it/s]
eval model::  90%|████████▉ | 449/500 [00:22<00:02, 17.87it/s]
eval model::  90%|█████████ | 452/500 [00:22<00:02, 18.73it/s]
eval model::  91%|█████████ | 455/500 [00:22<00:02, 19.44it/s]
eval model::  92%|█████████▏| 458/500 [00:22<00:02, 19.72it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:02, 18.35it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:02, 18.07it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 18.93it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 19.71it/s]
eval model::  94%|█████████▍| 470/500 [00:23<00:01, 18.83it/s]
eval model::  94%|█████████▍| 472/500 [00:23<00:01, 17.48it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 16.73it/s]
eval model::  95%|█████████▌| 476/500 [00:24<00:01, 17.37it/s]
eval model::  96%|█████████▌| 479/500 [00:24<00:01, 19.50it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 19.55it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 20.04it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 16.75it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 18.37it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 18.16it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 19.63it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 21.92it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.85it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:33, 14.97it/s]
eval model::   1%|          | 5/500 [00:00<00:24, 20.37it/s]
eval model::   2%|▏         | 8/500 [00:00<00:23, 21.04it/s]
eval model::   2%|▏         | 11/500 [00:00<00:24, 20.26it/s]
eval model::   3%|▎         | 14/500 [00:00<00:23, 21.05it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.64it/s]
eval model::   4%|▍         | 20/500 [00:00<00:23, 20.01it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 19.91it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.20it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 20.79it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 19.64it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 19.37it/s]
eval model::   7%|▋         | 37/500 [00:01<00:21, 21.89it/s]
eval model::   8%|▊         | 40/500 [00:01<00:22, 20.73it/s]
eval model::   9%|▊         | 43/500 [00:02<00:21, 21.66it/s]
eval model::   9%|▉         | 46/500 [00:02<00:23, 19.60it/s]
eval model::  10%|▉         | 49/500 [00:02<00:21, 20.73it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 20.60it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 22.07it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:21, 20.82it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:23, 18.73it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:23, 18.53it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:20, 20.71it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:19, 21.57it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:18, 22.58it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:21, 20.21it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:21, 20.05it/s]
eval model::  16%|█▌        | 81/500 [00:03<00:19, 21.07it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.34it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 21.33it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:20, 19.57it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:20, 19.55it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:19, 20.93it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:19, 20.71it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.34it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.07it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 20.93it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 19.60it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 20.47it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:17, 22.36it/s]
eval model::  24%|██▍       | 120/500 [00:05<00:18, 20.55it/s]
eval model::  25%|██▍       | 123/500 [00:05<00:16, 22.26it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:18, 20.66it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.50it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:18, 20.07it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.67it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:17, 21.17it/s]
eval model::  28%|██▊       | 141/500 [00:06<00:16, 21.36it/s]
eval model::  29%|██▉       | 144/500 [00:06<00:16, 21.85it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 20.55it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.34it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 20.57it/s]
eval model::  31%|███       | 156/500 [00:07<00:15, 21.83it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:16, 20.29it/s]
eval model::  32%|███▏      | 162/500 [00:07<00:17, 18.90it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:16, 20.27it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:16, 19.84it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:16, 19.66it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:17, 19.18it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:16, 20.00it/s]
eval model::  36%|███▌      | 180/500 [00:08<00:16, 19.99it/s]
eval model::  37%|███▋      | 183/500 [00:08<00:14, 21.48it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.84it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 19.67it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 19.55it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:15, 19.82it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:14, 20.69it/s]
eval model::  40%|████      | 201/500 [00:09<00:16, 18.61it/s]
eval model::  41%|████      | 204/500 [00:10<00:14, 19.87it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 14.91it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:19, 14.93it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:18, 15.65it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:17, 16.21it/s]
eval model::  43%|████▎     | 215/500 [00:10<00:18, 15.08it/s]
eval model::  43%|████▎     | 217/500 [00:10<00:19, 14.58it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.86it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:16, 16.76it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 18.46it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:13, 20.13it/s]
eval model::  46%|████▋     | 232/500 [00:11<00:11, 23.85it/s]
eval model::  47%|████▋     | 235/500 [00:11<00:11, 22.80it/s]
eval model::  48%|████▊     | 238/500 [00:11<00:10, 24.17it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 22.36it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:12, 19.78it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:13, 19.26it/s]
eval model::  50%|█████     | 250/500 [00:12<00:13, 19.05it/s]
eval model::  50%|█████     | 252/500 [00:12<00:13, 18.49it/s]
eval model::  51%|█████     | 255/500 [00:12<00:12, 19.05it/s]
eval model::  52%|█████▏    | 258/500 [00:12<00:12, 20.13it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:12, 19.64it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:12, 19.23it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 19.42it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:12, 19.18it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:11, 19.87it/s]
eval model::  55%|█████▌    | 275/500 [00:13<00:11, 19.53it/s]
eval model::  56%|█████▌    | 278/500 [00:13<00:10, 21.68it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:09, 22.97it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 21.60it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:13, 15.60it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:10, 19.08it/s]
eval model::  59%|█████▉    | 294/500 [00:14<00:10, 20.47it/s]
eval model::  59%|█████▉    | 297/500 [00:14<00:09, 20.30it/s]
eval model::  60%|██████    | 300/500 [00:15<00:09, 20.32it/s]
eval model::  61%|██████    | 303/500 [00:15<00:09, 19.95it/s]
eval model::  61%|██████    | 306/500 [00:15<00:09, 19.50it/s]
eval model::  62%|██████▏   | 309/500 [00:15<00:09, 21.05it/s]
eval model::  62%|██████▏   | 312/500 [00:15<00:08, 21.59it/s]
eval model::  63%|██████▎   | 315/500 [00:15<00:08, 21.84it/s]
eval model::  64%|██████▎   | 318/500 [00:15<00:08, 22.24it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:08, 21.57it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:08, 20.52it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:07, 21.74it/s]
eval model::  66%|██████▌   | 330/500 [00:16<00:07, 21.29it/s]
eval model::  67%|██████▋   | 333/500 [00:16<00:08, 20.64it/s]
eval model::  67%|██████▋   | 336/500 [00:16<00:07, 20.50it/s]
eval model::  68%|██████▊   | 339/500 [00:16<00:07, 20.17it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:08, 18.92it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:07, 20.95it/s]
eval model::  70%|██████▉   | 348/500 [00:17<00:07, 21.49it/s]
eval model::  70%|███████   | 351/500 [00:17<00:07, 20.63it/s]
eval model::  71%|███████   | 354/500 [00:17<00:06, 21.51it/s]
eval model::  71%|███████▏  | 357/500 [00:17<00:07, 20.18it/s]
eval model::  72%|███████▏  | 360/500 [00:17<00:06, 20.64it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:06, 20.67it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:06, 19.18it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 20.48it/s]
eval model::  74%|███████▍  | 372/500 [00:18<00:06, 20.37it/s]
eval model::  75%|███████▌  | 375/500 [00:18<00:06, 19.86it/s]
eval model::  76%|███████▌  | 378/500 [00:18<00:05, 21.36it/s]
eval model::  76%|███████▌  | 381/500 [00:18<00:05, 20.08it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 20.27it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:07, 14.84it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:06, 17.17it/s]
eval model::  79%|███████▊  | 393/500 [00:19<00:05, 19.43it/s]
eval model::  79%|███████▉  | 396/500 [00:19<00:05, 18.89it/s]
eval model::  80%|███████▉  | 399/500 [00:19<00:05, 20.15it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 22.01it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 20.35it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:04, 19.56it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:04, 19.80it/s]
eval model::  83%|████████▎ | 414/500 [00:20<00:04, 19.00it/s]
eval model::  83%|████████▎ | 416/500 [00:20<00:04, 18.01it/s]
eval model::  84%|████████▍ | 419/500 [00:20<00:04, 19.26it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:04, 17.78it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 18.92it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 19.93it/s]
eval model::  86%|████████▌ | 430/500 [00:21<00:03, 19.93it/s]
eval model::  87%|████████▋ | 433/500 [00:21<00:03, 20.76it/s]
eval model::  87%|████████▋ | 436/500 [00:21<00:03, 20.41it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:03, 19.44it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:03, 19.34it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 20.02it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 20.48it/s]
eval model::  90%|█████████ | 450/500 [00:22<00:02, 19.03it/s]
eval model::  91%|█████████ | 453/500 [00:22<00:02, 20.22it/s]
eval model::  91%|█████████ | 456/500 [00:22<00:02, 19.84it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:02, 19.84it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:01, 19.61it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 18.42it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 20.41it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 21.97it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 20.90it/s]
eval model::  95%|█████████▌| 477/500 [00:23<00:01, 22.25it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 20.79it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 20.13it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 18.24it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 19.46it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 20.74it/s]
eval model::  99%|█████████▉| 495/500 [00:24<00:00, 21.01it/s]
eval model:: 100%|█████████▉| 498/500 [00:24<00:00, 20.98it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.99it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:55,  8.96it/s]
eval model::   1%|          | 3/500 [00:00<00:34, 14.23it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 17.65it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 18.13it/s]
eval model::   2%|▏         | 11/500 [00:00<00:26, 18.37it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 19.48it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.35it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.95it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 20.93it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 20.75it/s]
eval model::   6%|▌         | 29/500 [00:01<00:20, 22.76it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 21.10it/s]
eval model::   7%|▋         | 35/500 [00:01<00:22, 21.05it/s]
eval model::   8%|▊         | 38/500 [00:01<00:21, 21.13it/s]
eval model::   8%|▊         | 41/500 [00:02<00:21, 21.38it/s]
eval model::   9%|▉         | 44/500 [00:02<00:21, 20.76it/s]
eval model::   9%|▉         | 47/500 [00:02<00:22, 19.99it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 20.83it/s]
eval model::  11%|█         | 53/500 [00:02<00:21, 21.23it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 20.20it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:21, 20.70it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:24, 18.02it/s]
eval model::  13%|█▎        | 65/500 [00:03<00:22, 19.19it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:20, 21.41it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:19, 22.00it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:20, 20.91it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:21, 19.93it/s]
eval model::  16%|█▌        | 80/500 [00:03<00:20, 20.06it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:21, 19.60it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:21, 19.32it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 18.55it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.26it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 19.53it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:18, 21.31it/s]
eval model::  20%|██        | 100/500 [00:05<00:20, 19.43it/s]
eval model::  21%|██        | 103/500 [00:05<00:18, 21.12it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.55it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 21.91it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:20, 18.60it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:20, 18.89it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:19, 19.89it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.10it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.36it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 20.48it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:20, 18.12it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:18, 19.96it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:18, 20.10it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:18, 20.01it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.18it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.45it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.41it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.03it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 20.80it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 20.59it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:17, 19.67it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:21, 16.01it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 18.29it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 18.59it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:18, 18.02it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.52it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:18, 17.84it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:19, 16.96it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.86it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:17, 18.41it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:15, 20.51it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 20.76it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 20.39it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:14, 21.63it/s]
eval model::  39%|███▉      | 196/500 [00:09<00:16, 18.22it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:15, 19.64it/s]
eval model::  40%|████      | 202/500 [00:10<00:15, 19.70it/s]
eval model::  41%|████      | 205/500 [00:10<00:22, 13.39it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:20, 14.12it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:19, 14.69it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:18, 15.50it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.11it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.37it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 14.97it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.31it/s]
eval model::  45%|████▍     | 223/500 [00:11<00:14, 18.66it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:14, 19.15it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:12, 21.47it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 21.93it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 21.90it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 22.16it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 21.80it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:12, 20.70it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 21.41it/s]
eval model::  50%|█████     | 250/500 [00:12<00:12, 19.93it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 21.93it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 20.66it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:11, 20.91it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:11, 20.58it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:12, 18.78it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:11, 20.37it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:10, 20.83it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:10, 21.14it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:10, 20.87it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:11, 19.95it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:10, 20.09it/s]
eval model::  57%|█████▋    | 286/500 [00:14<00:16, 12.74it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:14, 14.58it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.71it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:13, 15.57it/s]
eval model::  60%|█████▉    | 298/500 [00:15<00:11, 17.73it/s]
eval model::  60%|██████    | 301/500 [00:15<00:11, 16.86it/s]
eval model::  61%|██████    | 304/500 [00:15<00:10, 18.34it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:09, 19.60it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 21.08it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:08, 21.62it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:08, 21.80it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:07, 23.42it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:07, 23.28it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:07, 24.48it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:07, 21.70it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 19.52it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:08, 19.63it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:09, 17.99it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:09, 17.37it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:08, 18.92it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 20.75it/s]
eval model::  70%|███████   | 350/500 [00:18<00:06, 22.54it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 24.22it/s]
eval model::  71%|███████   | 356/500 [00:18<00:07, 19.08it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 20.26it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:06, 19.87it/s]
eval model::  73%|███████▎  | 365/500 [00:18<00:07, 18.50it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:07, 17.83it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 19.66it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 20.74it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 21.77it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 23.00it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 21.23it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 21.32it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:06, 16.11it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 18.00it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 19.44it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:04, 20.77it/s]
eval model::  80%|████████  | 400/500 [00:20<00:04, 20.31it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 21.63it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 21.51it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:04, 20.53it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:04, 20.36it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 20.40it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 19.97it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:04, 17.94it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 18.90it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 20.45it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 21.14it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 21.41it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:03, 20.15it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:03, 19.08it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:03, 17.39it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 20.03it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 19.83it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 18.96it/s]
eval model::  90%|█████████ | 452/500 [00:23<00:02, 19.06it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 17.91it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:02, 19.39it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:02, 19.88it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 18.80it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:02, 16.16it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 18.64it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 19.43it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 19.25it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 21.25it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 20.97it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 20.59it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 18.91it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 18.71it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 19.67it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 20.51it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 21.82it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.53it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:38, 13.08it/s]
eval model::   1%|          | 4/500 [00:00<00:30, 16.29it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.29it/s]
eval model::   2%|▏         | 9/500 [00:00<00:23, 20.62it/s]
eval model::   2%|▏         | 12/500 [00:00<00:27, 17.95it/s]
eval model::   3%|▎         | 14/500 [00:00<00:29, 16.60it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.59it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.26it/s]
eval model::   5%|▍         | 23/500 [00:01<00:21, 22.05it/s]
eval model::   5%|▌         | 26/500 [00:01<00:21, 22.25it/s]
eval model::   6%|▌         | 29/500 [00:01<00:20, 22.69it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 20.41it/s]
eval model::   7%|▋         | 35/500 [00:01<00:22, 20.33it/s]
eval model::   8%|▊         | 38/500 [00:01<00:22, 20.47it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.82it/s]
eval model::   9%|▉         | 44/500 [00:02<00:22, 20.59it/s]
eval model::   9%|▉         | 47/500 [00:02<00:21, 20.60it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 21.16it/s]
eval model::  11%|█         | 53/500 [00:02<00:21, 20.89it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 20.72it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:23, 18.93it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:25, 17.46it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.76it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.44it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 20.06it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:22, 19.24it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:21, 19.58it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:22, 19.11it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:21, 19.94it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 21.09it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:20, 20.39it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:21, 19.20it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.02it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 19.49it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:19, 20.96it/s]
eval model::  20%|██        | 100/500 [00:05<00:20, 19.57it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.47it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.19it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.99it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 21.13it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:17, 22.02it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:16, 22.53it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.69it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.33it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:17, 20.89it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 18.76it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.32it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 20.03it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:16, 21.39it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:16, 22.22it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 22.03it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 20.20it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.19it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 20.84it/s]
eval model::  31%|███       | 156/500 [00:07<00:15, 22.47it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:16, 20.68it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:18, 18.51it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:16, 20.35it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:16, 20.63it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:15, 20.83it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:16, 19.91it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:15, 21.06it/s]
eval model::  36%|███▌      | 180/500 [00:08<00:15, 20.04it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.57it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 18.89it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 18.85it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:15, 20.00it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:14, 20.75it/s]
eval model::  39%|███▉      | 197/500 [00:09<00:15, 19.31it/s]
eval model::  40%|████      | 200/500 [00:09<00:14, 20.21it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 19.83it/s]
eval model::  41%|████      | 206/500 [00:10<00:20, 14.03it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:20, 14.05it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:19, 14.73it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:16, 17.29it/s]
eval model::  43%|████▎     | 215/500 [00:10<00:17, 16.37it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:17, 15.91it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:15, 18.56it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:15, 18.34it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:13, 20.79it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:11, 23.73it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:11, 22.57it/s]
eval model::  47%|████▋     | 236/500 [00:11<00:12, 20.61it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.12it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:12, 20.82it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 22.79it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:10, 24.19it/s]
eval model::  50%|█████     | 251/500 [00:12<00:11, 22.44it/s]
eval model::  51%|█████     | 254/500 [00:12<00:10, 22.91it/s]
eval model::  51%|█████▏    | 257/500 [00:12<00:10, 22.78it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 21.73it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:12, 19.33it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:12, 18.59it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:11, 20.25it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:12, 18.51it/s]
eval model::  55%|█████▌    | 275/500 [00:13<00:12, 18.74it/s]
eval model::  56%|█████▌    | 278/500 [00:13<00:10, 20.33it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 21.13it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 19.64it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:15, 14.14it/s]
eval model::  58%|█████▊    | 290/500 [00:14<00:12, 16.53it/s]
eval model::  59%|█████▊    | 293/500 [00:14<00:11, 18.60it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:11, 17.29it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 19.23it/s]
eval model::  60%|██████    | 302/500 [00:15<00:10, 18.23it/s]
eval model::  61%|██████    | 305/500 [00:15<00:09, 20.12it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:09, 21.30it/s]
eval model::  62%|██████▏   | 311/500 [00:15<00:08, 22.18it/s]
eval model::  63%|██████▎   | 314/500 [00:15<00:09, 20.17it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 20.81it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:09, 19.16it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:09, 18.74it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:08, 19.96it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:08, 19.07it/s]
eval model::  66%|██████▋   | 332/500 [00:16<00:08, 20.56it/s]
eval model::  67%|██████▋   | 335/500 [00:16<00:08, 19.23it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 19.03it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:09, 16.09it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:08, 18.42it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 20.43it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:07, 20.27it/s]
eval model::  70%|███████   | 352/500 [00:17<00:07, 19.31it/s]
eval model::  71%|███████   | 355/500 [00:18<00:08, 17.64it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:07, 18.64it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:07, 18.79it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:06, 19.95it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 18.76it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 19.03it/s]
eval model::  74%|███████▍  | 371/500 [00:18<00:06, 18.93it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:06, 20.65it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 20.59it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:06, 19.25it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:05, 20.75it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:07, 15.06it/s]
eval model::  78%|███████▊  | 389/500 [00:19<00:06, 17.34it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:05, 18.34it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:05, 18.16it/s]
eval model::  80%|███████▉  | 398/500 [00:20<00:05, 19.65it/s]
eval model::  80%|████████  | 401/500 [00:20<00:05, 18.38it/s]
eval model::  81%|████████  | 404/500 [00:20<00:04, 19.24it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:04, 22.64it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:04, 21.90it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:04, 20.33it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 18.51it/s]
eval model::  84%|████████▍ | 419/500 [00:21<00:04, 17.99it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:05, 15.14it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 17.03it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 18.40it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 20.79it/s]
eval model::  87%|████████▋ | 434/500 [00:22<00:02, 22.55it/s]
eval model::  87%|████████▋ | 437/500 [00:22<00:02, 23.59it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:02, 22.11it/s]
eval model::  89%|████████▊ | 443/500 [00:22<00:02, 23.73it/s]
eval model::  89%|████████▉ | 446/500 [00:22<00:02, 21.65it/s]
eval model::  90%|████████▉ | 449/500 [00:22<00:02, 20.16it/s]
eval model::  90%|█████████ | 452/500 [00:22<00:02, 21.72it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:02, 20.81it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:01, 21.38it/s]
eval model::  92%|█████████▏| 461/500 [00:23<00:01, 21.94it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:01, 18.73it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:01, 18.35it/s]
eval model::  94%|█████████▍| 469/500 [00:23<00:01, 20.52it/s]
eval model::  94%|█████████▍| 472/500 [00:23<00:01, 20.76it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 21.91it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:00, 22.18it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 20.82it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 20.90it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 20.22it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 19.21it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 17.94it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 19.36it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 20.60it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.73it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:03,  7.92it/s]
eval model::   1%|          | 3/500 [00:00<00:34, 14.21it/s]
eval model::   1%|          | 6/500 [00:00<00:30, 16.29it/s]
eval model::   2%|▏         | 8/500 [00:00<00:30, 16.12it/s]
eval model::   2%|▏         | 10/500 [00:00<00:28, 17.27it/s]
eval model::   2%|▏         | 12/500 [00:00<00:29, 16.57it/s]
eval model::   3%|▎         | 14/500 [00:00<00:30, 16.08it/s]
eval model::   3%|▎         | 16/500 [00:00<00:28, 17.11it/s]
eval model::   4%|▍         | 19/500 [00:01<00:25, 19.15it/s]
eval model::   4%|▍         | 22/500 [00:01<00:22, 20.98it/s]
eval model::   5%|▌         | 25/500 [00:01<00:24, 19.61it/s]
eval model::   5%|▌         | 27/500 [00:01<00:25, 18.86it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 21.17it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 19.82it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 18.79it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 17.99it/s]
eval model::   8%|▊         | 42/500 [00:02<00:24, 18.88it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.25it/s]
eval model::   9%|▉         | 47/500 [00:02<00:25, 17.92it/s]
eval model::  10%|█         | 50/500 [00:02<00:24, 18.49it/s]
eval model::  11%|█         | 53/500 [00:02<00:22, 19.89it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 21.08it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:21, 20.07it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:23, 18.98it/s]
eval model::  13%|█▎        | 65/500 [00:03<00:20, 20.89it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:18, 22.81it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:19, 22.16it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:21, 19.61it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:22, 18.52it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:21, 19.89it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 20.90it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:20, 20.45it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:21, 18.78it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:21, 18.80it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 19.79it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:20, 19.90it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.19it/s]
eval model::  21%|██        | 103/500 [00:05<00:20, 19.65it/s]
eval model::  21%|██        | 106/500 [00:05<00:21, 18.49it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:21, 17.96it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 18.61it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 20.37it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:19, 19.39it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:21, 17.51it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 19.95it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.22it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.67it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 18.87it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.38it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.62it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.02it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.27it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:16, 21.65it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 20.79it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 20.15it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 21.43it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 21.13it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:18, 18.23it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 18.52it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 19.24it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 20.66it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:16, 19.47it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.59it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.71it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 16.70it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:17, 18.18it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:17, 17.58it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 19.64it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:14, 20.91it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:14, 20.80it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:13, 22.29it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 22.06it/s]
eval model::  41%|████      | 205/500 [00:10<00:21, 13.94it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:20, 14.61it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 14.53it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:19, 15.01it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 15.05it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 14.15it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 13.05it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 15.44it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:19, 14.58it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:15, 17.32it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:14, 18.97it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:11, 22.55it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 21.88it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 22.21it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:10, 23.95it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:10, 23.84it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 22.06it/s]
eval model::  50%|█████     | 250/500 [00:13<00:13, 18.43it/s]
eval model::  50%|█████     | 252/500 [00:13<00:13, 18.51it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 21.03it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 21.41it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 22.43it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 19.92it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 19.62it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 20.01it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:12, 18.85it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.98it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.09it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.31it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 20.63it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:15, 13.52it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:14, 14.56it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.73it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.48it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:13, 15.50it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 18.38it/s]
eval model::  60%|██████    | 302/500 [00:16<00:10, 18.16it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 19.35it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 19.93it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:08, 21.13it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 22.07it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 22.64it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:07, 23.06it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 19.85it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 21.11it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 19.71it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.37it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 22.26it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 18.44it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:09, 16.18it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:08, 17.95it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:07, 19.73it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 20.76it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 21.68it/s]
eval model::  71%|███████   | 356/500 [00:18<00:06, 22.00it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 22.52it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:06, 21.27it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:06, 20.29it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:06, 19.46it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:06, 19.05it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 18.82it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:06, 20.05it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 20.78it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 20.51it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:07, 15.81it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 18.01it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:05, 19.24it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:05, 18.96it/s]
eval model::  80%|███████▉  | 398/500 [00:20<00:04, 20.40it/s]
eval model::  80%|████████  | 401/500 [00:20<00:04, 19.92it/s]
eval model::  81%|████████  | 404/500 [00:21<00:04, 21.30it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 22.38it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:03, 22.86it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:03, 23.18it/s]
eval model::  83%|████████▎ | 416/500 [00:21<00:04, 18.81it/s]
eval model::  84%|████████▍ | 419/500 [00:21<00:04, 17.90it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 15.17it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 15.00it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 15.13it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 18.64it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 21.00it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 22.05it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 23.86it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 22.85it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 22.66it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 20.63it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 20.66it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 21.14it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 21.54it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:02, 18.94it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 18.25it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 16.80it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 20.34it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 19.49it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 20.20it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 21.16it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 21.44it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 22.19it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 20.14it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 21.09it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 20.33it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 21.39it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 24.74it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.37it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.30it/s]
eval model::   1%|          | 4/500 [00:00<00:24, 20.49it/s]
eval model::   1%|▏         | 7/500 [00:00<00:25, 19.54it/s]
eval model::   2%|▏         | 10/500 [00:00<00:24, 19.77it/s]
eval model::   2%|▏         | 12/500 [00:00<00:25, 19.19it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 19.33it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.35it/s]
eval model::   4%|▍         | 20/500 [00:00<00:22, 21.40it/s]
eval model::   5%|▍         | 23/500 [00:01<00:21, 22.60it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 20.83it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.99it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 18.88it/s]
eval model::   7%|▋         | 34/500 [00:01<00:26, 17.54it/s]
eval model::   7%|▋         | 37/500 [00:01<00:24, 18.63it/s]
eval model::   8%|▊         | 39/500 [00:02<00:28, 16.28it/s]
eval model::   8%|▊         | 42/500 [00:02<00:28, 16.21it/s]
eval model::   9%|▉         | 45/500 [00:02<00:26, 17.13it/s]
eval model::   9%|▉         | 47/500 [00:02<00:28, 15.74it/s]
eval model::  10%|█         | 50/500 [00:02<00:25, 17.82it/s]
eval model::  10%|█         | 52/500 [00:02<00:24, 18.20it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 20.28it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:22, 19.84it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:23, 18.72it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:25, 17.30it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.88it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 19.74it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.60it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:22, 19.29it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.50it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.20it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.25it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 20.91it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 19.29it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:21, 19.41it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:21, 18.51it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 18.64it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.27it/s]
eval model::  20%|██        | 102/500 [00:05<00:22, 17.46it/s]
eval model::  21%|██        | 105/500 [00:05<00:20, 19.50it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.08it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 20.95it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 22.03it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:18, 20.38it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:21, 17.96it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 19.94it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.56it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.63it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.03it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:20, 17.61it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.18it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:19, 18.19it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:18, 19.13it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:19, 18.12it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:21, 16.59it/s]
eval model::  30%|███       | 150/500 [00:07<00:20, 17.01it/s]
eval model::  30%|███       | 152/500 [00:08<00:23, 15.04it/s]
eval model::  31%|███       | 155/500 [00:08<00:19, 17.55it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:17, 19.84it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.27it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.51it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 19.54it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 20.41it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:17, 18.53it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:19, 16.84it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:17, 18.19it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:21, 14.91it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:18, 17.34it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 18.72it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:15, 20.44it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 21.89it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 21.07it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.65it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 21.03it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 14.92it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:18, 15.74it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:18, 15.53it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:19, 14.86it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.43it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.26it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.84it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.53it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:16, 16.48it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:14, 19.02it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:13, 20.49it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:12, 22.38it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:11, 22.99it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:11, 23.02it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 23.23it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:13, 19.15it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 19.87it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 20.45it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 19.30it/s]
eval model::  51%|█████     | 255/500 [00:13<00:12, 20.18it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 20.94it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 20.19it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:12, 19.04it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 18.66it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:12, 18.59it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:11, 19.35it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:12, 17.89it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:13, 16.73it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.20it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.52it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 21.17it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 13.17it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:13, 15.16it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:12, 16.86it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:13, 14.89it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:11, 17.00it/s]
eval model::  60%|██████    | 300/500 [00:16<00:11, 16.82it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 16.48it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.21it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.65it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:10, 18.24it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:09, 19.11it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 19.21it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:09, 20.00it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:08, 20.51it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:09, 19.09it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:09, 19.16it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 19.55it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 20.24it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 21.76it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 19.31it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:09, 16.03it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:08, 18.37it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:07, 20.65it/s]
eval model::  70%|███████   | 350/500 [00:18<00:06, 22.46it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 23.55it/s]
eval model::  71%|███████   | 356/500 [00:18<00:06, 22.39it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:06, 22.84it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:06, 21.31it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:07, 19.05it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:07, 16.93it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:07, 17.41it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:06, 19.55it/s]
eval model::  75%|███████▌  | 377/500 [00:20<00:06, 20.38it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.56it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 22.44it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:07, 15.83it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:06, 16.39it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 17.71it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:05, 18.24it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 18.50it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.48it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 19.47it/s]
eval model::  81%|████████  | 404/500 [00:21<00:04, 19.49it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 20.72it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 23.66it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 23.16it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:03, 20.82it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:04, 17.35it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 17.03it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 16.34it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.94it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 19.91it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 20.44it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:02, 23.76it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 24.04it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 22.24it/s]
eval model::  89%|████████▉ | 446/500 [00:23<00:02, 24.01it/s]
eval model::  90%|████████▉ | 449/500 [00:23<00:02, 20.83it/s]
eval model::  90%|█████████ | 452/500 [00:23<00:02, 22.81it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:02, 22.23it/s]
eval model::  92%|█████████▏| 458/500 [00:24<00:01, 21.55it/s]
eval model::  92%|█████████▏| 461/500 [00:24<00:01, 21.59it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:01, 18.24it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:02, 16.61it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 17.21it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 20.00it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 20.29it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:00, 22.71it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 21.22it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 21.12it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 20.88it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 20.95it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 21.78it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 21.81it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 23.69it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.15it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:35, 13.94it/s]
eval model::   1%|          | 5/500 [00:00<00:26, 18.43it/s]
eval model::   1%|▏         | 7/500 [00:00<00:25, 19.01it/s]
eval model::   2%|▏         | 10/500 [00:00<00:25, 19.44it/s]
eval model::   2%|▏         | 12/500 [00:00<00:25, 19.50it/s]
eval model::   3%|▎         | 15/500 [00:00<00:25, 19.28it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.74it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 18.91it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.33it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 20.61it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 20.97it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 20.14it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 18.73it/s]
eval model::   8%|▊         | 38/500 [00:01<00:25, 18.45it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 18.10it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.88it/s]
eval model::   9%|▉         | 45/500 [00:02<00:22, 20.60it/s]
eval model::  10%|▉         | 48/500 [00:02<00:20, 22.01it/s]
eval model::  10%|█         | 51/500 [00:02<00:20, 21.96it/s]
eval model::  11%|█         | 54/500 [00:02<00:19, 23.08it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:19, 22.24it/s]
eval model::  12%|█▏        | 60/500 [00:02<00:20, 21.16it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:24, 17.91it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:21, 20.05it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 21.05it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:22, 19.07it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:21, 19.83it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:19, 21.23it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:20, 20.13it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:22, 18.89it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 18.99it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:21, 18.99it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.47it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.36it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:20, 19.73it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:19, 20.80it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.39it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 20.38it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:21, 18.65it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 18.55it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 20.72it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:17, 22.08it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.73it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.33it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.64it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.25it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:18, 19.54it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:17, 20.78it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:16, 22.29it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:16, 21.12it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.88it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 20.18it/s]
eval model::  30%|███       | 150/500 [00:07<00:15, 22.02it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.93it/s]
eval model::  31%|███       | 156/500 [00:07<00:15, 21.87it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:15, 21.83it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:16, 20.29it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:15, 21.39it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:15, 21.03it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:16, 20.16it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:16, 19.49it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:15, 20.93it/s]
eval model::  36%|███▌      | 180/500 [00:08<00:17, 18.68it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:15, 20.15it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.52it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.62it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 20.49it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:17, 17.86it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:16, 18.66it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.04it/s]
eval model::  41%|████      | 204/500 [00:10<00:14, 20.65it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:22, 12.76it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:21, 13.66it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:19, 14.51it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:19, 14.94it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.70it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.58it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:15, 17.73it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:16, 16.51it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 18.79it/s]
eval model::  45%|████▌     | 227/500 [00:11<00:15, 17.49it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:13, 20.02it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:12, 20.73it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 20.42it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 23.37it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:11, 22.10it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:11, 22.71it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:11, 21.86it/s]
eval model::  50%|█████     | 252/500 [00:12<00:11, 21.95it/s]
eval model::  51%|█████     | 255/500 [00:12<00:11, 21.94it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 21.70it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 20.35it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:12, 18.80it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:12, 19.32it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:11, 20.25it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:11, 19.55it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 18.02it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.58it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.93it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 20.84it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:15, 14.12it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:11, 17.89it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:10, 18.88it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:11, 18.33it/s]
eval model::  60%|██████    | 300/500 [00:15<00:10, 18.81it/s]
eval model::  61%|██████    | 303/500 [00:15<00:09, 20.08it/s]
eval model::  61%|██████    | 306/500 [00:15<00:09, 20.97it/s]
eval model::  62%|██████▏   | 309/500 [00:15<00:09, 20.57it/s]
eval model::  62%|██████▏   | 312/500 [00:15<00:08, 22.01it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:08, 21.78it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:07, 23.27it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:07, 23.02it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:08, 21.35it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:07, 22.87it/s]
eval model::  66%|██████▌   | 330/500 [00:16<00:07, 22.08it/s]
eval model::  67%|██████▋   | 333/500 [00:16<00:07, 22.69it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 21.05it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:08, 20.04it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:09, 17.33it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:08, 18.89it/s]
eval model::  70%|██████▉   | 348/500 [00:17<00:07, 20.58it/s]
eval model::  70%|███████   | 351/500 [00:17<00:07, 21.17it/s]
eval model::  71%|███████   | 354/500 [00:17<00:06, 21.99it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:07, 20.00it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:06, 20.22it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:07, 19.12it/s]
eval model::  73%|███████▎  | 365/500 [00:18<00:07, 17.32it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:07, 17.56it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 19.15it/s]
eval model::  74%|███████▍  | 372/500 [00:18<00:06, 19.15it/s]
eval model::  75%|███████▌  | 375/500 [00:18<00:05, 21.79it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:05, 23.65it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 21.10it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 22.27it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:07, 15.72it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:06, 17.31it/s]
eval model::  79%|███████▊  | 393/500 [00:19<00:05, 18.68it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 19.55it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:04, 20.67it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 21.45it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 21.64it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:03, 23.05it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:03, 23.79it/s]
eval model::  83%|████████▎ | 414/500 [00:20<00:03, 24.16it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:03, 21.18it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 18.22it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 18.40it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 17.64it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 19.06it/s]
eval model::  86%|████████▌ | 430/500 [00:21<00:03, 20.67it/s]
eval model::  87%|████████▋ | 433/500 [00:21<00:03, 21.84it/s]
eval model::  87%|████████▋ | 436/500 [00:21<00:02, 23.38it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 23.40it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 22.87it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 20.97it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 19.44it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 20.74it/s]
eval model::  91%|█████████ | 454/500 [00:22<00:02, 19.58it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:02, 20.39it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 20.06it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:02, 18.11it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:02, 16.96it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 19.60it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 20.98it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 20.13it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 21.45it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 21.15it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 20.71it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 20.74it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 20.28it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 20.75it/s]
eval model::  99%|█████████▉| 495/500 [00:24<00:00, 20.27it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 21.66it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.91it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:36, 13.72it/s]
eval model::   1%|          | 5/500 [00:00<00:25, 19.16it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.78it/s]
eval model::   2%|▏         | 11/500 [00:00<00:26, 18.48it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 19.42it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.28it/s]
eval model::   4%|▍         | 20/500 [00:01<00:22, 21.33it/s]
eval model::   5%|▍         | 24/500 [00:01<00:19, 23.88it/s]
eval model::   5%|▌         | 27/500 [00:01<00:20, 23.19it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 22.06it/s]
eval model::   7%|▋         | 33/500 [00:01<00:21, 21.53it/s]
eval model::   7%|▋         | 36/500 [00:01<00:21, 21.85it/s]
eval model::   8%|▊         | 39/500 [00:01<00:23, 19.92it/s]
eval model::   8%|▊         | 42/500 [00:02<00:24, 18.32it/s]
eval model::   9%|▉         | 45/500 [00:02<00:22, 20.25it/s]
eval model::  10%|▉         | 48/500 [00:02<00:21, 20.64it/s]
eval model::  10%|█         | 51/500 [00:02<00:22, 20.28it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 20.62it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:20, 21.31it/s]
eval model::  12%|█▏        | 60/500 [00:02<00:21, 20.48it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.90it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.98it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 19.90it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.66it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:20, 20.59it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:19, 21.25it/s]
eval model::  16%|█▌        | 81/500 [00:03<00:18, 22.29it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.18it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.20it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 18.00it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:23, 17.50it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:24, 16.92it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:22, 18.35it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:20, 19.61it/s]
eval model::  20%|██        | 101/500 [00:05<00:21, 18.56it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 20.46it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 21.38it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:17, 21.71it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:18, 21.05it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:17, 21.97it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:16, 22.44it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:17, 21.65it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:18, 20.71it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:17, 21.17it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:18, 19.56it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:18, 19.59it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:18, 20.20it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:17, 21.16it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.60it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.17it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 19.84it/s]
eval model::  30%|███       | 151/500 [00:07<00:18, 18.41it/s]
eval model::  31%|███       | 154/500 [00:07<00:16, 20.83it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:15, 22.15it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:20, 16.26it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:20, 16.44it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:18, 18.29it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 18.58it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 19.12it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:19, 16.99it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:19, 16.77it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.04it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:20, 15.22it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 18.18it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 20.16it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:14, 21.32it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:13, 22.26it/s]
eval model::  39%|███▉      | 196/500 [00:09<00:14, 20.43it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 20.78it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 21.24it/s]
eval model::  41%|████      | 205/500 [00:10<00:26, 11.21it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:23, 12.52it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:22, 13.10it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.37it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.11it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 12.93it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 14.76it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 15.18it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:14, 18.37it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:13, 20.59it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 22.12it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 20.75it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 20.89it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:12, 21.05it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:13, 19.55it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 21.74it/s]
eval model::  50%|█████     | 250/500 [00:13<00:11, 21.45it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 21.77it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 21.28it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:11, 21.64it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:11, 20.04it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:13, 18.06it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:13, 17.81it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 19.19it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.57it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 18.05it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.61it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:11, 19.36it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:10, 20.21it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:15, 13.81it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:13, 16.17it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 17.32it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.29it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:13, 15.26it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 18.02it/s]
eval model::  60%|██████    | 301/500 [00:15<00:11, 17.57it/s]
eval model::  61%|██████    | 304/500 [00:16<00:09, 19.82it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:09, 21.26it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 20.98it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 20.07it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:08, 20.67it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:09, 19.38it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:09, 18.88it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.99it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 21.13it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:07, 21.33it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 21.90it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 19.41it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:10, 15.77it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 17.50it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 18.31it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 20.97it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 23.61it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:06, 21.28it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:06, 20.37it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 19.44it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 18.67it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 19.67it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 20.39it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.40it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 24.12it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:04, 23.73it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:04, 23.31it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:07, 15.24it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 17.12it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 18.36it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 20.34it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 19.92it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 21.35it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 21.88it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 21.06it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:04, 20.90it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 19.54it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 17.18it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 16.11it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 16.43it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.38it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 15.48it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 18.50it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 20.20it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 23.32it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 22.97it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 20.68it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 22.24it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 21.87it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 21.89it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:01, 23.54it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 24.61it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 24.26it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 19.39it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 17.57it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 19.10it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 20.12it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 20.04it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 21.86it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 21.83it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 22.38it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 21.34it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 20.98it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 20.83it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 19.96it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 22.92it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.44it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:35, 13.98it/s]
eval model::   1%|          | 5/500 [00:00<00:22, 21.83it/s]
eval model::   2%|▏         | 8/500 [00:00<00:24, 20.39it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.60it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 19.68it/s]
eval model::   4%|▎         | 18/500 [00:00<00:20, 23.18it/s]
eval model::   4%|▍         | 21/500 [00:01<00:22, 21.53it/s]
eval model::   5%|▌         | 25/500 [00:01<00:19, 23.84it/s]
eval model::   6%|▌         | 28/500 [00:01<00:21, 22.03it/s]
eval model::   6%|▌         | 31/500 [00:01<00:22, 20.45it/s]
eval model::   7%|▋         | 34/500 [00:01<00:23, 20.12it/s]
eval model::   7%|▋         | 37/500 [00:01<00:21, 21.49it/s]
eval model::   8%|▊         | 40/500 [00:01<00:23, 19.77it/s]
eval model::   9%|▊         | 43/500 [00:02<00:22, 20.27it/s]
eval model::   9%|▉         | 46/500 [00:02<00:21, 21.34it/s]
eval model::  10%|▉         | 49/500 [00:02<00:20, 21.64it/s]
eval model::  10%|█         | 52/500 [00:02<00:20, 21.83it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 21.07it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:21, 20.51it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 15.74it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.36it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.64it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 20.43it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:22, 19.19it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:21, 19.93it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:20, 20.13it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:21, 19.24it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:21, 19.11it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:21, 19.15it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 18.90it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.31it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.21it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:18, 21.58it/s]
eval model::  20%|██        | 100/500 [00:05<00:20, 19.67it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.39it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.56it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 21.43it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 20.36it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:19, 19.26it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:19, 19.85it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.50it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.43it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.45it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 18.86it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:19, 18.47it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:20, 17.68it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:19, 19.08it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.86it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.29it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:20, 17.73it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:20, 17.47it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:20, 16.83it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.70it/s]
eval model::  31%|███       | 153/500 [00:07<00:18, 18.83it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 21.33it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 20.12it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:18, 18.16it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:17, 19.65it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:15, 21.12it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:16, 20.54it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:17, 19.00it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:16, 19.48it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:20, 15.61it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 17.89it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.10it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:17, 18.22it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:16, 18.50it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:14, 20.73it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:13, 21.70it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 21.70it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.61it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 15.11it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:18, 15.86it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.46it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.49it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 15.30it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:15, 17.86it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:16, 16.66it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:14, 18.88it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:12, 20.96it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 21.22it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 20.87it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 21.70it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 22.53it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:12, 21.03it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 22.05it/s]
eval model::  50%|█████     | 250/500 [00:12<00:11, 21.29it/s]
eval model::  51%|█████     | 253/500 [00:12<00:11, 22.39it/s]
eval model::  51%|█████     | 256/500 [00:13<00:12, 20.18it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:12, 19.79it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:12, 19.77it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:12, 18.13it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:11, 20.34it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:10, 21.85it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:10, 21.78it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:11, 19.78it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:10, 21.51it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:09, 21.88it/s]
eval model::  57%|█████▋    | 286/500 [00:14<00:14, 15.24it/s]
eval model::  58%|█████▊    | 289/500 [00:14<00:12, 17.44it/s]
eval model::  58%|█████▊    | 292/500 [00:14<00:10, 19.74it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:12, 16.96it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:09, 20.61it/s]
eval model::  60%|██████    | 302/500 [00:15<00:09, 20.50it/s]
eval model::  61%|██████    | 305/500 [00:15<00:08, 22.15it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:08, 23.56it/s]
eval model::  62%|██████▏   | 311/500 [00:15<00:08, 23.32it/s]
eval model::  63%|██████▎   | 314/500 [00:15<00:08, 22.77it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:07, 23.44it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:07, 24.40it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:07, 22.65it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:07, 23.52it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:08, 20.26it/s]
eval model::  66%|██████▋   | 332/500 [00:16<00:07, 21.38it/s]
eval model::  67%|██████▋   | 335/500 [00:16<00:08, 20.47it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 19.44it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:09, 16.84it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:08, 18.84it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:07, 20.43it/s]
eval model::  70%|███████   | 350/500 [00:17<00:06, 21.54it/s]
eval model::  71%|███████   | 353/500 [00:17<00:06, 22.19it/s]
eval model::  71%|███████   | 356/500 [00:18<00:07, 19.05it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:07, 17.69it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:08, 16.87it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 17.66it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 17.57it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 19.52it/s]
eval model::  74%|███████▍  | 372/500 [00:18<00:06, 20.17it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 22.15it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:05, 23.99it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 23.60it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 21.95it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:08, 13.78it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:06, 15.76it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:06, 17.75it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 19.61it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:04, 21.43it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 21.07it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 22.94it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:03, 23.53it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:04, 21.65it/s]
eval model::  83%|████████▎ | 414/500 [00:20<00:04, 20.37it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 18.18it/s]
eval model::  84%|████████▍ | 419/500 [00:21<00:04, 17.55it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:05, 15.73it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 16.61it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 19.13it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 22.14it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:02, 23.14it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:02, 22.36it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:02, 21.42it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 22.06it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 21.12it/s]
eval model::  90%|█████████ | 450/500 [00:22<00:02, 19.01it/s]
eval model::  91%|█████████ | 453/500 [00:22<00:02, 20.45it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 19.94it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:01, 20.65it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:02, 18.84it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 18.37it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 19.99it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 21.48it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 20.29it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:00, 22.57it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 22.33it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 21.52it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 20.05it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 21.35it/s]
eval model::  99%|█████████▊| 493/500 [00:24<00:00, 21.25it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 18.16it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 18.00it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.72it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:31, 15.99it/s]
eval model::   1%|          | 5/500 [00:00<00:26, 18.63it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.78it/s]
eval model::   2%|▏         | 10/500 [00:00<00:26, 18.69it/s]
eval model::   2%|▏         | 12/500 [00:00<00:28, 17.21it/s]
eval model::   3%|▎         | 14/500 [00:00<00:28, 16.95it/s]
eval model::   3%|▎         | 17/500 [00:00<00:25, 19.28it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.32it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.32it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 19.64it/s]
eval model::   6%|▌         | 29/500 [00:01<00:24, 19.58it/s]
eval model::   6%|▌         | 31/500 [00:01<00:25, 18.28it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 19.16it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.45it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.43it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 18.21it/s]
eval model::   9%|▉         | 45/500 [00:02<00:22, 20.57it/s]
eval model::  10%|▉         | 48/500 [00:02<00:22, 20.05it/s]
eval model::  10%|█         | 51/500 [00:02<00:21, 21.18it/s]
eval model::  11%|█         | 54/500 [00:02<00:20, 22.05it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:20, 21.23it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:20, 21.34it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.47it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 18.93it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:21, 19.79it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:21, 19.86it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 21.24it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:18, 22.59it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.91it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 22.34it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 19.69it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.52it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 19.39it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:19, 20.42it/s]
eval model::  20%|██        | 100/500 [00:05<00:20, 19.71it/s]
eval model::  21%|██        | 103/500 [00:05<00:18, 21.59it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 19.84it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:19, 20.04it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:20, 19.10it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:19, 19.50it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:19, 19.51it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:20, 18.88it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.04it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:18, 20.45it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 20.67it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.22it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:17, 21.39it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:17, 20.23it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.56it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:15, 22.21it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 20.64it/s]
eval model::  30%|███       | 151/500 [00:07<00:18, 18.62it/s]
eval model::  31%|███       | 155/500 [00:07<00:15, 21.80it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:15, 21.43it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:18, 18.36it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:18, 18.04it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:16, 20.27it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 20.61it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 19.42it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:18, 17.30it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:18, 17.65it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:20, 15.81it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:18, 17.50it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.23it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.07it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 19.90it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:14, 20.83it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.61it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 21.21it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.14it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 14.75it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:19, 15.26it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:19, 15.12it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 15.97it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.82it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.47it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.41it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:16, 17.04it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:13, 20.36it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:13, 20.67it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:11, 22.58it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 21.19it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.27it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:12, 20.55it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 21.60it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:11, 22.36it/s]
eval model::  50%|█████     | 251/500 [00:12<00:10, 23.05it/s]
eval model::  51%|█████     | 254/500 [00:12<00:11, 20.79it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 20.93it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 21.94it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 20.00it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:13, 17.92it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:11, 19.30it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:11, 20.56it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.55it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 21.20it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:09, 22.15it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 22.03it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:14, 14.88it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:11, 18.89it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 18.50it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:11, 17.73it/s]
eval model::  60%|██████    | 300/500 [00:15<00:11, 18.06it/s]
eval model::  61%|██████    | 303/500 [00:15<00:09, 19.88it/s]
eval model::  61%|██████    | 306/500 [00:15<00:09, 20.21it/s]
eval model::  62%|██████▏   | 309/500 [00:15<00:09, 20.01it/s]
eval model::  62%|██████▏   | 312/500 [00:15<00:09, 20.77it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:08, 20.96it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 22.48it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:07, 22.89it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:07, 22.86it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:07, 23.96it/s]
eval model::  66%|██████▌   | 330/500 [00:16<00:07, 22.21it/s]
eval model::  67%|██████▋   | 333/500 [00:16<00:07, 22.16it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 20.93it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:08, 19.96it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:10, 15.51it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:08, 17.98it/s]
eval model::  70%|██████▉   | 348/500 [00:17<00:07, 19.51it/s]
eval model::  70%|███████   | 351/500 [00:17<00:07, 20.98it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 22.20it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 23.11it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 22.47it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:06, 19.62it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:06, 19.38it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 21.11it/s]
eval model::  75%|███████▍  | 373/500 [00:18<00:06, 20.63it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 21.20it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 21.20it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 20.83it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 20.41it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:08, 13.65it/s]
eval model::  78%|███████▊  | 391/500 [00:19<00:06, 15.77it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 16.79it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 18.61it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 18.90it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 20.78it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 22.05it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:03, 23.71it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:03, 23.82it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 22.54it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 18.89it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:04, 16.88it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 16.24it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:04, 17.92it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 20.92it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:02, 23.49it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 24.73it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 22.68it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 21.92it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 19.95it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 20.13it/s]
eval model::  91%|█████████ | 454/500 [00:22<00:02, 21.83it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 23.08it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 21.37it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:02, 17.74it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:02, 16.58it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 18.21it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 20.57it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 20.08it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 21.90it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 21.96it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 21.48it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 19.71it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 21.66it/s]
eval model::  99%|█████████▊| 493/500 [00:24<00:00, 20.46it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 18.78it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 20.41it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.81it/s]
======================= Modified FLAGS detected =======================
FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False)
FLAGS(name='FLAGS_selected_gpus', current_value='4', default_value='')
=======================================================================
I0727 23:25:12.045023 192382 tcp_utils.cc:130] Successfully connected to 127.0.0.1:57742
I0727 23:25:12.092198 192382 process_group_nccl.cc:120] ProcessGroupNCCL pg_timeout_ 1800000
W0727 23:25:12.103286 192382 gpu_resources.cc:119] Please NOTE: device: 4, GPU Compute Capability: 90.2, Driver API Version: 50724.2, Runtime API Version: 50724.2

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:00,  8.21it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.97it/s]
eval model::   1%|          | 6/500 [00:00<00:36, 13.52it/s]
eval model::   2%|▏         | 9/500 [00:00<00:28, 16.98it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.82it/s]
eval model::   3%|▎         | 13/500 [00:00<00:28, 17.28it/s]
eval model::   3%|▎         | 16/500 [00:00<00:25, 18.98it/s]
eval model::   4%|▍         | 19/500 [00:01<00:26, 18.01it/s]
eval model::   4%|▍         | 21/500 [00:01<00:26, 17.78it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.19it/s]
eval model::   5%|▌         | 27/500 [00:01<00:23, 20.04it/s]
eval model::   6%|▌         | 30/500 [00:01<00:24, 19.11it/s]
eval model::   6%|▋         | 32/500 [00:01<00:27, 16.80it/s]
eval model::   7%|▋         | 34/500 [00:01<00:29, 16.05it/s]
eval model::   7%|▋         | 37/500 [00:02<00:26, 17.31it/s]
eval model::   8%|▊         | 39/500 [00:02<00:29, 15.59it/s]
eval model::   8%|▊         | 42/500 [00:02<00:28, 16.27it/s]
eval model::   9%|▉         | 44/500 [00:02<00:27, 16.77it/s]
eval model::   9%|▉         | 46/500 [00:02<00:34, 13.30it/s]
eval model::  10%|▉         | 49/500 [00:02<00:29, 15.37it/s]
eval model::  10%|█         | 51/500 [00:03<00:27, 16.29it/s]
eval model::  11%|█         | 53/500 [00:03<00:26, 16.73it/s]
eval model::  11%|█         | 55/500 [00:03<00:25, 17.36it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:24, 18.04it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:23, 18.37it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:28, 15.60it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:26, 16.27it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 19.57it/s]
eval model::  14%|█▍        | 70/500 [00:04<00:20, 21.45it/s]
eval model::  15%|█▍        | 73/500 [00:04<00:19, 22.27it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:19, 22.16it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:18, 22.36it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 20.97it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 20.71it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:19, 21.30it/s]
eval model::  18%|█▊        | 91/500 [00:05<00:21, 18.97it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:21, 19.04it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:20, 19.71it/s]
eval model::  20%|██        | 100/500 [00:05<00:22, 17.78it/s]
eval model::  21%|██        | 103/500 [00:05<00:20, 18.94it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.01it/s]
eval model::  22%|██▏       | 109/500 [00:06<00:21, 18.30it/s]
eval model::  22%|██▏       | 111/500 [00:06<00:22, 17.51it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:19, 19.71it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:19, 19.48it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:23, 16.41it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:20, 18.78it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.03it/s]
eval model::  26%|██▌       | 129/500 [00:07<00:20, 18.46it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:20, 18.34it/s]
eval model::  27%|██▋       | 134/500 [00:07<00:19, 19.06it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:18, 19.17it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:17, 20.93it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.69it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.31it/s]
eval model::  29%|██▉       | 147/500 [00:08<00:19, 18.53it/s]
eval model::  30%|███       | 150/500 [00:08<00:18, 19.35it/s]
eval model::  30%|███       | 152/500 [00:08<00:19, 18.07it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 19.61it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:17, 19.46it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:18, 18.79it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:19, 17.48it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:17, 18.98it/s]
eval model::  33%|███▎      | 167/500 [00:09<00:17, 18.64it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:17, 19.03it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:17, 18.54it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.87it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:17, 18.81it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:17, 18.79it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:15, 20.71it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:15, 20.72it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:15, 20.01it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:15, 19.98it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 21.39it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:12, 23.37it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 21.59it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.18it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:20, 14.45it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:19, 15.20it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:18, 15.66it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.18it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.52it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.76it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:16, 16.77it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:16, 16.59it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:13, 20.28it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:12, 21.85it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:11, 22.66it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 21.75it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 23.72it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:12, 21.34it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:11, 21.92it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.56it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 20.41it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.70it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.58it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:13, 17.69it/s]
eval model::  52%|█████▏    | 262/500 [00:14<00:13, 17.51it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:12, 19.16it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:12, 19.27it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 18.18it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.36it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 20.11it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 18.64it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 19.94it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 20.55it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:14, 15.02it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:12, 16.47it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:11, 17.87it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:12, 16.70it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:10, 18.83it/s]
eval model::  60%|██████    | 301/500 [00:16<00:11, 17.67it/s]
eval model::  61%|██████    | 304/500 [00:16<00:10, 19.09it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:09, 19.93it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:08, 21.19it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:08, 21.88it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:08, 22.80it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:07, 24.52it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:07, 22.52it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:07, 22.48it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 20.49it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.69it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:08, 19.17it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:08, 18.85it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 19.11it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:09, 17.11it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 18.50it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:07, 19.91it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 20.76it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 20.73it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 19.19it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:07, 18.67it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:07, 19.59it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 19.02it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.71it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 18.06it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:07, 18.43it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:06, 18.95it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:06, 20.82it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 21.95it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.46it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 21.70it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:06, 17.60it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:05, 18.69it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:05, 20.21it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:04, 21.44it/s]
eval model::  80%|███████▉  | 398/500 [00:20<00:04, 22.08it/s]
eval model::  80%|████████  | 401/500 [00:21<00:04, 20.63it/s]
eval model::  81%|████████  | 404/500 [00:21<00:04, 22.09it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 19.97it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 20.72it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:04, 20.08it/s]
eval model::  83%|████████▎ | 416/500 [00:21<00:04, 19.45it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 19.15it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:04, 17.21it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 18.52it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:04, 17.71it/s]
eval model::  86%|████████▌ | 428/500 [00:22<00:03, 18.46it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 19.39it/s]
eval model::  87%|████████▋ | 434/500 [00:22<00:03, 20.54it/s]
eval model::  87%|████████▋ | 437/500 [00:22<00:02, 22.64it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:02, 20.93it/s]
eval model::  89%|████████▊ | 443/500 [00:23<00:02, 20.60it/s]
eval model::  89%|████████▉ | 446/500 [00:23<00:02, 21.14it/s]
eval model::  90%|████████▉ | 449/500 [00:23<00:02, 20.91it/s]
eval model::  90%|█████████ | 452/500 [00:23<00:02, 22.55it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:02, 21.57it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:01, 22.52it/s]
eval model::  92%|█████████▏| 461/500 [00:24<00:01, 22.21it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:01, 20.62it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 20.08it/s]
eval model::  94%|█████████▍| 470/500 [00:24<00:01, 21.00it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 20.91it/s]
eval model::  95%|█████████▌| 476/500 [00:24<00:01, 22.10it/s]
eval model::  96%|█████████▌| 479/500 [00:24<00:00, 22.37it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 22.81it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 24.21it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 23.22it/s]
eval model::  98%|█████████▊| 491/500 [00:25<00:00, 21.34it/s]
eval model::  99%|█████████▉| 494/500 [00:25<00:00, 22.62it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 25.50it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.42it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:52,  9.53it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.11it/s]
eval model::   1%|▏         | 7/500 [00:00<00:24, 20.29it/s]
eval model::   2%|▏         | 10/500 [00:00<00:22, 21.78it/s]
eval model::   3%|▎         | 13/500 [00:00<00:24, 20.01it/s]
eval model::   3%|▎         | 16/500 [00:00<00:23, 20.58it/s]
eval model::   4%|▍         | 19/500 [00:00<00:22, 20.99it/s]
eval model::   4%|▍         | 22/500 [00:01<00:22, 21.48it/s]
eval model::   5%|▌         | 25/500 [00:01<00:21, 21.74it/s]
eval model::   6%|▌         | 28/500 [00:01<00:21, 21.69it/s]
eval model::   6%|▌         | 31/500 [00:01<00:23, 20.25it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 19.19it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.50it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.88it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 18.23it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.95it/s]
eval model::   9%|▉         | 47/500 [00:02<00:23, 18.89it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 20.72it/s]
eval model::  11%|█         | 53/500 [00:02<00:21, 20.85it/s]
eval model::  11%|█         | 56/500 [00:02<00:22, 20.10it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:22, 19.40it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:23, 18.95it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:24, 18.03it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:21, 20.66it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:18, 23.01it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 21.35it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 22.03it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:18, 22.66it/s]
eval model::  16%|█▋        | 82/500 [00:03<00:18, 22.82it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 20.81it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 20.08it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:20, 19.73it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:19, 20.54it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:19, 20.87it/s]
eval model::  20%|██        | 100/500 [00:04<00:20, 19.64it/s]
eval model::  21%|██        | 103/500 [00:05<00:18, 20.96it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.77it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 20.94it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 19.94it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 20.61it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:18, 20.90it/s]
eval model::  24%|██▍       | 121/500 [00:05<00:18, 20.00it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 20.07it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:17, 21.14it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 19.28it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 18.42it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.95it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:16, 21.71it/s]
eval model::  28%|██▊       | 141/500 [00:06<00:16, 21.66it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.68it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 20.12it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.99it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.78it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 21.23it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:17, 19.81it/s]
eval model::  32%|███▏      | 162/500 [00:07<00:16, 20.37it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:16, 20.04it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:16, 19.74it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 19.31it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:19, 16.85it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:17, 18.38it/s]
eval model::  36%|███▌      | 180/500 [00:08<00:17, 17.86it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.57it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.84it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:16, 19.34it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 19.53it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:17, 17.81it/s]
eval model::  39%|███▉      | 197/500 [00:09<00:17, 17.46it/s]
eval model::  40%|████      | 200/500 [00:09<00:15, 19.45it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 19.96it/s]
eval model::  41%|████      | 206/500 [00:10<00:19, 15.28it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 15.49it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:17, 16.18it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:15, 18.30it/s]
eval model::  43%|████▎     | 215/500 [00:10<00:16, 17.17it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:17, 16.10it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:15, 17.83it/s]
eval model::  45%|████▍     | 223/500 [00:11<00:14, 19.59it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:13, 20.29it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:12, 22.30it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:11, 23.19it/s]
eval model::  47%|████▋     | 236/500 [00:11<00:11, 22.00it/s]
eval model::  48%|████▊     | 239/500 [00:11<00:11, 23.03it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:12, 20.27it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 21.77it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:11, 22.84it/s]
eval model::  50%|█████     | 251/500 [00:12<00:10, 22.68it/s]
eval model::  51%|█████     | 254/500 [00:12<00:10, 24.42it/s]
eval model::  51%|█████▏    | 257/500 [00:12<00:10, 23.89it/s]
eval model::  52%|█████▏    | 260/500 [00:12<00:09, 24.18it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:10, 22.71it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:11, 20.78it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:11, 20.36it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:11, 20.54it/s]
eval model::  55%|█████▌    | 275/500 [00:13<00:10, 21.34it/s]
eval model::  56%|█████▌    | 278/500 [00:13<00:09, 23.12it/s]
eval model::  56%|█████▌    | 281/500 [00:13<00:10, 19.92it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 21.43it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:14, 14.48it/s]
eval model::  58%|█████▊    | 290/500 [00:14<00:12, 16.53it/s]
eval model::  59%|█████▊    | 293/500 [00:14<00:11, 18.52it/s]
eval model::  59%|█████▉    | 296/500 [00:14<00:12, 16.41it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 18.66it/s]
eval model::  60%|██████    | 302/500 [00:15<00:10, 18.34it/s]
eval model::  61%|██████    | 305/500 [00:15<00:09, 19.72it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:09, 20.32it/s]
eval model::  62%|██████▏   | 311/500 [00:15<00:09, 20.68it/s]
eval model::  63%|██████▎   | 314/500 [00:15<00:08, 20.72it/s]
eval model::  63%|██████▎   | 317/500 [00:15<00:08, 20.41it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 21.24it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 21.05it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:08, 20.66it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:08, 20.71it/s]
eval model::  66%|██████▋   | 332/500 [00:16<00:08, 19.16it/s]
eval model::  67%|██████▋   | 336/500 [00:16<00:08, 19.97it/s]
eval model::  68%|██████▊   | 339/500 [00:16<00:08, 19.43it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:08, 18.21it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:07, 20.65it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:06, 21.99it/s]
eval model::  70%|███████   | 350/500 [00:17<00:07, 21.08it/s]
eval model::  71%|███████   | 353/500 [00:17<00:06, 21.99it/s]
eval model::  71%|███████   | 356/500 [00:17<00:07, 20.40it/s]
eval model::  72%|███████▏  | 359/500 [00:17<00:06, 21.27it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:06, 20.68it/s]
eval model::  73%|███████▎  | 365/500 [00:18<00:06, 20.37it/s]
eval model::  74%|███████▎  | 368/500 [00:18<00:06, 21.26it/s]
eval model::  74%|███████▍  | 371/500 [00:18<00:06, 20.24it/s]
eval model::  75%|███████▍  | 374/500 [00:18<00:05, 21.55it/s]
eval model::  75%|███████▌  | 377/500 [00:18<00:05, 21.79it/s]
eval model::  76%|███████▌  | 380/500 [00:18<00:06, 19.79it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:05, 21.24it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:08, 14.13it/s]
eval model::  78%|███████▊  | 389/500 [00:19<00:06, 16.31it/s]
eval model::  78%|███████▊  | 392/500 [00:19<00:05, 18.28it/s]
eval model::  79%|███████▉  | 395/500 [00:19<00:05, 18.78it/s]
eval model::  80%|███████▉  | 398/500 [00:19<00:04, 20.96it/s]
eval model::  80%|████████  | 401/500 [00:20<00:04, 20.72it/s]
eval model::  81%|████████  | 404/500 [00:20<00:04, 22.35it/s]
eval model::  81%|████████▏ | 407/500 [00:20<00:04, 22.50it/s]
eval model::  82%|████████▏ | 410/500 [00:20<00:03, 23.56it/s]
eval model::  83%|████████▎ | 413/500 [00:20<00:03, 23.25it/s]
eval model::  83%|████████▎ | 416/500 [00:20<00:04, 20.12it/s]
eval model::  84%|████████▍ | 419/500 [00:20<00:04, 18.85it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:04, 16.82it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 18.79it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 20.17it/s]
eval model::  86%|████████▌ | 430/500 [00:21<00:03, 20.46it/s]
eval model::  87%|████████▋ | 433/500 [00:21<00:03, 21.31it/s]
eval model::  87%|████████▋ | 436/500 [00:21<00:02, 22.83it/s]
eval model::  88%|████████▊ | 439/500 [00:21<00:02, 22.25it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 22.45it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 23.12it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 20.73it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 22.29it/s]
eval model::  91%|█████████ | 454/500 [00:22<00:01, 23.07it/s]
eval model::  91%|█████████▏| 457/500 [00:22<00:01, 22.25it/s]
eval model::  92%|█████████▏| 460/500 [00:22<00:01, 21.68it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 19.20it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 17.68it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 19.59it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 20.83it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 21.25it/s]
eval model::  95%|█████████▌| 477/500 [00:23<00:01, 22.10it/s]
eval model::  96%|█████████▌| 480/500 [00:23<00:00, 22.48it/s]
eval model::  97%|█████████▋| 483/500 [00:23<00:00, 22.17it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 20.08it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 20.34it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 20.15it/s]
eval model::  99%|█████████▉| 495/500 [00:24<00:00, 21.88it/s]
eval model:: 100%|█████████▉| 498/500 [00:24<00:00, 21.88it/s]
eval model:: 100%|██████████| 500/500 [00:24<00:00, 20.19it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.39it/s]
eval model::   1%|          | 3/500 [00:00<00:33, 14.84it/s]
eval model::   1%|          | 6/500 [00:00<00:24, 20.46it/s]
eval model::   2%|▏         | 9/500 [00:00<00:21, 22.51it/s]
eval model::   2%|▏         | 12/500 [00:00<00:24, 20.25it/s]
eval model::   3%|▎         | 15/500 [00:00<00:24, 19.62it/s]
eval model::   4%|▎         | 18/500 [00:00<00:21, 22.14it/s]
eval model::   4%|▍         | 21/500 [00:01<00:23, 19.99it/s]
eval model::   5%|▍         | 24/500 [00:01<00:22, 21.25it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 21.10it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 21.00it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.98it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 19.23it/s]
eval model::   8%|▊         | 39/500 [00:01<00:24, 18.99it/s]
eval model::   8%|▊         | 42/500 [00:02<00:24, 19.01it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.53it/s]
eval model::   9%|▉         | 47/500 [00:02<00:23, 19.33it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 21.06it/s]
eval model::  11%|█         | 53/500 [00:02<00:20, 21.71it/s]
eval model::  11%|█         | 56/500 [00:02<00:20, 21.82it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:21, 20.89it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:24, 18.20it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:24, 17.76it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 20.37it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.38it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 20.99it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 21.74it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:19, 21.76it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.04it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 20.85it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.45it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 18.76it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 19.11it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:20, 20.18it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:21, 18.86it/s]
eval model::  20%|██        | 101/500 [00:05<00:21, 18.22it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 20.61it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:19, 20.53it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:18, 20.53it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:19, 19.46it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:19, 19.49it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:19, 19.31it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:20, 18.40it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.14it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 20.35it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:17, 21.00it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:18, 19.72it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:16, 21.60it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:16, 22.29it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:16, 21.49it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.94it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 21.51it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:16, 20.96it/s]
eval model::  30%|███       | 151/500 [00:07<00:17, 19.83it/s]
eval model::  31%|███       | 155/500 [00:07<00:15, 22.82it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:15, 22.11it/s]
eval model::  32%|███▏      | 161/500 [00:07<00:17, 19.63it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:15, 21.04it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 18.45it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 18.53it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 18.61it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:18, 17.23it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:17, 18.22it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:18, 17.44it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.48it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.65it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 22.17it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 21.55it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:14, 20.69it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:15, 20.06it/s]
eval model::  40%|████      | 201/500 [00:10<00:17, 17.50it/s]
eval model::  41%|████      | 204/500 [00:10<00:15, 19.71it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 15.40it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:18, 16.03it/s]
eval model::  42%|████▏     | 212/500 [00:10<00:15, 18.24it/s]
eval model::  43%|████▎     | 215/500 [00:10<00:17, 16.18it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 15.70it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:15, 17.78it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:15, 17.84it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:13, 20.68it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:12, 22.07it/s]
eval model::  46%|████▌     | 231/500 [00:11<00:11, 24.00it/s]
eval model::  47%|████▋     | 234/500 [00:11<00:11, 22.80it/s]
eval model::  47%|████▋     | 237/500 [00:11<00:11, 23.57it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:10, 24.76it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:11, 21.93it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:11, 22.60it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:11, 22.57it/s]
eval model::  50%|█████     | 252/500 [00:12<00:12, 20.61it/s]
eval model::  51%|█████     | 255/500 [00:12<00:11, 21.80it/s]
eval model::  52%|█████▏    | 258/500 [00:12<00:12, 20.05it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:12, 18.40it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:12, 18.36it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:12, 18.96it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:12, 18.29it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:11, 19.38it/s]
eval model::  55%|█████▌    | 275/500 [00:13<00:10, 20.48it/s]
eval model::  56%|█████▌    | 278/500 [00:13<00:09, 22.71it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 21.65it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 22.00it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:15, 13.87it/s]
eval model::  58%|█████▊    | 290/500 [00:14<00:13, 16.09it/s]
eval model::  59%|█████▊    | 293/500 [00:14<00:11, 18.41it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:12, 16.79it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 18.06it/s]
eval model::  60%|██████    | 302/500 [00:15<00:11, 17.37it/s]
eval model::  61%|██████    | 304/500 [00:15<00:11, 17.67it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:09, 19.63it/s]
eval model::  62%|██████▏   | 310/500 [00:15<00:09, 19.80it/s]
eval model::  63%|██████▎   | 313/500 [00:15<00:09, 20.62it/s]
eval model::  63%|██████▎   | 316/500 [00:15<00:08, 20.76it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 22.36it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:07, 22.46it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:07, 23.69it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:07, 23.62it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:07, 22.67it/s]
eval model::  67%|██████▋   | 334/500 [00:16<00:06, 23.78it/s]
eval model::  67%|██████▋   | 337/500 [00:16<00:07, 20.48it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:09, 17.36it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:08, 19.34it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 21.01it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:07, 21.48it/s]
eval model::  70%|███████   | 352/500 [00:17<00:07, 21.00it/s]
eval model::  71%|███████   | 355/500 [00:17<00:07, 20.13it/s]
eval model::  72%|███████▏  | 358/500 [00:17<00:07, 20.06it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:07, 17.96it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 17.83it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 18.23it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 19.86it/s]
eval model::  74%|███████▍  | 372/500 [00:18<00:06, 20.07it/s]
eval model::  75%|███████▌  | 375/500 [00:18<00:05, 21.61it/s]
eval model::  76%|███████▌  | 378/500 [00:18<00:05, 23.20it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 21.06it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 21.46it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:06, 16.19it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:06, 17.82it/s]
eval model::  78%|███████▊  | 392/500 [00:19<00:05, 18.21it/s]
eval model::  79%|███████▉  | 394/500 [00:19<00:05, 18.30it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 19.83it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 19.93it/s]
eval model::  81%|████████  | 404/500 [00:20<00:04, 22.23it/s]
eval model::  81%|████████▏ | 407/500 [00:20<00:04, 22.25it/s]
eval model::  82%|████████▏ | 410/500 [00:20<00:04, 21.44it/s]
eval model::  83%|████████▎ | 413/500 [00:20<00:04, 20.67it/s]
eval model::  83%|████████▎ | 416/500 [00:20<00:04, 18.08it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 18.24it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 17.38it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 17.79it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 18.24it/s]
eval model::  85%|████████▌ | 426/500 [00:21<00:04, 18.26it/s]
eval model::  86%|████████▌ | 429/500 [00:21<00:03, 20.95it/s]
eval model::  86%|████████▋ | 432/500 [00:21<00:02, 22.75it/s]
eval model::  87%|████████▋ | 435/500 [00:21<00:02, 22.83it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:02, 22.54it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:02, 20.20it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 22.24it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 22.51it/s]
eval model::  90%|█████████ | 450/500 [00:22<00:02, 21.33it/s]
eval model::  91%|█████████ | 453/500 [00:22<00:02, 20.40it/s]
eval model::  91%|█████████ | 456/500 [00:22<00:02, 20.54it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:01, 20.87it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:02, 18.64it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:02, 16.80it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 18.31it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 20.50it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 20.43it/s]
eval model::  95%|█████████▌| 477/500 [00:23<00:01, 21.82it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 22.50it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 22.58it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 21.30it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 22.55it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 21.07it/s]
eval model::  99%|█████████▉| 495/500 [00:24<00:00, 21.35it/s]
eval model:: 100%|█████████▉| 498/500 [00:24<00:00, 22.32it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.98it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.30it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 17.72it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 18.22it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 18.02it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 18.00it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 19.55it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.78it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.85it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.17it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.39it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 19.95it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.38it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 18.77it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.46it/s]
eval model::   8%|▊         | 40/500 [00:02<00:22, 20.01it/s]
eval model::   9%|▊         | 43/500 [00:02<00:23, 19.13it/s]
eval model::   9%|▉         | 46/500 [00:02<00:25, 17.91it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 19.44it/s]
eval model::  10%|█         | 52/500 [00:02<00:22, 20.26it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.96it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:20, 21.53it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:23, 18.71it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:24, 17.82it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:21, 20.34it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:19, 21.96it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:19, 22.24it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 21.86it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:19, 21.48it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.26it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.18it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.13it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 17.94it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:23, 17.73it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.11it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:20, 19.68it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.91it/s]
eval model::  20%|██        | 101/500 [00:05<00:21, 18.19it/s]
eval model::  21%|██        | 104/500 [00:05<00:20, 19.11it/s]
eval model::  21%|██        | 106/500 [00:05<00:20, 19.16it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 20.67it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:20, 18.98it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:19, 19.42it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:18, 20.63it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:18, 20.63it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:17, 21.14it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:17, 21.11it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 18.94it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:18, 20.18it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:16, 21.50it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:17, 20.80it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:16, 21.22it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 21.38it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:16, 20.90it/s]
eval model::  30%|███       | 151/500 [00:07<00:18, 19.26it/s]
eval model::  31%|███       | 154/500 [00:07<00:16, 20.82it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:16, 20.50it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:17, 19.06it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:17, 19.74it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:15, 21.35it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 20.60it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:17, 18.44it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:20, 16.29it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:17, 18.36it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:18, 17.04it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 18.22it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 19.68it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 19.44it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 19.71it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:15, 20.05it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 21.03it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.14it/s]
eval model::  41%|████      | 205/500 [00:10<00:20, 14.72it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 15.75it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:17, 16.34it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:16, 17.77it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:17, 16.61it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 15.61it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:17, 16.50it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:16, 16.78it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:14, 19.07it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:14, 18.66it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:12, 21.26it/s]
eval model::  46%|████▋     | 232/500 [00:11<00:11, 23.00it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:11, 22.57it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 23.61it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:10, 24.75it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:11, 21.82it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 22.11it/s]
eval model::  50%|█████     | 250/500 [00:12<00:11, 21.83it/s]
eval model::  51%|█████     | 253/500 [00:12<00:12, 20.38it/s]
eval model::  51%|█████     | 256/500 [00:13<00:12, 20.01it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:12, 19.65it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:11, 19.88it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:12, 19.15it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:11, 20.35it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:11, 19.82it/s]
eval model::  55%|█████▍    | 274/500 [00:13<00:11, 20.10it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 17.88it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 18.08it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.74it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:15, 13.96it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:13, 15.80it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 17.83it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 17.53it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:11, 17.19it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 18.88it/s]
eval model::  60%|██████    | 301/500 [00:15<00:11, 17.20it/s]
eval model::  61%|██████    | 304/500 [00:15<00:10, 19.34it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:09, 20.69it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.37it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:08, 21.61it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:08, 21.91it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:07, 23.28it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:08, 21.53it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:07, 22.01it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:08, 21.15it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:08, 20.41it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 22.44it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:07, 21.57it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:08, 18.42it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:08, 19.43it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 21.36it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:06, 22.82it/s]
eval model::  70%|███████   | 352/500 [00:17<00:06, 24.16it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 22.09it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 21.00it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 20.00it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 17.80it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 17.69it/s]
eval model::  74%|███████▎  | 368/500 [00:18<00:07, 17.61it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:07, 17.64it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:07, 17.26it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 19.51it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:05, 21.85it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 22.47it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:04, 24.37it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:06, 16.68it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 17.41it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 18.30it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 20.12it/s]
eval model::  80%|████████  | 400/500 [00:20<00:04, 20.65it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 21.66it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 22.25it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:03, 23.89it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:03, 25.07it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 22.55it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 19.99it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:04, 16.84it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 17.69it/s]
eval model::  85%|████████▌ | 426/500 [00:21<00:04, 18.02it/s]
eval model::  86%|████████▌ | 429/500 [00:21<00:03, 19.95it/s]
eval model::  86%|████████▋ | 432/500 [00:21<00:03, 20.98it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:02, 22.91it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 24.59it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 24.41it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 23.57it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 22.56it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 21.04it/s]
eval model::  91%|█████████ | 454/500 [00:22<00:02, 21.85it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:01, 24.70it/s]
eval model::  92%|█████████▏| 461/500 [00:23<00:01, 24.05it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:01, 21.61it/s]
eval model::  93%|█████████▎| 467/500 [00:23<00:01, 20.13it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 21.81it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 19.89it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 20.78it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 20.46it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 20.16it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 17.42it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 18.40it/s]
eval model::  98%|█████████▊| 491/500 [00:24<00:00, 18.44it/s]
eval model::  99%|█████████▊| 493/500 [00:24<00:00, 18.31it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 19.36it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 23.65it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.88it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:51,  9.72it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.95it/s]
eval model::   1%|▏         | 7/500 [00:00<00:25, 18.96it/s]
eval model::   2%|▏         | 10/500 [00:00<00:23, 20.83it/s]
eval model::   3%|▎         | 13/500 [00:00<00:23, 20.96it/s]
eval model::   3%|▎         | 16/500 [00:00<00:23, 21.01it/s]
eval model::   4%|▍         | 19/500 [00:00<00:24, 19.48it/s]
eval model::   4%|▍         | 22/500 [00:01<00:23, 20.63it/s]
eval model::   5%|▌         | 25/500 [00:01<00:23, 20.32it/s]
eval model::   6%|▌         | 28/500 [00:01<00:23, 20.28it/s]
eval model::   6%|▌         | 31/500 [00:01<00:24, 19.20it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.50it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 19.58it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 18.00it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 18.24it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.20it/s]
eval model::  10%|▉         | 48/500 [00:02<00:21, 20.61it/s]
eval model::  10%|█         | 51/500 [00:02<00:20, 21.49it/s]
eval model::  11%|█         | 54/500 [00:02<00:20, 21.84it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:21, 21.01it/s]
eval model::  12%|█▏        | 60/500 [00:02<00:19, 22.44it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:23, 18.89it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:19, 22.59it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.45it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 21.35it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 22.15it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:19, 21.15it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.30it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 21.06it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.47it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.62it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 19.20it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:19, 20.38it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:17, 22.51it/s]
eval model::  20%|██        | 102/500 [00:04<00:17, 22.76it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 22.18it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:19, 20.27it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 20.64it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 21.25it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 20.52it/s]
eval model::  24%|██▍       | 120/500 [00:05<00:19, 19.76it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 20.99it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 18.87it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 21.00it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:18, 19.63it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:17, 21.29it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:16, 21.42it/s]
eval model::  28%|██▊       | 141/500 [00:06<00:18, 19.10it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.45it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 18.93it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.16it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.76it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 20.60it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:17, 20.00it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:17, 18.93it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:17, 19.53it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:16, 20.74it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:15, 20.60it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:16, 19.38it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:15, 21.06it/s]
eval model::  36%|███▌      | 180/500 [00:08<00:16, 19.69it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:13, 22.70it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:14, 21.31it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:14, 21.85it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:13, 22.40it/s]
eval model::  39%|███▉      | 196/500 [00:09<00:14, 21.51it/s]
eval model::  40%|███▉      | 199/500 [00:09<00:14, 21.41it/s]
eval model::  40%|████      | 202/500 [00:09<00:13, 21.56it/s]
eval model::  41%|████      | 205/500 [00:10<00:18, 16.34it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:16, 17.94it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:17, 16.64it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:16, 17.23it/s]
eval model::  43%|████▎     | 215/500 [00:10<00:17, 16.27it/s]
eval model::  43%|████▎     | 217/500 [00:10<00:18, 15.10it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.34it/s]
eval model::  45%|████▍     | 223/500 [00:11<00:14, 19.52it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:13, 21.01it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:11, 24.11it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:10, 24.90it/s]
eval model::  47%|████▋     | 236/500 [00:11<00:10, 24.49it/s]
eval model::  48%|████▊     | 240/500 [00:11<00:10, 25.66it/s]
eval model::  49%|████▊     | 243/500 [00:11<00:11, 21.87it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:10, 23.23it/s]
eval model::  50%|█████     | 250/500 [00:12<00:10, 24.34it/s]
eval model::  51%|█████     | 253/500 [00:12<00:10, 23.28it/s]
eval model::  51%|█████     | 256/500 [00:12<00:10, 22.19it/s]
eval model::  52%|█████▏    | 259/500 [00:12<00:10, 22.83it/s]
eval model::  52%|█████▏    | 262/500 [00:12<00:10, 22.12it/s]
eval model::  53%|█████▎    | 265/500 [00:12<00:11, 20.94it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:11, 20.70it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:10, 21.64it/s]
eval model::  55%|█████▍    | 274/500 [00:13<00:11, 19.79it/s]
eval model::  55%|█████▌    | 277/500 [00:13<00:11, 18.67it/s]
eval model::  56%|█████▌    | 280/500 [00:13<00:10, 20.56it/s]
eval model::  57%|█████▋    | 283/500 [00:13<00:10, 20.78it/s]
eval model::  57%|█████▋    | 286/500 [00:14<00:15, 13.54it/s]
eval model::  58%|█████▊    | 289/500 [00:14<00:13, 15.92it/s]
eval model::  58%|█████▊    | 292/500 [00:14<00:11, 17.88it/s]
eval model::  59%|█████▉    | 295/500 [00:14<00:12, 16.59it/s]
eval model::  60%|█████▉    | 299/500 [00:14<00:10, 19.84it/s]
eval model::  60%|██████    | 302/500 [00:14<00:10, 19.33it/s]
eval model::  61%|██████    | 305/500 [00:15<00:09, 19.79it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:09, 20.83it/s]
eval model::  62%|██████▏   | 311/500 [00:15<00:08, 22.07it/s]
eval model::  63%|██████▎   | 314/500 [00:15<00:08, 22.17it/s]
eval model::  63%|██████▎   | 317/500 [00:15<00:08, 22.64it/s]
eval model::  64%|██████▍   | 321/500 [00:15<00:07, 24.38it/s]
eval model::  65%|██████▍   | 324/500 [00:15<00:08, 21.48it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:07, 22.43it/s]
eval model::  66%|██████▌   | 330/500 [00:16<00:08, 20.58it/s]
eval model::  67%|██████▋   | 333/500 [00:16<00:08, 20.36it/s]
eval model::  67%|██████▋   | 336/500 [00:16<00:08, 20.48it/s]
eval model::  68%|██████▊   | 339/500 [00:16<00:08, 19.87it/s]
eval model::  68%|██████▊   | 342/500 [00:16<00:09, 17.17it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:07, 19.42it/s]
eval model::  70%|██████▉   | 348/500 [00:17<00:07, 20.93it/s]
eval model::  70%|███████   | 351/500 [00:17<00:07, 19.64it/s]
eval model::  71%|███████   | 354/500 [00:17<00:07, 19.44it/s]
eval model::  71%|███████▏  | 357/500 [00:17<00:07, 20.06it/s]
eval model::  72%|███████▏  | 360/500 [00:17<00:06, 20.34it/s]
eval model::  73%|███████▎  | 363/500 [00:17<00:06, 21.03it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 19.10it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 20.41it/s]
eval model::  74%|███████▍  | 372/500 [00:18<00:06, 20.78it/s]
eval model::  75%|███████▌  | 375/500 [00:18<00:05, 21.08it/s]
eval model::  76%|███████▌  | 378/500 [00:18<00:05, 21.56it/s]
eval model::  76%|███████▌  | 381/500 [00:18<00:05, 21.69it/s]
eval model::  77%|███████▋  | 384/500 [00:18<00:05, 21.68it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:08, 14.10it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:07, 15.69it/s]
eval model::  79%|███████▊  | 393/500 [00:19<00:06, 17.63it/s]
eval model::  79%|███████▉  | 396/500 [00:19<00:05, 19.05it/s]
eval model::  80%|███████▉  | 399/500 [00:19<00:04, 21.06it/s]
eval model::  80%|████████  | 402/500 [00:19<00:04, 21.31it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 22.90it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:03, 25.30it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:03, 25.73it/s]
eval model::  83%|████████▎ | 415/500 [00:20<00:03, 26.13it/s]
eval model::  84%|████████▎ | 418/500 [00:20<00:03, 21.58it/s]
eval model::  84%|████████▍ | 421/500 [00:20<00:04, 18.49it/s]
eval model::  85%|████████▍ | 424/500 [00:20<00:03, 20.37it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 20.67it/s]
eval model::  86%|████████▌ | 430/500 [00:21<00:03, 21.71it/s]
eval model::  87%|████████▋ | 433/500 [00:21<00:03, 20.34it/s]
eval model::  87%|████████▋ | 437/500 [00:21<00:02, 23.33it/s]
eval model::  88%|████████▊ | 440/500 [00:21<00:03, 19.98it/s]
eval model::  89%|████████▉ | 444/500 [00:21<00:02, 23.14it/s]
eval model::  89%|████████▉ | 447/500 [00:21<00:02, 23.27it/s]
eval model::  90%|█████████ | 450/500 [00:22<00:02, 21.08it/s]
eval model::  91%|█████████ | 453/500 [00:22<00:02, 21.92it/s]
eval model::  91%|█████████ | 456/500 [00:22<00:02, 20.88it/s]
eval model::  92%|█████████▏| 459/500 [00:22<00:01, 21.03it/s]
eval model::  92%|█████████▏| 462/500 [00:22<00:02, 18.96it/s]
eval model::  93%|█████████▎| 465/500 [00:22<00:01, 18.57it/s]
eval model::  94%|█████████▎| 468/500 [00:22<00:01, 20.66it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 20.51it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 20.17it/s]
eval model::  95%|█████████▌| 477/500 [00:23<00:01, 20.99it/s]
eval model::  96%|█████████▌| 480/500 [00:23<00:00, 21.24it/s]
eval model::  97%|█████████▋| 483/500 [00:23<00:00, 20.34it/s]
eval model::  97%|█████████▋| 486/500 [00:23<00:00, 19.30it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 19.94it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 19.79it/s]
eval model::  99%|█████████▉| 495/500 [00:24<00:00, 20.56it/s]
eval model:: 100%|█████████▉| 498/500 [00:24<00:00, 21.81it/s]
eval model:: 100%|██████████| 500/500 [00:24<00:00, 20.39it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.41it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.60it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.42it/s]
eval model::   2%|▏         | 9/500 [00:00<00:24, 19.96it/s]
eval model::   2%|▏         | 11/500 [00:00<00:24, 19.68it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 19.00it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.64it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.00it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.67it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.43it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.65it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 20.84it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 20.03it/s]
eval model::   8%|▊         | 38/500 [00:01<00:21, 21.08it/s]
eval model::   8%|▊         | 41/500 [00:02<00:21, 20.90it/s]
eval model::   9%|▉         | 44/500 [00:02<00:22, 20.38it/s]
eval model::   9%|▉         | 47/500 [00:02<00:21, 20.91it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 21.31it/s]
eval model::  11%|█         | 53/500 [00:02<00:20, 21.44it/s]
eval model::  11%|█         | 56/500 [00:02<00:20, 21.29it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:21, 20.46it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:24, 17.69it/s]
eval model::  13%|█▎        | 65/500 [00:03<00:22, 19.26it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:19, 21.72it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:19, 22.00it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:21, 20.10it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:20, 20.26it/s]
eval model::  16%|█▌        | 81/500 [00:03<00:19, 21.81it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 20.90it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 20.98it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 19.06it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:20, 20.13it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:18, 21.67it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:18, 22.09it/s]
eval model::  20%|██        | 102/500 [00:04<00:19, 20.48it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 22.46it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:16, 24.04it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 21.33it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:16, 23.29it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:16, 22.69it/s]
eval model::  24%|██▍       | 120/500 [00:05<00:17, 21.25it/s]
eval model::  25%|██▍       | 123/500 [00:05<00:17, 21.88it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:17, 21.25it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 20.74it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 18.53it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:17, 20.66it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:16, 21.74it/s]
eval model::  28%|██▊       | 141/500 [00:06<00:17, 21.09it/s]
eval model::  29%|██▉       | 144/500 [00:06<00:16, 21.57it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.44it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.63it/s]
eval model::  31%|███       | 153/500 [00:07<00:18, 18.85it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 20.42it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:16, 20.57it/s]
eval model::  32%|███▏      | 162/500 [00:07<00:20, 16.55it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:20, 16.31it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:19, 17.19it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:17, 19.16it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:17, 18.96it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:18, 17.90it/s]
eval model::  36%|███▌      | 178/500 [00:08<00:16, 19.48it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:19, 15.97it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:16, 19.37it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:15, 20.27it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:14, 21.73it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:12, 23.56it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:13, 22.93it/s]
eval model::  40%|████      | 201/500 [00:09<00:13, 22.69it/s]
eval model::  41%|████      | 204/500 [00:09<00:12, 23.60it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:18, 15.68it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:18, 15.38it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:18, 15.84it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:17, 15.95it/s]
eval model::  43%|████▎     | 215/500 [00:10<00:19, 14.55it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.64it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 15.56it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 15.50it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:13, 19.63it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:11, 23.11it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:11, 23.16it/s]
eval model::  47%|████▋     | 236/500 [00:11<00:11, 23.67it/s]
eval model::  48%|████▊     | 239/500 [00:11<00:10, 25.17it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:12, 20.29it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 21.93it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:10, 23.61it/s]
eval model::  50%|█████     | 251/500 [00:12<00:11, 20.96it/s]
eval model::  51%|█████     | 254/500 [00:12<00:12, 20.15it/s]
eval model::  51%|█████▏    | 257/500 [00:12<00:12, 19.73it/s]
eval model::  52%|█████▏    | 260/500 [00:12<00:11, 20.09it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 20.09it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:13, 17.84it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:12, 19.12it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:11, 19.22it/s]
eval model::  55%|█████▌    | 275/500 [00:13<00:11, 19.29it/s]
eval model::  56%|█████▌    | 278/500 [00:13<00:10, 20.21it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:11, 19.87it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 20.30it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:15, 13.36it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:12, 16.98it/s]
eval model::  59%|█████▉    | 294/500 [00:14<00:11, 17.71it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:11, 18.38it/s]
eval model::  60%|██████    | 300/500 [00:15<00:11, 16.87it/s]
eval model::  61%|██████    | 303/500 [00:15<00:10, 18.75it/s]
eval model::  61%|██████    | 306/500 [00:15<00:10, 18.96it/s]
eval model::  62%|██████▏   | 309/500 [00:15<00:09, 20.83it/s]
eval model::  62%|██████▏   | 312/500 [00:15<00:08, 22.38it/s]
eval model::  63%|██████▎   | 315/500 [00:15<00:08, 21.69it/s]
eval model::  64%|██████▎   | 318/500 [00:15<00:07, 22.76it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:07, 23.41it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:07, 23.07it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:07, 24.28it/s]
eval model::  66%|██████▌   | 330/500 [00:16<00:07, 22.21it/s]
eval model::  67%|██████▋   | 333/500 [00:16<00:07, 23.42it/s]
eval model::  67%|██████▋   | 336/500 [00:16<00:07, 21.12it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:08, 18.73it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:10, 15.64it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:08, 17.95it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:07, 19.37it/s]
eval model::  70%|███████   | 351/500 [00:17<00:06, 22.34it/s]
eval model::  71%|███████   | 355/500 [00:17<00:06, 23.07it/s]
eval model::  72%|███████▏  | 358/500 [00:17<00:06, 22.97it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 21.45it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:06, 19.57it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:07, 18.54it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 19.44it/s]
eval model::  74%|███████▍  | 372/500 [00:18<00:06, 18.78it/s]
eval model::  75%|███████▌  | 375/500 [00:18<00:06, 19.97it/s]
eval model::  76%|███████▌  | 378/500 [00:18<00:06, 20.31it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 20.34it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 20.01it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:07, 15.04it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:06, 17.58it/s]
eval model::  79%|███████▊  | 393/500 [00:19<00:05, 19.34it/s]
eval model::  79%|███████▉  | 396/500 [00:19<00:05, 20.53it/s]
eval model::  80%|████████  | 400/500 [00:20<00:04, 22.31it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 23.53it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 23.24it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:03, 23.55it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:03, 22.63it/s]
eval model::  83%|████████▎ | 415/500 [00:20<00:04, 20.74it/s]
eval model::  84%|████████▎ | 418/500 [00:20<00:04, 18.59it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 17.95it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:04, 19.22it/s]
eval model::  85%|████████▌ | 425/500 [00:21<00:03, 18.90it/s]
eval model::  86%|████████▌ | 428/500 [00:21<00:03, 20.74it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 21.82it/s]
eval model::  87%|████████▋ | 434/500 [00:21<00:03, 20.46it/s]
eval model::  87%|████████▋ | 437/500 [00:21<00:03, 20.24it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:03, 19.38it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 22.12it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 21.01it/s]
eval model::  90%|█████████ | 450/500 [00:22<00:02, 19.83it/s]
eval model::  91%|█████████ | 453/500 [00:22<00:02, 21.18it/s]
eval model::  91%|█████████ | 456/500 [00:22<00:02, 19.97it/s]
eval model::  92%|█████████▏| 459/500 [00:22<00:02, 20.18it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:01, 19.27it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 17.81it/s]
eval model::  94%|█████████▍| 469/500 [00:23<00:01, 20.67it/s]
eval model::  94%|█████████▍| 472/500 [00:23<00:01, 21.62it/s]
eval model::  95%|█████████▌| 475/500 [00:23<00:01, 21.85it/s]
eval model::  96%|█████████▌| 478/500 [00:23<00:00, 22.56it/s]
eval model::  96%|█████████▌| 481/500 [00:23<00:00, 21.87it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 22.86it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 20.39it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 21.22it/s]
eval model::  99%|█████████▊| 493/500 [00:24<00:00, 20.93it/s]
eval model::  99%|█████████▉| 496/500 [00:24<00:00, 19.35it/s]
eval model:: 100%|█████████▉| 498/500 [00:24<00:00, 19.07it/s]
eval model:: 100%|██████████| 500/500 [00:24<00:00, 18.57it/s]
eval model:: 100%|██████████| 500/500 [00:24<00:00, 20.02it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:37, 13.36it/s]
eval model::   1%|          | 5/500 [00:00<00:25, 19.39it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.27it/s]
eval model::   2%|▏         | 11/500 [00:00<00:24, 19.89it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 19.78it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.34it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.72it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.34it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 19.74it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 20.47it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.41it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 18.89it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.54it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.76it/s]
eval model::   8%|▊         | 42/500 [00:02<00:24, 18.98it/s]
eval model::   9%|▉         | 45/500 [00:02<00:21, 21.44it/s]
eval model::  10%|▉         | 48/500 [00:02<00:20, 22.34it/s]
eval model::  10%|█         | 51/500 [00:02<00:22, 19.54it/s]
eval model::  11%|█         | 54/500 [00:02<00:22, 20.16it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:22, 19.81it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.85it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 16.07it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.67it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 19.60it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 19.46it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:21, 20.00it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:20, 20.14it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.51it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.01it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.56it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.62it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:20, 19.74it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:18, 21.64it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:18, 22.19it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.33it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 19.78it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:19, 20.07it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 18.96it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:19, 20.26it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 20.25it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:17, 21.62it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 22.05it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.49it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 20.66it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 18.66it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:17, 20.60it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:17, 20.63it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 21.06it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.52it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 18.97it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.55it/s]
eval model::  31%|███       | 153/500 [00:07<00:18, 18.50it/s]
eval model::  31%|███       | 156/500 [00:07<00:17, 20.17it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:17, 19.68it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:18, 17.98it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:17, 18.92it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 18.85it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 19.80it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:16, 19.90it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:18, 17.56it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.07it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:17, 18.05it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 18.83it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:16, 19.02it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 19.47it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:13, 22.51it/s]
eval model::  39%|███▉      | 197/500 [00:09<00:15, 19.06it/s]
eval model::  40%|████      | 200/500 [00:10<00:15, 19.38it/s]
eval model::  41%|████      | 203/500 [00:10<00:15, 18.97it/s]
eval model::  41%|████      | 205/500 [00:10<00:20, 14.56it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 16.19it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:17, 16.38it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:16, 17.26it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:17, 16.32it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:17, 15.83it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:15, 18.30it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:16, 16.56it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 19.63it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:13, 19.93it/s]
eval model::  46%|████▋     | 232/500 [00:11<00:11, 22.69it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:11, 22.09it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 22.95it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:10, 23.57it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:11, 22.35it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 22.95it/s]
eval model::  50%|█████     | 250/500 [00:12<00:11, 21.98it/s]
eval model::  51%|█████     | 253/500 [00:12<00:10, 23.07it/s]
eval model::  51%|█████     | 256/500 [00:12<00:10, 22.43it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:11, 21.12it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:11, 20.21it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:13, 17.69it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:13, 17.88it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:12, 18.85it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:11, 19.03it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:13, 17.10it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.58it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 21.32it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 23.03it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:14, 14.76it/s]
eval model::  58%|█████▊    | 290/500 [00:14<00:12, 17.17it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:12, 17.21it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:13, 14.83it/s]
eval model::  60%|█████▉    | 298/500 [00:15<00:12, 15.69it/s]
eval model::  60%|██████    | 300/500 [00:15<00:12, 16.45it/s]
eval model::  60%|██████    | 302/500 [00:15<00:11, 17.08it/s]
eval model::  61%|██████    | 305/500 [00:15<00:10, 18.62it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:09, 20.13it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:08, 21.99it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 22.43it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:07, 22.91it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 22.37it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 21.43it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:08, 21.56it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:08, 19.73it/s]
eval model::  66%|██████▋   | 332/500 [00:16<00:07, 21.24it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 21.60it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 19.30it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:10, 15.85it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:07, 19.42it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:06, 22.50it/s]
eval model::  70%|███████   | 352/500 [00:17<00:06, 22.13it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 22.00it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 21.61it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 20.75it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:06, 20.28it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:06, 19.78it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 19.89it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 19.53it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 18.57it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:06, 19.83it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:06, 17.46it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:06, 18.86it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:08, 13.40it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:07, 15.82it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 17.82it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:05, 18.88it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:04, 21.44it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 20.75it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 22.41it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:03, 23.65it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:03, 25.17it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 24.03it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 20.13it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 18.08it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:03, 19.70it/s]
eval model::  85%|████████▌ | 426/500 [00:21<00:03, 20.61it/s]
eval model::  86%|████████▌ | 429/500 [00:21<00:03, 20.28it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 20.05it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:03, 19.54it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:03, 19.37it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:03, 17.77it/s]
eval model::  89%|████████▊ | 443/500 [00:22<00:02, 20.12it/s]
eval model::  89%|████████▉ | 446/500 [00:22<00:02, 19.34it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 19.43it/s]
eval model::  90%|█████████ | 450/500 [00:22<00:02, 19.35it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 20.88it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 20.26it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:01, 20.78it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:02, 18.50it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:01, 18.33it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:01, 17.32it/s]
eval model::  94%|█████████▍| 469/500 [00:23<00:01, 19.82it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 18.10it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 17.86it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 18.72it/s]
eval model::  96%|█████████▌| 479/500 [00:24<00:01, 17.89it/s]
eval model::  96%|█████████▋| 482/500 [00:24<00:00, 18.92it/s]
eval model::  97%|█████████▋| 485/500 [00:24<00:00, 20.35it/s]
eval model::  98%|█████████▊| 488/500 [00:24<00:00, 19.21it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 19.15it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 18.37it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 21.17it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 23.30it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.58it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:36, 13.61it/s]
eval model::   1%|          | 4/500 [00:00<00:30, 16.07it/s]
eval model::   1%|          | 6/500 [00:00<00:29, 16.58it/s]
eval model::   2%|▏         | 8/500 [00:00<00:29, 16.75it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.65it/s]
eval model::   3%|▎         | 13/500 [00:00<00:27, 17.40it/s]
eval model::   3%|▎         | 15/500 [00:00<00:27, 17.92it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.61it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 18.99it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.19it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 21.28it/s]
eval model::   6%|▌         | 30/500 [00:01<00:20, 22.75it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.38it/s]
eval model::   7%|▋         | 36/500 [00:01<00:22, 20.27it/s]
eval model::   8%|▊         | 39/500 [00:02<00:23, 19.62it/s]
eval model::   8%|▊         | 42/500 [00:02<00:23, 19.84it/s]
eval model::   9%|▉         | 45/500 [00:02<00:20, 21.81it/s]
eval model::  10%|▉         | 48/500 [00:02<00:23, 19.38it/s]
eval model::  10%|█         | 51/500 [00:02<00:21, 20.64it/s]
eval model::  11%|█         | 54/500 [00:02<00:20, 21.51it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:21, 20.72it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:20, 21.24it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.35it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 18.01it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 20.32it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:19, 21.94it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 21.96it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:19, 21.76it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.97it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 20.94it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 20.01it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 18.94it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 19.23it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:20, 19.85it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:20, 19.79it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.07it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 20.10it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:21, 18.43it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:20, 18.57it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:19, 20.22it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:18, 20.47it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:19, 19.79it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:18, 20.71it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:19, 18.87it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:18, 20.15it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:18, 19.56it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:18, 20.19it/s]
eval model::  27%|██▋       | 137/500 [00:06<00:18, 19.96it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:17, 20.33it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.62it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 20.01it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:17, 20.02it/s]
eval model::  30%|███       | 152/500 [00:07<00:17, 19.39it/s]
eval model::  31%|███       | 155/500 [00:07<00:17, 20.22it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:16, 21.18it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.70it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.05it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 19.44it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 20.48it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 20.21it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:17, 18.18it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:15, 20.27it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 17.16it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:18, 17.40it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 20.33it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:14, 21.43it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:12, 23.71it/s]
eval model::  39%|███▉      | 197/500 [00:09<00:14, 21.56it/s]
eval model::  40%|████      | 200/500 [00:10<00:13, 22.62it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 21.56it/s]
eval model::  41%|████      | 206/500 [00:10<00:18, 15.91it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 15.80it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:17, 16.40it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:16, 17.67it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.62it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.20it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.77it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 15.86it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:14, 18.73it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:12, 21.15it/s]
eval model::  46%|████▋     | 232/500 [00:11<00:12, 21.91it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 20.85it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 21.76it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:12, 21.29it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:12, 20.22it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 21.09it/s]
eval model::  50%|█████     | 250/500 [00:12<00:11, 20.85it/s]
eval model::  51%|█████     | 253/500 [00:12<00:11, 21.84it/s]
eval model::  51%|█████     | 256/500 [00:13<00:12, 19.67it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:12, 20.00it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:11, 19.85it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:13, 17.61it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:13, 17.65it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:12, 18.63it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:12, 18.48it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 18.80it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 18.94it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.76it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 21.61it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:14, 15.10it/s]
eval model::  58%|█████▊    | 290/500 [00:14<00:11, 17.58it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:11, 18.37it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:11, 17.67it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 19.89it/s]
eval model::  60%|██████    | 302/500 [00:15<00:11, 17.00it/s]
eval model::  61%|██████    | 305/500 [00:15<00:10, 18.82it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:09, 20.13it/s]
eval model::  62%|██████▏   | 311/500 [00:15<00:08, 21.84it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 21.41it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 22.14it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:07, 23.07it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 21.54it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:08, 21.66it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:08, 20.43it/s]
eval model::  66%|██████▋   | 332/500 [00:16<00:08, 20.70it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 21.29it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 19.05it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:10, 15.36it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:07, 19.50it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:07, 21.64it/s]
eval model::  70%|███████   | 350/500 [00:17<00:06, 21.62it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 22.28it/s]
eval model::  71%|███████   | 356/500 [00:18<00:06, 20.99it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 20.45it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:06, 19.91it/s]
eval model::  73%|███████▎  | 365/500 [00:18<00:07, 17.57it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:07, 17.76it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 19.89it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 19.21it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 20.89it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:05, 21.87it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:05, 22.12it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:07, 15.43it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:05, 18.79it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:05, 18.80it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 19.84it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:04, 21.29it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 21.78it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 23.51it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:03, 23.82it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:03, 23.26it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:04, 21.23it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 19.66it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 17.17it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 17.10it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 17.02it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 18.79it/s]
eval model::  86%|████████▌ | 430/500 [00:21<00:03, 21.21it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 21.36it/s]
eval model::  87%|████████▋ | 437/500 [00:22<00:02, 24.35it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:02, 21.03it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 24.45it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 24.59it/s]
eval model::  90%|█████████ | 450/500 [00:22<00:02, 21.70it/s]
eval model::  91%|█████████ | 453/500 [00:22<00:02, 21.48it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 20.93it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:01, 21.40it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:01, 20.52it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 17.98it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 19.01it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 19.64it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 18.54it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 20.53it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 20.06it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 21.23it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 18.66it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 21.03it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 19.84it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 20.21it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 20.04it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.75it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:52,  9.58it/s]
eval model::   1%|          | 4/500 [00:00<00:24, 19.90it/s]
eval model::   1%|▏         | 7/500 [00:00<00:22, 22.41it/s]
eval model::   2%|▏         | 10/500 [00:00<00:24, 19.75it/s]
eval model::   3%|▎         | 13/500 [00:00<00:24, 19.90it/s]
eval model::   3%|▎         | 16/500 [00:00<00:23, 20.57it/s]
eval model::   4%|▍         | 19/500 [00:00<00:23, 20.33it/s]
eval model::   4%|▍         | 22/500 [00:01<00:23, 20.18it/s]
eval model::   5%|▌         | 25/500 [00:01<00:24, 19.10it/s]
eval model::   6%|▌         | 28/500 [00:01<00:24, 19.51it/s]
eval model::   6%|▌         | 31/500 [00:01<00:24, 19.18it/s]
eval model::   7%|▋         | 34/500 [00:01<00:23, 20.04it/s]
eval model::   7%|▋         | 37/500 [00:01<00:21, 21.40it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 17.98it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.76it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.71it/s]
eval model::   9%|▉         | 47/500 [00:02<00:25, 18.00it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 20.78it/s]
eval model::  11%|█         | 53/500 [00:02<00:19, 22.49it/s]
eval model::  11%|█         | 56/500 [00:02<00:20, 21.26it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:22, 19.95it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:25, 17.25it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:24, 17.76it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:19, 22.03it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:20, 20.56it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:23, 18.51it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:22, 18.76it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:21, 19.96it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:20, 20.05it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 19.97it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.07it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.38it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.43it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:22, 18.41it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:20, 19.73it/s]
eval model::  20%|██        | 100/500 [00:05<00:22, 17.73it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.29it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.04it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.25it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 21.16it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:15, 24.14it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:16, 22.92it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:17, 21.71it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:19, 19.02it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:17, 20.68it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:19, 18.50it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:18, 19.79it/s]
eval model::  27%|██▋       | 137/500 [00:06<00:19, 19.04it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.77it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:19, 18.87it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:18, 19.22it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:18, 19.41it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:20, 17.59it/s]
eval model::  30%|███       | 151/500 [00:07<00:20, 16.81it/s]
eval model::  31%|███       | 155/500 [00:07<00:17, 19.35it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:17, 19.21it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:18, 18.64it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.46it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 18.31it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 19.31it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 20.48it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:17, 18.53it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:19, 16.25it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:17, 18.82it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 16.87it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 18.47it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 18.55it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 18.83it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:16, 18.40it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:15, 20.01it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:16, 18.40it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:16, 18.50it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 18.77it/s]
eval model::  41%|████      | 204/500 [00:10<00:14, 20.31it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:22, 12.76it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:22, 13.13it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 13.79it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:21, 13.61it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:23, 12.31it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:23, 12.13it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:19, 14.38it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.53it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:18, 14.80it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:18, 15.12it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 18.41it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 21.02it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:13, 20.35it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 21.05it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:12, 20.37it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:13, 18.90it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:12, 20.75it/s]
eval model::  50%|█████     | 250/500 [00:13<00:11, 20.98it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 22.29it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 21.38it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:10, 23.37it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:11, 20.91it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:12, 18.82it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:12, 18.76it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 17.89it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 19.09it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 18.76it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.87it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.90it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 22.72it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:15, 14.06it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:12, 16.48it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:12, 16.31it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:14, 14.50it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:12, 16.14it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 15.35it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 17.28it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 17.74it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:10, 18.91it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 19.83it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 20.73it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:09, 19.87it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 21.26it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 20.86it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 21.35it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 21.19it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.68it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 21.35it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 18.57it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 14.55it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.88it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.70it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 20.01it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 20.69it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 20.70it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 20.42it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:06, 20.11it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:06, 19.48it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:06, 19.50it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 20.63it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 18.70it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 18.85it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 20.56it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:06, 18.42it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 19.97it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:07, 14.14it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 16.53it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:05, 18.43it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 20.00it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.92it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 20.09it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 19.69it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 20.63it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 21.28it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 22.02it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 20.06it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:04, 17.24it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 17.32it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 17.19it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 17.07it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 20.93it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 21.55it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:02, 23.52it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 24.60it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 22.62it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 22.74it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 22.57it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 21.52it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 20.60it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:02, 19.80it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:02, 18.69it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 16.72it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 15.44it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 17.32it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 18.90it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 19.32it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 21.08it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 21.73it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 22.72it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 21.11it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 21.85it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 20.28it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 20.57it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 22.21it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.06it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:59,  8.43it/s]
eval model::   1%|          | 3/500 [00:00<00:33, 14.70it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.52it/s]
eval model::   2%|▏         | 8/500 [00:00<00:30, 16.29it/s]
eval model::   2%|▏         | 11/500 [00:00<00:26, 18.17it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 20.02it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.09it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.27it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.04it/s]
eval model::   5%|▌         | 26/500 [00:01<00:21, 21.62it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 20.59it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 21.11it/s]
eval model::   7%|▋         | 35/500 [00:01<00:22, 20.61it/s]
eval model::   8%|▊         | 38/500 [00:01<00:23, 19.73it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.47it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.11it/s]
eval model::   9%|▉         | 44/500 [00:02<00:26, 17.54it/s]
eval model::   9%|▉         | 46/500 [00:02<00:25, 17.69it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 21.18it/s]
eval model::  11%|█         | 53/500 [00:02<00:19, 22.73it/s]
eval model::  11%|█         | 56/500 [00:02<00:20, 21.72it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:20, 21.12it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:24, 17.68it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:25, 17.10it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:19, 21.63it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:18, 22.68it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:21, 19.49it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:22, 18.76it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:20, 20.90it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 21.37it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:19, 21.03it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:20, 20.11it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:20, 19.89it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:19, 20.93it/s]
eval model::  20%|█▉        | 98/500 [00:04<00:18, 21.67it/s]
eval model::  20%|██        | 101/500 [00:05<00:19, 20.15it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 21.18it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:19, 19.94it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:19, 20.10it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:19, 19.90it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:19, 19.66it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:18, 20.57it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:17, 21.31it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:19, 18.76it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:19, 18.77it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:20, 18.20it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 18.53it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:17, 21.20it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:16, 21.60it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:15, 22.47it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 19.87it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.01it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.10it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.83it/s]
eval model::  31%|███       | 156/500 [00:07<00:15, 21.56it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:16, 21.06it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:17, 19.01it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:17, 19.64it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 19.06it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 18.69it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:19, 16.86it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:17, 18.97it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:17, 18.70it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:14, 22.16it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:13, 23.16it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:12, 24.75it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:12, 23.96it/s]
eval model::  39%|███▉      | 196/500 [00:09<00:14, 20.40it/s]
eval model::  40%|███▉      | 199/500 [00:09<00:14, 20.98it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 21.26it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 15.16it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:17, 16.28it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:17, 16.46it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:15, 18.11it/s]
eval model::  43%|████▎     | 215/500 [00:10<00:17, 16.18it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 15.61it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:15, 18.14it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:12, 21.88it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:12, 21.90it/s]
eval model::  46%|████▋     | 232/500 [00:11<00:10, 24.94it/s]
eval model::  47%|████▋     | 235/500 [00:11<00:11, 23.22it/s]
eval model::  48%|████▊     | 238/500 [00:11<00:10, 24.23it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 23.23it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:12, 20.54it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 21.37it/s]
eval model::  50%|█████     | 250/500 [00:12<00:13, 18.57it/s]
eval model::  51%|█████     | 253/500 [00:12<00:12, 20.51it/s]
eval model::  51%|█████     | 256/500 [00:12<00:11, 20.91it/s]
eval model::  52%|█████▏    | 259/500 [00:12<00:10, 22.25it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:10, 22.41it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:11, 21.36it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:11, 20.25it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:10, 20.95it/s]
eval model::  55%|█████▍    | 274/500 [00:13<00:11, 20.08it/s]
eval model::  55%|█████▌    | 277/500 [00:13<00:12, 18.13it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 18.24it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.16it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:16, 13.09it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:14, 15.01it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:11, 17.44it/s]
eval model::  59%|█████▉    | 294/500 [00:14<00:12, 16.94it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:12, 16.42it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 18.88it/s]
eval model::  60%|██████    | 302/500 [00:15<00:11, 17.79it/s]
eval model::  61%|██████    | 304/500 [00:15<00:10, 18.10it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:09, 20.40it/s]
eval model::  62%|██████▏   | 310/500 [00:15<00:08, 22.71it/s]
eval model::  63%|██████▎   | 313/500 [00:15<00:07, 24.27it/s]
eval model::  63%|██████▎   | 316/500 [00:15<00:07, 23.75it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:07, 25.16it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:07, 23.33it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:07, 22.15it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:07, 21.71it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:08, 20.46it/s]
eval model::  67%|██████▋   | 334/500 [00:16<00:08, 20.18it/s]
eval model::  67%|██████▋   | 337/500 [00:16<00:08, 18.72it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:08, 18.84it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:10, 14.77it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:10, 15.67it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:08, 17.29it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:07, 19.61it/s]
eval model::  70%|███████   | 352/500 [00:17<00:07, 19.06it/s]
eval model::  71%|███████   | 355/500 [00:17<00:06, 21.26it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 20.49it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:07, 18.79it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 18.51it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:06, 19.06it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 20.80it/s]
eval model::  75%|███████▍  | 373/500 [00:18<00:06, 19.68it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:06, 19.60it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 20.90it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:06, 19.36it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 20.86it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:07, 15.93it/s]
eval model::  78%|███████▊  | 391/500 [00:19<00:05, 18.38it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 19.71it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:04, 21.88it/s]
eval model::  80%|████████  | 400/500 [00:20<00:04, 21.86it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 22.80it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 21.23it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:04, 19.18it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:04, 19.22it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 18.83it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 17.71it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:05, 14.83it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:05, 15.19it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 15.39it/s]
eval model::  85%|████████▌ | 426/500 [00:21<00:04, 15.97it/s]
eval model::  86%|████████▌ | 429/500 [00:21<00:03, 19.06it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 20.36it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 23.37it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 21.98it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 21.10it/s]
eval model::  89%|████████▉ | 446/500 [00:22<00:02, 23.27it/s]
eval model::  90%|████████▉ | 449/500 [00:22<00:02, 22.11it/s]
eval model::  90%|█████████ | 452/500 [00:22<00:02, 22.71it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:02, 20.72it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:02, 20.79it/s]
eval model::  92%|█████████▏| 461/500 [00:23<00:01, 19.96it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:01, 20.20it/s]
eval model::  93%|█████████▎| 467/500 [00:23<00:01, 19.89it/s]
eval model::  94%|█████████▍| 470/500 [00:23<00:01, 19.40it/s]
eval model::  94%|█████████▍| 472/500 [00:23<00:01, 19.45it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 18.87it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 20.77it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 20.52it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 20.09it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 20.03it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 20.36it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 19.52it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 20.09it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 19.79it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.24it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.72it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:55,  9.04it/s]
eval model::   1%|          | 3/500 [00:00<00:33, 14.92it/s]
eval model::   1%|          | 6/500 [00:00<00:26, 18.66it/s]
eval model::   2%|▏         | 9/500 [00:00<00:22, 21.54it/s]
eval model::   2%|▏         | 12/500 [00:00<00:22, 21.29it/s]
eval model::   3%|▎         | 15/500 [00:00<00:22, 21.72it/s]
eval model::   4%|▍         | 19/500 [00:00<00:21, 22.32it/s]
eval model::   4%|▍         | 22/500 [00:01<00:20, 22.99it/s]
eval model::   5%|▌         | 25/500 [00:01<00:21, 21.60it/s]
eval model::   6%|▌         | 28/500 [00:01<00:23, 20.41it/s]
eval model::   6%|▌         | 31/500 [00:01<00:25, 18.64it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.36it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 20.11it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 18.08it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.96it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.36it/s]
eval model::   9%|▉         | 47/500 [00:02<00:23, 18.89it/s]
eval model::  10%|█         | 50/500 [00:02<00:22, 20.18it/s]
eval model::  11%|█         | 53/500 [00:02<00:21, 20.90it/s]
eval model::  11%|█         | 56/500 [00:02<00:22, 19.65it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:21, 20.26it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:24, 17.86it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:24, 17.66it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 18.93it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.02it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:21, 20.16it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 21.60it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:19, 21.42it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.11it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 19.87it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:23, 17.75it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.25it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:23, 17.30it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:21, 19.08it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:20, 19.95it/s]
eval model::  20%|██        | 101/500 [00:05<00:19, 19.98it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 20.72it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 20.98it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:18, 21.12it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:18, 20.77it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:19, 19.92it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:18, 20.66it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:17, 21.20it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:19, 19.39it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:17, 21.46it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:18, 19.78it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:17, 20.95it/s]
eval model::  27%|██▋       | 137/500 [00:06<00:16, 21.50it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:17, 21.08it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:16, 21.44it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:16, 21.16it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:17, 19.98it/s]
eval model::  30%|███       | 152/500 [00:07<00:17, 19.87it/s]
eval model::  31%|███       | 155/500 [00:07<00:15, 21.93it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:16, 20.82it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.51it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.83it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 18.86it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 18.55it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.71it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:21, 15.22it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:18, 17.27it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.32it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:20, 15.58it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 17.74it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:17, 18.03it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:17, 17.60it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:17, 17.90it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:14, 20.59it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:14, 20.37it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:13, 21.50it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 22.47it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 14.98it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 15.60it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:16, 17.16it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:16, 17.53it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:17, 16.06it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.84it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:18, 15.51it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:18, 15.14it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:15, 17.91it/s]
eval model::  45%|████▌     | 227/500 [00:11<00:13, 19.58it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 20.92it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 22.02it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 20.45it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:13, 19.41it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:13, 18.61it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:15, 17.11it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:13, 18.82it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:12, 20.33it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 21.69it/s]
eval model::  51%|█████     | 255/500 [00:13<00:10, 22.36it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 22.50it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 20.73it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 20.92it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:10, 21.52it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:10, 22.45it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:10, 21.34it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 19.35it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.17it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.81it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 20.69it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:15, 13.35it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.49it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.04it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:13, 15.60it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 17.96it/s]
eval model::  60%|██████    | 302/500 [00:15<00:10, 18.11it/s]
eval model::  61%|██████    | 305/500 [00:15<00:09, 19.78it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 21.12it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:08, 22.04it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 23.00it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:07, 22.91it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:07, 23.51it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 21.93it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:07, 23.28it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:07, 22.47it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 22.35it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:06, 23.76it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 18.33it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:10, 15.15it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:08, 17.48it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:07, 19.18it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 20.85it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 21.93it/s]
eval model::  71%|███████   | 356/500 [00:18<00:06, 22.18it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 22.92it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:06, 22.60it/s]
eval model::  73%|███████▎  | 365/500 [00:18<00:06, 21.26it/s]
eval model::  74%|███████▎  | 368/500 [00:18<00:06, 21.00it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:05, 21.84it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:05, 21.61it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 21.49it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:05, 20.78it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:05, 21.27it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:08, 13.50it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 16.86it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:05, 18.17it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:06, 17.30it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:05, 18.45it/s]
eval model::  80%|████████  | 402/500 [00:20<00:05, 19.08it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 20.98it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:04, 22.81it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 24.02it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 22.62it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 20.43it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 17.61it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:04, 18.89it/s]
eval model::  85%|████████▌ | 426/500 [00:21<00:04, 17.67it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 20.65it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 20.95it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:03, 21.13it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 22.27it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 21.38it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 20.33it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 18.89it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 18.30it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 19.09it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 20.17it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:02, 19.64it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:01, 19.09it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 17.56it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 18.13it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 20.19it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 18.89it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 20.56it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 20.50it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 20.29it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 18.37it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 20.54it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 19.45it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 20.78it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 22.06it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.54it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:36, 13.76it/s]
eval model::   1%|          | 5/500 [00:00<00:27, 18.09it/s]
eval model::   1%|▏         | 7/500 [00:00<00:28, 17.57it/s]
eval model::   2%|▏         | 10/500 [00:00<00:26, 18.70it/s]
eval model::   2%|▏         | 12/500 [00:00<00:27, 17.56it/s]
eval model::   3%|▎         | 15/500 [00:00<00:24, 19.91it/s]
eval model::   4%|▎         | 18/500 [00:00<00:22, 21.21it/s]
eval model::   4%|▍         | 21/500 [00:01<00:23, 20.67it/s]
eval model::   5%|▍         | 24/500 [00:01<00:21, 21.97it/s]
eval model::   5%|▌         | 27/500 [00:01<00:23, 20.34it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 21.31it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.38it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 19.51it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 18.37it/s]
eval model::   8%|▊         | 42/500 [00:02<00:24, 18.61it/s]
eval model::   9%|▉         | 45/500 [00:02<00:22, 20.42it/s]
eval model::  10%|▉         | 48/500 [00:02<00:23, 18.99it/s]
eval model::  10%|█         | 51/500 [00:02<00:22, 20.05it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 20.83it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:22, 19.88it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:20, 21.14it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:25, 16.94it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 20.33it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 20.70it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:21, 20.02it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 21.36it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:19, 21.68it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.21it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 21.87it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.55it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:20, 19.51it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:19, 20.46it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:20, 19.98it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.88it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.08it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.51it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:19, 19.74it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 19.79it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:19, 19.47it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:18, 21.06it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.06it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.41it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 18.84it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 20.94it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:18, 19.69it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:17, 20.74it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:17, 20.22it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.06it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.66it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.01it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.67it/s]
eval model::  31%|███       | 153/500 [00:07<00:18, 18.78it/s]
eval model::  31%|███       | 156/500 [00:07<00:17, 20.06it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:18, 18.53it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:18, 18.41it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:17, 19.73it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 20.36it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:15, 21.68it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:16, 19.22it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:16, 19.19it/s]
eval model::  36%|███▌      | 179/500 [00:08<00:15, 20.88it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:15, 19.89it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:14, 21.11it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:15, 20.08it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:15, 20.50it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:13, 22.29it/s]
eval model::  39%|███▉      | 197/500 [00:09<00:14, 20.26it/s]
eval model::  40%|████      | 200/500 [00:10<00:15, 19.59it/s]
eval model::  41%|████      | 203/500 [00:10<00:15, 19.52it/s]
eval model::  41%|████      | 205/500 [00:10<00:23, 12.45it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:20, 14.07it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:17, 16.13it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:17, 16.18it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.72it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.41it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.45it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:16, 16.58it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:13, 19.95it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:12, 21.80it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:11, 24.27it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:10, 24.02it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:10, 25.00it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:11, 21.59it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 21.66it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:11, 21.78it/s]
eval model::  50%|█████     | 251/500 [00:12<00:12, 20.20it/s]
eval model::  51%|█████     | 254/500 [00:12<00:11, 20.70it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 20.73it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 21.38it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:10, 21.91it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:12, 19.11it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:11, 19.82it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:11, 20.60it/s]
eval model::  55%|█████▌    | 275/500 [00:13<00:12, 18.68it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.61it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.19it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 21.41it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:13, 15.51it/s]
eval model::  58%|█████▊    | 290/500 [00:14<00:11, 18.04it/s]
eval model::  59%|█████▊    | 293/500 [00:14<00:10, 19.02it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:11, 17.87it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:09, 20.19it/s]
eval model::  60%|██████    | 302/500 [00:15<00:10, 19.39it/s]
eval model::  61%|██████    | 305/500 [00:15<00:09, 21.53it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:08, 23.28it/s]
eval model::  62%|██████▏   | 312/500 [00:15<00:07, 24.86it/s]
eval model::  63%|██████▎   | 315/500 [00:15<00:07, 24.41it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:06, 27.15it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:07, 23.05it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:07, 21.91it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:08, 20.08it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:08, 19.56it/s]
eval model::  67%|██████▋   | 335/500 [00:16<00:07, 22.72it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 20.20it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:09, 16.86it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:08, 18.31it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:08, 19.07it/s]
eval model::  70%|███████   | 350/500 [00:17<00:07, 20.19it/s]
eval model::  71%|███████   | 354/500 [00:17<00:06, 23.27it/s]
eval model::  71%|███████▏  | 357/500 [00:17<00:06, 22.50it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:06, 22.00it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:06, 20.45it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 18.90it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 19.63it/s]
eval model::  74%|███████▍  | 372/500 [00:18<00:07, 18.17it/s]
eval model::  75%|███████▌  | 375/500 [00:18<00:06, 19.08it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 22.25it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 21.93it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 21.67it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:07, 14.26it/s]
eval model::  78%|███████▊  | 391/500 [00:19<00:06, 15.83it/s]
eval model::  79%|███████▉  | 394/500 [00:19<00:06, 17.40it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 18.30it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 19.08it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 21.14it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 23.17it/s]
eval model::  82%|████████▏ | 410/500 [00:20<00:03, 24.15it/s]
eval model::  83%|████████▎ | 413/500 [00:20<00:04, 21.61it/s]
eval model::  83%|████████▎ | 416/500 [00:20<00:04, 20.09it/s]
eval model::  84%|████████▍ | 419/500 [00:21<00:04, 19.10it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:04, 16.12it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 15.22it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:04, 16.85it/s]
eval model::  86%|████████▌ | 430/500 [00:21<00:03, 18.36it/s]
eval model::  86%|████████▋ | 432/500 [00:21<00:03, 18.36it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:03, 19.78it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:02, 21.39it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:02, 19.92it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 22.67it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 22.45it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 21.58it/s]
eval model::  91%|█████████ | 454/500 [00:22<00:02, 22.48it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 23.84it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 22.22it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 20.86it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:01, 18.24it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 18.08it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 18.73it/s]
eval model::  95%|█████████▍| 473/500 [00:23<00:01, 18.69it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 18.06it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 20.38it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 20.80it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 20.29it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 18.98it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 20.27it/s]
eval model::  99%|█████████▊| 493/500 [00:24<00:00, 19.24it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 19.41it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 20.86it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.77it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:50,  9.83it/s]
eval model::   1%|          | 4/500 [00:00<00:30, 16.52it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.43it/s]
eval model::   2%|▏         | 9/500 [00:00<00:23, 20.80it/s]
eval model::   2%|▏         | 12/500 [00:00<00:24, 20.25it/s]
eval model::   3%|▎         | 15/500 [00:00<00:24, 20.14it/s]
eval model::   4%|▎         | 18/500 [00:00<00:21, 22.55it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 18.69it/s]
eval model::   5%|▍         | 24/500 [00:01<00:24, 19.76it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 21.00it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 20.67it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 19.66it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 19.09it/s]
eval model::   8%|▊         | 38/500 [00:01<00:25, 18.25it/s]
eval model::   8%|▊         | 40/500 [00:02<00:26, 17.63it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.81it/s]
eval model::   9%|▉         | 45/500 [00:02<00:22, 19.87it/s]
eval model::  10%|▉         | 48/500 [00:02<00:22, 19.78it/s]
eval model::  10%|█         | 51/500 [00:02<00:23, 19.15it/s]
eval model::  11%|█         | 54/500 [00:02<00:23, 19.20it/s]
eval model::  11%|█         | 56/500 [00:02<00:23, 18.98it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:22, 19.91it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:26, 16.45it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:26, 16.54it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 17.13it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.56it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.40it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:21, 19.64it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:22, 19.14it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 20.98it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.70it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 20.14it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.58it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.28it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:21, 18.55it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:19, 20.74it/s]
eval model::  20%|██        | 101/500 [00:05<00:21, 18.80it/s]
eval model::  21%|██        | 104/500 [00:05<00:20, 19.49it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 20.78it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:17, 22.42it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:15, 24.17it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:15, 24.72it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:15, 23.88it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:16, 23.52it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.68it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.08it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:19, 18.54it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:20, 17.70it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:18, 19.75it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:17, 20.58it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.02it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.01it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:20, 17.00it/s]
eval model::  30%|███       | 150/500 [00:07<00:19, 17.96it/s]
eval model::  30%|███       | 152/500 [00:07<00:20, 16.94it/s]
eval model::  31%|███       | 155/500 [00:07<00:17, 19.35it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 21.86it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:17, 18.91it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:17, 19.04it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 19.68it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 19.66it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:17, 18.41it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:22, 14.40it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:19, 16.57it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:21, 15.23it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 17.94it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 19.80it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.24it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 20.38it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 20.00it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 19.97it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.62it/s]
eval model::  41%|████      | 204/500 [00:10<00:14, 21.05it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:21, 13.55it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 14.30it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:19, 14.65it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.21it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.64it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 13.17it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 15.98it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 14.84it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:14, 18.30it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:13, 20.16it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 22.59it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:11, 22.70it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:10, 24.16it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:11, 22.38it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:10, 24.03it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:10, 24.15it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 21.89it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.97it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 22.07it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 20.36it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:12, 18.49it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:13, 16.86it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:12, 19.27it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:11, 19.45it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:11, 20.17it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 17.91it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 17.79it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 18.21it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:18, 11.73it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:15, 14.07it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.58it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.73it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:13, 14.92it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 17.73it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 16.84it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.20it/s]
eval model::  61%|██████    | 306/500 [00:16<00:11, 17.55it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:10, 18.56it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:09, 19.32it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 19.05it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 21.24it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:08, 21.64it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:08, 19.56it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:08, 19.72it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 19.05it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 18.72it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:08, 19.94it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 18.57it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 14.77it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 17.22it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:07, 19.43it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 19.62it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 21.13it/s]
eval model::  71%|███████   | 356/500 [00:18<00:06, 20.63it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:06, 20.57it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 19.11it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.35it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 15.52it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:08, 16.34it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:07, 17.69it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:07, 17.87it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:06, 19.03it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:06, 19.88it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 20.11it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 13.10it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:07, 15.16it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:06, 15.98it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 17.07it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 19.05it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 19.59it/s]
eval model::  81%|████████  | 403/500 [00:21<00:04, 20.28it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 20.24it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 19.92it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:04, 20.97it/s]
eval model::  83%|████████▎ | 415/500 [00:22<00:03, 21.91it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 19.83it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:04, 16.25it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 17.13it/s]
eval model::  85%|████████▌ | 427/500 [00:22<00:04, 18.21it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 19.92it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 20.59it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:02, 22.26it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 22.44it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 20.52it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 19.83it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 19.02it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 17.88it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 19.96it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:02, 21.67it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 22.51it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 18.46it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 16.68it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 17.29it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 19.14it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 18.01it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 19.58it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 20.29it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 21.50it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 21.31it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 22.31it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 19.93it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 21.34it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 24.03it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.95it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.28it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.89it/s]
eval model::   1%|          | 6/500 [00:00<00:29, 16.55it/s]
eval model::   2%|▏         | 9/500 [00:00<00:23, 20.67it/s]
eval model::   2%|▏         | 12/500 [00:00<00:25, 18.80it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.80it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.52it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.51it/s]
eval model::   5%|▍         | 23/500 [00:01<00:21, 21.97it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.50it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 21.31it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 18.95it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.51it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 19.96it/s]
eval model::   8%|▊         | 40/500 [00:02<00:26, 17.21it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.17it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.02it/s]
eval model::   9%|▉         | 47/500 [00:02<00:25, 17.49it/s]
eval model::  10%|█         | 50/500 [00:02<00:24, 18.42it/s]
eval model::  11%|█         | 53/500 [00:02<00:22, 19.95it/s]
eval model::  11%|█         | 56/500 [00:02<00:22, 19.51it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:22, 19.32it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.45it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:28, 15.58it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:28, 15.57it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 18.87it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 20.56it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 22.02it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:18, 22.98it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:18, 22.59it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.20it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 19.84it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 19.65it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:21, 19.09it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.28it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:20, 19.31it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.43it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.70it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 20.23it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:20, 19.55it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:20, 19.28it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:20, 19.26it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:20, 18.85it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:19, 19.82it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.73it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.15it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 18.79it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.34it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.38it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 20.23it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 21.29it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:16, 21.66it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.77it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 18.66it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 18.66it/s]
eval model::  30%|███       | 152/500 [00:07<00:20, 17.25it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 20.92it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.63it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:19, 17.09it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:19, 17.25it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:18, 17.69it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:18, 17.79it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 18.88it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.77it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.65it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:18, 17.33it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 18.84it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.76it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 20.86it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 20.19it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 20.51it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.86it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.07it/s]
eval model::  41%|████      | 204/500 [00:10<00:14, 19.78it/s]
eval model::  41%|████      | 206/500 [00:10<00:23, 12.45it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:23, 12.64it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:21, 13.66it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.48it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.47it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.82it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.90it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 16.08it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:14, 19.40it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:11, 22.85it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 23.09it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:11, 22.48it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:10, 23.89it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:12, 20.74it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 22.63it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:11, 22.90it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 21.10it/s]
eval model::  51%|█████     | 254/500 [00:13<00:10, 22.38it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 20.51it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 21.24it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 21.10it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:13, 17.58it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 18.64it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 19.76it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.02it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:11, 18.89it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 18.73it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 19.94it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:15, 13.48it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:12, 17.16it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:11, 18.85it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:12, 16.04it/s]
eval model::  60%|█████▉    | 298/500 [00:15<00:11, 17.81it/s]
eval model::  60%|██████    | 301/500 [00:15<00:10, 18.36it/s]
eval model::  61%|██████    | 304/500 [00:16<00:09, 19.81it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:08, 21.65it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:08, 22.47it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:08, 22.03it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:08, 21.19it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:07, 22.72it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:08, 20.13it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:08, 21.03it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 20.62it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.50it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 21.33it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:09, 17.21it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:10, 15.41it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.69it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 18.33it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 20.16it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 19.72it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 21.33it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 21.05it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:08, 17.21it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.65it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.71it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 19.78it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 20.87it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 20.74it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 21.45it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 21.68it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:04, 23.08it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:07, 14.33it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 16.26it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 17.77it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 20.14it/s]
eval model::  80%|████████  | 400/500 [00:20<00:04, 21.33it/s]
eval model::  81%|████████  | 403/500 [00:21<00:04, 22.42it/s]
eval model::  81%|████████  | 406/500 [00:21<00:03, 23.88it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 21.92it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:04, 21.30it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 20.55it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 17.73it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:04, 16.36it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 17.88it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:04, 17.10it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 21.30it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 21.87it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:02, 23.78it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:02, 23.84it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:02, 22.69it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 22.83it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 22.12it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 18.98it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 20.71it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:01, 22.01it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:01, 21.35it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 17.11it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 16.63it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 18.02it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 19.77it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 19.21it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 21.42it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 22.24it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 22.78it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 21.21it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 21.90it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 19.96it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 19.56it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 20.38it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.37it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:50,  9.89it/s]
eval model::   1%|          | 3/500 [00:00<00:31, 15.72it/s]
eval model::   1%|          | 6/500 [00:00<00:26, 18.92it/s]
eval model::   2%|▏         | 9/500 [00:00<00:24, 19.97it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.81it/s]
eval model::   3%|▎         | 13/500 [00:00<00:27, 17.66it/s]
eval model::   3%|▎         | 16/500 [00:00<00:24, 19.43it/s]
eval model::   4%|▍         | 19/500 [00:01<00:24, 19.81it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.36it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.15it/s]
eval model::   5%|▌         | 27/500 [00:01<00:26, 17.99it/s]
eval model::   6%|▌         | 30/500 [00:01<00:24, 19.08it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 18.90it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.11it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.40it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 17.92it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.22it/s]
eval model::   9%|▉         | 44/500 [00:02<00:25, 17.65it/s]
eval model::   9%|▉         | 46/500 [00:02<00:30, 14.89it/s]
eval model::  10%|▉         | 49/500 [00:02<00:25, 17.71it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 18.70it/s]
eval model::  11%|█         | 54/500 [00:02<00:23, 18.80it/s]
eval model::  11%|█         | 56/500 [00:03<00:23, 19.06it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 19.00it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.39it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.98it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 17.10it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:23, 18.38it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 20.05it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:20, 20.94it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.28it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 23.26it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.86it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 21.49it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:20, 20.38it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 19.26it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 18.90it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:22, 18.11it/s]
eval model::  20%|██        | 100/500 [00:05<00:24, 16.18it/s]
eval model::  21%|██        | 103/500 [00:05<00:21, 18.59it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.11it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.22it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:17, 22.46it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:18, 21.11it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:19, 19.67it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.63it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.45it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 20.69it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 19.09it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.22it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:17, 20.66it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.43it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.50it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.46it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 17.77it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 18.80it/s]
eval model::  30%|███       | 152/500 [00:08<00:20, 17.28it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 19.66it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 21.21it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:18, 18.65it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:16, 20.41it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 18.95it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 19.51it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:17, 18.80it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:21, 15.13it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:18, 17.26it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:21, 14.72it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:18, 17.46it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.38it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 19.74it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 20.69it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 20.71it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 19.91it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 21.00it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 14.83it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:18, 15.57it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 15.44it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.64it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 14.11it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.55it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 16.12it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:18, 15.21it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:15, 18.04it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:13, 19.84it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:11, 23.61it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 21.27it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 22.62it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 23.35it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:12, 21.00it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:11, 22.11it/s]
eval model::  50%|█████     | 250/500 [00:13<00:11, 22.02it/s]
eval model::  51%|█████     | 253/500 [00:13<00:10, 22.78it/s]
eval model::  51%|█████     | 256/500 [00:13<00:12, 20.30it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:11, 20.09it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:12, 19.67it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:13, 17.49it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:13, 17.83it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 17.90it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.71it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:13, 17.22it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 17.55it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:11, 19.87it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:10, 20.04it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:18, 11.36it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:15, 13.99it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:13, 15.56it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:15, 13.26it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:13, 15.29it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 15.13it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 15.85it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.57it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.92it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.67it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:08, 21.38it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:08, 21.37it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.32it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 18.94it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:07, 21.76it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:07, 21.38it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.93it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 23.49it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:07, 20.95it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:09, 15.96it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.25it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 18.79it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.57it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 19.46it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 18.18it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 19.05it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:07, 18.62it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 18.05it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.09it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 15.10it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:08, 16.16it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:08, 16.11it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:08, 14.92it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:07, 17.66it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 20.51it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:06, 19.20it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 21.17it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:08, 13.96it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:07, 14.40it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 15.71it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 15.87it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 17.90it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 18.15it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 17.73it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 16.57it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:05, 18.32it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 20.34it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 21.23it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 20.24it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:03, 20.69it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 17.48it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:04, 16.72it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 16.18it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:03, 18.33it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 17.74it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 20.23it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:02, 21.72it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:03, 19.97it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 22.80it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 22.31it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 21.66it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 22.27it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 22.31it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 20.66it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 17.04it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 17.40it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 14.12it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:02, 14.58it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 16.52it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 17.24it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 18.43it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:01, 19.92it/s]
eval model::  96%|█████████▋| 482/500 [00:26<00:00, 19.55it/s]
eval model::  97%|█████████▋| 485/500 [00:26<00:00, 21.65it/s]
eval model::  98%|█████████▊| 488/500 [00:26<00:00, 21.03it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 21.29it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 20.49it/s]
eval model::  99%|█████████▉| 497/500 [00:26<00:00, 22.48it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.64it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:00,  8.31it/s]
eval model::   1%|          | 4/500 [00:00<00:30, 16.08it/s]
eval model::   1%|          | 6/500 [00:00<00:31, 15.83it/s]
eval model::   2%|▏         | 9/500 [00:00<00:27, 17.97it/s]
eval model::   2%|▏         | 11/500 [00:00<00:32, 15.05it/s]
eval model::   3%|▎         | 14/500 [00:00<00:29, 16.52it/s]
eval model::   3%|▎         | 17/500 [00:01<00:26, 18.42it/s]
eval model::   4%|▍         | 19/500 [00:01<00:27, 17.63it/s]
eval model::   4%|▍         | 22/500 [00:01<00:25, 19.05it/s]
eval model::   5%|▍         | 24/500 [00:01<00:24, 19.04it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 21.17it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 21.02it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.72it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 19.28it/s]
eval model::   8%|▊         | 38/500 [00:02<00:25, 18.05it/s]
eval model::   8%|▊         | 40/500 [00:02<00:26, 17.39it/s]
eval model::   8%|▊         | 42/500 [00:02<00:29, 15.75it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.39it/s]
eval model::   9%|▉         | 47/500 [00:02<00:24, 18.69it/s]
eval model::  10%|█         | 50/500 [00:02<00:23, 19.07it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 18.67it/s]
eval model::  11%|█         | 55/500 [00:03<00:23, 19.34it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:22, 20.01it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.88it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.41it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.64it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 20.88it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 21.96it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:19, 22.15it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.65it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:17, 24.37it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:17, 23.64it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:19, 21.01it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:19, 20.46it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:19, 20.65it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:18, 22.15it/s]
eval model::  20%|██        | 101/500 [00:05<00:17, 22.17it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 21.64it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:17, 23.09it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:18, 20.83it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:18, 21.48it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:20, 18.61it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:20, 18.70it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:20, 18.94it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:21, 17.88it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:22, 16.82it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:19, 19.02it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:21, 17.19it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 17.63it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 20.27it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.93it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.88it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.31it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.56it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.46it/s]
eval model::  31%|███       | 153/500 [00:07<00:18, 18.51it/s]
eval model::  31%|███       | 156/500 [00:08<00:17, 19.46it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:20, 16.84it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:23, 14.40it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:22, 15.10it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:19, 17.01it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:18, 17.63it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:20, 16.27it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:20, 15.60it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:20, 16.03it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.10it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 16.79it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 19.68it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:16, 19.15it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:15, 19.86it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:14, 21.55it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:14, 21.06it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:13, 23.12it/s]
eval model::  40%|████      | 202/500 [00:10<00:12, 22.93it/s]
eval model::  41%|████      | 205/500 [00:10<00:21, 13.66it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:19, 14.78it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.95it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.19it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.99it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:22, 12.38it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:20, 13.66it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:20, 13.46it/s]
eval model::  45%|████▍     | 223/500 [00:12<00:18, 14.68it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.80it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 19.35it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 20.90it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 20.57it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 22.09it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:12, 21.35it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:12, 20.42it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:11, 22.56it/s]
eval model::  50%|█████     | 250/500 [00:13<00:11, 21.10it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 21.10it/s]
eval model::  51%|█████     | 256/500 [00:13<00:12, 20.08it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:11, 20.37it/s]
eval model::  52%|█████▏    | 262/500 [00:14<00:11, 20.37it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:12, 19.23it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:11, 20.85it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:10, 22.36it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:09, 22.66it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:10, 21.07it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:10, 21.71it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:09, 23.22it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:16, 12.63it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:14, 15.02it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.37it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:14, 14.29it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:12, 15.94it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 15.48it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 15.53it/s]
eval model::  61%|██████    | 304/500 [00:16<00:13, 14.81it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 17.82it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.56it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 20.47it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 18.92it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:09, 18.96it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:09, 17.96it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:10, 17.03it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:09, 19.26it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:09, 19.09it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.12it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 22.27it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 20.73it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:12, 12.60it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:10, 14.71it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.23it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.01it/s]
eval model::  70%|███████   | 352/500 [00:19<00:07, 19.95it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 19.40it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 18.84it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.96it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 18.98it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:07, 17.43it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 16.84it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:07, 18.31it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 18.24it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 20.48it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:05, 23.43it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 22.13it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:05, 21.96it/s]
eval model::  78%|███████▊  | 388/500 [00:21<00:09, 12.44it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:07, 13.98it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 15.47it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:06, 16.87it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 17.41it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 17.70it/s]
eval model::  81%|████████  | 404/500 [00:21<00:04, 19.59it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 20.97it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 21.25it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 20.99it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:03, 21.00it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 19.22it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:04, 15.97it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:04, 16.76it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 16.87it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:03, 19.60it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 19.17it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 20.96it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 21.77it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 19.96it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 21.02it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 22.48it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 22.42it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 19.97it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:02, 20.60it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 20.56it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 16.14it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 16.30it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 15.88it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 16.57it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 19.10it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 18.97it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 20.53it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 22.13it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 25.18it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 24.33it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 23.95it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 20.91it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 21.17it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 24.22it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.74it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.36it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.90it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.22it/s]
eval model::   2%|▏         | 8/500 [00:00<00:30, 16.04it/s]
eval model::   2%|▏         | 10/500 [00:00<00:30, 16.11it/s]
eval model::   2%|▏         | 12/500 [00:00<00:30, 15.85it/s]
eval model::   3%|▎         | 14/500 [00:00<00:30, 15.87it/s]
eval model::   4%|▎         | 18/500 [00:01<00:23, 20.78it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 19.01it/s]
eval model::   5%|▌         | 25/500 [00:01<00:23, 20.44it/s]
eval model::   6%|▌         | 28/500 [00:01<00:21, 21.48it/s]
eval model::   6%|▌         | 31/500 [00:01<00:23, 19.90it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 19.12it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 20.00it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 18.07it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.47it/s]
eval model::   9%|▉         | 44/500 [00:02<00:25, 17.82it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 16.94it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 18.84it/s]
eval model::  10%|█         | 51/500 [00:02<00:25, 17.94it/s]
eval model::  11%|█         | 54/500 [00:02<00:22, 20.25it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:21, 20.27it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.50it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:28, 15.45it/s]
eval model::  13%|█▎        | 65/500 [00:03<00:25, 16.84it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:22, 18.99it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:22, 19.33it/s]
eval model::  15%|█▍        | 74/500 [00:04<00:23, 18.28it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:22, 18.97it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:20, 20.22it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:20, 20.61it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:21, 19.69it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:23, 17.37it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:24, 16.75it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:24, 16.33it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:24, 16.62it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:20, 19.58it/s]
eval model::  20%|██        | 101/500 [00:05<00:21, 18.81it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 21.34it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:16, 23.93it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:15, 24.58it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:15, 25.73it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:16, 23.75it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:17, 21.64it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.61it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:18, 20.04it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.58it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 18.55it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.97it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.78it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.35it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 22.06it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 20.23it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.37it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.72it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 20.84it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 20.12it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:19, 17.18it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:18, 18.33it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 18.68it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.60it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 16.54it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.68it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.69it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 17.37it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 18.65it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:16, 18.63it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:16, 18.40it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 21.85it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:14, 20.44it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 21.36it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 21.63it/s]
eval model::  41%|████      | 206/500 [00:10<00:21, 13.88it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:20, 14.33it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.75it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.07it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.91it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:22, 12.69it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 15.54it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 15.30it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:14, 19.08it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:11, 22.54it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 24.03it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:11, 22.58it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 23.56it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:12, 21.08it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 22.40it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.52it/s]
eval model::  50%|█████     | 251/500 [00:13<00:13, 18.74it/s]
eval model::  51%|█████     | 253/500 [00:13<00:13, 18.53it/s]
eval model::  51%|█████     | 255/500 [00:13<00:14, 17.38it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:14, 16.56it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:13, 18.00it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:12, 18.86it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:14, 16.65it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:13, 16.98it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:13, 17.41it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 19.06it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.35it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:11, 19.43it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.00it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.46it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:17, 12.28it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:14, 14.80it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 17.31it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.06it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:13, 14.65it/s]
eval model::  60%|██████    | 300/500 [00:16<00:11, 17.41it/s]
eval model::  61%|██████    | 303/500 [00:16<00:10, 19.24it/s]
eval model::  61%|██████    | 306/500 [00:16<00:09, 19.97it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:09, 20.02it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:09, 20.61it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 20.47it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:07, 23.23it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 22.17it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:07, 23.39it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:07, 23.92it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:07, 23.81it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 23.47it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 20.13it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.50it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 17.36it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:07, 20.44it/s]
eval model::  70%|███████   | 351/500 [00:18<00:06, 23.01it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 22.24it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:06, 21.07it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:06, 21.58it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:06, 20.64it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.17it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 18.98it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 18.90it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 19.55it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 23.35it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 22.01it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:05, 21.51it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:08, 13.51it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:07, 15.52it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 16.92it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 18.67it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 19.36it/s]
eval model::  81%|████████  | 403/500 [00:21<00:04, 19.75it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 20.78it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 21.64it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:03, 22.15it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 21.96it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 20.33it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:04, 17.01it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 16.48it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 17.02it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 19.30it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 18.64it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:03, 20.03it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 21.71it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 20.85it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 21.43it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 21.90it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 21.40it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:01, 24.36it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 23.56it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 20.36it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 15.69it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 13.78it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:02, 15.54it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 17.44it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 17.20it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 18.33it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:01, 20.33it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 20.56it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 22.69it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 21.52it/s]
eval model::  98%|█████████▊| 491/500 [00:25<00:00, 20.02it/s]
eval model::  99%|█████████▉| 494/500 [00:25<00:00, 18.62it/s]
eval model::  99%|█████████▉| 497/500 [00:26<00:00, 19.94it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 21.47it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.06it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:42, 11.80it/s]
eval model::   1%|          | 4/500 [00:00<00:32, 15.26it/s]
eval model::   1%|          | 6/500 [00:00<00:31, 15.87it/s]
eval model::   2%|▏         | 8/500 [00:00<00:30, 16.39it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.82it/s]
eval model::   3%|▎         | 13/500 [00:00<00:27, 18.03it/s]
eval model::   3%|▎         | 15/500 [00:00<00:28, 17.26it/s]
eval model::   4%|▎         | 18/500 [00:01<00:24, 19.54it/s]
eval model::   4%|▍         | 20/500 [00:01<00:27, 17.27it/s]
eval model::   5%|▍         | 23/500 [00:01<00:25, 19.05it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.42it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 20.54it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 19.78it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.55it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 19.68it/s]
eval model::   8%|▊         | 39/500 [00:02<00:28, 16.15it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.38it/s]
eval model::   9%|▉         | 45/500 [00:02<00:25, 18.05it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 16.92it/s]
eval model::  10%|█         | 50/500 [00:02<00:24, 18.34it/s]
eval model::  10%|█         | 52/500 [00:02<00:24, 18.62it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 20.76it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.63it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:23, 18.39it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:29, 14.90it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:27, 15.84it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:21, 20.17it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:20, 21.07it/s]
eval model::  15%|█▍        | 74/500 [00:04<00:20, 20.80it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:21, 19.82it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:20, 20.98it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:18, 22.13it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:20, 19.75it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 18.02it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:23, 17.72it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:23, 17.60it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:23, 17.60it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:19, 20.26it/s]
eval model::  20%|██        | 101/500 [00:05<00:20, 19.49it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 21.45it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:16, 23.19it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:19, 19.81it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:19, 20.29it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:18, 20.65it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:18, 21.09it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:17, 21.46it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:19, 19.52it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:17, 21.11it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 18.19it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:20, 17.96it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:18, 20.18it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.99it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.07it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.69it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:18, 18.53it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 17.91it/s]
eval model::  31%|███       | 155/500 [00:08<00:15, 21.81it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:14, 22.81it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:17, 19.40it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:17, 19.41it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 20.21it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 19.90it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:16, 20.16it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.97it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:20, 15.76it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 19.20it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 19.85it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 20.36it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:14, 21.04it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:14, 20.56it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:13, 21.57it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 20.39it/s]
eval model::  41%|████      | 205/500 [00:10<00:21, 13.74it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:20, 14.43it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:19, 14.64it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:19, 15.07it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.10it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.73it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.57it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:19, 14.64it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:18, 14.86it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:16, 17.24it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:14, 18.91it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 20.90it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.12it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 19.95it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 20.76it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 18.47it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:11, 21.80it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 20.71it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 20.75it/s]
eval model::  51%|█████     | 255/500 [00:13<00:10, 22.43it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 22.74it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 23.82it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 20.60it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:12, 19.41it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 18.86it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 19.41it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 18.96it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 21.13it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:09, 22.79it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 23.95it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:17, 12.52it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:13, 16.02it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:13, 14.77it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:15, 13.37it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 15.61it/s]
eval model::  60%|██████    | 301/500 [00:16<00:14, 13.61it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.50it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:11, 16.83it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:10, 18.08it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:10, 18.29it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 20.50it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:08, 22.41it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:07, 23.98it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:07, 22.49it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:07, 23.72it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.91it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:08, 20.53it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:07, 21.28it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 14.59it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.82it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.70it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:08, 18.54it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 20.01it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 19.91it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.14it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 19.00it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.61it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 15.64it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.12it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:07, 18.42it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:06, 19.72it/s]
eval model::  75%|███████▌  | 377/500 [00:20<00:06, 20.16it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 20.15it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 20.53it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 13.29it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:07, 15.21it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:06, 15.73it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 16.36it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:06, 16.88it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 21.03it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 20.60it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 22.60it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:03, 23.88it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:03, 26.31it/s]
eval model::  83%|████████▎ | 415/500 [00:22<00:03, 24.76it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 19.58it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 15.76it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 16.57it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.38it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 19.37it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 19.72it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:03, 20.71it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 21.79it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 20.82it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 21.58it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 22.09it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 22.84it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 21.42it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:02, 21.39it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 21.49it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 18.94it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 17.33it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 18.99it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 21.42it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 19.50it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 21.00it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 21.86it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 22.14it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 21.59it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 23.39it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 20.20it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 20.45it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 24.26it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.07it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:51,  9.66it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.27it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 17.90it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.67it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 17.14it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.88it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.72it/s]
eval model::   4%|▍         | 19/500 [00:01<00:24, 19.74it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.31it/s]
eval model::   5%|▍         | 24/500 [00:01<00:24, 19.15it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 19.23it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 21.31it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 20.67it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 19.71it/s]
eval model::   8%|▊         | 38/500 [00:01<00:22, 20.10it/s]
eval model::   8%|▊         | 41/500 [00:02<00:24, 18.89it/s]
eval model::   9%|▊         | 43/500 [00:02<00:26, 17.01it/s]
eval model::   9%|▉         | 46/500 [00:02<00:25, 17.87it/s]
eval model::  10%|▉         | 49/500 [00:02<00:22, 19.94it/s]
eval model::  10%|█         | 52/500 [00:02<00:20, 21.77it/s]
eval model::  11%|█         | 55/500 [00:02<00:19, 23.31it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:20, 21.74it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.59it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.81it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 19.96it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.05it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 21.41it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 21.72it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:20, 20.50it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:18, 22.89it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:20, 20.52it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:21, 18.99it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.46it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 19.68it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:18, 21.58it/s]
eval model::  20%|██        | 100/500 [00:05<00:19, 20.36it/s]
eval model::  21%|██        | 103/500 [00:05<00:18, 21.86it/s]
eval model::  21%|██        | 106/500 [00:05<00:16, 23.28it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.53it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:17, 21.67it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:19, 20.03it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:17, 21.82it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.28it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.59it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.45it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.57it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.00it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:18, 20.17it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.75it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.03it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.57it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 17.88it/s]
eval model::  30%|███       | 151/500 [00:07<00:18, 18.56it/s]
eval model::  31%|███       | 154/500 [00:07<00:16, 20.67it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:15, 22.07it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:20, 16.91it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:18, 17.84it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 20.26it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 21.25it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:16, 19.86it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:21, 15.25it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.45it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 16.11it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:16, 18.59it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 19.40it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:16, 18.66it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:16, 18.98it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 20.09it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.22it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.53it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:21, 13.76it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:19, 14.63it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.74it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 14.15it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.17it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 16.40it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 15.22it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:14, 18.36it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:13, 20.77it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:11, 22.79it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:11, 22.10it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 22.24it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 22.17it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:13, 19.39it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:12, 20.67it/s]
eval model::  50%|█████     | 250/500 [00:13<00:13, 18.16it/s]
eval model::  51%|█████     | 253/500 [00:13<00:13, 18.55it/s]
eval model::  51%|█████     | 255/500 [00:13<00:13, 18.52it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:13, 17.93it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:12, 19.87it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:12, 19.17it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:14, 16.34it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:12, 18.29it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:11, 20.00it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:11, 20.54it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 18.49it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:11, 19.79it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:10, 20.61it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:18, 11.49it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:13, 15.11it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:12, 16.19it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:14, 13.98it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:12, 16.25it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 16.90it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.41it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:09, 19.43it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 21.00it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 20.36it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 19.51it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 21.72it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 20.58it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:07, 22.28it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:07, 21.91it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:07, 21.56it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 23.07it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 19.43it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.24it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.88it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 19.14it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 20.92it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 20.58it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 21.82it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 22.23it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:06, 19.99it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.73it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 18.12it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 19.40it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 19.26it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.40it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:04, 25.36it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 20.60it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:05, 21.62it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:09, 12.30it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:07, 14.08it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 16.20it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 18.48it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 18.90it/s]
eval model::  81%|████████  | 403/500 [00:21<00:04, 20.98it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 22.01it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:03, 23.83it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:03, 23.60it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 22.26it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 18.46it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:04, 15.84it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.51it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 14.96it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:04, 17.40it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:04, 17.20it/s]
eval model::  87%|████████▋ | 434/500 [00:22<00:03, 18.50it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:03, 20.56it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:03, 18.70it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 22.19it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 23.76it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 22.44it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 22.98it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:01, 22.21it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 21.87it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 17.87it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 17.39it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 17.80it/s]
eval model::  94%|█████████▍| 470/500 [00:24<00:01, 19.75it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 20.13it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 20.28it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:01, 20.71it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 20.36it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 22.16it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 22.07it/s]
eval model::  98%|█████████▊| 491/500 [00:25<00:00, 21.15it/s]
eval model::  99%|█████████▉| 494/500 [00:25<00:00, 20.98it/s]
eval model::  99%|█████████▉| 497/500 [00:25<00:00, 21.50it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 22.84it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.16it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:50,  9.84it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.08it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 18.14it/s]
eval model::   2%|▏         | 9/500 [00:00<00:25, 19.07it/s]
eval model::   2%|▏         | 12/500 [00:00<00:24, 19.86it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 19.03it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.10it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.62it/s]
eval model::   5%|▍         | 23/500 [00:01<00:21, 22.03it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 21.04it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.54it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 18.82it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.03it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 19.75it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 18.27it/s]
eval model::   8%|▊         | 42/500 [00:02<00:24, 18.56it/s]
eval model::   9%|▉         | 45/500 [00:02<00:22, 20.37it/s]
eval model::  10%|▉         | 48/500 [00:02<00:21, 20.67it/s]
eval model::  10%|█         | 51/500 [00:02<00:23, 18.91it/s]
eval model::  11%|█         | 54/500 [00:02<00:23, 18.66it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:22, 19.54it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:23, 18.68it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:29, 15.08it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:30, 14.53it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 19.43it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.07it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 21.04it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:20, 20.70it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:20, 20.57it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.21it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 20.68it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.32it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.12it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.09it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:20, 19.29it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 21.07it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.30it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 22.27it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:17, 22.49it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 20.82it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 22.06it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:17, 22.00it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 20.54it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:16, 22.19it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.65it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.60it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.24it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:17, 20.51it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.70it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.64it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:18, 19.16it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.04it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.07it/s]
eval model::  31%|███       | 153/500 [00:07<00:18, 18.98it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:15, 22.15it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:21, 15.83it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.25it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 18.91it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 20.33it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:17, 18.68it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:21, 15.28it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.00it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 16.62it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.47it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.35it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 20.56it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:16, 18.80it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 17.93it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.77it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.76it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 15.28it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:18, 15.59it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.57it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.94it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 13.05it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 15.82it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 15.16it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:14, 18.62it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 22.34it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 23.03it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 21.85it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.44it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:12, 20.93it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 22.34it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:10, 24.09it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 21.71it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 20.87it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:12, 20.22it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 20.19it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:12, 19.11it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:12, 18.42it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:11, 19.72it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 18.57it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.72it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 18.52it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 20.13it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 21.00it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 22.03it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:15, 13.35it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 17.17it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 17.06it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:12, 15.69it/s]
eval model::  60%|██████    | 300/500 [00:15<00:12, 16.48it/s]
eval model::  61%|██████    | 303/500 [00:15<00:10, 18.85it/s]
eval model::  61%|██████    | 306/500 [00:16<00:10, 19.39it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:09, 20.16it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:09, 20.26it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 20.02it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 20.98it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:08, 21.22it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:08, 20.61it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:08, 21.40it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 21.17it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 22.53it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 22.22it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 20.82it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:09, 16.29it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:08, 17.99it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:07, 19.95it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 20.67it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 21.54it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 20.55it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 19.87it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 19.17it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.68it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.53it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 18.78it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 20.66it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 24.00it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 23.24it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:04, 24.77it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:07, 14.05it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 16.07it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 17.90it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 20.25it/s]
eval model::  80%|████████  | 400/500 [00:20<00:04, 21.23it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 21.91it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 22.57it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:03, 24.05it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:03, 24.13it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 23.81it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:03, 20.88it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:04, 17.58it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 17.89it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 17.27it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 19.23it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 19.28it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:03, 21.45it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 23.73it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 22.91it/s]
eval model::  89%|████████▉ | 446/500 [00:22<00:02, 24.54it/s]
eval model::  90%|████████▉ | 449/500 [00:23<00:02, 21.38it/s]
eval model::  90%|█████████ | 452/500 [00:23<00:02, 22.96it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:01, 23.78it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:01, 22.02it/s]
eval model::  92%|█████████▏| 461/500 [00:23<00:01, 21.85it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:01, 19.23it/s]
eval model::  93%|█████████▎| 467/500 [00:23<00:01, 18.72it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 21.35it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 19.31it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 20.46it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 20.35it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 20.39it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 17.89it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 19.81it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 17.52it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 18.33it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 21.40it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.57it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:34, 14.26it/s]
eval model::   1%|          | 5/500 [00:00<00:26, 18.84it/s]
eval model::   2%|▏         | 8/500 [00:00<00:25, 19.40it/s]
eval model::   2%|▏         | 11/500 [00:00<00:22, 21.46it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 18.83it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.28it/s]
eval model::   4%|▍         | 20/500 [00:01<00:26, 18.29it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.26it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 19.30it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.49it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.35it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 18.89it/s]
eval model::   8%|▊         | 38/500 [00:01<00:25, 18.45it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 17.86it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.02it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.65it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 17.21it/s]
eval model::  10%|█         | 50/500 [00:02<00:23, 19.29it/s]
eval model::  11%|█         | 53/500 [00:02<00:20, 21.57it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 20.55it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:22, 20.04it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:26, 16.45it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:26, 16.56it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:21, 20.32it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:19, 21.67it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:21, 19.94it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:20, 20.37it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:19, 22.07it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:18, 22.83it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:19, 20.80it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 18.56it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:20, 19.92it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:19, 20.65it/s]
eval model::  20%|█▉        | 98/500 [00:04<00:18, 21.85it/s]
eval model::  20%|██        | 101/500 [00:05<00:19, 20.51it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 21.42it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 20.76it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:19, 19.77it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:19, 20.25it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:19, 19.41it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:19, 19.78it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:19, 19.60it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 18.83it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.12it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.46it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 18.43it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:17, 20.49it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.27it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.47it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:18, 19.57it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.55it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.04it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 20.28it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 21.34it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.84it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:18, 17.82it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:19, 16.82it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 17.80it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:18, 17.87it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.45it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 16.46it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:17, 18.93it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:17, 17.82it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:14, 21.61it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:14, 21.70it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:14, 21.34it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:13, 22.96it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:14, 20.62it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 21.00it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 20.76it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 15.03it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 16.02it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:19, 14.68it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.87it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.43it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.88it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.56it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:19, 14.49it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:15, 17.34it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 19.27it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.58it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 20.60it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 21.33it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 18.67it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:12, 19.82it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:11, 22.00it/s]
eval model::  51%|█████     | 253/500 [00:13<00:10, 23.60it/s]
eval model::  51%|█████     | 256/500 [00:13<00:10, 24.15it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:10, 23.40it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:11, 21.51it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:12, 19.27it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:12, 18.47it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:12, 18.67it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 20.04it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 18.60it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.68it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 21.17it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 21.06it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 12.95it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.61it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 17.02it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:12, 15.71it/s]
eval model::  60%|██████    | 300/500 [00:15<00:12, 16.06it/s]
eval model::  61%|██████    | 303/500 [00:15<00:11, 17.69it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 18.10it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 19.68it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.87it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 21.38it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 21.75it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:07, 23.09it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:07, 22.95it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:06, 25.51it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:07, 23.61it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:08, 20.08it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 20.82it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 20.86it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:09, 16.63it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:08, 18.56it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:07, 20.77it/s]
eval model::  70%|███████   | 351/500 [00:18<00:06, 22.85it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 24.04it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:05, 23.72it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:07, 19.68it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 18.23it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:08, 16.69it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 17.83it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:07, 18.12it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:06, 19.83it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:06, 19.86it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:06, 19.33it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:05, 21.01it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 14.06it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 16.45it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 16.77it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:05, 18.52it/s]
eval model::  80%|███████▉  | 398/500 [00:20<00:05, 20.27it/s]
eval model::  80%|████████  | 401/500 [00:20<00:05, 18.16it/s]
eval model::  81%|████████  | 404/500 [00:21<00:05, 18.57it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 19.53it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 20.50it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:04, 20.99it/s]
eval model::  83%|████████▎ | 416/500 [00:21<00:04, 20.54it/s]
eval model::  84%|████████▍ | 419/500 [00:21<00:04, 19.73it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 19.15it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 17.93it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 17.28it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 19.45it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 18.84it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:02, 22.87it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 24.68it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 23.87it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 24.39it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 22.73it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 22.36it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 22.91it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 21.60it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 20.77it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:02, 17.78it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 17.08it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 17.38it/s]
eval model::  94%|█████████▍| 470/500 [00:24<00:01, 19.81it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 20.81it/s]
eval model::  95%|█████████▌| 476/500 [00:24<00:01, 21.86it/s]
eval model::  96%|█████████▌| 479/500 [00:24<00:00, 22.40it/s]
eval model::  96%|█████████▋| 482/500 [00:24<00:00, 22.40it/s]
eval model::  97%|█████████▋| 485/500 [00:24<00:00, 23.24it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 22.14it/s]
eval model::  98%|█████████▊| 491/500 [00:25<00:00, 18.93it/s]
eval model::  99%|█████████▉| 494/500 [00:25<00:00, 19.10it/s]
eval model::  99%|█████████▉| 497/500 [00:25<00:00, 20.35it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 21.90it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.52it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:33, 14.81it/s]
eval model::   1%|          | 5/500 [00:00<00:24, 20.55it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.40it/s]
eval model::   2%|▏         | 11/500 [00:00<00:26, 18.12it/s]
eval model::   3%|▎         | 13/500 [00:00<00:26, 18.22it/s]
eval model::   3%|▎         | 15/500 [00:00<00:30, 15.77it/s]
eval model::   4%|▎         | 18/500 [00:00<00:25, 19.20it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 18.55it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 19.87it/s]
eval model::   5%|▌         | 27/500 [00:01<00:23, 20.35it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 22.19it/s]
eval model::   7%|▋         | 33/500 [00:01<00:21, 21.84it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 19.37it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 18.00it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.09it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.43it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 16.90it/s]
eval model::  10%|█         | 50/500 [00:02<00:26, 17.12it/s]
eval model::  11%|█         | 53/500 [00:02<00:24, 18.24it/s]
eval model::  11%|█         | 56/500 [00:03<00:23, 18.80it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.64it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:23, 18.38it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:29, 15.03it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:27, 15.80it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:20, 20.72it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:20, 21.24it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:21, 19.93it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:22, 18.88it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:20, 20.70it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 21.91it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:21, 18.89it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:24, 16.45it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:25, 16.32it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:24, 16.80it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 19.02it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.56it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.42it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 20.74it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.40it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:17, 21.71it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:16, 23.44it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:16, 23.37it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 20.56it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:19, 19.81it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.39it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 18.76it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 17.61it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:21, 17.40it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:18, 19.27it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:19, 18.99it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:19, 18.57it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:19, 18.52it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:18, 18.89it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 17.76it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 19.36it/s]
eval model::  30%|███       | 152/500 [00:08<00:19, 17.61it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 21.43it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 20.37it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:18, 18.01it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 18.17it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 18.62it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:17, 19.19it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:19, 16.59it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:22, 14.27it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:21, 15.34it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.75it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:21, 14.82it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:18, 17.31it/s]
eval model::  37%|███▋      | 187/500 [00:10<00:17, 17.69it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:17, 18.20it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:18, 17.05it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:16, 19.10it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:17, 17.16it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:15, 20.02it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 22.31it/s]
eval model::  41%|████      | 205/500 [00:11<00:21, 13.96it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:18, 15.47it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 15.06it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.08it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.78it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.68it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:18, 15.41it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.50it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:17, 16.09it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 16.68it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:12, 21.00it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:13, 20.36it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:12, 21.01it/s]
eval model::  48%|████▊     | 240/500 [00:13<00:11, 21.71it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:13, 18.48it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 18.49it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.41it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 19.97it/s]
eval model::  51%|█████     | 255/500 [00:13<00:10, 23.16it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 21.72it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:11, 21.48it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:12, 18.41it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 18.67it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 18.85it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 19.25it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 18.34it/s]
eval model::  55%|█████▌    | 277/500 [00:15<00:12, 17.72it/s]
eval model::  56%|█████▌    | 280/500 [00:15<00:11, 19.13it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:10, 20.85it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:16, 13.31it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:12, 17.10it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:11, 17.53it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:14, 13.97it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 16.46it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 15.76it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 16.21it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 17.70it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.19it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:09, 20.12it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 19.37it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.93it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 19.58it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.30it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:09, 19.11it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 19.05it/s]
eval model::  67%|██████▋   | 333/500 [00:18<00:08, 20.65it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:07, 21.63it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:08, 19.92it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:10, 15.49it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:08, 17.89it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:07, 19.21it/s]
eval model::  70%|███████   | 351/500 [00:19<00:07, 20.78it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.72it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 22.54it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:06, 20.53it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:06, 20.15it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:08, 16.58it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:07, 17.52it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 17.23it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 18.09it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:06, 20.18it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 21.56it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:04, 23.37it/s]
eval model::  78%|███████▊  | 388/500 [00:21<00:08, 13.96it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.97it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 17.63it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 18.39it/s]
eval model::  80%|████████  | 401/500 [00:21<00:06, 14.72it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 16.84it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:05, 18.23it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 20.27it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 21.30it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 20.24it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 20.06it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 17.63it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:04, 17.83it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 16.99it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:03, 19.59it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 20.20it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 21.52it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 21.54it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:03, 17.79it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 19.37it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 20.85it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 20.15it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.79it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 22.54it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 23.27it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:01, 19.51it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:01, 18.26it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 19.83it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 22.53it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 22.44it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:00, 23.23it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 21.70it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 20.84it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 21.07it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 22.91it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 19.09it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 19.52it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 21.65it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.77it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:55,  8.94it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.24it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 17.78it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.67it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 17.37it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.24it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.02it/s]
eval model::   4%|▍         | 20/500 [00:01<00:27, 17.44it/s]
eval model::   5%|▍         | 23/500 [00:01<00:25, 18.78it/s]
eval model::   5%|▌         | 25/500 [00:01<00:24, 19.03it/s]
eval model::   5%|▌         | 27/500 [00:01<00:24, 19.13it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 21.30it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 19.90it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 19.67it/s]
eval model::   8%|▊         | 39/500 [00:02<00:26, 17.10it/s]
eval model::   8%|▊         | 41/500 [00:02<00:26, 17.60it/s]
eval model::   9%|▊         | 43/500 [00:02<00:27, 16.35it/s]
eval model::   9%|▉         | 46/500 [00:02<00:27, 16.34it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 18.89it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 18.88it/s]
eval model::  11%|█         | 55/500 [00:02<00:22, 20.03it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:22, 19.89it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:25, 17.09it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:25, 17.10it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:20, 20.84it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.20it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 21.54it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:19, 21.36it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.71it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:20, 20.24it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 19.96it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.30it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.34it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:23, 17.58it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:23, 17.20it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:21, 18.72it/s]
eval model::  20%|██        | 101/500 [00:05<00:19, 19.98it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 21.47it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:17, 22.28it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:18, 21.40it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:17, 21.71it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:19, 19.84it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:19, 19.53it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.57it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:21, 17.57it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.04it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.73it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.34it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.38it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.26it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.15it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:18, 19.20it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:19, 18.23it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 17.94it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 19.37it/s]
eval model::  30%|███       | 152/500 [00:07<00:19, 17.79it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 20.28it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:15, 21.57it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:18, 18.54it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 18.49it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 18.93it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 20.40it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:16, 19.36it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:20, 15.91it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:17, 18.44it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:20, 15.53it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 17.86it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.45it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.82it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 21.61it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.74it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.43it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.73it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.52it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:21, 13.83it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 14.33it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:21, 13.69it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.39it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.84it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:22, 12.80it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:19, 14.22it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:19, 14.59it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:16, 17.02it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.35it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:15, 17.94it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:12, 20.92it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:12, 20.58it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:12, 21.26it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 22.44it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:13, 18.82it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 20.72it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:13, 18.59it/s]
eval model::  50%|█████     | 252/500 [00:13<00:13, 19.03it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 20.73it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 21.33it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 20.67it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:12, 19.14it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 19.15it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 19.06it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 19.79it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.93it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 17.94it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 18.38it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:10, 19.91it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:18, 11.55it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 12.77it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.91it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.90it/s]
eval model::  59%|█████▉    | 297/500 [00:16<00:13, 15.35it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 15.65it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 16.27it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.40it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.52it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:10, 18.97it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:10, 18.17it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:10, 18.29it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:10, 17.72it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:09, 20.09it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 19.95it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 21.18it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 20.77it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:07, 21.40it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:07, 21.84it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 19.48it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:11, 14.44it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.04it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.34it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.52it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 21.49it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.69it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.10it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:06, 20.70it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 19.06it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 18.42it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 20.56it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:06, 20.78it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:05, 22.57it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 23.03it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 21.66it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:04, 23.58it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:07, 14.86it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 17.52it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 17.52it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 18.01it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.24it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 18.12it/s]
eval model::  81%|████████  | 404/500 [00:21<00:05, 17.97it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 19.31it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 19.87it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 19.82it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 19.30it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 18.44it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 15.42it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 17.23it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:05, 14.62it/s]
eval model::  85%|████████▌ | 427/500 [00:23<00:04, 15.72it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 18.01it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 18.32it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 19.91it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 21.41it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 20.01it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 21.92it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 22.80it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 21.74it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:01, 23.66it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 24.93it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 23.70it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 19.50it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 19.57it/s]
eval model::  94%|█████████▍| 469/500 [00:25<00:01, 20.08it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 20.90it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 19.75it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 19.71it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 19.62it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 20.29it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 19.75it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 21.06it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 20.54it/s]
eval model::  99%|█████████▉| 497/500 [00:26<00:00, 20.79it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 22.57it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.87it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:37, 13.45it/s]
eval model::   1%|          | 5/500 [00:00<00:26, 18.35it/s]
eval model::   1%|▏         | 7/500 [00:00<00:27, 18.10it/s]
eval model::   2%|▏         | 10/500 [00:00<00:27, 17.73it/s]
eval model::   2%|▏         | 12/500 [00:00<00:28, 16.87it/s]
eval model::   3%|▎         | 14/500 [00:00<00:29, 16.48it/s]
eval model::   3%|▎         | 16/500 [00:00<00:29, 16.49it/s]
eval model::   4%|▍         | 19/500 [00:01<00:27, 17.29it/s]
eval model::   4%|▍         | 21/500 [00:01<00:30, 15.94it/s]
eval model::   5%|▍         | 23/500 [00:01<00:28, 16.90it/s]
eval model::   5%|▌         | 25/500 [00:01<00:28, 16.59it/s]
eval model::   5%|▌         | 27/500 [00:01<00:27, 17.23it/s]
eval model::   6%|▌         | 30/500 [00:01<00:24, 18.95it/s]
eval model::   6%|▋         | 32/500 [00:01<00:25, 18.27it/s]
eval model::   7%|▋         | 34/500 [00:01<00:27, 16.95it/s]
eval model::   7%|▋         | 37/500 [00:02<00:24, 19.12it/s]
eval model::   8%|▊         | 39/500 [00:02<00:27, 16.65it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.65it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.18it/s]
eval model::  10%|▉         | 48/500 [00:02<00:29, 15.29it/s]
eval model::  10%|█         | 50/500 [00:02<00:28, 15.99it/s]
eval model::  11%|█         | 53/500 [00:03<00:25, 17.47it/s]
eval model::  11%|█         | 55/500 [00:03<00:24, 17.96it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:24, 18.22it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:24, 18.08it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:29, 15.05it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:31, 13.97it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:26, 16.42it/s]
eval model::  14%|█▍        | 69/500 [00:04<00:22, 18.98it/s]
eval model::  14%|█▍        | 72/500 [00:04<00:22, 18.94it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 19.91it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.43it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:22, 18.41it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.52it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 20.90it/s]
eval model::  18%|█▊        | 90/500 [00:05<00:21, 19.15it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:20, 19.49it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 18.98it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.30it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.05it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.24it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:19, 19.94it/s]
eval model::  22%|██▏       | 111/500 [00:06<00:19, 20.24it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:18, 20.40it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:20, 19.10it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.55it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.67it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.19it/s]
eval model::  26%|██▌       | 129/500 [00:07<00:19, 19.32it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:21, 17.07it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 18.76it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:20, 18.15it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:20, 17.95it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:19, 18.65it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.58it/s]
eval model::  29%|██▉       | 147/500 [00:08<00:19, 18.21it/s]
eval model::  30%|███       | 150/500 [00:08<00:17, 19.46it/s]
eval model::  30%|███       | 152/500 [00:08<00:19, 17.63it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 21.01it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:18, 18.94it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:21, 16.09it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.62it/s]
eval model::  33%|███▎      | 165/500 [00:09<00:19, 16.82it/s]
eval model::  33%|███▎      | 167/500 [00:09<00:18, 17.55it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:16, 20.10it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:16, 19.34it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:21, 14.78it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:18, 17.68it/s]
eval model::  36%|███▌      | 181/500 [00:10<00:22, 14.49it/s]
eval model::  37%|███▋      | 183/500 [00:10<00:21, 14.95it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:19, 16.36it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:17, 17.61it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:17, 17.48it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:15, 20.25it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:17, 17.09it/s]
eval model::  40%|████      | 200/500 [00:11<00:15, 18.96it/s]
eval model::  41%|████      | 203/500 [00:11<00:14, 20.79it/s]
eval model::  41%|████      | 206/500 [00:11<00:20, 14.52it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:19, 14.70it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.54it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.84it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:23, 12.02it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:24, 11.62it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:22, 12.39it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:24, 11.50it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:19, 14.21it/s]
eval model::  45%|████▌     | 226/500 [00:13<00:18, 15.09it/s]
eval model::  46%|████▌     | 229/500 [00:13<00:15, 17.26it/s]
eval model::  46%|████▋     | 232/500 [00:13<00:14, 19.12it/s]
eval model::  47%|████▋     | 235/500 [00:13<00:13, 19.47it/s]
eval model::  48%|████▊     | 238/500 [00:13<00:13, 19.16it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:13, 19.70it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:14, 17.99it/s]
eval model::  49%|████▉     | 247/500 [00:14<00:13, 18.38it/s]
eval model::  50%|████▉     | 249/500 [00:14<00:14, 17.37it/s]
eval model::  50%|█████     | 252/500 [00:14<00:13, 18.78it/s]
eval model::  51%|█████     | 255/500 [00:14<00:12, 19.65it/s]
eval model::  52%|█████▏    | 258/500 [00:14<00:11, 20.87it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:11, 21.59it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:12, 19.64it/s]
eval model::  53%|█████▎    | 267/500 [00:15<00:11, 20.61it/s]
eval model::  54%|█████▍    | 270/500 [00:15<00:11, 19.64it/s]
eval model::  55%|█████▍    | 273/500 [00:15<00:10, 20.97it/s]
eval model::  55%|█████▌    | 276/500 [00:15<00:11, 19.41it/s]
eval model::  56%|█████▌    | 279/500 [00:15<00:10, 20.43it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:09, 22.01it/s]
eval model::  57%|█████▋    | 285/500 [00:16<00:15, 13.81it/s]
eval model::  58%|█████▊    | 288/500 [00:16<00:13, 15.79it/s]
eval model::  58%|█████▊    | 292/500 [00:16<00:11, 18.37it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:13, 14.95it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:11, 17.29it/s]
eval model::  60%|██████    | 301/500 [00:17<00:12, 16.39it/s]
eval model::  61%|██████    | 304/500 [00:17<00:11, 17.77it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:10, 18.92it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:09, 20.26it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:09, 19.30it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:10, 18.29it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 21.09it/s]
eval model::  65%|██████▍   | 323/500 [00:18<00:08, 20.06it/s]
eval model::  65%|██████▌   | 326/500 [00:18<00:08, 20.46it/s]
eval model::  66%|██████▌   | 329/500 [00:18<00:08, 20.58it/s]
eval model::  66%|██████▋   | 332/500 [00:18<00:08, 20.15it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:07, 21.55it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 19.70it/s]
eval model::  68%|██████▊   | 341/500 [00:19<00:11, 14.25it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:10, 15.03it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:08, 17.66it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 19.32it/s]
eval model::  70%|███████   | 352/500 [00:19<00:08, 18.22it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 19.04it/s]
eval model::  72%|███████▏  | 358/500 [00:20<00:07, 19.00it/s]
eval model::  72%|███████▏  | 360/500 [00:20<00:07, 19.11it/s]
eval model::  72%|███████▏  | 362/500 [00:20<00:07, 18.37it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:07, 17.57it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:07, 17.02it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:06, 19.47it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:06, 20.07it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 20.31it/s]
eval model::  76%|███████▌  | 378/500 [00:21<00:05, 21.18it/s]
eval model::  76%|███████▌  | 381/500 [00:21<00:05, 20.85it/s]
eval model::  77%|███████▋  | 384/500 [00:21<00:05, 22.83it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:08, 13.43it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:07, 15.50it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 16.41it/s]
eval model::  79%|███████▉  | 395/500 [00:22<00:06, 17.06it/s]
eval model::  80%|███████▉  | 398/500 [00:22<00:05, 18.88it/s]
eval model::  80%|████████  | 401/500 [00:22<00:05, 17.64it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 18.55it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 20.43it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 21.06it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 21.29it/s]
eval model::  83%|████████▎ | 416/500 [00:23<00:03, 21.80it/s]
eval model::  84%|████████▍ | 419/500 [00:23<00:03, 20.81it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:04, 15.67it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:04, 15.69it/s]
eval model::  85%|████████▌ | 427/500 [00:23<00:04, 17.62it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 19.46it/s]
eval model::  87%|████████▋ | 433/500 [00:24<00:03, 20.34it/s]
eval model::  87%|████████▋ | 436/500 [00:24<00:03, 21.14it/s]
eval model::  88%|████████▊ | 439/500 [00:24<00:02, 21.75it/s]
eval model::  88%|████████▊ | 442/500 [00:24<00:02, 20.77it/s]
eval model::  89%|████████▉ | 445/500 [00:24<00:02, 21.27it/s]
eval model::  90%|████████▉ | 448/500 [00:24<00:02, 20.02it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 21.06it/s]
eval model::  91%|█████████ | 454/500 [00:25<00:02, 20.87it/s]
eval model::  91%|█████████▏| 457/500 [00:25<00:02, 21.19it/s]
eval model::  92%|█████████▏| 460/500 [00:25<00:02, 19.66it/s]
eval model::  93%|█████████▎| 463/500 [00:25<00:02, 15.87it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:02, 15.72it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 17.56it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 19.65it/s]
eval model::  95%|█████████▍| 474/500 [00:26<00:01, 20.63it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:00, 24.06it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 25.21it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 25.33it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 25.57it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 26.13it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 21.50it/s]
eval model::  99%|█████████▉| 496/500 [00:27<00:00, 20.48it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 23.91it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.40it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:50,  9.94it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 18.89it/s]
eval model::   1%|          | 6/500 [00:00<00:25, 19.34it/s]
eval model::   2%|▏         | 9/500 [00:00<00:23, 21.15it/s]
eval model::   2%|▏         | 12/500 [00:00<00:24, 19.58it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 19.37it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.96it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.65it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.39it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 20.78it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.47it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 19.68it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 19.04it/s]
eval model::   8%|▊         | 38/500 [00:01<00:25, 18.45it/s]
eval model::   8%|▊         | 40/500 [00:02<00:27, 16.52it/s]
eval model::   8%|▊         | 42/500 [00:02<00:29, 15.68it/s]
eval model::   9%|▉         | 45/500 [00:02<00:26, 17.31it/s]
eval model::   9%|▉         | 47/500 [00:02<00:27, 16.76it/s]
eval model::  10%|▉         | 49/500 [00:02<00:26, 17.01it/s]
eval model::  10%|█         | 51/500 [00:02<00:26, 16.84it/s]
eval model::  11%|█         | 54/500 [00:02<00:24, 18.29it/s]
eval model::  11%|█         | 56/500 [00:03<00:25, 17.56it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:24, 17.98it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:30, 14.31it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:31, 13.81it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:27, 15.78it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:24, 17.84it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:22, 19.12it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 20.15it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.51it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.94it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.39it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 19.79it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.04it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:22, 18.29it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:22, 18.19it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:20, 20.05it/s]
eval model::  20%|██        | 101/500 [00:05<00:20, 19.55it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 20.63it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:19, 20.20it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:20, 19.41it/s]
eval model::  23%|██▎       | 113/500 [00:06<00:18, 20.58it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:21, 18.24it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:19, 19.05it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:19, 19.61it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:23, 16.20it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:21, 17.47it/s]
eval model::  26%|██▌       | 130/500 [00:07<00:23, 15.97it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:23, 15.72it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 18.36it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 18.68it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.42it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.56it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.09it/s]
eval model::  30%|██▉       | 148/500 [00:08<00:18, 18.57it/s]
eval model::  30%|███       | 151/500 [00:08<00:20, 17.31it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 19.87it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 21.49it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.69it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.57it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:18, 18.18it/s]
eval model::  34%|███▎      | 168/500 [00:09<00:18, 18.21it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:17, 18.96it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 16.77it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:17, 18.39it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:19, 16.75it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:18, 17.28it/s]
eval model::  37%|███▋      | 185/500 [00:10<00:16, 18.71it/s]
eval model::  37%|███▋      | 187/500 [00:10<00:16, 18.81it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:15, 20.58it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:13, 22.17it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:14, 20.77it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 21.47it/s]
eval model::  40%|████      | 202/500 [00:10<00:12, 23.08it/s]
eval model::  41%|████      | 205/500 [00:11<00:23, 12.75it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:22, 13.27it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 14.00it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 14.44it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.37it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 14.17it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:21, 12.92it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:20, 13.80it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:23, 11.97it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:18, 15.29it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:18, 14.45it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:16, 16.73it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:14, 18.65it/s]
eval model::  47%|████▋     | 234/500 [00:13<00:15, 17.00it/s]
eval model::  47%|████▋     | 237/500 [00:13<00:14, 18.17it/s]
eval model::  48%|████▊     | 240/500 [00:13<00:13, 18.69it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:15, 17.09it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 18.84it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 19.69it/s]
eval model::  50%|█████     | 250/500 [00:13<00:12, 19.64it/s]
eval model::  51%|█████     | 253/500 [00:14<00:11, 21.37it/s]
eval model::  51%|█████     | 256/500 [00:14<00:10, 23.10it/s]
eval model::  52%|█████▏    | 259/500 [00:14<00:09, 24.39it/s]
eval model::  52%|█████▏    | 262/500 [00:14<00:11, 21.33it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:12, 19.50it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:11, 20.15it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:12, 18.96it/s]
eval model::  55%|█████▍    | 273/500 [00:15<00:11, 19.01it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:12, 18.08it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:11, 19.36it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 21.12it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 22.39it/s]
eval model::  57%|█████▋    | 287/500 [00:16<00:18, 11.53it/s]
eval model::  58%|█████▊    | 290/500 [00:16<00:15, 13.81it/s]
eval model::  58%|█████▊    | 292/500 [00:16<00:14, 13.88it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:14, 14.23it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:16, 12.56it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 15.69it/s]
eval model::  60%|██████    | 301/500 [00:16<00:13, 14.45it/s]
eval model::  61%|██████    | 304/500 [00:17<00:11, 16.57it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:10, 18.17it/s]
eval model::  62%|██████▏   | 309/500 [00:17<00:10, 17.78it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:10, 17.80it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:10, 18.18it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:09, 19.37it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:09, 19.50it/s]
eval model::  64%|██████▍   | 322/500 [00:18<00:09, 19.32it/s]
eval model::  65%|██████▌   | 325/500 [00:18<00:08, 21.51it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:07, 21.93it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 18.85it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:08, 20.32it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 19.10it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:08, 18.39it/s]
eval model::  68%|██████▊   | 341/500 [00:19<00:12, 13.09it/s]
eval model::  69%|██████▉   | 344/500 [00:19<00:10, 15.35it/s]
eval model::  69%|██████▉   | 347/500 [00:19<00:08, 17.13it/s]
eval model::  70%|███████   | 350/500 [00:19<00:07, 19.12it/s]
eval model::  71%|███████   | 353/500 [00:19<00:07, 20.22it/s]
eval model::  71%|███████   | 356/500 [00:19<00:07, 19.30it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:07, 19.81it/s]
eval model::  72%|███████▏  | 362/500 [00:20<00:08, 16.46it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:08, 15.77it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:08, 15.88it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:07, 17.82it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 17.74it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 20.30it/s]
eval model::  76%|███████▌  | 378/500 [00:21<00:05, 22.58it/s]
eval model::  76%|███████▌  | 381/500 [00:21<00:05, 21.42it/s]
eval model::  77%|███████▋  | 385/500 [00:21<00:04, 24.47it/s]
eval model::  78%|███████▊  | 388/500 [00:21<00:08, 13.10it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:07, 14.50it/s]
eval model::  79%|███████▉  | 394/500 [00:22<00:06, 15.75it/s]
eval model::  79%|███████▉  | 397/500 [00:22<00:05, 18.04it/s]
eval model::  80%|████████  | 400/500 [00:22<00:05, 17.41it/s]
eval model::  81%|████████  | 403/500 [00:22<00:05, 19.01it/s]
eval model::  81%|████████  | 406/500 [00:22<00:04, 19.08it/s]
eval model::  82%|████████▏ | 409/500 [00:22<00:04, 20.14it/s]
eval model::  82%|████████▏ | 412/500 [00:22<00:04, 21.12it/s]
eval model::  83%|████████▎ | 415/500 [00:23<00:04, 19.58it/s]
eval model::  84%|████████▎ | 418/500 [00:23<00:04, 17.98it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:05, 15.13it/s]
eval model::  85%|████████▍ | 423/500 [00:23<00:04, 17.29it/s]
eval model::  85%|████████▌ | 425/500 [00:23<00:05, 14.52it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:04, 16.62it/s]
eval model::  86%|████████▌ | 431/500 [00:24<00:03, 17.74it/s]
eval model::  87%|████████▋ | 434/500 [00:24<00:03, 20.32it/s]
eval model::  87%|████████▋ | 437/500 [00:24<00:02, 22.44it/s]
eval model::  88%|████████▊ | 440/500 [00:24<00:03, 19.25it/s]
eval model::  89%|████████▊ | 443/500 [00:24<00:02, 21.57it/s]
eval model::  89%|████████▉ | 446/500 [00:24<00:02, 21.20it/s]
eval model::  90%|████████▉ | 449/500 [00:24<00:02, 20.30it/s]
eval model::  90%|█████████ | 452/500 [00:25<00:02, 20.04it/s]
eval model::  91%|█████████ | 455/500 [00:25<00:02, 21.19it/s]
eval model::  92%|█████████▏| 458/500 [00:25<00:01, 21.68it/s]
eval model::  92%|█████████▏| 461/500 [00:25<00:01, 22.07it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 16.10it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 15.54it/s]
eval model::  94%|█████████▎| 468/500 [00:26<00:02, 15.85it/s]
eval model::  94%|█████████▍| 471/500 [00:26<00:01, 18.15it/s]
eval model::  95%|█████████▍| 474/500 [00:26<00:01, 18.45it/s]
eval model::  95%|█████████▌| 477/500 [00:26<00:01, 20.00it/s]
eval model::  96%|█████████▌| 480/500 [00:26<00:00, 21.46it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 22.70it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 21.57it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 21.78it/s]
eval model::  98%|█████████▊| 492/500 [00:27<00:00, 19.95it/s]
eval model::  99%|█████████▉| 495/500 [00:27<00:00, 20.24it/s]
eval model:: 100%|█████████▉| 499/500 [00:27<00:00, 23.61it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.22it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:55,  9.01it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.00it/s]
eval model::   1%|          | 6/500 [00:00<00:30, 16.17it/s]
eval model::   2%|▏         | 8/500 [00:00<00:30, 16.27it/s]
eval model::   2%|▏         | 10/500 [00:00<00:28, 17.27it/s]
eval model::   3%|▎         | 13/500 [00:00<00:26, 18.68it/s]
eval model::   3%|▎         | 15/500 [00:00<00:27, 17.84it/s]
eval model::   4%|▎         | 18/500 [00:01<00:24, 19.55it/s]
eval model::   4%|▍         | 20/500 [00:01<00:26, 18.18it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.72it/s]
eval model::   5%|▌         | 25/500 [00:01<00:25, 18.41it/s]
eval model::   6%|▌         | 28/500 [00:01<00:23, 20.23it/s]
eval model::   6%|▌         | 31/500 [00:01<00:23, 19.73it/s]
eval model::   7%|▋         | 34/500 [00:01<00:23, 19.90it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.84it/s]
eval model::   8%|▊         | 40/500 [00:02<00:27, 16.45it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.61it/s]
eval model::   9%|▉         | 44/500 [00:02<00:26, 17.22it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 17.26it/s]
eval model::  10%|▉         | 49/500 [00:02<00:22, 19.97it/s]
eval model::  10%|█         | 52/500 [00:02<00:22, 19.99it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.89it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:22, 19.99it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.30it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.55it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 20.54it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 20.70it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 20.79it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:19, 21.50it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.09it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.98it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 22.45it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 18.84it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 17.88it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 17.89it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:22, 17.72it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:21, 18.65it/s]
eval model::  20%|██        | 100/500 [00:05<00:22, 17.65it/s]
eval model::  21%|██        | 103/500 [00:05<00:21, 18.77it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.71it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:19, 20.36it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 19.84it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:20, 19.19it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 21.14it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.18it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:21, 17.42it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 17.88it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.80it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.25it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.67it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.22it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.29it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:19, 18.10it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:20, 17.22it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 19.33it/s]
eval model::  31%|███       | 153/500 [00:08<00:18, 19.12it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 20.72it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.51it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:22, 14.73it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:22, 15.14it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:20, 16.60it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:17, 18.64it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:17, 18.61it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:21, 15.34it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:18, 17.77it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:21, 15.21it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 17.76it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 18.93it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:15, 19.58it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:16, 19.11it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.58it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 19.45it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 19.95it/s]
eval model::  41%|████      | 205/500 [00:11<00:20, 14.35it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:19, 15.32it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 15.03it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.60it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.27it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.84it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:18, 14.96it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:19, 14.14it/s]
eval model::  45%|████▍     | 223/500 [00:12<00:18, 15.39it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 17.09it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 19.15it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 20.86it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:13, 19.00it/s]
eval model::  47%|████▋     | 237/500 [00:13<00:13, 19.19it/s]
eval model::  48%|████▊     | 240/500 [00:13<00:12, 20.02it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:14, 17.73it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:13, 19.49it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 19.54it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 20.63it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 20.64it/s]
eval model::  52%|█████▏    | 258/500 [00:14<00:11, 21.05it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:10, 22.22it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:11, 21.28it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:10, 21.51it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 20.88it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:10, 21.28it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 19.72it/s]
eval model::  56%|█████▌    | 279/500 [00:15<00:10, 20.12it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:09, 21.90it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:15, 14.17it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:13, 16.22it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 18.64it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:12, 16.34it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:14, 13.97it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:11, 16.87it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 17.39it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.55it/s]
eval model::  61%|██████    | 306/500 [00:16<00:10, 18.00it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:10, 18.96it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:09, 19.31it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:09, 19.50it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:09, 19.70it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:09, 19.63it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:09, 18.79it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 19.74it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 20.22it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 22.19it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:06, 24.38it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:07, 22.69it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:09, 16.35it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:08, 17.89it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:08, 18.65it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 20.66it/s]
eval model::  71%|███████   | 354/500 [00:19<00:06, 22.14it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:06, 21.73it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:06, 23.31it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:06, 21.21it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 15.74it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 17.29it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:07, 17.73it/s]
eval model::  75%|███████▍  | 374/500 [00:20<00:06, 20.02it/s]
eval model::  75%|███████▌  | 377/500 [00:20<00:05, 21.64it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.25it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 22.35it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 13.61it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:07, 15.78it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 17.34it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 19.39it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 21.35it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 20.49it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 21.97it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 22.99it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 22.88it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:04, 21.27it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 18.60it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 17.31it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:06, 12.82it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 14.40it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.69it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 17.36it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 17.13it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 21.08it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 24.24it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 23.07it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 23.87it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 22.99it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 22.30it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 21.80it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 21.98it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 20.85it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 17.10it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 15.89it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:02, 16.27it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 18.94it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 20.56it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 22.05it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:00, 23.10it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 21.92it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 22.79it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 18.98it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 19.00it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 17.52it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 17.33it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 21.20it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.80it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:32, 15.23it/s]
eval model::   1%|          | 5/500 [00:00<00:23, 21.09it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 18.09it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.90it/s]
eval model::   3%|▎         | 13/500 [00:00<00:26, 18.18it/s]
eval model::   3%|▎         | 15/500 [00:00<00:27, 17.69it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.44it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.22it/s]
eval model::   5%|▍         | 24/500 [00:01<00:22, 20.93it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 20.94it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 21.28it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 19.64it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 18.88it/s]
eval model::   8%|▊         | 38/500 [00:01<00:24, 18.94it/s]
eval model::   8%|▊         | 40/500 [00:02<00:27, 16.91it/s]
eval model::   8%|▊         | 42/500 [00:02<00:28, 16.34it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.18it/s]
eval model::   9%|▉         | 47/500 [00:02<00:24, 18.72it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 21.35it/s]
eval model::  11%|█         | 53/500 [00:02<00:23, 18.67it/s]
eval model::  11%|█         | 55/500 [00:02<00:23, 18.86it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:24, 18.05it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:24, 17.84it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:29, 14.67it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:28, 15.31it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:21, 20.12it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:20, 20.49it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:21, 20.16it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:21, 19.73it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:19, 21.38it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:17, 24.01it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 21.62it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.56it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:20, 19.44it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:18, 21.96it/s]
eval model::  20%|██        | 100/500 [00:05<00:20, 19.19it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.02it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.21it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:20, 19.16it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:21, 18.05it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:19, 19.79it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:20, 18.63it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:20, 18.68it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.44it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.76it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.57it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.38it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:17, 20.72it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:17, 20.45it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:16, 21.62it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 21.28it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:18, 19.22it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 17.97it/s]
eval model::  31%|███       | 155/500 [00:07<00:16, 21.33it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 22.16it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.55it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 18.22it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 20.18it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:16, 19.62it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:22, 14.72it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:21, 15.39it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.74it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 16.01it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:17, 18.42it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 19.39it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:15, 19.86it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 21.76it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:17, 17.53it/s]
eval model::  40%|████      | 200/500 [00:10<00:15, 19.57it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 21.39it/s]
eval model::  41%|████      | 206/500 [00:10<00:20, 14.59it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:19, 15.20it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 15.38it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:16, 17.22it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.48it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 14.08it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.47it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 15.17it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:15, 18.33it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:13, 19.80it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:12, 22.12it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:12, 20.51it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:12, 20.71it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:12, 20.17it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:15, 16.64it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:12, 20.06it/s]
eval model::  50%|█████     | 250/500 [00:13<00:12, 19.61it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 21.49it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 21.48it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 23.21it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:10, 22.64it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:11, 20.15it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:11, 19.89it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 20.49it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 18.28it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 18.24it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:11, 19.44it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:11, 19.18it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:19, 11.27it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:18, 11.29it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:14, 14.13it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:14, 14.68it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:13, 15.13it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 13.54it/s]
eval model::  60%|██████    | 300/500 [00:16<00:11, 16.91it/s]
eval model::  61%|██████    | 303/500 [00:16<00:10, 18.23it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 18.01it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 20.34it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:08, 22.26it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 20.99it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:09, 20.28it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 20.47it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:09, 18.49it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 19.63it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:09, 18.90it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 19.70it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 20.85it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:09, 17.65it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:11, 13.57it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:10, 15.37it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 18.15it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 21.08it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 22.75it/s]
eval model::  71%|███████   | 356/500 [00:19<00:07, 19.67it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:06, 20.20it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 17.74it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.04it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 16.21it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:07, 16.88it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:06, 18.84it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:06, 18.76it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 18.98it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 20.63it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:06, 19.50it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 20.96it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:08, 12.66it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:07, 14.81it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:07, 15.38it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 18.50it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.14it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 18.52it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 19.63it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 20.84it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 21.79it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:04, 21.23it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 19.86it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:04, 16.67it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 16.88it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 17.07it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 15.79it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:03, 17.79it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 17.40it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 21.04it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 23.83it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 23.15it/s]
eval model::  89%|████████▉ | 446/500 [00:23<00:02, 25.41it/s]
eval model::  90%|████████▉ | 449/500 [00:24<00:02, 24.40it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:01, 25.75it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 24.82it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 23.19it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 17.94it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:01, 18.23it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 17.04it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 17.30it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 18.83it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 18.44it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 20.78it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 21.66it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 22.41it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 20.11it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 21.73it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 20.65it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 22.08it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 23.10it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.90it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:01,  8.11it/s]
eval model::   1%|          | 3/500 [00:00<00:35, 13.83it/s]
eval model::   1%|          | 6/500 [00:00<00:31, 15.88it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.06it/s]
eval model::   2%|▏         | 10/500 [00:00<00:28, 17.14it/s]
eval model::   3%|▎         | 13/500 [00:00<00:27, 17.72it/s]
eval model::   3%|▎         | 15/500 [00:00<00:28, 17.12it/s]
eval model::   3%|▎         | 17/500 [00:01<00:27, 17.67it/s]
eval model::   4%|▍         | 19/500 [00:01<00:30, 15.79it/s]
eval model::   4%|▍         | 21/500 [00:01<00:29, 16.45it/s]
eval model::   5%|▍         | 24/500 [00:01<00:24, 19.80it/s]
eval model::   5%|▌         | 27/500 [00:01<00:23, 20.02it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 21.42it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.32it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 19.06it/s]
eval model::   8%|▊         | 39/500 [00:02<00:24, 18.45it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.73it/s]
eval model::   9%|▉         | 44/500 [00:02<00:25, 18.04it/s]
eval model::   9%|▉         | 46/500 [00:02<00:25, 17.78it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 21.21it/s]
eval model::  11%|█         | 53/500 [00:02<00:19, 22.65it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 21.10it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:22, 19.55it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:26, 16.39it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:26, 16.66it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 18.89it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:21, 19.56it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:21, 20.18it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:19, 21.21it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 22.03it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.13it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 21.70it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 20.21it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.32it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 19.56it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:19, 20.34it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.41it/s]
eval model::  21%|██        | 103/500 [00:05<00:20, 19.62it/s]
eval model::  21%|██        | 106/500 [00:05<00:22, 17.84it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:20, 19.16it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 19.91it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:19, 19.57it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:19, 19.92it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.11it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:21, 17.14it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.20it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 18.68it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 17.86it/s]
eval model::  27%|██▋       | 134/500 [00:07<00:19, 19.02it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:18, 20.17it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:17, 20.34it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:16, 22.27it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 20.58it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:18, 19.47it/s]
eval model::  30%|███       | 152/500 [00:07<00:18, 19.01it/s]
eval model::  31%|███       | 155/500 [00:08<00:16, 20.47it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:17, 19.66it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:21, 16.06it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:21, 16.05it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 18.71it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 19.32it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:17, 19.00it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.35it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.60it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.52it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:21, 14.97it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:18, 17.27it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:17, 18.41it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:15, 19.82it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:14, 21.81it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:13, 21.88it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:13, 21.73it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 21.85it/s]
eval model::  41%|████      | 205/500 [00:11<00:24, 12.02it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:21, 13.48it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:21, 13.55it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.89it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.26it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 14.12it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:16, 16.58it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:19, 14.30it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.75it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:13, 20.27it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:11, 22.38it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 21.14it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 21.73it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:12, 20.73it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:12, 19.94it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:11, 21.64it/s]
eval model::  50%|█████     | 250/500 [00:13<00:12, 19.81it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 21.28it/s]
eval model::  51%|█████     | 256/500 [00:13<00:12, 20.10it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:11, 20.49it/s]
eval model::  52%|█████▏    | 262/500 [00:14<00:12, 19.71it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:12, 18.14it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:11, 19.48it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:11, 20.18it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:10, 21.45it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:11, 19.47it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:10, 20.57it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:10, 21.40it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:20, 10.30it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:16, 12.60it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:13, 14.98it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:15, 13.05it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:12, 15.55it/s]
eval model::  60%|██████    | 301/500 [00:16<00:13, 14.85it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.65it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.61it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 20.55it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:08, 21.84it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:08, 21.89it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:07, 22.74it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 21.14it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:07, 22.89it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:07, 21.79it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 19.92it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:08, 19.95it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 18.95it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:08, 18.89it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:10, 14.82it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:09, 16.78it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 18.47it/s]
eval model::  70%|███████   | 351/500 [00:18<00:06, 21.58it/s]
eval model::  71%|███████   | 354/500 [00:19<00:06, 21.07it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:07, 19.59it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:06, 20.30it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 18.17it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:07, 17.18it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:07, 18.85it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:06, 20.18it/s]
eval model::  75%|███████▍  | 374/500 [00:20<00:05, 21.24it/s]
eval model::  75%|███████▌  | 377/500 [00:20<00:05, 22.34it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:06, 18.79it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 20.90it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:09, 12.15it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:07, 14.28it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.02it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 17.82it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 20.50it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 19.82it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 21.11it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 21.65it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 21.95it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 22.76it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:03, 22.62it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 15.86it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 17.14it/s]
eval model::  85%|████████▌ | 425/500 [00:23<00:04, 15.66it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:03, 18.21it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 18.91it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 20.60it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:02, 21.59it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:03, 19.68it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 22.23it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 22.86it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 21.88it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 23.26it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 23.19it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 22.60it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 18.25it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:02, 17.36it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 15.51it/s]
eval model::  94%|█████████▍| 469/500 [00:25<00:01, 17.58it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 18.50it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 18.77it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 21.09it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 21.14it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 21.90it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 19.79it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 20.91it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 19.07it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 20.23it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 21.81it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.79it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:49,  9.98it/s]
eval model::   1%|          | 4/500 [00:00<00:25, 19.40it/s]
eval model::   1%|          | 6/500 [00:00<00:29, 17.03it/s]
eval model::   2%|▏         | 9/500 [00:00<00:24, 20.04it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 19.04it/s]
eval model::   3%|▎         | 13/500 [00:00<00:25, 19.29it/s]
eval model::   3%|▎         | 15/500 [00:00<00:25, 19.07it/s]
eval model::   4%|▍         | 19/500 [00:00<00:21, 22.28it/s]
eval model::   4%|▍         | 22/500 [00:01<00:21, 21.80it/s]
eval model::   5%|▌         | 25/500 [00:01<00:22, 20.85it/s]
eval model::   6%|▌         | 28/500 [00:01<00:22, 21.06it/s]
eval model::   6%|▌         | 31/500 [00:01<00:23, 20.17it/s]
eval model::   7%|▋         | 34/500 [00:01<00:23, 19.99it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.83it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 17.78it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 16.97it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.33it/s]
eval model::   9%|▉         | 47/500 [00:02<00:30, 15.08it/s]
eval model::  10%|█         | 50/500 [00:02<00:25, 17.38it/s]
eval model::  11%|█         | 53/500 [00:02<00:24, 18.14it/s]
eval model::  11%|█         | 56/500 [00:02<00:22, 19.49it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:22, 19.24it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 16.08it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 16.00it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 20.40it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 22.42it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 21.61it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 22.01it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 22.06it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:17, 24.51it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:17, 23.74it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 18.34it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:22, 18.41it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:21, 19.26it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:19, 20.59it/s]
eval model::  20%|██        | 101/500 [00:05<00:20, 19.32it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 20.83it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 21.71it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:18, 21.17it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:17, 22.19it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:18, 20.39it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:18, 20.67it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:17, 21.03it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:21, 17.14it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:21, 17.55it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:21, 17.24it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.26it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.95it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:16, 21.36it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:16, 21.32it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.05it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.39it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.44it/s]
eval model::  31%|███       | 153/500 [00:07<00:18, 19.16it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 21.46it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:15, 21.88it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:19, 17.36it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:19, 17.43it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:18, 18.35it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 18.37it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:20, 16.05it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.59it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:19, 16.71it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.12it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.64it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 22.12it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 20.99it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 20.30it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.17it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.16it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.01it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:21, 13.54it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:20, 14.38it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 14.27it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:21, 13.38it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:25, 11.40it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:25, 11.06it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:20, 13.52it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:21, 12.83it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 17.04it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 20.69it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 22.17it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 21.47it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.25it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 19.59it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:12, 20.51it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 22.10it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 19.27it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 20.72it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.07it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 22.68it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:10, 21.66it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:11, 20.20it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 17.96it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 19.15it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 18.09it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 18.06it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:11, 19.73it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:10, 20.02it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:18, 11.68it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:14, 14.30it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.14it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:15, 13.36it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:12, 15.85it/s]
eval model::  60%|██████    | 301/500 [00:16<00:12, 16.48it/s]
eval model::  61%|██████    | 304/500 [00:16<00:10, 18.98it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:09, 21.09it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:08, 21.45it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:08, 20.90it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 19.72it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.85it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 19.04it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.83it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 20.55it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.48it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 21.84it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 19.72it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 14.98it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.43it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.80it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.27it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 20.55it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 21.42it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.21it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.82it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.91it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.51it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 18.90it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:06, 19.11it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 18.51it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:06, 19.89it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 20.41it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 20.30it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 12.93it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:07, 15.52it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.85it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 17.83it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.67it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 18.48it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 19.25it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 20.33it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 21.99it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 21.96it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 18.75it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 15.02it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 15.69it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.80it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.35it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 19.80it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 20.04it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:03, 20.72it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 21.25it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 20.32it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 21.11it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 20.84it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 20.61it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 21.69it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 22.76it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 23.18it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 18.90it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 18.71it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 18.95it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 20.87it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 19.63it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 21.44it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 21.50it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 21.29it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 19.90it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 21.36it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 18.39it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 19.33it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 20.41it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.94it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:42, 11.84it/s]
eval model::   1%|          | 6/500 [00:00<00:25, 19.63it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.85it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 19.15it/s]
eval model::   3%|▎         | 13/500 [00:00<00:25, 19.30it/s]
eval model::   3%|▎         | 15/500 [00:00<00:26, 18.23it/s]
eval model::   4%|▍         | 19/500 [00:01<00:25, 18.77it/s]
eval model::   4%|▍         | 21/500 [00:01<00:26, 17.80it/s]
eval model::   5%|▍         | 24/500 [00:01<00:24, 19.54it/s]
eval model::   5%|▌         | 26/500 [00:01<00:26, 17.95it/s]
eval model::   6%|▌         | 29/500 [00:01<00:26, 17.86it/s]
eval model::   6%|▌         | 31/500 [00:01<00:29, 15.92it/s]
eval model::   7%|▋         | 33/500 [00:01<00:28, 16.50it/s]
eval model::   7%|▋         | 35/500 [00:02<00:30, 15.46it/s]
eval model::   8%|▊         | 38/500 [00:02<00:27, 16.94it/s]
eval model::   8%|▊         | 40/500 [00:02<00:28, 16.41it/s]
eval model::   8%|▊         | 42/500 [00:02<00:29, 15.76it/s]
eval model::   9%|▉         | 45/500 [00:02<00:25, 18.11it/s]
eval model::   9%|▉         | 47/500 [00:02<00:28, 16.15it/s]
eval model::  10%|█         | 50/500 [00:02<00:24, 18.33it/s]
eval model::  11%|█         | 53/500 [00:02<00:21, 20.33it/s]
eval model::  11%|█         | 56/500 [00:03<00:21, 20.61it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:23, 18.91it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 16.02it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.89it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:22, 18.90it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 21.25it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.65it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:20, 20.48it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.17it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.22it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.04it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 21.03it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:20, 20.04it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:20, 19.78it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.83it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.43it/s]
eval model::  20%|██        | 101/500 [00:05<00:22, 17.63it/s]
eval model::  21%|██        | 104/500 [00:05<00:21, 18.79it/s]
eval model::  21%|██        | 106/500 [00:05<00:20, 18.85it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:21, 18.63it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 19.58it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:19, 19.75it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:21, 18.15it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:19, 19.07it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.04it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 18.87it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.18it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.46it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:20, 17.78it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:21, 17.27it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:18, 19.38it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:17, 20.24it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.49it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.11it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 17.77it/s]
eval model::  30%|███       | 150/500 [00:08<00:18, 19.37it/s]
eval model::  30%|███       | 152/500 [00:08<00:20, 17.30it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 19.34it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:17, 19.25it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.36it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:25, 13.18it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:23, 14.51it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:19, 17.37it/s]
eval model::  34%|███▍      | 169/500 [00:09<00:17, 19.14it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:16, 19.77it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:17, 19.01it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:15, 20.65it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:17, 18.57it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:15, 20.67it/s]
eval model::  37%|███▋      | 187/500 [00:10<00:15, 20.73it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:14, 21.40it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:13, 22.46it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:15, 20.06it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 20.52it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 21.35it/s]
eval model::  41%|████      | 205/500 [00:11<00:20, 14.64it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:18, 15.75it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 15.18it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.70it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.97it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.62it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:19, 14.39it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:19, 13.98it/s]
eval model::  45%|████▍     | 223/500 [00:12<00:18, 14.83it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.50it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 19.33it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 21.67it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:14, 17.78it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:14, 17.69it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:12, 20.73it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:14, 17.45it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:13, 18.74it/s]
eval model::  50%|█████     | 250/500 [00:13<00:13, 18.45it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 20.68it/s]
eval model::  51%|█████     | 256/500 [00:13<00:12, 20.19it/s]
eval model::  52%|█████▏    | 259/500 [00:14<00:11, 21.55it/s]
eval model::  52%|█████▏    | 262/500 [00:14<00:10, 22.08it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:10, 21.61it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:10, 21.22it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:11, 20.08it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:11, 19.19it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:13, 16.42it/s]
eval model::  56%|█████▌    | 279/500 [00:15<00:12, 17.35it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:11, 19.34it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:17, 12.05it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 12.72it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:13, 15.67it/s]
eval model::  59%|█████▊    | 293/500 [00:16<00:12, 16.99it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:14, 14.52it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 16.15it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 15.94it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 17.76it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:08, 21.27it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:08, 21.20it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:08, 21.47it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:08, 22.72it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:08, 22.29it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:08, 21.95it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:08, 20.92it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 20.12it/s]
eval model::  67%|██████▋   | 333/500 [00:18<00:08, 20.23it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:08, 19.21it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 19.34it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 14.63it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.93it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:07, 19.58it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 20.35it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 21.98it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 22.31it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 22.27it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.38it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.32it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 16.87it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:07, 17.30it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:07, 17.91it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 17.66it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 20.68it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 23.03it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 22.32it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 22.25it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:09, 12.33it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:07, 14.69it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 15.94it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:06, 16.73it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 17.69it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 16.98it/s]
eval model::  81%|████████  | 404/500 [00:21<00:04, 19.28it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 19.07it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 21.05it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 20.44it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 18.72it/s]
eval model::  84%|████████▎ | 418/500 [00:22<00:04, 18.71it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 14.09it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 14.76it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.94it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 13.17it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 15.67it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 15.57it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 17.86it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:03, 20.61it/s]
eval model::  88%|████████▊ | 440/500 [00:24<00:02, 20.95it/s]
eval model::  89%|████████▊ | 443/500 [00:24<00:02, 22.96it/s]
eval model::  89%|████████▉ | 446/500 [00:24<00:02, 22.98it/s]
eval model::  90%|████████▉ | 449/500 [00:24<00:02, 22.76it/s]
eval model::  90%|█████████ | 452/500 [00:24<00:02, 23.83it/s]
eval model::  91%|█████████ | 455/500 [00:24<00:02, 22.00it/s]
eval model::  92%|█████████▏| 458/500 [00:24<00:01, 22.41it/s]
eval model::  92%|█████████▏| 461/500 [00:24<00:01, 21.97it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 17.49it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:01, 17.64it/s]
eval model::  94%|█████████▍| 469/500 [00:25<00:01, 18.81it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 19.28it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 20.92it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 21.55it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 19.70it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 20.19it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 19.55it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 19.28it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 18.78it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 18.50it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 20.46it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 25.11it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.60it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:02,  8.03it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.70it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 17.71it/s]
eval model::   2%|▏         | 9/500 [00:00<00:24, 19.77it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.73it/s]
eval model::   3%|▎         | 13/500 [00:00<00:27, 17.96it/s]
eval model::   3%|▎         | 15/500 [00:00<00:27, 17.82it/s]
eval model::   3%|▎         | 17/500 [00:00<00:28, 17.16it/s]
eval model::   4%|▍         | 19/500 [00:01<00:27, 17.78it/s]
eval model::   4%|▍         | 22/500 [00:01<00:25, 18.73it/s]
eval model::   5%|▍         | 24/500 [00:01<00:26, 18.19it/s]
eval model::   5%|▌         | 26/500 [00:01<00:26, 17.73it/s]
eval model::   6%|▌         | 28/500 [00:01<00:26, 18.05it/s]
eval model::   6%|▌         | 31/500 [00:01<00:25, 18.56it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 19.31it/s]
eval model::   7%|▋         | 37/500 [00:02<00:22, 20.65it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 18.22it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.06it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.90it/s]
eval model::   9%|▉         | 47/500 [00:02<00:24, 18.68it/s]
eval model::  10%|█         | 50/500 [00:02<00:22, 20.36it/s]
eval model::  11%|█         | 53/500 [00:02<00:20, 21.29it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 20.40it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:23, 18.64it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 15.80it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.90it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.88it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.48it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:18, 22.71it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:18, 23.44it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:17, 23.62it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.29it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 21.37it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 19.95it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.21it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.47it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.71it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.67it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.72it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.56it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 20.59it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 19.81it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:20, 19.02it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:19, 19.67it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:20, 18.57it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:19, 19.84it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:23, 16.08it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:21, 17.21it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:22, 16.58it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.11it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:17, 20.35it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:17, 21.17it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:16, 21.16it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 21.53it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 20.65it/s]
eval model::  30%|███       | 151/500 [00:07<00:18, 18.38it/s]
eval model::  31%|███       | 154/500 [00:08<00:16, 20.79it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:15, 21.71it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:20, 16.21it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:18, 17.79it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:18, 18.54it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 19.24it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:17, 18.58it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 16.52it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.76it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 18.94it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:19, 16.27it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:18, 17.53it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:17, 18.02it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 18.45it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:16, 18.27it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:15, 20.33it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:15, 19.40it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:13, 21.55it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 22.60it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 15.37it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:17, 16.80it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:17, 16.80it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.78it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.06it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 14.13it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 16.20it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 15.57it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:15, 18.02it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:15, 17.40it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 20.25it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.24it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 21.23it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:10, 24.02it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:11, 21.70it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:11, 22.06it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:11, 21.23it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 21.79it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 21.90it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:12, 20.05it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 20.38it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 19.72it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 20.63it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 20.55it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:10, 21.00it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:12, 17.84it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.01it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.61it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:15, 13.76it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:13, 15.63it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 17.66it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 17.10it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:13, 14.99it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 17.80it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 17.50it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 18.37it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 19.31it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.83it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 21.09it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 21.27it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 21.00it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 21.06it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 21.65it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:07, 21.46it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 22.60it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 23.17it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 22.38it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:09, 16.02it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:08, 17.73it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:07, 19.20it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 19.14it/s]
eval model::  71%|███████   | 354/500 [00:18<00:07, 20.35it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:07, 20.07it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:06, 20.39it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:06, 20.70it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.73it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 19.06it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 20.00it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.53it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 23.95it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 22.15it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:04, 23.60it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:07, 14.81it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 17.26it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 19.02it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:04, 20.77it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 19.41it/s]
eval model::  81%|████████  | 403/500 [00:21<00:04, 20.08it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 21.00it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 22.14it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:03, 23.92it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 23.26it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 19.07it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 15.16it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.77it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 15.53it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:04, 17.30it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 17.28it/s]
eval model::  87%|████████▋ | 434/500 [00:22<00:03, 19.07it/s]
eval model::  87%|████████▋ | 437/500 [00:22<00:03, 20.88it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:03, 19.01it/s]
eval model::  89%|████████▊ | 443/500 [00:23<00:02, 20.16it/s]
eval model::  89%|████████▉ | 446/500 [00:23<00:02, 21.50it/s]
eval model::  90%|████████▉ | 449/500 [00:23<00:02, 19.79it/s]
eval model::  90%|█████████ | 452/500 [00:23<00:02, 20.49it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:02, 21.40it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:02, 20.62it/s]
eval model::  92%|█████████▏| 461/500 [00:24<00:01, 20.38it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:02, 16.65it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 17.11it/s]
eval model::  94%|█████████▍| 470/500 [00:24<00:01, 18.65it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 19.59it/s]
eval model::  95%|█████████▌| 476/500 [00:24<00:01, 20.30it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:01, 19.68it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 18.86it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 19.78it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 18.62it/s]
eval model::  98%|█████████▊| 491/500 [00:25<00:00, 19.39it/s]
eval model::  99%|█████████▉| 494/500 [00:25<00:00, 20.64it/s]
eval model::  99%|█████████▉| 497/500 [00:25<00:00, 21.35it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 21.83it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.18it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:41, 12.00it/s]
eval model::   1%|          | 5/500 [00:00<00:27, 17.92it/s]
eval model::   1%|▏         | 7/500 [00:00<00:26, 18.31it/s]
eval model::   2%|▏         | 9/500 [00:00<00:27, 17.57it/s]
eval model::   2%|▏         | 11/500 [00:00<00:31, 15.65it/s]
eval model::   3%|▎         | 14/500 [00:00<00:28, 16.87it/s]
eval model::   3%|▎         | 16/500 [00:00<00:27, 17.42it/s]
eval model::   4%|▍         | 19/500 [00:01<00:26, 18.43it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 18.49it/s]
eval model::   5%|▍         | 24/500 [00:01<00:24, 19.19it/s]
eval model::   5%|▌         | 26/500 [00:01<00:26, 17.86it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 19.81it/s]
eval model::   6%|▌         | 31/500 [00:01<00:23, 19.69it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 19.35it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 19.27it/s]
eval model::   8%|▊         | 38/500 [00:02<00:24, 18.53it/s]
eval model::   8%|▊         | 40/500 [00:02<00:28, 16.40it/s]
eval model::   8%|▊         | 42/500 [00:02<00:28, 15.80it/s]
eval model::   9%|▉         | 44/500 [00:02<00:29, 15.57it/s]
eval model::   9%|▉         | 46/500 [00:02<00:33, 13.71it/s]
eval model::  10%|▉         | 49/500 [00:02<00:28, 15.99it/s]
eval model::  10%|█         | 51/500 [00:02<00:28, 15.91it/s]
eval model::  11%|█         | 54/500 [00:03<00:24, 18.08it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:23, 19.15it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:26, 16.75it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:30, 14.49it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:31, 13.81it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:26, 16.17it/s]
eval model::  14%|█▍        | 69/500 [00:04<00:23, 18.28it/s]
eval model::  14%|█▍        | 72/500 [00:04<00:22, 18.93it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 19.45it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:21, 19.34it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:20, 20.89it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:17, 23.51it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 21.18it/s]
eval model::  18%|█▊        | 90/500 [00:05<00:22, 18.37it/s]
eval model::  18%|█▊        | 92/500 [00:05<00:22, 17.79it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:22, 17.78it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:20, 20.08it/s]
eval model::  20%|██        | 100/500 [00:05<00:20, 19.77it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.79it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.15it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 21.10it/s]
eval model::  22%|██▏       | 112/500 [00:06<00:18, 21.05it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:18, 21.10it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:16, 22.60it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:17, 21.37it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 17.95it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.30it/s]
eval model::  26%|██▌       | 129/500 [00:07<00:19, 18.85it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:21, 17.15it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:21, 16.84it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:19, 18.65it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.54it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.87it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.40it/s]
eval model::  29%|██▉       | 147/500 [00:08<00:19, 17.93it/s]
eval model::  30%|███       | 150/500 [00:08<00:18, 18.68it/s]
eval model::  30%|███       | 152/500 [00:08<00:20, 17.11it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 20.83it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 20.56it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:20, 16.58it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:19, 16.84it/s]
eval model::  33%|███▎      | 166/500 [00:09<00:19, 16.79it/s]
eval model::  34%|███▎      | 168/500 [00:09<00:20, 16.34it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:20, 16.21it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:23, 14.06it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:22, 14.65it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.52it/s]
eval model::  36%|███▌      | 181/500 [00:10<00:20, 15.42it/s]
eval model::  37%|███▋      | 183/500 [00:10<00:19, 15.87it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:17, 17.62it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:17, 17.72it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:16, 18.49it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:16, 18.97it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.53it/s]
eval model::  40%|████      | 200/500 [00:11<00:14, 20.16it/s]
eval model::  41%|████      | 203/500 [00:11<00:14, 20.97it/s]
eval model::  41%|████      | 206/500 [00:11<00:23, 12.50it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:22, 13.09it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:21, 13.27it/s]
eval model::  43%|████▎     | 213/500 [00:12<00:20, 14.17it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:21, 13.32it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:22, 12.56it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:20, 13.69it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:22, 12.47it/s]
eval model::  45%|████▍     | 223/500 [00:12<00:19, 13.97it/s]
eval model::  45%|████▌     | 226/500 [00:13<00:17, 15.36it/s]
eval model::  46%|████▌     | 229/500 [00:13<00:15, 17.33it/s]
eval model::  46%|████▋     | 232/500 [00:13<00:13, 19.72it/s]
eval model::  47%|████▋     | 235/500 [00:13<00:14, 18.72it/s]
eval model::  48%|████▊     | 238/500 [00:13<00:12, 20.29it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:14, 17.28it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:16, 15.92it/s]
eval model::  49%|████▉     | 246/500 [00:14<00:14, 17.13it/s]
eval model::  50%|████▉     | 249/500 [00:14<00:14, 17.26it/s]
eval model::  50%|█████     | 252/500 [00:14<00:12, 19.79it/s]
eval model::  51%|█████     | 255/500 [00:14<00:11, 20.48it/s]
eval model::  52%|█████▏    | 258/500 [00:14<00:11, 21.66it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:10, 22.86it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:11, 21.00it/s]
eval model::  53%|█████▎    | 267/500 [00:15<00:11, 20.46it/s]
eval model::  54%|█████▍    | 270/500 [00:15<00:12, 18.67it/s]
eval model::  54%|█████▍    | 272/500 [00:15<00:12, 18.33it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:12, 18.57it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:10, 20.23it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 21.37it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 22.13it/s]
eval model::  57%|█████▋    | 287/500 [00:16<00:17, 12.39it/s]
eval model::  58%|█████▊    | 290/500 [00:16<00:14, 14.10it/s]
eval model::  58%|█████▊    | 292/500 [00:16<00:14, 14.65it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:14, 14.66it/s]
eval model::  59%|█████▉    | 296/500 [00:17<00:16, 12.17it/s]
eval model::  60%|█████▉    | 299/500 [00:17<00:13, 15.11it/s]
eval model::  60%|██████    | 301/500 [00:17<00:14, 13.98it/s]
eval model::  61%|██████    | 304/500 [00:17<00:12, 15.82it/s]
eval model::  61%|██████    | 306/500 [00:17<00:11, 16.50it/s]
eval model::  62%|██████▏   | 309/500 [00:17<00:10, 17.90it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:10, 18.03it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:10, 18.43it/s]
eval model::  63%|██████▎   | 316/500 [00:18<00:09, 18.68it/s]
eval model::  64%|██████▍   | 319/500 [00:18<00:08, 20.72it/s]
eval model::  64%|██████▍   | 322/500 [00:18<00:09, 18.14it/s]
eval model::  65%|██████▍   | 324/500 [00:18<00:09, 18.53it/s]
eval model::  65%|██████▌   | 327/500 [00:18<00:08, 20.28it/s]
eval model::  66%|██████▌   | 330/500 [00:18<00:09, 18.66it/s]
eval model::  67%|██████▋   | 333/500 [00:18<00:08, 19.46it/s]
eval model::  67%|██████▋   | 336/500 [00:19<00:08, 20.40it/s]
eval model::  68%|██████▊   | 339/500 [00:19<00:08, 19.04it/s]
eval model::  68%|██████▊   | 341/500 [00:19<00:11, 14.16it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:10, 15.07it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:09, 16.73it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:08, 18.33it/s]
eval model::  70%|███████   | 352/500 [00:20<00:07, 19.71it/s]
eval model::  71%|███████   | 355/500 [00:20<00:07, 19.44it/s]
eval model::  72%|███████▏  | 358/500 [00:20<00:07, 19.51it/s]
eval model::  72%|███████▏  | 361/500 [00:20<00:08, 16.69it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:08, 16.04it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:08, 15.46it/s]
eval model::  74%|███████▎  | 368/500 [00:21<00:08, 16.20it/s]
eval model::  74%|███████▍  | 370/500 [00:21<00:07, 16.49it/s]
eval model::  74%|███████▍  | 372/500 [00:21<00:07, 16.09it/s]
eval model::  75%|███████▌  | 375/500 [00:21<00:07, 17.10it/s]
eval model::  75%|███████▌  | 377/500 [00:21<00:07, 17.43it/s]
eval model::  76%|███████▌  | 380/500 [00:21<00:07, 17.10it/s]
eval model::  77%|███████▋  | 384/500 [00:21<00:05, 20.50it/s]
eval model::  77%|███████▋  | 387/500 [00:22<00:08, 12.57it/s]
eval model::  78%|███████▊  | 390/500 [00:22<00:07, 14.45it/s]
eval model::  79%|███████▊  | 393/500 [00:22<00:06, 16.35it/s]
eval model::  79%|███████▉  | 395/500 [00:22<00:06, 16.54it/s]
eval model::  80%|███████▉  | 399/500 [00:22<00:05, 19.70it/s]
eval model::  80%|████████  | 402/500 [00:22<00:04, 20.00it/s]
eval model::  81%|████████  | 405/500 [00:23<00:04, 20.19it/s]
eval model::  82%|████████▏ | 408/500 [00:23<00:04, 21.39it/s]
eval model::  82%|████████▏ | 411/500 [00:23<00:04, 21.51it/s]
eval model::  83%|████████▎ | 414/500 [00:23<00:04, 21.40it/s]
eval model::  83%|████████▎ | 417/500 [00:23<00:04, 20.14it/s]
eval model::  84%|████████▍ | 420/500 [00:24<00:05, 13.41it/s]
eval model::  84%|████████▍ | 422/500 [00:24<00:05, 13.85it/s]
eval model::  85%|████████▍ | 424/500 [00:24<00:05, 13.66it/s]
eval model::  85%|████████▌ | 426/500 [00:24<00:05, 13.98it/s]
eval model::  86%|████████▌ | 429/500 [00:24<00:04, 16.34it/s]
eval model::  86%|████████▌ | 431/500 [00:24<00:04, 15.31it/s]
eval model::  87%|████████▋ | 434/500 [00:24<00:03, 18.00it/s]
eval model::  87%|████████▋ | 437/500 [00:25<00:03, 19.14it/s]
eval model::  88%|████████▊ | 440/500 [00:25<00:03, 18.50it/s]
eval model::  89%|████████▊ | 443/500 [00:25<00:02, 20.38it/s]
eval model::  89%|████████▉ | 446/500 [00:25<00:02, 21.04it/s]
eval model::  90%|████████▉ | 449/500 [00:25<00:02, 19.17it/s]
eval model::  90%|█████████ | 452/500 [00:25<00:02, 20.51it/s]
eval model::  91%|█████████ | 455/500 [00:25<00:02, 21.87it/s]
eval model::  92%|█████████▏| 458/500 [00:25<00:01, 23.60it/s]
eval model::  92%|█████████▏| 461/500 [00:26<00:01, 24.29it/s]
eval model::  93%|█████████▎| 464/500 [00:26<00:01, 18.53it/s]
eval model::  93%|█████████▎| 467/500 [00:26<00:02, 15.72it/s]
eval model::  94%|█████████▍| 470/500 [00:26<00:01, 17.83it/s]
eval model::  95%|█████████▍| 473/500 [00:26<00:01, 18.52it/s]
eval model::  95%|█████████▌| 476/500 [00:26<00:01, 20.01it/s]
eval model::  96%|█████████▌| 479/500 [00:27<00:00, 22.06it/s]
eval model::  96%|█████████▋| 482/500 [00:27<00:00, 21.80it/s]
eval model::  97%|█████████▋| 485/500 [00:27<00:00, 23.15it/s]
eval model::  98%|█████████▊| 488/500 [00:27<00:00, 20.88it/s]
eval model::  98%|█████████▊| 491/500 [00:27<00:00, 20.90it/s]
eval model::  99%|█████████▉| 494/500 [00:27<00:00, 19.89it/s]
eval model::  99%|█████████▉| 497/500 [00:27<00:00, 20.37it/s]
eval model:: 100%|██████████| 500/500 [00:28<00:00, 17.81it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:51,  9.67it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.01it/s]
eval model::   1%|▏         | 7/500 [00:00<00:23, 20.78it/s]
eval model::   2%|▏         | 10/500 [00:00<00:27, 17.75it/s]
eval model::   2%|▏         | 12/500 [00:00<00:26, 18.16it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.72it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.52it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 18.55it/s]
eval model::   5%|▍         | 24/500 [00:01<00:24, 19.69it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 19.11it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 21.06it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.29it/s]
eval model::   7%|▋         | 34/500 [00:01<00:26, 17.58it/s]
eval model::   7%|▋         | 37/500 [00:01<00:24, 19.22it/s]
eval model::   8%|▊         | 39/500 [00:02<00:27, 16.91it/s]
eval model::   8%|▊         | 42/500 [00:02<00:28, 16.22it/s]
eval model::   9%|▉         | 44/500 [00:02<00:27, 16.86it/s]
eval model::   9%|▉         | 46/500 [00:02<00:28, 15.73it/s]
eval model::  10%|▉         | 49/500 [00:02<00:26, 17.33it/s]
eval model::  10%|█         | 51/500 [00:02<00:25, 17.55it/s]
eval model::  11%|█         | 54/500 [00:02<00:23, 19.09it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:21, 20.29it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.96it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.82it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.44it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 20.07it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 21.00it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 19.76it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 21.09it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.75it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.80it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.37it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:24, 17.05it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 17.77it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 18.41it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:21, 18.80it/s]
eval model::  20%|██        | 101/500 [00:05<00:22, 17.56it/s]
eval model::  21%|██        | 104/500 [00:05<00:20, 19.62it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 21.36it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:18, 21.15it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:18, 20.55it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:20, 18.77it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:19, 19.77it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:20, 18.73it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:21, 17.83it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.07it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.47it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:19, 19.32it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:19, 19.16it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:18, 20.03it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.51it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:18, 19.22it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:16, 21.36it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 19.85it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:17, 20.14it/s]
eval model::  30%|███       | 152/500 [00:08<00:19, 18.27it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 20.47it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.29it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:23, 14.51it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:21, 15.34it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:20, 16.11it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:18, 18.33it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:19, 17.22it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:21, 15.40it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:20, 15.95it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.37it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:20, 15.37it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 18.19it/s]
eval model::  37%|███▋      | 187/500 [00:10<00:17, 18.25it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:16, 19.06it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:14, 20.60it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:16, 18.79it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:15, 19.82it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 20.52it/s]
eval model::  41%|████      | 205/500 [00:11<00:24, 12.06it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:22, 13.23it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:21, 13.27it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.85it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.54it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:22, 12.59it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:19, 14.68it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:21, 13.19it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:16, 16.26it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 16.18it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:14, 18.41it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:13, 19.43it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:14, 18.43it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:12, 20.32it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 17.30it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 18.93it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.60it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 20.83it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 22.18it/s]
eval model::  51%|█████▏    | 257/500 [00:14<00:10, 22.65it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:10, 23.94it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:11, 21.50it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 19.06it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:13, 16.69it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 17.69it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:12, 18.51it/s]
eval model::  55%|█████▌    | 277/500 [00:15<00:11, 18.67it/s]
eval model::  56%|█████▌    | 280/500 [00:15<00:11, 19.47it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:10, 19.96it/s]
eval model::  57%|█████▋    | 286/500 [00:16<00:18, 11.64it/s]
eval model::  58%|█████▊    | 288/500 [00:16<00:16, 12.69it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:13, 15.19it/s]
eval model::  59%|█████▊    | 293/500 [00:16<00:13, 15.73it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:16, 12.71it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:11, 17.08it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 16.10it/s]
eval model::  61%|██████    | 304/500 [00:17<00:11, 16.55it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:10, 18.08it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:09, 19.79it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:09, 19.08it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 19.09it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.57it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 19.83it/s]
eval model::  65%|██████▌   | 325/500 [00:18<00:08, 19.55it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:08, 20.62it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 19.46it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:08, 20.61it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 20.32it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 14.91it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:09, 17.09it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:07, 19.35it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 20.94it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 21.82it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.91it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 19.67it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.38it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:07, 18.62it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:08, 16.38it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:07, 17.90it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 18.18it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 20.44it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 21.28it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 20.49it/s]
eval model::  77%|███████▋  | 384/500 [00:21<00:05, 22.33it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:07, 14.69it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 16.36it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.64it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 17.15it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 19.15it/s]
eval model::  80%|████████  | 400/500 [00:22<00:05, 18.46it/s]
eval model::  80%|████████  | 402/500 [00:22<00:05, 17.32it/s]
eval model::  81%|████████  | 405/500 [00:22<00:05, 18.61it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:05, 18.19it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 19.78it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 20.35it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 18.73it/s]
eval model::  84%|████████▎ | 418/500 [00:23<00:04, 18.23it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:05, 13.65it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 14.74it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:04, 15.52it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 16.04it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:03, 19.23it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 18.08it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 19.74it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:03, 20.52it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:03, 19.27it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 19.98it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 21.22it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 20.00it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.62it/s]
eval model::  91%|█████████ | 456/500 [00:25<00:01, 22.97it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 22.87it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:01, 19.26it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:01, 18.07it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:01, 17.88it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 19.53it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 19.12it/s]
eval model::  95%|█████████▌| 475/500 [00:26<00:01, 19.00it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:01, 20.66it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 21.20it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 21.24it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 20.22it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 21.39it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 18.86it/s]
eval model::  99%|█████████▉| 495/500 [00:27<00:00, 18.78it/s]
eval model:: 100%|█████████▉| 499/500 [00:27<00:00, 22.35it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.38it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:59,  8.37it/s]
eval model::   1%|          | 3/500 [00:00<00:37, 13.31it/s]
eval model::   1%|          | 6/500 [00:00<00:33, 14.65it/s]
eval model::   2%|▏         | 8/500 [00:00<00:30, 15.95it/s]
eval model::   2%|▏         | 10/500 [00:00<00:29, 16.80it/s]
eval model::   2%|▏         | 12/500 [00:00<00:31, 15.62it/s]
eval model::   3%|▎         | 14/500 [00:00<00:30, 15.93it/s]
eval model::   3%|▎         | 17/500 [00:01<00:26, 18.45it/s]
eval model::   4%|▍         | 19/500 [00:01<00:27, 17.80it/s]
eval model::   4%|▍         | 21/500 [00:01<00:27, 17.38it/s]
eval model::   5%|▍         | 24/500 [00:01<00:24, 19.52it/s]
eval model::   5%|▌         | 26/500 [00:01<00:25, 18.63it/s]
eval model::   6%|▌         | 28/500 [00:01<00:24, 18.90it/s]
eval model::   6%|▌         | 30/500 [00:01<00:24, 19.04it/s]
eval model::   6%|▋         | 32/500 [00:01<00:27, 17.13it/s]
eval model::   7%|▋         | 34/500 [00:01<00:27, 17.09it/s]
eval model::   7%|▋         | 36/500 [00:02<00:27, 16.62it/s]
eval model::   8%|▊         | 38/500 [00:02<00:27, 16.91it/s]
eval model::   8%|▊         | 40/500 [00:02<00:27, 17.00it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.57it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.77it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 17.08it/s]
eval model::  10%|█         | 50/500 [00:02<00:25, 17.88it/s]
eval model::  11%|█         | 53/500 [00:03<00:23, 18.66it/s]
eval model::  11%|█         | 56/500 [00:03<00:24, 18.24it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:24, 18.05it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:31, 13.86it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:32, 13.57it/s]
eval model::  13%|█▎        | 65/500 [00:03<00:29, 14.65it/s]
eval model::  14%|█▍        | 69/500 [00:04<00:22, 18.94it/s]
eval model::  14%|█▍        | 72/500 [00:04<00:21, 19.68it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 20.00it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:21, 19.88it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.75it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 21.93it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.36it/s]
eval model::  18%|█▊        | 90/500 [00:05<00:24, 16.43it/s]
eval model::  18%|█▊        | 92/500 [00:05<00:24, 16.78it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:23, 17.16it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:20, 19.28it/s]
eval model::  20%|██        | 100/500 [00:05<00:20, 19.22it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.67it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.37it/s]
eval model::  22%|██▏       | 109/500 [00:06<00:18, 21.41it/s]
eval model::  22%|██▏       | 112/500 [00:06<00:17, 21.98it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:18, 20.57it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:17, 22.06it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.73it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 18.87it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.52it/s]
eval model::  26%|██▌       | 129/500 [00:07<00:19, 18.66it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:21, 17.22it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:22, 16.31it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:20, 17.50it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:20, 17.87it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:19, 18.31it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 19.84it/s]
eval model::  29%|██▉       | 147/500 [00:08<00:19, 17.94it/s]
eval model::  30%|███       | 150/500 [00:08<00:17, 19.54it/s]
eval model::  31%|███       | 153/500 [00:08<00:18, 18.45it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 20.47it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 20.47it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:18, 18.34it/s]
eval model::  33%|███▎      | 164/500 [00:09<00:18, 18.45it/s]
eval model::  33%|███▎      | 167/500 [00:09<00:16, 19.71it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:15, 20.66it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:16, 19.59it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.35it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 18.91it/s]
eval model::  36%|███▋      | 182/500 [00:10<00:19, 16.56it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:16, 19.34it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:14, 20.75it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 20.59it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 20.11it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 19.73it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.91it/s]
eval model::  41%|████      | 204/500 [00:11<00:13, 21.82it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:20, 14.06it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.54it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.36it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.45it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:22, 12.50it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:19, 14.32it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.59it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.71it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 20.45it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:13, 20.53it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:14, 18.77it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:12, 21.07it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 18.06it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 19.75it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.08it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 22.01it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.98it/s]
eval model::  51%|█████▏    | 257/500 [00:14<00:10, 23.07it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:10, 23.84it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:10, 21.56it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:11, 20.78it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:13, 17.75it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 17.87it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:13, 16.99it/s]
eval model::  55%|█████▌    | 277/500 [00:15<00:12, 17.56it/s]
eval model::  56%|█████▌    | 280/500 [00:15<00:11, 18.83it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:11, 19.05it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:17, 12.23it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 13.19it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:11, 17.48it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:12, 17.12it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:14, 14.26it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 16.51it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 17.13it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 18.81it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 20.59it/s]
eval model::  62%|██████▏   | 311/500 [00:17<00:08, 21.41it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:08, 21.44it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:08, 22.10it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 21.97it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 20.38it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:07, 22.46it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 20.11it/s]
eval model::  66%|██████▋   | 332/500 [00:18<00:07, 21.36it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:07, 23.20it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:07, 21.67it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:10, 15.75it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:08, 17.37it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:08, 18.65it/s]
eval model::  70%|███████   | 351/500 [00:19<00:07, 19.76it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.25it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.47it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:06, 20.32it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 19.32it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.42it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:06, 18.93it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:06, 18.97it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:06, 18.91it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 21.10it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.90it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 22.40it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:08, 13.53it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 16.51it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 17.22it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 17.53it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 18.78it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 17.97it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 19.89it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 21.66it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 21.81it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 21.54it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 18.73it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 17.61it/s]
eval model::  84%|████████▍ | 421/500 [00:23<00:06, 12.53it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.07it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.55it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 17.42it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 19.38it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:02, 21.83it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 22.03it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 21.52it/s]
eval model::  89%|████████▉ | 445/500 [00:24<00:02, 22.88it/s]
eval model::  90%|████████▉ | 448/500 [00:24<00:02, 22.04it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 21.53it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 22.13it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 22.51it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 21.47it/s]
eval model::  93%|█████████▎| 463/500 [00:25<00:02, 17.60it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:01, 17.57it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:01, 17.51it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 20.01it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 21.23it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 22.17it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:00, 22.94it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 21.01it/s]
eval model::  97%|█████████▋| 485/500 [00:26<00:00, 21.17it/s]
eval model::  98%|█████████▊| 488/500 [00:26<00:00, 19.18it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 18.97it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 16.52it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 17.80it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 20.13it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.63it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:51,  9.62it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 18.75it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.53it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 18.21it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 18.98it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 19.41it/s]
eval model::   4%|▎         | 18/500 [00:00<00:21, 21.95it/s]
eval model::   4%|▍         | 21/500 [00:01<00:23, 19.99it/s]
eval model::   5%|▍         | 24/500 [00:01<00:22, 21.15it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 20.93it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 21.67it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 19.99it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 20.04it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 18.40it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.92it/s]
eval model::   9%|▉         | 45/500 [00:02<00:22, 20.14it/s]
eval model::  10%|▉         | 48/500 [00:02<00:24, 18.66it/s]
eval model::  10%|█         | 51/500 [00:02<00:23, 19.19it/s]
eval model::  11%|█         | 54/500 [00:02<00:22, 19.81it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:23, 18.97it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:24, 17.68it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:30, 14.45it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.88it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.67it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 18.89it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 19.48it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:20, 20.38it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.15it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 23.15it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.84it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 20.52it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 18.73it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:21, 18.96it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:21, 19.20it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:20, 19.81it/s]
eval model::  20%|██        | 101/500 [00:05<00:21, 18.61it/s]
eval model::  21%|██        | 104/500 [00:05<00:20, 19.59it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 21.67it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:17, 22.60it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:16, 23.37it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:19, 20.01it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:18, 20.70it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:18, 20.08it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:22, 16.66it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:19, 18.73it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 18.12it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:20, 17.65it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:19, 18.99it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.88it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.38it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.54it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.34it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.64it/s]
eval model::  30%|███       | 152/500 [00:07<00:19, 18.20it/s]
eval model::  31%|███       | 155/500 [00:07<00:17, 19.85it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 21.42it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:19, 17.32it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.19it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:18, 17.75it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 19.02it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 18.19it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:19, 16.79it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.82it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.27it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:18, 17.55it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:16, 19.43it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:15, 19.60it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:14, 20.66it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:13, 22.48it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:15, 19.41it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 20.80it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 21.15it/s]
eval model::  41%|████      | 206/500 [00:10<00:19, 14.85it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:19, 15.03it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 15.18it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.58it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.50it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.76it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.64it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:19, 14.16it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.92it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.38it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 22.61it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 20.98it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.10it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 18.78it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:12, 20.17it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.64it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 20.59it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.61it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:10, 22.21it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 22.76it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 21.52it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:11, 20.74it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 18.71it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.62it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 18.93it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:11, 18.97it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:10, 20.54it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:10, 21.33it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:19, 10.80it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:14, 14.37it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:13, 15.85it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:15, 12.90it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 15.02it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 16.98it/s]
eval model::  61%|██████    | 306/500 [00:16<00:10, 18.58it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:09, 19.99it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:09, 19.89it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 20.11it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 21.26it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:08, 20.90it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:08, 20.98it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:08, 21.49it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 21.05it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 21.35it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 21.27it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 20.93it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:10, 15.71it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 18.85it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.74it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 20.93it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 19.40it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 20.31it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:08, 16.61it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.76it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 15.95it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.29it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 18.72it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 20.16it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:05, 23.10it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 21.14it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:05, 22.31it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:07, 14.43it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 15.99it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:06, 16.57it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 18.04it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.05it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 18.31it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 19.87it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 21.65it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 22.73it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 22.76it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 19.59it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 15.39it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 16.06it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 16.14it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.05it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 20.53it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 20.98it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:02, 22.13it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 23.44it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 23.64it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 23.56it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 22.24it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 22.81it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 22.81it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 24.43it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 21.33it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 19.26it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 18.96it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 18.77it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 20.90it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 20.50it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 22.57it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 22.31it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 21.70it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 19.45it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 21.41it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 18.01it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 18.27it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 19.62it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.13it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:02,  8.02it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.38it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.44it/s]
eval model::   2%|▏         | 9/500 [00:00<00:25, 19.11it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.50it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.60it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 20.01it/s]
eval model::   4%|▍         | 20/500 [00:01<00:26, 18.28it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.60it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 19.13it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 20.06it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 20.11it/s]
eval model::   7%|▋         | 35/500 [00:01<00:25, 18.29it/s]
eval model::   8%|▊         | 38/500 [00:02<00:23, 19.89it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.26it/s]
eval model::   9%|▊         | 43/500 [00:02<00:27, 16.87it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 17.35it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 18.94it/s]
eval model::  10%|█         | 51/500 [00:02<00:24, 18.58it/s]
eval model::  11%|█         | 54/500 [00:02<00:22, 20.11it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:21, 20.29it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.32it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:29, 14.81it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:29, 14.91it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:24, 17.84it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:21, 19.63it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 21.05it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:18, 22.81it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:18, 22.42it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:17, 23.43it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 22.34it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 19.87it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:23, 17.76it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:23, 17.05it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:22, 17.77it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.17it/s]
eval model::  20%|██        | 101/500 [00:05<00:21, 18.72it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 20.43it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:17, 21.99it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:18, 21.56it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:18, 21.08it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:19, 19.96it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:18, 20.31it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:18, 20.10it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:21, 17.55it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:18, 19.71it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:19, 18.84it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:20, 17.87it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:18, 20.01it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:17, 21.05it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:16, 21.93it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 21.62it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:18, 19.15it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 17.75it/s]
eval model::  31%|███       | 154/500 [00:07<00:17, 19.59it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:15, 21.82it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:21, 15.90it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.31it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 18.81it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 19.20it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:17, 18.79it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:21, 15.10it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:20, 15.71it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.44it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 16.56it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.12it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 19.87it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:15, 19.59it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:16, 18.76it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.55it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 20.40it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 20.43it/s]
eval model::  41%|████      | 206/500 [00:11<00:23, 12.69it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:21, 13.41it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:21, 13.81it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:20, 14.31it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:23, 11.90it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:24, 11.78it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:19, 14.27it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:21, 13.13it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:17, 16.13it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 16.23it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:14, 19.03it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 20.57it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 18.98it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:13, 19.96it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:15, 17.13it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 19.86it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:13, 18.90it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 20.72it/s]
eval model::  51%|█████     | 255/500 [00:13<00:10, 22.54it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 22.26it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:11, 21.62it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:12, 19.43it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 19.90it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:13, 17.26it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:12, 17.91it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:13, 16.72it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:12, 18.19it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 20.21it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 21.07it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 12.93it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.90it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:12, 16.67it/s]
eval model::  59%|█████▉    | 297/500 [00:16<00:13, 14.96it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 15.11it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 15.38it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.34it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:11, 17.53it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:09, 19.41it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:09, 19.64it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 18.67it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.74it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 19.17it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.84it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 20.95it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:07, 21.67it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:07, 23.52it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 21.66it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.84it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 18.37it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:07, 20.57it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:06, 21.71it/s]
eval model::  70%|███████   | 352/500 [00:19<00:07, 20.12it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 19.96it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 19.20it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:08, 17.12it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.65it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 15.61it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:07, 16.81it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 17.56it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 19.28it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 21.13it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 20.42it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 22.09it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:08, 13.24it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 15.89it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 16.71it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:06, 17.27it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 18.37it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 17.93it/s]
eval model::  81%|████████  | 405/500 [00:22<00:04, 19.33it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 20.27it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 21.41it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:04, 20.96it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 19.57it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:05, 13.63it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 14.09it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.97it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 15.01it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:04, 15.44it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 16.34it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 19.16it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:02, 21.45it/s]
eval model::  88%|████████▊ | 440/500 [00:24<00:03, 19.75it/s]
eval model::  89%|████████▊ | 443/500 [00:24<00:02, 21.42it/s]
eval model::  89%|████████▉ | 446/500 [00:24<00:02, 20.79it/s]
eval model::  90%|████████▉ | 449/500 [00:24<00:02, 19.36it/s]
eval model::  90%|█████████ | 452/500 [00:24<00:02, 20.88it/s]
eval model::  91%|█████████ | 455/500 [00:24<00:02, 22.06it/s]
eval model::  92%|█████████▏| 458/500 [00:24<00:01, 23.88it/s]
eval model::  92%|█████████▏| 461/500 [00:25<00:01, 22.65it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:01, 19.00it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:01, 17.09it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 19.57it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 20.96it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 22.00it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:00, 22.22it/s]
eval model::  96%|█████████▋| 482/500 [00:26<00:00, 21.64it/s]
eval model::  97%|█████████▋| 485/500 [00:26<00:00, 22.67it/s]
eval model::  98%|█████████▊| 488/500 [00:26<00:00, 19.10it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 19.31it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 18.12it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 17.92it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 22.23it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.53it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:41, 12.12it/s]
eval model::   1%|          | 4/500 [00:00<00:32, 15.32it/s]
eval model::   1%|▏         | 7/500 [00:00<00:25, 19.52it/s]
eval model::   2%|▏         | 10/500 [00:00<00:24, 20.30it/s]
eval model::   3%|▎         | 13/500 [00:00<00:26, 18.33it/s]
eval model::   3%|▎         | 15/500 [00:00<00:26, 18.07it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.48it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.48it/s]
eval model::   5%|▍         | 24/500 [00:01<00:21, 21.64it/s]
eval model::   5%|▌         | 27/500 [00:01<00:23, 20.16it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 20.75it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.56it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 19.80it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 18.16it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.33it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.08it/s]
eval model::   9%|▉         | 47/500 [00:02<00:25, 17.66it/s]
eval model::  10%|▉         | 49/500 [00:02<00:24, 18.16it/s]
eval model::  10%|█         | 51/500 [00:02<00:24, 18.31it/s]
eval model::  11%|█         | 53/500 [00:02<00:24, 18.56it/s]
eval model::  11%|█         | 56/500 [00:02<00:22, 19.46it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.84it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 16.03it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.27it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:22, 19.39it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 21.04it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:19, 21.79it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:20, 20.59it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.68it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:20, 20.49it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.42it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 18.80it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 18.30it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.06it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:23, 17.66it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:22, 18.19it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:22, 17.59it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:23, 17.22it/s]
eval model::  20%|██        | 101/500 [00:05<00:23, 17.14it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 19.86it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:17, 22.24it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:17, 22.41it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:16, 23.14it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:18, 21.32it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:16, 22.58it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:17, 21.84it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:21, 17.65it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:19, 19.55it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:19, 18.71it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:20, 17.91it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:18, 19.57it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.58it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.73it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 21.15it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:18, 19.20it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 18.34it/s]
eval model::  31%|███       | 154/500 [00:07<00:16, 20.37it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:16, 20.66it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:22, 15.06it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.80it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:18, 18.29it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 19.60it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:17, 18.54it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:21, 15.34it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:20, 16.03it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.75it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 16.28it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:17, 18.26it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:16, 18.92it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:16, 19.14it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 21.47it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.33it/s]
eval model::  40%|████      | 200/500 [00:10<00:15, 19.76it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 20.59it/s]
eval model::  41%|████      | 206/500 [00:11<00:21, 13.46it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:21, 13.73it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:21, 13.53it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.54it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:23, 11.94it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:24, 11.48it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:22, 12.73it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:23, 11.70it/s]
eval model::  45%|████▍     | 223/500 [00:12<00:21, 13.07it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:18, 15.11it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 19.45it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 20.79it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 20.09it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:12, 20.31it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 17.98it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 19.80it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.80it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 21.08it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.67it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:10, 23.14it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:10, 23.93it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:10, 22.88it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 18.79it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:14, 16.14it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 17.80it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:13, 16.97it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:12, 17.86it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:11, 19.68it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 20.86it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:17, 11.83it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:14, 14.41it/s]
eval model::  59%|█████▊    | 293/500 [00:16<00:12, 16.01it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:13, 14.64it/s]
eval model::  60%|██████    | 300/500 [00:16<00:11, 16.83it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 16.86it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.02it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:09, 19.43it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 20.99it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:08, 21.47it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:08, 20.51it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 21.71it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 20.77it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:07, 21.96it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 20.85it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.72it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:07, 22.21it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 18.22it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:08, 18.02it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:11, 13.52it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:10, 14.57it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:09, 16.55it/s]
eval model::  70%|██████▉   | 348/500 [00:19<00:08, 17.01it/s]
eval model::  70%|███████   | 351/500 [00:19<00:08, 18.21it/s]
eval model::  71%|███████   | 354/500 [00:19<00:06, 20.86it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:07, 18.92it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:07, 19.98it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 17.14it/s]
eval model::  73%|███████▎  | 365/500 [00:20<00:08, 15.59it/s]
eval model::  73%|███████▎  | 367/500 [00:20<00:09, 13.89it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:08, 15.96it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 16.37it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 18.67it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:05, 22.70it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 20.15it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:07, 14.63it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:06, 17.02it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 17.35it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:06, 16.79it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 18.37it/s]
eval model::  80%|████████  | 401/500 [00:22<00:05, 16.88it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 18.57it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 19.86it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 21.03it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 21.10it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 20.14it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 19.39it/s]
eval model::  84%|████████▍ | 421/500 [00:23<00:06, 12.78it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.62it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.66it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 16.91it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 16.93it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 21.15it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 22.59it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:02, 20.66it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 22.23it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 23.97it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 19.60it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.09it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:02, 20.17it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:02, 19.25it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:02, 16.38it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:02, 15.95it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 17.21it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 19.56it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 20.20it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:01, 20.84it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 20.56it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 21.45it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 20.40it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 22.33it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 20.33it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 19.83it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 23.35it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.44it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:59,  8.36it/s]
eval model::   1%|          | 4/500 [00:00<00:32, 15.49it/s]
eval model::   1%|          | 6/500 [00:00<00:30, 16.36it/s]
eval model::   2%|▏         | 9/500 [00:00<00:27, 17.92it/s]
eval model::   2%|▏         | 11/500 [00:00<00:30, 15.85it/s]
eval model::   3%|▎         | 13/500 [00:00<00:29, 16.79it/s]
eval model::   3%|▎         | 15/500 [00:00<00:30, 15.88it/s]
eval model::   4%|▍         | 19/500 [00:01<00:26, 18.39it/s]
eval model::   4%|▍         | 21/500 [00:01<00:28, 16.65it/s]
eval model::   5%|▍         | 24/500 [00:01<00:24, 19.37it/s]
eval model::   5%|▌         | 26/500 [00:01<00:25, 18.48it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 21.15it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.43it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 19.67it/s]
eval model::   8%|▊         | 38/500 [00:02<00:22, 20.25it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.61it/s]
eval model::   9%|▊         | 43/500 [00:02<00:27, 16.65it/s]
eval model::   9%|▉         | 46/500 [00:02<00:28, 15.82it/s]
eval model::  10%|▉         | 48/500 [00:02<00:27, 16.64it/s]
eval model::  10%|█         | 50/500 [00:02<00:26, 17.30it/s]
eval model::  11%|█         | 53/500 [00:02<00:23, 19.12it/s]
eval model::  11%|█         | 56/500 [00:03<00:22, 19.94it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:23, 18.46it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 15.79it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.20it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 17.12it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:23, 18.59it/s]
eval model::  14%|█▍        | 72/500 [00:04<00:22, 19.31it/s]
eval model::  15%|█▍        | 74/500 [00:04<00:22, 18.81it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:21, 19.74it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:19, 21.65it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:18, 23.01it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:19, 20.99it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 18.65it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.26it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:22, 17.93it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.50it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:20, 19.54it/s]
eval model::  20%|██        | 100/500 [00:05<00:23, 17.03it/s]
eval model::  21%|██        | 103/500 [00:05<00:21, 18.88it/s]
eval model::  21%|██        | 106/500 [00:05<00:20, 19.47it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 20.76it/s]
eval model::  22%|██▏       | 112/500 [00:06<00:18, 20.81it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:19, 19.61it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 21.07it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.55it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.08it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:17, 20.77it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 18.62it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:20, 17.73it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 20.10it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 20.10it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:16, 21.39it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.52it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 18.93it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.83it/s]
eval model::  31%|███       | 153/500 [00:08<00:19, 18.01it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 20.28it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:15, 21.49it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:20, 16.46it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:19, 17.08it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 17.86it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:17, 19.03it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:18, 17.83it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:25, 12.94it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:23, 13.65it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:23, 13.67it/s]
eval model::  37%|███▋      | 183/500 [00:10<00:20, 15.81it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:17, 17.47it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:17, 17.79it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:17, 17.52it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:17, 17.68it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:17, 17.89it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.05it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 20.65it/s]
eval model::  41%|████      | 203/500 [00:11<00:14, 21.14it/s]
eval model::  41%|████      | 206/500 [00:11<00:21, 13.73it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:20, 13.93it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:20, 13.97it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.95it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:20, 13.75it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:22, 12.71it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:19, 14.07it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:22, 12.44it/s]
eval model::  45%|████▍     | 223/500 [00:12<00:20, 13.81it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:17, 15.60it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 19.54it/s]
eval model::  47%|████▋     | 233/500 [00:13<00:13, 19.61it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:13, 19.58it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:12, 21.49it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 17.57it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:14, 17.67it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:13, 19.10it/s]
eval model::  50%|█████     | 250/500 [00:13<00:12, 19.27it/s]
eval model::  51%|█████     | 253/500 [00:14<00:12, 20.46it/s]
eval model::  51%|█████     | 256/500 [00:14<00:11, 21.22it/s]
eval model::  52%|█████▏    | 259/500 [00:14<00:10, 22.27it/s]
eval model::  52%|█████▏    | 262/500 [00:14<00:10, 21.75it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:11, 20.17it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:11, 19.56it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 18.90it/s]
eval model::  54%|█████▍    | 272/500 [00:15<00:12, 18.12it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:11, 18.92it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:10, 20.65it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 21.76it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 22.42it/s]
eval model::  57%|█████▋    | 287/500 [00:16<00:16, 12.95it/s]
eval model::  58%|█████▊    | 290/500 [00:16<00:13, 15.60it/s]
eval model::  59%|█████▊    | 293/500 [00:16<00:12, 17.03it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 13.39it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 15.54it/s]
eval model::  60%|██████    | 301/500 [00:16<00:14, 14.17it/s]
eval model::  61%|██████    | 304/500 [00:17<00:12, 15.32it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:10, 17.98it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:10, 18.37it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:10, 18.65it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:10, 18.29it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:09, 19.95it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 20.10it/s]
eval model::  65%|██████▌   | 325/500 [00:18<00:08, 21.67it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:07, 22.07it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:07, 22.42it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:06, 24.16it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 21.29it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.61it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:09, 17.40it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:07, 19.53it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 20.44it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 21.48it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.11it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.05it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.25it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:07, 17.37it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:08, 16.35it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:07, 17.87it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 18.08it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 20.11it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 21.46it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 19.98it/s]
eval model::  77%|███████▋  | 384/500 [00:21<00:05, 21.75it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:10, 11.18it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:08, 13.27it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:07, 13.75it/s]
eval model::  79%|███████▉  | 395/500 [00:22<00:06, 15.02it/s]
eval model::  80%|███████▉  | 398/500 [00:22<00:05, 17.26it/s]
eval model::  80%|████████  | 401/500 [00:22<00:06, 16.08it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 18.44it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 20.23it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 22.07it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:03, 22.72it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 20.42it/s]
eval model::  84%|████████▍ | 419/500 [00:23<00:04, 19.67it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 14.67it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.55it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.11it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 16.99it/s]
eval model::  86%|████████▌ | 431/500 [00:24<00:04, 16.56it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 20.39it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 22.29it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:03, 19.55it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 21.35it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 22.06it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 21.47it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.64it/s]
eval model::  91%|█████████ | 456/500 [00:25<00:01, 23.19it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 22.32it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:02, 17.87it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 17.44it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 16.96it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 17.49it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 20.11it/s]
eval model::  95%|█████████▍| 474/500 [00:26<00:01, 18.84it/s]
eval model::  95%|█████████▌| 477/500 [00:26<00:01, 19.49it/s]
eval model::  96%|█████████▌| 480/500 [00:26<00:00, 20.09it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 21.26it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 20.71it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 22.84it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 19.52it/s]
eval model::  99%|█████████▉| 495/500 [00:27<00:00, 20.35it/s]
eval model:: 100%|█████████▉| 499/500 [00:27<00:00, 23.50it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.34it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:06,  7.51it/s]
eval model::   1%|          | 4/500 [00:00<00:31, 15.99it/s]
eval model::   1%|          | 6/500 [00:00<00:31, 15.45it/s]
eval model::   2%|▏         | 8/500 [00:00<00:34, 14.17it/s]
eval model::   2%|▏         | 10/500 [00:00<00:32, 15.20it/s]
eval model::   2%|▏         | 12/500 [00:00<00:33, 14.60it/s]
eval model::   3%|▎         | 14/500 [00:00<00:32, 14.96it/s]
eval model::   3%|▎         | 17/500 [00:01<00:26, 18.04it/s]
eval model::   4%|▍         | 19/500 [00:01<00:26, 18.48it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 18.85it/s]
eval model::   5%|▍         | 24/500 [00:01<00:25, 18.61it/s]
eval model::   5%|▌         | 26/500 [00:01<00:26, 17.56it/s]
eval model::   6%|▌         | 29/500 [00:01<00:24, 19.60it/s]
eval model::   6%|▌         | 31/500 [00:01<00:25, 18.34it/s]
eval model::   7%|▋         | 34/500 [00:01<00:23, 19.44it/s]
eval model::   7%|▋         | 37/500 [00:02<00:22, 20.29it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 18.18it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.49it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.75it/s]
eval model::  10%|▉         | 48/500 [00:02<00:23, 18.87it/s]
eval model::  10%|█         | 51/500 [00:02<00:22, 20.25it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 20.93it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:20, 21.88it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.27it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:30, 14.22it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:26, 16.64it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:23, 18.39it/s]
eval model::  14%|█▍        | 72/500 [00:04<00:23, 18.39it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:22, 18.88it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.78it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.72it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.14it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 19.77it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:24, 17.06it/s]
eval model::  18%|█▊        | 92/500 [00:05<00:23, 17.25it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:22, 17.83it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:20, 19.23it/s]
eval model::  20%|██        | 100/500 [00:05<00:22, 17.88it/s]
eval model::  20%|██        | 102/500 [00:05<00:21, 18.12it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 19.91it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.05it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 21.58it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:16, 23.24it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:17, 21.58it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:17, 21.54it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:16, 22.73it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 17.92it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.61it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:22, 16.66it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:20, 17.98it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.45it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.91it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.60it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.30it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.23it/s]
eval model::  31%|███       | 153/500 [00:08<00:17, 19.80it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:15, 22.85it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:22, 15.39it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.58it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 18.75it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 20.25it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:17, 18.81it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:20, 15.81it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:18, 17.45it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:20, 15.54it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 17.70it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 19.88it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:15, 20.20it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:15, 19.43it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 20.51it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 21.28it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 21.28it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.42it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:20, 14.27it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:19, 14.61it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:19, 14.71it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.17it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 14.22it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 13.30it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:17, 16.30it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:19, 14.48it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.77it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 22.07it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 22.59it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:11, 22.00it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.63it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 17.75it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 19.15it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.55it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 19.49it/s]
eval model::  51%|█████     | 254/500 [00:13<00:12, 19.75it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.65it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 23.56it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:10, 22.66it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 21.16it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 19.99it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:12, 18.55it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.62it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 17.54it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 18.01it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:11, 19.06it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:19, 10.84it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:15, 13.27it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.40it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:14, 14.14it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:11, 17.03it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 16.13it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 17.79it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 19.75it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:08, 21.64it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:08, 20.93it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:09, 20.07it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 20.19it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:09, 18.99it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 20.13it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 19.16it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 20.19it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:07, 21.70it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 20.00it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:10, 14.87it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:09, 16.37it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 17.47it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 20.67it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.01it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.08it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.40it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.18it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 18.01it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 19.30it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:06, 19.69it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 20.80it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 22.77it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 21.18it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:04, 23.24it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:08, 13.64it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:07, 15.33it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 15.89it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 17.86it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 21.03it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 21.02it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 22.72it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:03, 23.20it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 23.93it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 22.42it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 20.07it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:06, 13.00it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 13.63it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 13.37it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.23it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 17.91it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 19.84it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:02, 23.23it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:02, 21.78it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 24.20it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 24.51it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 23.05it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:01, 23.59it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 25.07it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 24.34it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:01, 19.73it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:01, 18.82it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 19.33it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 20.98it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 20.05it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 21.01it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 20.43it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 20.72it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 20.66it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 20.80it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 18.86it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 18.69it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 20.57it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.85it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:52,  9.52it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 17.73it/s]
eval model::   1%|▏         | 7/500 [00:00<00:24, 19.93it/s]
eval model::   2%|▏         | 9/500 [00:00<00:26, 18.66it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 16.91it/s]
eval model::   3%|▎         | 13/500 [00:00<00:27, 17.51it/s]
eval model::   3%|▎         | 15/500 [00:00<00:26, 18.21it/s]
eval model::   4%|▎         | 18/500 [00:00<00:22, 21.29it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.24it/s]
eval model::   5%|▍         | 24/500 [00:01<00:22, 20.86it/s]
eval model::   5%|▌         | 27/500 [00:01<00:21, 21.51it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 21.51it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 21.04it/s]
eval model::   7%|▋         | 36/500 [00:01<00:22, 20.56it/s]
eval model::   8%|▊         | 39/500 [00:02<00:24, 18.45it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.81it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.68it/s]
eval model::  10%|▉         | 48/500 [00:02<00:23, 19.13it/s]
eval model::  10%|█         | 50/500 [00:02<00:23, 19.25it/s]
eval model::  11%|█         | 53/500 [00:02<00:20, 21.29it/s]
eval model::  11%|█         | 56/500 [00:02<00:19, 22.32it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:23, 18.73it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:30, 14.50it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:28, 15.15it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:22, 19.11it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:20, 20.99it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:19, 21.78it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:20, 20.70it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:19, 21.48it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:20, 20.68it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:22, 18.20it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:22, 18.09it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:24, 16.99it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.04it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:20, 20.10it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:18, 21.54it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.65it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 22.08it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:19, 20.59it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 20.20it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 22.00it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 20.87it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.91it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.96it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.69it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.33it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 17.99it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.46it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.92it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.31it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.37it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.58it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.33it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 20.03it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:14, 22.90it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:21, 15.94it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 16.89it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:18, 17.89it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:18, 17.84it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.34it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:22, 14.77it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:19, 16.85it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:21, 15.01it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:18, 16.70it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.24it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.44it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:15, 19.66it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.10it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 19.20it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 18.96it/s]
eval model::  41%|████      | 204/500 [00:10<00:14, 20.49it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:20, 14.22it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 14.48it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:19, 14.63it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 15.09it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.46it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.94it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.60it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 14.68it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 18.05it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:13, 19.86it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 20.69it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:13, 19.15it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 20.42it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:12, 20.13it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:14, 17.33it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:13, 18.74it/s]
eval model::  50%|█████     | 250/500 [00:13<00:13, 18.20it/s]
eval model::  51%|█████     | 253/500 [00:13<00:12, 20.09it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 20.94it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:10, 22.89it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:09, 24.11it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:10, 23.05it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:10, 22.53it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:10, 21.60it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:10, 22.05it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:11, 18.73it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:11, 19.89it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:10, 21.51it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:18, 11.65it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:14, 14.26it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.48it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:14, 14.01it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:11, 17.29it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 17.28it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 18.77it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 20.70it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:08, 21.35it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 20.42it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:09, 19.92it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 21.33it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:09, 18.99it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 19.45it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 19.39it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:09, 18.58it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:08, 19.28it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 19.74it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:11, 14.54it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.61it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 18.99it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 20.38it/s]
eval model::  70%|███████   | 352/500 [00:18<00:06, 21.83it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 22.82it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 22.51it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.98it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.99it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 18.40it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 19.63it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 18.81it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 21.67it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 20.09it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 21.96it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:09, 12.63it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:07, 14.80it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 15.92it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.13it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 20.97it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 21.27it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 21.70it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 21.06it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 22.10it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:04, 21.18it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 19.45it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:06, 13.28it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 15.54it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:05, 14.67it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 18.56it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 18.76it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:02, 22.61it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 24.18it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 22.23it/s]
eval model::  89%|████████▉ | 446/500 [00:23<00:02, 23.58it/s]
eval model::  90%|████████▉ | 449/500 [00:23<00:02, 21.72it/s]
eval model::  90%|█████████ | 452/500 [00:23<00:02, 22.36it/s]
eval model::  91%|█████████ | 455/500 [00:24<00:01, 22.71it/s]
eval model::  92%|█████████▏| 458/500 [00:24<00:01, 22.27it/s]
eval model::  92%|█████████▏| 461/500 [00:24<00:01, 20.98it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:01, 18.04it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:02, 16.65it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 17.16it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 19.54it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 18.61it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 20.99it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 21.79it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 22.31it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 19.74it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 21.52it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 17.78it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 17.54it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 19.64it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.98it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:59,  8.35it/s]
eval model::   1%|          | 4/500 [00:00<00:31, 15.63it/s]
eval model::   1%|          | 6/500 [00:00<00:30, 16.21it/s]
eval model::   2%|▏         | 8/500 [00:00<00:31, 15.60it/s]
eval model::   2%|▏         | 10/500 [00:00<00:31, 15.70it/s]
eval model::   2%|▏         | 12/500 [00:00<00:31, 15.53it/s]
eval model::   3%|▎         | 14/500 [00:00<00:29, 16.55it/s]
eval model::   4%|▎         | 18/500 [00:01<00:23, 20.66it/s]
eval model::   4%|▍         | 21/500 [00:01<00:26, 17.87it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.48it/s]
eval model::   5%|▌         | 27/500 [00:01<00:24, 19.60it/s]
eval model::   6%|▌         | 30/500 [00:01<00:23, 20.39it/s]
eval model::   7%|▋         | 33/500 [00:01<00:25, 18.39it/s]
eval model::   7%|▋         | 35/500 [00:01<00:27, 16.92it/s]
eval model::   8%|▊         | 38/500 [00:02<00:25, 18.34it/s]
eval model::   8%|▊         | 40/500 [00:02<00:26, 17.65it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.80it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.77it/s]
eval model::  10%|▉         | 48/500 [00:02<00:21, 21.03it/s]
eval model::  10%|█         | 51/500 [00:02<00:20, 21.55it/s]
eval model::  11%|█         | 54/500 [00:02<00:19, 23.42it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:21, 20.19it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:24, 17.85it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:29, 14.63it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:30, 14.18it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:26, 16.61it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:23, 18.45it/s]
eval model::  15%|█▍        | 73/500 [00:04<00:22, 19.32it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:23, 18.05it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:23, 18.29it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:20, 20.25it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.13it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.41it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.74it/s]
eval model::  18%|█▊        | 92/500 [00:05<00:23, 17.07it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:23, 17.19it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:24, 16.58it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:22, 17.87it/s]
eval model::  20%|██        | 101/500 [00:05<00:24, 16.31it/s]
eval model::  21%|██        | 104/500 [00:05<00:22, 17.71it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:20, 18.95it/s]
eval model::  22%|██▏       | 110/500 [00:06<00:18, 21.20it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:15, 24.20it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:15, 24.06it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:16, 22.58it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.31it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.53it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:21, 17.69it/s]
eval model::  26%|██▌       | 130/500 [00:07<00:24, 15.23it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:24, 14.80it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:20, 17.61it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:20, 18.10it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:18, 19.10it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.70it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:16, 21.64it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:16, 21.64it/s]
eval model::  30%|███       | 152/500 [00:08<00:18, 18.63it/s]
eval model::  31%|███       | 155/500 [00:08<00:16, 20.78it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:14, 22.79it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:21, 15.63it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:20, 16.14it/s]
eval model::  33%|███▎      | 167/500 [00:09<00:18, 18.02it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:16, 19.55it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:16, 20.20it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.08it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.80it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 16.65it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:17, 18.19it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:17, 18.29it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:15, 19.56it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 21.32it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:15, 20.17it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 21.17it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 22.71it/s]
eval model::  41%|████      | 206/500 [00:11<00:21, 13.77it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:21, 13.85it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:20, 14.04it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.57it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.39it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:20, 13.54it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:17, 15.57it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.82it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.43it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.91it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:11, 23.40it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:11, 22.65it/s]
eval model::  48%|████▊     | 240/500 [00:13<00:11, 23.09it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:13, 19.23it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 19.65it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:13, 18.64it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 19.59it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 20.66it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:12, 19.99it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:11, 20.04it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:12, 18.57it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:13, 17.88it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 18.04it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 20.01it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 18.16it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:11, 19.45it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 21.39it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 23.27it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:18, 11.33it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:15, 13.70it/s]
eval model::  59%|█████▊    | 293/500 [00:16<00:13, 14.93it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 12.89it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:13, 14.53it/s]
eval model::  60%|██████    | 301/500 [00:16<00:14, 13.77it/s]
eval model::  61%|██████    | 303/500 [00:16<00:13, 14.85it/s]
eval model::  61%|██████    | 305/500 [00:16<00:13, 14.87it/s]
eval model::  62%|██████▏   | 308/500 [00:17<00:10, 17.56it/s]
eval model::  62%|██████▏   | 311/500 [00:17<00:09, 19.14it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:09, 18.87it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:10, 17.88it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:09, 18.31it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:09, 18.17it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:10, 17.51it/s]
eval model::  65%|██████▌   | 326/500 [00:18<00:08, 19.59it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:09, 18.39it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 19.73it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:08, 20.21it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:09, 17.87it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:11, 14.04it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:09, 16.33it/s]
eval model::  69%|██████▉   | 345/500 [00:19<00:09, 16.98it/s]
eval model::  69%|██████▉   | 347/500 [00:19<00:09, 16.99it/s]
eval model::  70%|███████   | 351/500 [00:19<00:07, 20.94it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 20.34it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 18.67it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:07, 18.57it/s]
eval model::  72%|███████▏  | 362/500 [00:20<00:08, 16.29it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:08, 15.23it/s]
eval model::  73%|███████▎  | 367/500 [00:20<00:08, 16.44it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:07, 17.09it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:07, 17.60it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:07, 18.00it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 21.00it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.77it/s]
eval model::  77%|███████▋  | 383/500 [00:21<00:05, 22.23it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:07, 14.42it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:06, 16.58it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.27it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 17.59it/s]
eval model::  80%|███████▉  | 398/500 [00:22<00:05, 18.81it/s]
eval model::  80%|████████  | 401/500 [00:22<00:05, 17.53it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 18.73it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 19.48it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:03, 23.13it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 24.14it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:03, 21.52it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:05, 15.21it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:04, 15.70it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.85it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 15.54it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:04, 16.31it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:04, 16.83it/s]
eval model::  86%|████████▋ | 432/500 [00:24<00:04, 16.78it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 18.68it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:03, 20.66it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:03, 19.65it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 20.31it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 20.05it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 20.49it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.99it/s]
eval model::  91%|█████████ | 456/500 [00:25<00:02, 21.05it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:02, 19.99it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:02, 15.91it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:02, 16.16it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 15.53it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 16.37it/s]
eval model::  94%|█████████▍| 471/500 [00:26<00:01, 18.29it/s]
eval model::  95%|█████████▍| 473/500 [00:26<00:01, 18.55it/s]
eval model::  95%|█████████▌| 475/500 [00:26<00:01, 18.70it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:01, 21.04it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 21.32it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 22.24it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 22.35it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 23.74it/s]
eval model::  99%|█████████▊| 493/500 [00:27<00:00, 21.25it/s]
eval model::  99%|█████████▉| 496/500 [00:27<00:00, 21.03it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 25.16it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.30it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:58,  8.52it/s]
eval model::   1%|          | 3/500 [00:00<00:33, 14.62it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.17it/s]
eval model::   2%|▏         | 8/500 [00:00<00:29, 16.71it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.86it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.82it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.49it/s]
eval model::   4%|▍         | 20/500 [00:01<00:22, 21.12it/s]
eval model::   5%|▍         | 24/500 [00:01<00:20, 23.36it/s]
eval model::   5%|▌         | 27/500 [00:01<00:21, 22.06it/s]
eval model::   6%|▌         | 30/500 [00:01<00:20, 22.60it/s]
eval model::   7%|▋         | 33/500 [00:01<00:20, 22.31it/s]
eval model::   7%|▋         | 36/500 [00:01<00:22, 20.29it/s]
eval model::   8%|▊         | 39/500 [00:01<00:24, 18.95it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.35it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 18.96it/s]
eval model::   9%|▉         | 47/500 [00:02<00:25, 17.97it/s]
eval model::  10%|█         | 50/500 [00:02<00:24, 18.69it/s]
eval model::  11%|█         | 53/500 [00:02<00:22, 19.66it/s]
eval model::  11%|█         | 56/500 [00:02<00:22, 20.12it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:24, 18.08it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:29, 14.80it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:31, 13.72it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:26, 16.22it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:24, 17.42it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:23, 18.32it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 19.74it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:21, 19.80it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:20, 20.93it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 20.83it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.08it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:21, 19.10it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.50it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.41it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:19, 20.27it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:18, 21.38it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.22it/s]
eval model::  21%|██        | 106/500 [00:05<00:16, 23.26it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:16, 24.15it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:16, 23.21it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:16, 22.73it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:16, 22.93it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:15, 23.92it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:18, 20.37it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:17, 21.21it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:17, 20.99it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:17, 21.31it/s]
eval model::  27%|██▋       | 137/500 [00:06<00:17, 21.03it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:17, 21.04it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.20it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:18, 19.53it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:19, 18.05it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 17.51it/s]
eval model::  31%|███       | 155/500 [00:07<00:16, 21.04it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 21.29it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:19, 17.58it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:18, 18.28it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 18.64it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.81it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:18, 18.16it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:20, 15.48it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:18, 17.45it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:19, 16.02it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:17, 18.47it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.03it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.29it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 20.47it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 21.15it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.65it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.78it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.73it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:20, 14.62it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:19, 14.77it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:19, 14.48it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.24it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 14.11it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 13.29it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 15.94it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:19, 14.19it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:15, 17.84it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.64it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 22.56it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:11, 22.05it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 23.51it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:12, 20.34it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 21.68it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:11, 22.33it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 21.37it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 22.26it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:10, 23.10it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 21.90it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:12, 19.71it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:11, 19.97it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:12, 18.55it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 19.56it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 18.94it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.33it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 21.08it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 22.08it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:17, 12.24it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:13, 15.28it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:13, 15.12it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:14, 13.85it/s]
eval model::  60%|██████    | 300/500 [00:15<00:12, 16.30it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 17.90it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 18.01it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 19.73it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.35it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 20.65it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 21.22it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:07, 22.63it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 21.69it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:07, 22.78it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:07, 22.90it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 23.12it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 23.46it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:07, 21.52it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:09, 16.05it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:08, 18.28it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:07, 19.18it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 20.85it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 22.29it/s]
eval model::  71%|███████   | 356/500 [00:18<00:07, 18.86it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:07, 19.82it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:07, 18.81it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.60it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.55it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.00it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:07, 17.93it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 19.53it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:05, 21.47it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 19.90it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 21.91it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:08, 12.68it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:07, 15.14it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:06, 17.39it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 18.23it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:05, 19.70it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 19.19it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.15it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 21.86it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 23.10it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 22.89it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 19.95it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 14.13it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 16.28it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:04, 15.56it/s]
eval model::  86%|████████▌ | 428/500 [00:22<00:04, 17.47it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 17.97it/s]
eval model::  87%|████████▋ | 434/500 [00:22<00:03, 20.12it/s]
eval model::  87%|████████▋ | 437/500 [00:22<00:02, 22.39it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:02, 21.32it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 24.21it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 24.84it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 21.46it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 22.79it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 21.78it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:01, 21.11it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:01, 20.20it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:01, 18.03it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 19.21it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 18.81it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 18.68it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 21.52it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 21.08it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 20.43it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 18.94it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 19.54it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 17.49it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 18.65it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 20.86it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.25it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:54,  9.17it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.27it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 17.72it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.66it/s]
eval model::   2%|▏         | 11/500 [00:00<00:24, 19.75it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.65it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.36it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.37it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.62it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 19.19it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 19.87it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 19.96it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 19.15it/s]
eval model::   8%|▊         | 38/500 [00:01<00:23, 19.64it/s]
eval model::   8%|▊         | 41/500 [00:02<00:24, 18.66it/s]
eval model::   9%|▊         | 43/500 [00:02<00:26, 17.06it/s]
eval model::   9%|▉         | 46/500 [00:02<00:25, 17.94it/s]
eval model::  10%|▉         | 49/500 [00:02<00:22, 19.69it/s]
eval model::  10%|█         | 52/500 [00:02<00:22, 20.10it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.99it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:21, 20.84it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:24, 17.69it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.34it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.14it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 20.68it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:19, 22.36it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:20, 21.10it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:18, 22.95it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:17, 23.69it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.60it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 20.11it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:20, 20.33it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:19, 20.78it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:19, 21.20it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:18, 21.38it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.59it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.71it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 20.69it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 20.35it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 21.26it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 20.76it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.01it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.54it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.37it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.51it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 18.36it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:20, 17.79it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:18, 19.19it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.11it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 19.98it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.70it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.43it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 20.72it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.76it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 21.05it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 21.24it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:21, 16.08it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:19, 17.53it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 18.86it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 19.35it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:17, 18.68it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:17, 18.69it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:15, 20.56it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:17, 18.19it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:14, 21.09it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 22.14it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 21.17it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:14, 21.55it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:13, 21.91it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 21.84it/s]
eval model::  41%|████      | 204/500 [00:10<00:12, 23.42it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 15.29it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:18, 15.85it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:18, 15.85it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:18, 15.91it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.50it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.60it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:18, 15.05it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:16, 17.01it/s]
eval model::  45%|████▌     | 227/500 [00:11<00:14, 18.75it/s]
eval model::  46%|████▌     | 231/500 [00:11<00:12, 22.03it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:11, 22.46it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:11, 23.75it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 23.27it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:14, 17.46it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:13, 18.60it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:13, 19.26it/s]
eval model::  50%|█████     | 252/500 [00:12<00:11, 21.05it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 21.87it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 22.57it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 21.98it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 20.05it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 20.39it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:12, 19.14it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:11, 19.90it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:12, 17.64it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 18.95it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.71it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:17, 12.13it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:14, 14.24it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:11, 17.62it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:13, 15.42it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 19.04it/s]
eval model::  60%|██████    | 302/500 [00:15<00:10, 18.06it/s]
eval model::  61%|██████    | 305/500 [00:15<00:10, 18.60it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:08, 21.57it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:08, 22.77it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:08, 21.88it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:07, 23.22it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:07, 22.98it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:08, 20.68it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:08, 21.10it/s]
eval model::  66%|██████▌   | 330/500 [00:16<00:08, 21.13it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 21.43it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 22.52it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 20.78it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:09, 16.05it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:08, 18.51it/s]
eval model::  70%|██████▉   | 348/500 [00:17<00:07, 19.88it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 21.12it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 23.07it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:06, 22.06it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:05, 23.37it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:06, 20.20it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 17.77it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 19.76it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 20.39it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 23.49it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 24.10it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 21.69it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:04, 23.16it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:08, 13.29it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:07, 15.12it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 16.48it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 19.00it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 19.40it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 21.32it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 22.72it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:03, 23.46it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:03, 24.24it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 22.95it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 20.33it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:05, 15.42it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 16.19it/s]
eval model::  85%|████████▌ | 426/500 [00:21<00:04, 16.37it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 18.38it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 17.61it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:02, 21.87it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 24.01it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 23.86it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 24.36it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 21.06it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 21.00it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 21.89it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 21.65it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:02, 19.79it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:02, 18.00it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:02, 16.79it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 18.51it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 21.35it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 21.95it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 21.81it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 21.04it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 21.17it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 20.90it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 20.13it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 17.29it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 17.73it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 19.47it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.62it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:55,  9.00it/s]
eval model::   1%|          | 3/500 [00:00<00:33, 14.90it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 18.23it/s]
eval model::   2%|▏         | 8/500 [00:00<00:30, 15.92it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.84it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.83it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.16it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.80it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.41it/s]
eval model::   5%|▌         | 26/500 [00:01<00:25, 18.54it/s]
eval model::   6%|▌         | 29/500 [00:01<00:24, 19.43it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 18.75it/s]
eval model::   7%|▋         | 34/500 [00:01<00:24, 18.83it/s]
eval model::   7%|▋         | 36/500 [00:01<00:25, 18.14it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 17.74it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.92it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.13it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 17.37it/s]
eval model::  10%|▉         | 49/500 [00:02<00:25, 17.88it/s]
eval model::  10%|█         | 51/500 [00:02<00:24, 18.38it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 20.83it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:20, 22.03it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.91it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.65it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 19.01it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:19, 21.83it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:20, 20.74it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:19, 21.73it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:18, 22.58it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 21.59it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:20, 20.17it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 17.91it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:23, 17.27it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:23, 17.21it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:22, 18.34it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.64it/s]
eval model::  20%|██        | 101/500 [00:05<00:21, 18.93it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 20.77it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 20.86it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:17, 21.79it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:19, 20.36it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:20, 19.14it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:19, 19.65it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.04it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.49it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.13it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.58it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 18.23it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:20, 17.89it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:18, 19.98it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.87it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.04it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.38it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:21, 16.67it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 18.56it/s]
eval model::  30%|███       | 152/500 [00:08<00:20, 16.93it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 19.25it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 20.69it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:19, 17.00it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 18.55it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 19.57it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 21.34it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:15, 20.48it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:17, 18.44it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:15, 20.23it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:17, 17.87it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 19.68it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.38it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:15, 19.35it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.23it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.39it/s]
eval model::  40%|████      | 200/500 [00:10<00:15, 19.34it/s]
eval model::  40%|████      | 202/500 [00:10<00:15, 18.71it/s]
eval model::  41%|████      | 205/500 [00:10<00:22, 12.92it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:20, 14.14it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:20, 14.35it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.63it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.58it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.52it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.58it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:19, 14.49it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.71it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 20.95it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 20.95it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 21.16it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.81it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 19.67it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:11, 21.57it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.82it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 21.61it/s]
eval model::  51%|█████     | 254/500 [00:13<00:10, 22.88it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:10, 23.75it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:09, 25.26it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:10, 22.62it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:11, 20.16it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 18.22it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.63it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:13, 17.22it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 17.70it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:11, 18.67it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:11, 19.32it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:19, 11.20it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:15, 13.74it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.82it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:15, 13.02it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 16.38it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 17.13it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 18.49it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 20.44it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:08, 21.51it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 20.47it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 21.00it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 22.34it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 20.14it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 21.17it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 20.51it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.33it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 22.48it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:07, 20.37it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:10, 15.04it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:09, 17.04it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 18.55it/s]
eval model::  70%|███████   | 351/500 [00:18<00:06, 21.40it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 23.00it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:07, 20.36it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:07, 19.14it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 18.50it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:07, 18.12it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.28it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 19.17it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 18.77it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.01it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 23.30it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:06, 18.49it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 19.38it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:08, 12.67it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 15.69it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 16.37it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 18.11it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.36it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 18.49it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 19.11it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 20.46it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 21.67it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:04, 21.40it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 20.58it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 14.44it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 16.90it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 17.04it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 19.35it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 17.19it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 18.76it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 21.07it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 19.84it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 20.56it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 19.84it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 18.44it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 19.66it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:02, 18.45it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:02, 18.95it/s]
eval model::  92%|█████████▏| 461/500 [00:24<00:02, 17.90it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 15.56it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 14.53it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:02, 15.20it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 17.90it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 17.89it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 18.31it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 21.09it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 23.16it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 21.64it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 20.84it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 21.08it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 17.55it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 18.56it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 20.79it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.77it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:39, 12.59it/s]
eval model::   1%|          | 5/500 [00:00<00:27, 17.79it/s]
eval model::   1%|▏         | 7/500 [00:00<00:27, 18.12it/s]
eval model::   2%|▏         | 9/500 [00:00<00:29, 16.89it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 16.88it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.56it/s]
eval model::   3%|▎         | 16/500 [00:00<00:26, 18.04it/s]
eval model::   4%|▍         | 19/500 [00:01<00:25, 18.77it/s]
eval model::   4%|▍         | 21/500 [00:01<00:26, 18.12it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.26it/s]
eval model::   5%|▌         | 27/500 [00:01<00:24, 18.92it/s]
eval model::   6%|▌         | 29/500 [00:01<00:25, 18.74it/s]
eval model::   6%|▌         | 31/500 [00:01<00:27, 16.82it/s]
eval model::   7%|▋         | 34/500 [00:01<00:27, 17.25it/s]
eval model::   7%|▋         | 37/500 [00:02<00:24, 18.83it/s]
eval model::   8%|▊         | 39/500 [00:02<00:29, 15.67it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.36it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.95it/s]
eval model::  10%|▉         | 48/500 [00:02<00:26, 17.12it/s]
eval model::  10%|█         | 50/500 [00:02<00:26, 17.20it/s]
eval model::  10%|█         | 52/500 [00:02<00:25, 17.54it/s]
eval model::  11%|█         | 55/500 [00:03<00:22, 19.47it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:24, 18.38it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.45it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.26it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 16.96it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:23, 18.23it/s]
eval model::  14%|█▍        | 71/500 [00:04<00:23, 17.89it/s]
eval model::  15%|█▍        | 73/500 [00:04<00:24, 17.16it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:24, 17.18it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:26, 15.89it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:21, 19.10it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 21.30it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:19, 21.12it/s]
eval model::  18%|█▊        | 89/500 [00:05<00:24, 16.48it/s]
eval model::  18%|█▊        | 91/500 [00:05<00:26, 15.59it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:26, 15.28it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:23, 16.97it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:21, 18.89it/s]
eval model::  20%|██        | 101/500 [00:05<00:21, 18.66it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 21.05it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:17, 22.27it/s]
eval model::  22%|██▏       | 110/500 [00:06<00:18, 21.60it/s]
eval model::  23%|██▎       | 113/500 [00:06<00:18, 21.23it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:19, 19.61it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:18, 20.85it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:16, 22.54it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:20, 18.57it/s]
eval model::  26%|██▌       | 128/500 [00:07<00:18, 19.92it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:19, 19.36it/s]
eval model::  27%|██▋       | 134/500 [00:07<00:19, 18.94it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:18, 19.73it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:18, 19.63it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.56it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:18, 19.01it/s]
eval model::  30%|██▉       | 148/500 [00:08<00:20, 17.36it/s]
eval model::  30%|███       | 151/500 [00:08<00:20, 17.21it/s]
eval model::  31%|███       | 155/500 [00:08<00:16, 20.53it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:15, 21.71it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:22, 14.74it/s]
eval model::  33%|███▎      | 164/500 [00:09<00:22, 14.86it/s]
eval model::  33%|███▎      | 166/500 [00:09<00:21, 15.45it/s]
eval model::  34%|███▎      | 168/500 [00:09<00:21, 15.74it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:20, 16.11it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:22, 14.45it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:21, 14.73it/s]
eval model::  36%|███▌      | 179/500 [00:10<00:20, 15.78it/s]
eval model::  36%|███▌      | 181/500 [00:10<00:23, 13.56it/s]
eval model::  37%|███▋      | 183/500 [00:10<00:22, 13.99it/s]
eval model::  37%|███▋      | 185/500 [00:10<00:22, 14.30it/s]
eval model::  37%|███▋      | 187/500 [00:10<00:22, 13.77it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:20, 15.08it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:17, 17.31it/s]
eval model::  39%|███▉      | 195/500 [00:11<00:17, 17.81it/s]
eval model::  40%|███▉      | 198/500 [00:11<00:15, 19.48it/s]
eval model::  40%|████      | 201/500 [00:11<00:14, 20.71it/s]
eval model::  41%|████      | 204/500 [00:11<00:13, 22.64it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:22, 13.00it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:21, 13.72it/s]
eval model::  42%|████▏     | 211/500 [00:12<00:20, 13.99it/s]
eval model::  43%|████▎     | 213/500 [00:12<00:20, 13.78it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:23, 12.08it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:26, 10.83it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:24, 11.29it/s]
eval model::  44%|████▍     | 221/500 [00:13<00:27, 10.05it/s]
eval model::  45%|████▍     | 224/500 [00:13<00:21, 12.87it/s]
eval model::  45%|████▌     | 226/500 [00:13<00:19, 14.21it/s]
eval model::  46%|████▌     | 229/500 [00:13<00:16, 16.43it/s]
eval model::  46%|████▋     | 232/500 [00:13<00:14, 18.37it/s]
eval model::  47%|████▋     | 234/500 [00:13<00:15, 17.15it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:15, 16.94it/s]
eval model::  48%|████▊     | 239/500 [00:14<00:14, 18.20it/s]
eval model::  48%|████▊     | 241/500 [00:14<00:14, 18.34it/s]
eval model::  49%|████▊     | 243/500 [00:14<00:17, 15.05it/s]
eval model::  49%|████▉     | 246/500 [00:14<00:14, 17.68it/s]
eval model::  50%|████▉     | 249/500 [00:14<00:13, 18.94it/s]
eval model::  51%|█████     | 253/500 [00:14<00:10, 23.26it/s]
eval model::  51%|█████     | 256/500 [00:14<00:10, 22.68it/s]
eval model::  52%|█████▏    | 259/500 [00:14<00:10, 22.65it/s]
eval model::  52%|█████▏    | 262/500 [00:15<00:11, 20.47it/s]
eval model::  53%|█████▎    | 265/500 [00:15<00:12, 18.88it/s]
eval model::  54%|█████▎    | 268/500 [00:15<00:11, 20.92it/s]
eval model::  54%|█████▍    | 271/500 [00:15<00:10, 20.88it/s]
eval model::  55%|█████▍    | 274/500 [00:15<00:10, 22.60it/s]
eval model::  55%|█████▌    | 277/500 [00:15<00:10, 21.36it/s]
eval model::  56%|█████▌    | 280/500 [00:15<00:09, 22.26it/s]
eval model::  57%|█████▋    | 283/500 [00:16<00:09, 23.29it/s]
eval model::  57%|█████▋    | 286/500 [00:16<00:20, 10.29it/s]
eval model::  58%|█████▊    | 289/500 [00:16<00:16, 12.43it/s]
eval model::  58%|█████▊    | 292/500 [00:17<00:14, 14.22it/s]
eval model::  59%|█████▉    | 295/500 [00:17<00:16, 12.19it/s]
eval model::  60%|█████▉    | 298/500 [00:17<00:14, 14.40it/s]
eval model::  60%|██████    | 300/500 [00:17<00:13, 14.30it/s]
eval model::  60%|██████    | 302/500 [00:17<00:12, 15.31it/s]
eval model::  61%|██████    | 305/500 [00:17<00:11, 16.80it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:11, 17.44it/s]
eval model::  62%|██████▏   | 309/500 [00:18<00:10, 18.01it/s]
eval model::  62%|██████▏   | 311/500 [00:18<00:10, 17.81it/s]
eval model::  63%|██████▎   | 313/500 [00:18<00:10, 18.16it/s]
eval model::  63%|██████▎   | 315/500 [00:18<00:10, 18.01it/s]
eval model::  64%|██████▎   | 318/500 [00:18<00:08, 21.19it/s]
eval model::  64%|██████▍   | 321/500 [00:18<00:07, 22.44it/s]
eval model::  65%|██████▍   | 324/500 [00:18<00:07, 22.54it/s]
eval model::  65%|██████▌   | 327/500 [00:18<00:08, 21.21it/s]
eval model::  66%|██████▌   | 330/500 [00:19<00:08, 19.03it/s]
eval model::  66%|██████▋   | 332/500 [00:19<00:08, 19.15it/s]
eval model::  67%|██████▋   | 335/500 [00:19<00:07, 21.26it/s]
eval model::  68%|██████▊   | 338/500 [00:19<00:07, 20.86it/s]
eval model::  68%|██████▊   | 341/500 [00:19<00:09, 16.03it/s]
eval model::  69%|██████▉   | 344/500 [00:19<00:08, 18.66it/s]
eval model::  69%|██████▉   | 347/500 [00:19<00:07, 19.38it/s]
eval model::  70%|███████   | 351/500 [00:20<00:06, 22.32it/s]
eval model::  71%|███████   | 354/500 [00:20<00:06, 23.62it/s]
eval model::  71%|███████▏  | 357/500 [00:20<00:07, 20.06it/s]
eval model::  72%|███████▏  | 360/500 [00:20<00:07, 19.91it/s]
eval model::  73%|███████▎  | 363/500 [00:20<00:07, 19.23it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:07, 17.39it/s]
eval model::  74%|███████▍  | 369/500 [00:21<00:06, 19.71it/s]
eval model::  74%|███████▍  | 372/500 [00:21<00:06, 20.32it/s]
eval model::  75%|███████▌  | 376/500 [00:21<00:05, 24.09it/s]
eval model::  76%|███████▌  | 379/500 [00:21<00:05, 23.50it/s]
eval model::  76%|███████▋  | 382/500 [00:21<00:05, 20.74it/s]
eval model::  77%|███████▋  | 385/500 [00:21<00:05, 21.89it/s]
eval model::  78%|███████▊  | 388/500 [00:22<00:07, 14.75it/s]
eval model::  78%|███████▊  | 391/500 [00:22<00:06, 16.10it/s]
eval model::  79%|███████▊  | 393/500 [00:22<00:06, 16.17it/s]
eval model::  79%|███████▉  | 396/500 [00:22<00:05, 17.63it/s]
eval model::  80%|███████▉  | 399/500 [00:22<00:05, 19.53it/s]
eval model::  80%|████████  | 402/500 [00:22<00:05, 19.01it/s]
eval model::  81%|████████  | 405/500 [00:22<00:04, 21.25it/s]
eval model::  82%|████████▏ | 409/500 [00:23<00:03, 23.99it/s]
eval model::  82%|████████▏ | 412/500 [00:23<00:03, 24.80it/s]
eval model::  83%|████████▎ | 415/500 [00:23<00:03, 23.93it/s]
eval model::  84%|████████▎ | 418/500 [00:23<00:03, 22.21it/s]
eval model::  84%|████████▍ | 421/500 [00:23<00:05, 14.46it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:04, 15.83it/s]
eval model::  85%|████████▌ | 426/500 [00:24<00:04, 16.48it/s]
eval model::  86%|████████▌ | 430/500 [00:24<00:03, 19.17it/s]
eval model::  87%|████████▋ | 433/500 [00:24<00:03, 19.12it/s]
eval model::  87%|████████▋ | 436/500 [00:24<00:03, 19.84it/s]
eval model::  88%|████████▊ | 439/500 [00:24<00:02, 21.40it/s]
eval model::  88%|████████▊ | 442/500 [00:24<00:02, 20.52it/s]
eval model::  89%|████████▉ | 445/500 [00:24<00:02, 21.96it/s]
eval model::  90%|████████▉ | 448/500 [00:25<00:02, 23.54it/s]
eval model::  90%|█████████ | 451/500 [00:25<00:02, 23.50it/s]
eval model::  91%|█████████ | 454/500 [00:25<00:01, 23.02it/s]
eval model::  91%|█████████▏| 457/500 [00:25<00:01, 24.02it/s]
eval model::  92%|█████████▏| 460/500 [00:25<00:01, 25.44it/s]
eval model::  93%|█████████▎| 463/500 [00:25<00:01, 23.11it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:01, 21.92it/s]
eval model::  94%|█████████▍| 469/500 [00:25<00:01, 22.44it/s]
eval model::  94%|█████████▍| 472/500 [00:26<00:01, 21.06it/s]
eval model::  95%|█████████▌| 475/500 [00:26<00:01, 20.47it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:01, 21.31it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 21.90it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 22.04it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 20.66it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 21.62it/s]
eval model::  99%|█████████▊| 493/500 [00:27<00:00, 20.30it/s]
eval model::  99%|█████████▉| 496/500 [00:27<00:00, 20.43it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 24.43it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.28it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.32it/s]
eval model::   1%|          | 4/500 [00:00<00:28, 17.58it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 17.93it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.76it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 19.28it/s]
eval model::   3%|▎         | 13/500 [00:00<00:25, 19.31it/s]
eval model::   3%|▎         | 16/500 [00:00<00:22, 21.05it/s]
eval model::   4%|▍         | 19/500 [00:01<00:26, 18.15it/s]
eval model::   4%|▍         | 21/500 [00:01<00:26, 17.96it/s]
eval model::   5%|▍         | 24/500 [00:01<00:24, 19.08it/s]
eval model::   5%|▌         | 26/500 [00:01<00:26, 17.93it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 20.09it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 20.79it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 19.25it/s]
eval model::   8%|▊         | 38/500 [00:02<00:23, 19.33it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.45it/s]
eval model::   8%|▊         | 42/500 [00:02<00:30, 15.22it/s]
eval model::   9%|▉         | 45/500 [00:02<00:26, 16.96it/s]
eval model::   9%|▉         | 47/500 [00:02<00:27, 16.51it/s]
eval model::  10%|█         | 50/500 [00:02<00:26, 16.88it/s]
eval model::  11%|█         | 53/500 [00:02<00:25, 17.51it/s]
eval model::  11%|█         | 55/500 [00:03<00:24, 18.02it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:24, 17.97it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:26, 16.42it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:30, 14.57it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.84it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 19.65it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 21.59it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:18, 23.35it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:17, 24.70it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:18, 23.22it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:16, 25.81it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:17, 24.27it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:19, 21.12it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:19, 20.84it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:21, 19.07it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:19, 20.64it/s]
eval model::  20%|██        | 101/500 [00:05<00:20, 19.39it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 21.44it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:19, 20.47it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:20, 18.80it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:19, 19.46it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:21, 17.97it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:20, 18.24it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:20, 18.46it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:19, 19.18it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:22, 16.76it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:19, 18.65it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:21, 17.18it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.03it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 18.54it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 18.18it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.31it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:20, 17.58it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:19, 18.73it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:19, 18.13it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:22, 15.59it/s]
eval model::  30%|███       | 150/500 [00:08<00:21, 16.38it/s]
eval model::  30%|███       | 152/500 [00:08<00:21, 16.11it/s]
eval model::  31%|███       | 155/500 [00:08<00:19, 17.66it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:17, 19.52it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:25, 13.34it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:22, 14.76it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:21, 15.78it/s]
eval model::  34%|███▎      | 168/500 [00:09<00:19, 17.24it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:18, 17.95it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:20, 16.09it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:20, 15.82it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.22it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:20, 15.73it/s]
eval model::  37%|███▋      | 184/500 [00:10<00:17, 17.86it/s]
eval model::  37%|███▋      | 187/500 [00:10<00:17, 18.35it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:16, 18.70it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:16, 18.94it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 20.35it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 21.04it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.58it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.17it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:20, 14.18it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 14.46it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 14.40it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 15.05it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.19it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:23, 11.82it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:22, 12.76it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:22, 12.45it/s]
eval model::  45%|████▍     | 223/500 [00:12<00:20, 13.75it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:17, 15.69it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 18.85it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.89it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:12, 21.07it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:12, 21.61it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:15, 16.47it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:15, 16.93it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:14, 17.54it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:15, 16.72it/s]
eval model::  50%|█████     | 252/500 [00:14<00:13, 18.93it/s]
eval model::  51%|█████     | 256/500 [00:14<00:11, 21.74it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:09, 24.37it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:11, 21.23it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:11, 20.16it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:11, 20.52it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:10, 21.62it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:11, 18.77it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:11, 20.17it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 21.57it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 22.06it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 13.15it/s]
eval model::  58%|█████▊    | 290/500 [00:16<00:13, 15.74it/s]
eval model::  59%|█████▊    | 293/500 [00:16<00:12, 16.42it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 13.13it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:13, 15.42it/s]
eval model::  60%|██████    | 301/500 [00:16<00:14, 14.05it/s]
eval model::  61%|██████    | 304/500 [00:17<00:12, 15.31it/s]
eval model::  61%|██████    | 306/500 [00:17<00:12, 16.07it/s]
eval model::  62%|██████▏   | 309/500 [00:17<00:10, 18.33it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:10, 18.27it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:09, 19.13it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:08, 20.96it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:08, 20.75it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:08, 20.21it/s]
eval model::  65%|██████▌   | 327/500 [00:18<00:07, 21.71it/s]
eval model::  66%|██████▌   | 330/500 [00:18<00:08, 19.28it/s]
eval model::  67%|██████▋   | 333/500 [00:18<00:07, 21.10it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:07, 23.02it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:07, 21.59it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:09, 15.96it/s]
eval model::  69%|██████▉   | 345/500 [00:19<00:08, 17.98it/s]
eval model::  70%|██████▉   | 348/500 [00:19<00:08, 18.56it/s]
eval model::  70%|███████   | 351/500 [00:19<00:07, 20.07it/s]
eval model::  71%|███████   | 354/500 [00:19<00:06, 21.93it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:06, 20.56it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:06, 20.05it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 17.71it/s]
eval model::  73%|███████▎  | 365/500 [00:20<00:07, 17.62it/s]
eval model::  73%|███████▎  | 367/500 [00:20<00:08, 16.06it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:07, 18.14it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 17.74it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 19.19it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:05, 22.34it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 20.58it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:08, 13.26it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:07, 15.28it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.48it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.39it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 20.56it/s]
eval model::  80%|████████  | 402/500 [00:22<00:04, 19.73it/s]
eval model::  81%|████████  | 405/500 [00:22<00:04, 20.42it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 19.89it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 20.16it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:04, 19.99it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 18.16it/s]
eval model::  84%|████████▍ | 419/500 [00:23<00:04, 17.50it/s]
eval model::  84%|████████▍ | 421/500 [00:23<00:05, 13.31it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 15.09it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.68it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 18.04it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 17.79it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 19.26it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 21.28it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:02, 20.18it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 19.14it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 20.02it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 17.80it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 19.22it/s]
eval model::  91%|█████████ | 456/500 [00:25<00:02, 20.50it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 21.72it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:01, 19.52it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:01, 18.65it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 19.98it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 21.53it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 20.44it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:00, 22.89it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 22.85it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 23.59it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 21.06it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 22.30it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 20.67it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 20.04it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 23.77it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.47it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:50,  9.85it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 18.80it/s]
eval model::   1%|▏         | 7/500 [00:00<00:24, 19.76it/s]
eval model::   2%|▏         | 10/500 [00:00<00:23, 20.95it/s]
eval model::   3%|▎         | 13/500 [00:00<00:23, 20.50it/s]
eval model::   3%|▎         | 16/500 [00:00<00:23, 20.35it/s]
eval model::   4%|▍         | 19/500 [00:01<00:27, 17.80it/s]
eval model::   4%|▍         | 22/500 [00:01<00:24, 19.22it/s]
eval model::   5%|▌         | 25/500 [00:01<00:25, 18.76it/s]
eval model::   6%|▌         | 28/500 [00:01<00:23, 19.94it/s]
eval model::   6%|▌         | 31/500 [00:01<00:26, 17.64it/s]
eval model::   7%|▋         | 34/500 [00:01<00:27, 17.13it/s]
eval model::   7%|▋         | 36/500 [00:01<00:26, 17.67it/s]
eval model::   8%|▊         | 38/500 [00:02<00:27, 16.81it/s]
eval model::   8%|▊         | 40/500 [00:02<00:30, 15.19it/s]
eval model::   8%|▊         | 42/500 [00:02<00:31, 14.36it/s]
eval model::   9%|▉         | 45/500 [00:02<00:27, 16.60it/s]
eval model::   9%|▉         | 47/500 [00:02<00:29, 15.37it/s]
eval model::  10%|█         | 50/500 [00:02<00:25, 17.70it/s]
eval model::  11%|█         | 53/500 [00:02<00:22, 20.20it/s]
eval model::  11%|█         | 56/500 [00:03<00:20, 21.32it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:23, 18.76it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:28, 15.26it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.68it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 20.55it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 22.09it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:18, 22.48it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:19, 22.21it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:17, 23.79it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.17it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 20.78it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 20.28it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:21, 19.27it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.42it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 19.13it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.88it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.03it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.10it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.33it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 20.19it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 20.65it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:20, 18.64it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:20, 18.96it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:19, 19.57it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:22, 16.73it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:19, 19.22it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:21, 17.42it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:22, 16.18it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:20, 17.75it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.69it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.71it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 20.91it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:16, 20.90it/s]
eval model::  30%|███       | 151/500 [00:07<00:17, 19.82it/s]
eval model::  31%|███       | 154/500 [00:08<00:16, 21.42it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:14, 23.40it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:19, 17.40it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:18, 17.88it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 20.59it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 20.76it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:17, 19.05it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.67it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.46it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:20, 15.69it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 17.78it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:16, 18.57it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:17, 18.18it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:16, 18.20it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:15, 19.95it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.88it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 20.89it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 21.67it/s]
eval model::  41%|████      | 206/500 [00:11<00:20, 14.23it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:20, 14.30it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:20, 14.40it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.80it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 14.02it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:22, 12.78it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 15.39it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.48it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.37it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 18.98it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 20.55it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 19.67it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 20.27it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 18.34it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:11, 21.38it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 19.56it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 19.61it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 20.62it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 20.39it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 20.56it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:12, 18.83it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 18.79it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:12, 19.03it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:14, 16.00it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:12, 17.61it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:13, 16.97it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:12, 18.16it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 20.05it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 21.16it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:17, 12.35it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.23it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:13, 15.16it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:14, 13.65it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 15.74it/s]
eval model::  60%|██████    | 301/500 [00:16<00:13, 14.63it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 16.14it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.41it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 20.15it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:08, 21.20it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:08, 20.94it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:07, 22.68it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 19.93it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:09, 19.41it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 19.28it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.13it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:07, 22.50it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:07, 21.17it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:09, 16.38it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.22it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.27it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.76it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 21.19it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.50it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.78it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 19.18it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.62it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.94it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 19.03it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:06, 19.29it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 23.23it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 20.83it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 22.42it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 13.94it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 17.12it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:05, 18.26it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 18.84it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 20.54it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 19.52it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.20it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 21.17it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 22.08it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 22.69it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 20.57it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 15.41it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 17.12it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:04, 15.99it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:03, 18.21it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 18.50it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 20.39it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:02, 21.07it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:02, 20.92it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 24.45it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 24.54it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 21.61it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.81it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 22.22it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 21.42it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:02, 18.10it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:01, 18.14it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 17.97it/s]
eval model::  94%|█████████▍| 469/500 [00:25<00:01, 19.59it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 21.29it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 21.75it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:00, 22.66it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 22.55it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 23.65it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 23.78it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 24.61it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 20.43it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 19.98it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 22.83it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.96it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:41, 11.96it/s]
eval model::   1%|          | 6/500 [00:00<00:26, 18.51it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.71it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.91it/s]
eval model::   3%|▎         | 13/500 [00:00<00:27, 17.71it/s]
eval model::   3%|▎         | 15/500 [00:00<00:27, 17.52it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.18it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 18.78it/s]
eval model::   5%|▍         | 24/500 [00:01<00:22, 20.83it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 20.70it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 22.31it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 20.03it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 19.82it/s]
eval model::   8%|▊         | 39/500 [00:02<00:27, 17.03it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.73it/s]
eval model::   9%|▉         | 45/500 [00:02<00:25, 18.03it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 16.81it/s]
eval model::  10%|█         | 50/500 [00:02<00:25, 17.65it/s]
eval model::  11%|█         | 53/500 [00:02<00:23, 19.02it/s]
eval model::  11%|█         | 55/500 [00:02<00:23, 18.70it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:24, 17.88it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:28, 15.68it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.91it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.81it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 20.14it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:19, 21.87it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:19, 21.76it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:18, 22.73it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:17, 23.90it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.62it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.22it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.20it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.48it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 20.07it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:18, 21.30it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 18.97it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 20.92it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:19, 20.38it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 20.17it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 21.55it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:18, 20.71it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.36it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.65it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.14it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:20, 18.42it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:22, 16.32it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:22, 16.47it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:19, 18.49it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.10it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.48it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.38it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.47it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.17it/s]
eval model::  31%|███       | 153/500 [00:08<00:18, 19.06it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 20.64it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 20.41it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:22, 14.76it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:21, 15.46it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:20, 15.99it/s]
eval model::  34%|███▎      | 168/500 [00:09<00:21, 15.74it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:22, 14.91it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:23, 13.78it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:23, 13.58it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:20, 15.90it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:23, 13.84it/s]
eval model::  37%|███▋      | 184/500 [00:10<00:19, 16.26it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:19, 16.29it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:16, 18.33it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:16, 18.63it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 20.95it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.62it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 20.02it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 21.48it/s]
eval model::  41%|████      | 206/500 [00:11<00:23, 12.62it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:22, 12.95it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:22, 12.81it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:20, 14.13it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:23, 12.22it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:25, 11.06it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:20, 13.50it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:22, 12.45it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:18, 15.02it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:17, 15.57it/s]
eval model::  46%|████▌     | 230/500 [00:13<00:15, 17.70it/s]
eval model::  47%|████▋     | 233/500 [00:13<00:13, 19.55it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:13, 19.73it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:11, 21.93it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 18.36it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 20.20it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.83it/s]
eval model::  50%|█████     | 251/500 [00:14<00:12, 20.74it/s]
eval model::  51%|█████     | 254/500 [00:14<00:11, 21.50it/s]
eval model::  51%|█████▏    | 257/500 [00:14<00:11, 21.32it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:11, 21.31it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:11, 20.01it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 19.33it/s]
eval model::  54%|█████▍    | 269/500 [00:15<00:12, 18.10it/s]
eval model::  54%|█████▍    | 272/500 [00:15<00:11, 19.09it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:12, 17.64it/s]
eval model::  55%|█████▌    | 277/500 [00:15<00:12, 17.39it/s]
eval model::  56%|█████▌    | 280/500 [00:15<00:11, 19.52it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:10, 21.69it/s]
eval model::  57%|█████▋    | 286/500 [00:16<00:19, 11.17it/s]
eval model::  58%|█████▊    | 289/500 [00:16<00:15, 13.41it/s]
eval model::  58%|█████▊    | 292/500 [00:16<00:13, 15.33it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:15, 13.08it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:12, 15.76it/s]
eval model::  60%|██████    | 301/500 [00:17<00:12, 15.65it/s]
eval model::  61%|██████    | 304/500 [00:17<00:11, 16.60it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:10, 18.54it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:10, 18.95it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:10, 17.92it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:10, 17.15it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.51it/s]
eval model::  64%|██████▍   | 322/500 [00:18<00:09, 19.41it/s]
eval model::  65%|██████▌   | 325/500 [00:18<00:08, 20.53it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:08, 19.41it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:09, 18.56it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:07, 20.90it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 19.90it/s]
eval model::  68%|██████▊   | 340/500 [00:19<00:10, 14.89it/s]
eval model::  69%|██████▊   | 343/500 [00:19<00:09, 17.11it/s]
eval model::  69%|██████▉   | 346/500 [00:19<00:08, 19.17it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 19.75it/s]
eval model::  70%|███████   | 352/500 [00:19<00:07, 20.81it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 20.79it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 20.97it/s]
eval model::  72%|███████▏  | 361/500 [00:20<00:08, 17.06it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:08, 16.89it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:08, 16.64it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:07, 18.12it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:07, 17.66it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:07, 17.99it/s]
eval model::  75%|███████▌  | 376/500 [00:21<00:06, 19.22it/s]
eval model::  76%|███████▌  | 379/500 [00:21<00:05, 21.06it/s]
eval model::  76%|███████▋  | 382/500 [00:21<00:05, 20.39it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:08, 13.95it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:06, 15.99it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:06, 16.18it/s]
eval model::  79%|███████▉  | 394/500 [00:22<00:05, 18.16it/s]
eval model::  79%|███████▉  | 397/500 [00:22<00:05, 19.73it/s]
eval model::  80%|████████  | 400/500 [00:22<00:05, 18.62it/s]
eval model::  81%|████████  | 403/500 [00:22<00:04, 20.34it/s]
eval model::  81%|████████  | 406/500 [00:22<00:04, 20.61it/s]
eval model::  82%|████████▏ | 409/500 [00:22<00:04, 22.13it/s]
eval model::  82%|████████▏ | 412/500 [00:22<00:03, 23.35it/s]
eval model::  83%|████████▎ | 415/500 [00:23<00:03, 21.45it/s]
eval model::  84%|████████▎ | 418/500 [00:23<00:04, 19.26it/s]
eval model::  84%|████████▍ | 421/500 [00:23<00:06, 12.81it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 13.24it/s]
eval model::  85%|████████▌ | 426/500 [00:24<00:05, 14.07it/s]
eval model::  86%|████████▌ | 429/500 [00:24<00:04, 16.57it/s]
eval model::  86%|████████▌ | 431/500 [00:24<00:04, 16.37it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 19.10it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 20.98it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:03, 19.19it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 20.55it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 21.95it/s]
eval model::  90%|█████████ | 450/500 [00:25<00:02, 20.98it/s]
eval model::  91%|█████████ | 454/500 [00:25<00:01, 23.47it/s]
eval model::  91%|█████████▏| 457/500 [00:25<00:01, 24.15it/s]
eval model::  92%|█████████▏| 460/500 [00:25<00:01, 23.27it/s]
eval model::  93%|█████████▎| 463/500 [00:25<00:02, 18.26it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:01, 18.27it/s]
eval model::  94%|█████████▎| 468/500 [00:26<00:01, 17.90it/s]
eval model::  94%|█████████▍| 471/500 [00:26<00:01, 19.89it/s]
eval model::  95%|█████████▍| 474/500 [00:26<00:01, 20.10it/s]
eval model::  95%|█████████▌| 477/500 [00:26<00:01, 20.14it/s]
eval model::  96%|█████████▌| 480/500 [00:26<00:00, 21.43it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 22.32it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 21.68it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 22.55it/s]
eval model::  98%|█████████▊| 492/500 [00:27<00:00, 18.88it/s]
eval model::  99%|█████████▉| 495/500 [00:27<00:00, 19.73it/s]
eval model:: 100%|█████████▉| 498/500 [00:27<00:00, 21.99it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.21it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:39, 12.72it/s]
eval model::   1%|          | 5/500 [00:00<00:26, 18.69it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.29it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 19.42it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 19.56it/s]
eval model::   4%|▎         | 18/500 [00:00<00:21, 22.36it/s]
eval model::   4%|▍         | 21/500 [00:01<00:23, 20.30it/s]
eval model::   5%|▍         | 24/500 [00:01<00:22, 20.89it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 21.29it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 20.65it/s]
eval model::   7%|▋         | 33/500 [00:01<00:24, 18.78it/s]
eval model::   7%|▋         | 35/500 [00:01<00:25, 18.54it/s]
eval model::   8%|▊         | 38/500 [00:01<00:23, 19.32it/s]
eval model::   8%|▊         | 40/500 [00:02<00:26, 17.19it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.08it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.23it/s]
eval model::   9%|▉         | 47/500 [00:02<00:25, 17.58it/s]
eval model::  10%|█         | 50/500 [00:02<00:25, 17.81it/s]
eval model::  11%|█         | 53/500 [00:02<00:22, 19.59it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 20.28it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:22, 20.04it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:26, 16.50it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:25, 17.02it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 19.69it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:21, 20.01it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:21, 19.75it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:20, 20.32it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.97it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.60it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 23.02it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:19, 20.88it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:21, 19.06it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 19.41it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:20, 19.56it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:21, 19.08it/s]
eval model::  20%|██        | 101/500 [00:05<00:21, 18.54it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 20.08it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 21.75it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:17, 22.00it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:16, 23.05it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:18, 20.79it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:18, 20.33it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:18, 20.12it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:20, 18.37it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:18, 19.98it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 18.33it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:21, 16.75it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:21, 17.38it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:21, 17.08it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:20, 17.68it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.30it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 18.93it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:20, 17.33it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 19.40it/s]
eval model::  30%|███       | 152/500 [00:07<00:19, 18.26it/s]
eval model::  31%|███       | 155/500 [00:07<00:16, 20.64it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 22.33it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:21, 16.06it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.51it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 19.29it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 19.64it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 19.49it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:19, 16.63it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:17, 18.20it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:18, 16.96it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 18.81it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.45it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.14it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:13, 22.78it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:13, 23.31it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:13, 22.34it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 22.48it/s]
eval model::  41%|████      | 204/500 [00:10<00:12, 23.65it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:20, 13.97it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:19, 14.71it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:19, 14.71it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.52it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.53it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:23, 11.82it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 14.78it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:20, 13.68it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.71it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.09it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.79it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 21.64it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.04it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 19.21it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:12, 20.88it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.86it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 20.76it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.33it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:10, 22.24it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 23.71it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:09, 23.77it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:10, 22.58it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:10, 21.29it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:10, 21.84it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 18.72it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.46it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.91it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 20.64it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:18, 11.29it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:14, 14.90it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:13, 15.24it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:14, 14.28it/s]
eval model::  60%|██████    | 300/500 [00:15<00:13, 15.19it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 17.35it/s]
eval model::  61%|██████    | 306/500 [00:16<00:10, 18.49it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:09, 20.35it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:09, 20.10it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 19.86it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 20.66it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:08, 21.93it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:08, 21.59it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:08, 20.97it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 20.23it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 23.05it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:07, 21.61it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:09, 16.27it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 18.58it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:07, 21.37it/s]
eval model::  70%|███████   | 350/500 [00:18<00:06, 23.21it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 24.10it/s]
eval model::  71%|███████   | 356/500 [00:18<00:06, 21.79it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 22.08it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:07, 19.26it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:07, 18.90it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.19it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:07, 17.85it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:07, 17.97it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 20.66it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 23.74it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 20.55it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:07, 15.25it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 17.49it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:05, 18.41it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:05, 19.08it/s]
eval model::  80%|███████▉  | 398/500 [00:20<00:04, 21.14it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 18.31it/s]
eval model::  81%|████████  | 404/500 [00:21<00:04, 19.69it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 20.67it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 21.57it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:04, 21.63it/s]
eval model::  83%|████████▎ | 416/500 [00:21<00:04, 20.93it/s]
eval model::  84%|████████▍ | 419/500 [00:21<00:04, 19.62it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:04, 16.37it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.39it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.11it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 18.90it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 19.09it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 22.04it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 23.12it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 23.05it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 24.59it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 23.50it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 21.64it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 22.13it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 23.27it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 22.68it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 19.94it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 19.75it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 20.49it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 20.00it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 21.13it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:00, 22.91it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 23.42it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 22.68it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 18.95it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 20.02it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 17.17it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 17.39it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 18.56it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.34it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:54,  9.12it/s]
eval model::   1%|          | 4/500 [00:00<00:30, 16.26it/s]
eval model::   1%|          | 6/500 [00:00<00:30, 15.94it/s]
eval model::   2%|▏         | 8/500 [00:00<00:29, 16.47it/s]
eval model::   2%|▏         | 11/500 [00:00<00:30, 15.88it/s]
eval model::   3%|▎         | 13/500 [00:00<00:29, 16.63it/s]
eval model::   3%|▎         | 15/500 [00:00<00:28, 17.05it/s]
eval model::   4%|▎         | 18/500 [00:01<00:26, 17.95it/s]
eval model::   4%|▍         | 20/500 [00:01<00:28, 16.61it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.38it/s]
eval model::   5%|▌         | 25/500 [00:01<00:24, 19.14it/s]
eval model::   6%|▌         | 28/500 [00:01<00:22, 20.97it/s]
eval model::   6%|▌         | 31/500 [00:01<00:22, 21.15it/s]
eval model::   7%|▋         | 34/500 [00:01<00:22, 20.50it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 21.02it/s]
eval model::   8%|▊         | 40/500 [00:02<00:23, 19.43it/s]
eval model::   8%|▊         | 42/500 [00:02<00:24, 18.61it/s]
eval model::   9%|▉         | 45/500 [00:02<00:21, 20.70it/s]
eval model::  10%|▉         | 48/500 [00:02<00:21, 20.59it/s]
eval model::  10%|█         | 51/500 [00:02<00:21, 21.10it/s]
eval model::  11%|█         | 54/500 [00:02<00:19, 22.61it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:19, 23.21it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:19, 22.08it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.32it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 17.35it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.57it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 21.28it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 22.11it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:18, 23.03it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:17, 23.28it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.01it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 19.88it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 18.82it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:21, 18.91it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:22, 18.23it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:20, 19.58it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.94it/s]
eval model::  21%|██        | 103/500 [00:05<00:18, 21.24it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.16it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.76it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 21.07it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 20.64it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:17, 22.09it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.81it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 17.92it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:22, 16.81it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:20, 18.37it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:21, 16.79it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:22, 15.98it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:19, 18.56it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:17, 20.21it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:16, 21.85it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:15, 22.74it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:16, 20.71it/s]
eval model::  30%|███       | 151/500 [00:07<00:18, 18.75it/s]
eval model::  31%|███       | 154/500 [00:07<00:17, 20.32it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:15, 21.58it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:22, 14.89it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:21, 16.03it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:18, 18.26it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 20.47it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:15, 21.34it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:18, 17.71it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:16, 19.25it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 17.50it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 17.96it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:17, 18.24it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 19.74it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 20.98it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.87it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.41it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.70it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.56it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:22, 12.76it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:21, 13.51it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 14.39it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.28it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 14.03it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 13.02it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 16.00it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:18, 14.97it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:15, 18.19it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:13, 20.21it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:11, 23.96it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:11, 22.96it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:10, 24.48it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 23.23it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:13, 19.29it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 21.46it/s]
eval model::  50%|█████     | 250/500 [00:13<00:11, 21.40it/s]
eval model::  51%|█████     | 253/500 [00:13<00:10, 22.46it/s]
eval model::  51%|█████     | 256/500 [00:13<00:10, 22.60it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 23.77it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 21.28it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:12, 19.45it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:11, 19.34it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 20.32it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.28it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.85it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:09, 22.29it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 19.97it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:21,  9.82it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:17, 11.90it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:16, 12.76it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:15, 13.64it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:16, 12.46it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 15.71it/s]
eval model::  60%|██████    | 301/500 [00:16<00:13, 14.92it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.52it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 19.05it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.59it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 20.62it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 19.84it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 21.88it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 21.68it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:07, 23.03it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 19.34it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.82it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 21.57it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:07, 20.53it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.35it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 17.88it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:07, 19.66it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.62it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 20.28it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 20.97it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 20.59it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:08, 17.10it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.21it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 16.41it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.16it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:07, 18.32it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:06, 19.97it/s]
eval model::  75%|███████▌  | 377/500 [00:20<00:05, 21.54it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 20.72it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:04, 24.12it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:07, 14.76it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 16.50it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:06, 17.19it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 18.52it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 20.26it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 19.72it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 19.30it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 20.03it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 21.67it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:04, 21.01it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 18.54it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 17.78it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:06, 12.62it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 13.60it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:05, 14.30it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 17.32it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 16.48it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 18.92it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:03, 20.08it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:02, 20.64it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 23.94it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 24.40it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 22.96it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 22.43it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:02, 20.69it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 20.28it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 18.27it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 17.22it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 18.58it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 20.21it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 19.54it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 21.14it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 20.98it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 18.99it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 18.41it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 19.55it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 18.69it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 19.77it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 22.03it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.93it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.26it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 18.98it/s]
eval model::   1%|          | 6/500 [00:00<00:25, 19.20it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.83it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 19.49it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 18.71it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.14it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.35it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 20.89it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.42it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.44it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 21.04it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 20.04it/s]
eval model::   8%|▊         | 38/500 [00:01<00:22, 20.51it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.85it/s]
eval model::   9%|▉         | 44/500 [00:02<00:24, 18.98it/s]
eval model::   9%|▉         | 46/500 [00:02<00:24, 18.17it/s]
eval model::  10%|▉         | 49/500 [00:02<00:22, 19.82it/s]
eval model::  10%|█         | 52/500 [00:02<00:20, 21.64it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 22.03it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:22, 19.55it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:30, 14.54it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:30, 14.30it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:26, 16.63it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.36it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:19, 21.57it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:20, 20.94it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 21.06it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.95it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.33it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 20.29it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.52it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.01it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:20, 19.96it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.15it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.38it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.12it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.53it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 20.94it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 21.42it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:19, 19.82it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 20.08it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.67it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.17it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 21.17it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 17.61it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:17, 20.34it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.98it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.48it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.59it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 20.22it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 18.07it/s]
eval model::  31%|███       | 153/500 [00:07<00:19, 17.63it/s]
eval model::  31%|███       | 155/500 [00:07<00:19, 17.77it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.20it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:21, 15.46it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:19, 17.09it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 18.58it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 20.14it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:16, 19.25it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:20, 15.98it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:18, 17.37it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:22, 14.18it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:19, 16.61it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.31it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 19.84it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 21.63it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 21.24it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:13, 21.91it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 21.83it/s]
eval model::  41%|████      | 204/500 [00:10<00:12, 23.08it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:20, 14.35it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:20, 14.49it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 14.43it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.11it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 14.09it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 13.07it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 15.21it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:22, 12.26it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:17, 15.69it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 19.59it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.65it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 21.89it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 23.31it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:14, 18.31it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:12, 19.62it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.34it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 20.11it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.13it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.36it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 23.04it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:10, 23.68it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:11, 21.23it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 19.14it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 19.22it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.57it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 17.39it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 17.26it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.05it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:18, 11.72it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 12.95it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:13, 15.79it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:12, 16.83it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:14, 13.78it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:10, 18.33it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 17.75it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 19.07it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 20.73it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:08, 22.80it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:08, 22.03it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 22.66it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:08, 22.31it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:08, 21.67it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:07, 22.33it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 21.13it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:08, 20.59it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 22.24it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 20.85it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:10, 14.52it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:09, 16.92it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:08, 17.20it/s]
eval model::  70%|███████   | 351/500 [00:18<00:08, 18.62it/s]
eval model::  71%|███████   | 354/500 [00:18<00:07, 19.94it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:08, 17.36it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:07, 17.87it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:08, 16.19it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.78it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 15.24it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 17.38it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:07, 17.73it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:07, 17.32it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:06, 19.83it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.02it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 22.26it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 13.74it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 15.96it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 17.15it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.01it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 21.02it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 19.96it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 21.22it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 21.47it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 21.66it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:04, 21.46it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 19.74it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 14.67it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 14.90it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 14.35it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 14.99it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 17.75it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 17.14it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:02, 22.18it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 23.40it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 22.18it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 25.00it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 23.44it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 22.50it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 22.81it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 23.44it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 22.93it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 19.81it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 19.33it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 20.16it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 20.50it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 20.55it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 19.18it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 19.87it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 19.58it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 18.68it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 19.93it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 15.97it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 16.39it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 16.72it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 21.19it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.91it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:32, 15.42it/s]
eval model::   1%|          | 5/500 [00:00<00:24, 20.04it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.63it/s]
eval model::   2%|▏         | 11/500 [00:00<00:26, 18.60it/s]
eval model::   3%|▎         | 14/500 [00:00<00:28, 16.96it/s]
eval model::   3%|▎         | 17/500 [00:00<00:25, 19.23it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.57it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.87it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 19.75it/s]
eval model::   6%|▌         | 29/500 [00:01<00:24, 19.52it/s]
eval model::   6%|▌         | 31/500 [00:01<00:25, 18.26it/s]
eval model::   7%|▋         | 34/500 [00:01<00:26, 17.50it/s]
eval model::   7%|▋         | 37/500 [00:01<00:24, 18.94it/s]
eval model::   8%|▊         | 39/500 [00:02<00:27, 16.85it/s]
eval model::   8%|▊         | 42/500 [00:02<00:28, 16.04it/s]
eval model::   9%|▉         | 45/500 [00:02<00:25, 17.71it/s]
eval model::   9%|▉         | 47/500 [00:02<00:29, 15.53it/s]
eval model::  10%|█         | 50/500 [00:02<00:27, 16.45it/s]
eval model::  10%|█         | 52/500 [00:02<00:26, 17.07it/s]
eval model::  11%|█         | 55/500 [00:03<00:23, 18.91it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.46it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 15.94it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:30, 14.49it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 16.96it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:23, 18.72it/s]
eval model::  14%|█▍        | 72/500 [00:04<00:22, 19.27it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:20, 20.75it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.68it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.78it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.35it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.04it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:21, 18.71it/s]
eval model::  18%|█▊        | 91/500 [00:05<00:23, 17.25it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:22, 17.88it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.58it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:18, 21.57it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.71it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.66it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.35it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 21.04it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:18, 21.37it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:20, 18.53it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:20, 18.57it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.17it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 18.70it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.04it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:20, 17.58it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:20, 17.60it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:19, 19.08it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.69it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:16, 21.37it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 21.36it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 19.87it/s]
eval model::  30%|███       | 151/500 [00:08<00:19, 18.14it/s]
eval model::  31%|███       | 154/500 [00:08<00:17, 20.07it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:15, 21.59it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:21, 15.83it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:20, 16.44it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:21, 15.79it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 17.59it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:16, 19.59it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:16, 19.41it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.26it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.51it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:20, 15.51it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:18, 17.21it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:17, 17.77it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:17, 17.82it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:17, 17.28it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:16, 19.12it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:17, 17.55it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 18.95it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.32it/s]
eval model::  41%|████      | 205/500 [00:11<00:20, 14.38it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:19, 15.15it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.99it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.83it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 14.19it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:22, 12.75it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:18, 14.83it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:21, 12.84it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:17, 15.62it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 16.08it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:14, 18.91it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:13, 20.46it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:12, 20.66it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:12, 20.81it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:13, 18.94it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 20.33it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.40it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 21.79it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.65it/s]
eval model::  51%|█████▏    | 257/500 [00:14<00:11, 20.45it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:11, 21.80it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:11, 20.41it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 19.26it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 18.89it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 20.58it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 18.95it/s]
eval model::  55%|█████▌    | 277/500 [00:15<00:11, 19.09it/s]
eval model::  56%|█████▌    | 280/500 [00:15<00:10, 20.55it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:10, 20.64it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:17, 11.97it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:14, 14.56it/s]
eval model::  58%|█████▊    | 292/500 [00:16<00:13, 15.96it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:15, 13.64it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:12, 15.90it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 15.65it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 16.46it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 16.04it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:10, 17.80it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:09, 19.96it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:09, 20.41it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 19.67it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 21.07it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 20.11it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 21.04it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:08, 20.37it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 20.70it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:07, 21.14it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 20.34it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.88it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 17.91it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 19.14it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 20.22it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 21.48it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.76it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.85it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.93it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.40it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 18.48it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:06, 19.73it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 18.27it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 19.69it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 21.20it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:06, 19.79it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 21.18it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:08, 13.73it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 15.96it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 17.10it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 18.36it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.89it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 17.93it/s]
eval model::  81%|████████  | 405/500 [00:22<00:04, 19.19it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 20.32it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 21.58it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 21.60it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 17.92it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 16.97it/s]
eval model::  84%|████████▍ | 421/500 [00:23<00:06, 12.47it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 13.62it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.50it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:04, 17.16it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 17.29it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 19.18it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 21.51it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:02, 20.10it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 21.40it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 22.65it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 19.65it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.53it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:02, 21.86it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 23.77it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:01, 19.38it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:02, 16.86it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:01, 17.45it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 19.97it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 20.14it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 21.32it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 23.89it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 23.76it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 22.21it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 22.19it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 18.29it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 20.07it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 21.62it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.58it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:37, 13.19it/s]
eval model::   1%|          | 5/500 [00:00<00:27, 17.97it/s]
eval model::   1%|▏         | 7/500 [00:00<00:27, 18.15it/s]
eval model::   2%|▏         | 9/500 [00:00<00:26, 18.60it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.65it/s]
eval model::   3%|▎         | 13/500 [00:00<00:27, 17.51it/s]
eval model::   3%|▎         | 15/500 [00:00<00:27, 17.62it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.94it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.18it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.66it/s]
eval model::   5%|▌         | 27/500 [00:01<00:23, 20.05it/s]
eval model::   6%|▌         | 30/500 [00:01<00:21, 21.70it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 19.54it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 19.99it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 18.38it/s]
eval model::   8%|▊         | 42/500 [00:02<00:24, 18.50it/s]
eval model::   9%|▉         | 45/500 [00:02<00:22, 20.45it/s]
eval model::  10%|▉         | 48/500 [00:02<00:23, 19.58it/s]
eval model::  10%|█         | 51/500 [00:02<00:23, 19.47it/s]
eval model::  11%|█         | 53/500 [00:02<00:23, 19.13it/s]
eval model::  11%|█         | 55/500 [00:02<00:23, 19.27it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:23, 18.86it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:25, 17.29it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:30, 14.51it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.41it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:20, 21.07it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 21.91it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 22.13it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 22.29it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:18, 22.98it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.48it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 20.99it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.30it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 18.77it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:20, 19.81it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:18, 21.27it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:18, 21.37it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.25it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.14it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:20, 19.44it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:20, 18.63it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:21, 18.01it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:21, 18.21it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 20.27it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.30it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:21, 17.18it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:19, 19.03it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 18.64it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.27it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.99it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:16, 21.58it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:15, 23.30it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:14, 24.92it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:16, 21.22it/s]
eval model::  30%|███       | 150/500 [00:07<00:15, 22.26it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 19.76it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:14, 22.99it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:21, 15.64it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.31it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 19.82it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 21.24it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:15, 20.90it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:17, 18.93it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:15, 20.65it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:15, 19.94it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:14, 22.24it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.83it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:13, 23.09it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:13, 22.23it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:13, 22.98it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 21.70it/s]
eval model::  41%|████      | 204/500 [00:10<00:12, 23.29it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:21, 13.74it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:20, 14.15it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:20, 14.43it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:20, 13.88it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:23, 12.28it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:24, 11.70it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:19, 14.49it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:21, 13.22it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:16, 16.91it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 19.28it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 22.13it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:11, 22.49it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 23.34it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 19.18it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:12, 20.47it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:11, 21.06it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 21.54it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 21.79it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 22.26it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 23.60it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:10, 22.71it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 21.14it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:11, 20.32it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 19.78it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:12, 17.62it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 18.43it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.66it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:17, 12.40it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:14, 14.15it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.67it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 17.04it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:12, 16.35it/s]
eval model::  60%|██████    | 300/500 [00:15<00:11, 17.71it/s]
eval model::  61%|██████    | 303/500 [00:15<00:09, 19.78it/s]
eval model::  61%|██████    | 306/500 [00:15<00:09, 20.53it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:08, 22.13it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:08, 22.15it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 20.07it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 20.79it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:08, 20.30it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:08, 20.91it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:07, 22.14it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 20.86it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 21.16it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:08, 19.45it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 18.77it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:10, 14.74it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:09, 16.94it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 18.66it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:08, 18.51it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 20.13it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 22.50it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:07, 19.15it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:06, 20.60it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:07, 18.00it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:07, 17.83it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:08, 15.76it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:07, 18.43it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:07, 18.08it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 22.24it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 24.02it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 21.13it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:07, 15.61it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 17.12it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 17.41it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:05, 18.85it/s]
eval model::  80%|███████▉  | 398/500 [00:20<00:04, 20.43it/s]
eval model::  80%|████████  | 401/500 [00:20<00:05, 18.96it/s]
eval model::  81%|████████  | 404/500 [00:21<00:04, 20.52it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 20.85it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 21.41it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:03, 22.14it/s]
eval model::  83%|████████▎ | 416/500 [00:21<00:04, 20.59it/s]
eval model::  84%|████████▍ | 419/500 [00:21<00:04, 18.67it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 13.65it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 14.96it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 15.44it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 19.09it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 19.82it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 21.46it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 22.60it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 20.80it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 21.77it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 21.64it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 21.77it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:01, 24.74it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:01, 24.72it/s]
eval model::  92%|█████████▏| 461/500 [00:23<00:01, 23.66it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:01, 19.70it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 19.28it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 22.15it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 21.62it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:00, 23.47it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 21.76it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 20.92it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 19.18it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 20.89it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 18.32it/s]
eval model::  99%|█████████▉| 494/500 [00:25<00:00, 18.48it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 17.43it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 19.55it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.37it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:51,  9.66it/s]
eval model::   1%|          | 3/500 [00:00<00:33, 14.95it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 18.02it/s]
eval model::   2%|▏         | 9/500 [00:00<00:24, 20.01it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 19.27it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 19.47it/s]
eval model::   3%|▎         | 17/500 [00:00<00:21, 21.99it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.39it/s]
eval model::   5%|▍         | 23/500 [00:01<00:21, 21.76it/s]
eval model::   5%|▌         | 26/500 [00:01<00:21, 22.32it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 22.08it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.50it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 19.30it/s]
eval model::   8%|▊         | 38/500 [00:01<00:23, 19.71it/s]
eval model::   8%|▊         | 41/500 [00:02<00:24, 18.76it/s]
eval model::   9%|▊         | 43/500 [00:02<00:26, 17.08it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 17.28it/s]
eval model::  10%|▉         | 49/500 [00:02<00:25, 17.93it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 18.91it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 20.39it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 19.07it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.50it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.76it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.56it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 22.04it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 22.21it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:22, 19.15it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:21, 19.70it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.82it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 22.03it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 20.54it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:21, 18.67it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 18.58it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:19, 20.30it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.38it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.45it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.51it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.11it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:17, 22.16it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:17, 22.09it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:17, 21.88it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.95it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.21it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.44it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.40it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:19, 18.53it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:20, 18.24it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:17, 20.36it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.92it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.58it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.03it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:20, 17.43it/s]
eval model::  30%|███       | 151/500 [00:07<00:20, 17.26it/s]
eval model::  31%|███       | 155/500 [00:07<00:16, 20.84it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:15, 21.76it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:20, 16.22it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:19, 17.08it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:18, 17.84it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.74it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.33it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.19it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.38it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 15.98it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 19.25it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.41it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 20.75it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 21.22it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.65it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.13it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.22it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:21, 13.91it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:20, 14.29it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.82it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.78it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:22, 12.52it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 14.82it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:20, 13.42it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.75it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 20.61it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 22.48it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 21.77it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 23.42it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:12, 20.26it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:11, 21.43it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:13, 18.92it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 19.88it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 20.45it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:12, 19.54it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 20.96it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 21.08it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 20.93it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 18.64it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.73it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.53it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 17.76it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 17.48it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.75it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:18, 11.56it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:15, 14.12it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 17.26it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:14, 13.78it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:11, 17.31it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 17.08it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 18.75it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 20.69it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:08, 21.78it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 22.81it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:07, 23.92it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:07, 24.53it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 20.88it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 20.79it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 20.27it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.13it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 21.93it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 19.76it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:10, 14.89it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:09, 16.54it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 17.63it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 19.77it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 21.89it/s]
eval model::  71%|███████   | 356/500 [00:18<00:06, 20.57it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 21.43it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 18.39it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:07, 18.14it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.05it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 19.60it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 19.71it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 23.23it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.02it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:04, 23.62it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:06, 16.15it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 17.81it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:05, 17.91it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 18.78it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.60it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 18.77it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 19.89it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 21.57it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 22.13it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 22.50it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 19.63it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:06, 12.88it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 13.94it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 14.60it/s]
eval model::  85%|████████▌ | 427/500 [00:22<00:04, 16.80it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 18.77it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 19.51it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:03, 20.81it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 21.64it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 21.50it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 22.09it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 22.12it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 22.56it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:01, 23.99it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 22.79it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 20.22it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 17.18it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 16.82it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 17.07it/s]
eval model::  94%|█████████▍| 470/500 [00:24<00:01, 19.65it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 20.10it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 20.27it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:00, 21.50it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 19.62it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 20.94it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 19.45it/s]
eval model::  98%|█████████▊| 491/500 [00:25<00:00, 19.46it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 18.49it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 18.49it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 21.13it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.06it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:52,  9.58it/s]
eval model::   1%|          | 3/500 [00:00<00:33, 14.72it/s]
eval model::   1%|          | 6/500 [00:00<00:30, 16.11it/s]
eval model::   2%|▏         | 9/500 [00:00<00:26, 18.38it/s]
eval model::   2%|▏         | 11/500 [00:00<00:36, 13.51it/s]
eval model::   3%|▎         | 13/500 [00:00<00:37, 13.06it/s]
eval model::   3%|▎         | 15/500 [00:01<00:35, 13.54it/s]
eval model::   4%|▎         | 18/500 [00:01<00:28, 17.05it/s]
eval model::   4%|▍         | 20/500 [00:01<00:27, 17.17it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.11it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.37it/s]
eval model::   6%|▌         | 29/500 [00:01<00:24, 19.50it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.33it/s]
eval model::   7%|▋         | 34/500 [00:02<00:26, 17.75it/s]
eval model::   7%|▋         | 37/500 [00:02<00:24, 19.16it/s]
eval model::   8%|▊         | 39/500 [00:02<00:28, 16.39it/s]
eval model::   8%|▊         | 42/500 [00:02<00:28, 16.23it/s]
eval model::   9%|▉         | 45/500 [00:02<00:24, 18.45it/s]
eval model::   9%|▉         | 47/500 [00:02<00:27, 16.51it/s]
eval model::  10%|█         | 50/500 [00:02<00:26, 17.01it/s]
eval model::  10%|█         | 52/500 [00:03<00:26, 17.13it/s]
eval model::  11%|█         | 56/500 [00:03<00:21, 20.27it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:22, 19.78it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.33it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.78it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 17.02it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:23, 18.23it/s]
eval model::  14%|█▍        | 72/500 [00:04<00:22, 19.41it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:22, 19.14it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.42it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.18it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.36it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 21.20it/s]
eval model::  18%|█▊        | 90/500 [00:05<00:22, 18.40it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:22, 18.47it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:19, 20.26it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:18, 21.44it/s]
eval model::  20%|██        | 102/500 [00:05<00:21, 18.30it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 20.36it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:19, 20.26it/s]
eval model::  22%|██▏       | 111/500 [00:06<00:18, 20.70it/s]
eval model::  23%|██▎       | 114/500 [00:06<00:17, 22.33it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:17, 22.49it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 20.77it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.75it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.46it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.34it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:23, 15.98it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:20, 17.72it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:20, 17.95it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:18, 19.00it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.90it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 20.35it/s]
eval model::  30%|██▉       | 149/500 [00:08<00:18, 18.70it/s]
eval model::  30%|███       | 151/500 [00:08<00:20, 16.91it/s]
eval model::  31%|███       | 154/500 [00:08<00:17, 19.49it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:16, 20.63it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:27, 12.57it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:25, 13.39it/s]
eval model::  33%|███▎      | 165/500 [00:09<00:21, 15.45it/s]
eval model::  34%|███▎      | 168/500 [00:09<00:19, 16.64it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:20, 16.18it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:21, 15.43it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:22, 14.61it/s]
eval model::  36%|███▌      | 179/500 [00:10<00:20, 16.02it/s]
eval model::  36%|███▌      | 181/500 [00:10<00:22, 13.87it/s]
eval model::  37%|███▋      | 184/500 [00:10<00:19, 15.98it/s]
eval model::  37%|███▋      | 187/500 [00:10<00:18, 16.89it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:16, 18.31it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:15, 20.20it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:15, 19.52it/s]
eval model::  40%|████      | 200/500 [00:11<00:13, 22.38it/s]
eval model::  41%|████      | 203/500 [00:11<00:13, 22.44it/s]
eval model::  41%|████      | 206/500 [00:11<00:20, 14.41it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:19, 14.87it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.90it/s]
eval model::  43%|████▎     | 213/500 [00:12<00:18, 15.52it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:21, 13.36it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:24, 11.63it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:22, 12.41it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:22, 12.26it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:18, 15.19it/s]
eval model::  45%|████▌     | 226/500 [00:13<00:17, 15.25it/s]
eval model::  46%|████▌     | 229/500 [00:13<00:14, 18.23it/s]
eval model::  46%|████▋     | 232/500 [00:13<00:13, 20.55it/s]
eval model::  47%|████▋     | 235/500 [00:13<00:13, 19.08it/s]
eval model::  48%|████▊     | 238/500 [00:13<00:12, 20.16it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:12, 21.17it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:12, 19.96it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:11, 21.27it/s]
eval model::  50%|█████     | 250/500 [00:14<00:11, 21.05it/s]
eval model::  51%|█████     | 253/500 [00:14<00:11, 22.28it/s]
eval model::  51%|█████     | 256/500 [00:14<00:11, 21.29it/s]
eval model::  52%|█████▏    | 259/500 [00:14<00:12, 20.05it/s]
eval model::  52%|█████▏    | 262/500 [00:14<00:12, 19.45it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:13, 17.11it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:13, 17.50it/s]
eval model::  54%|█████▍    | 269/500 [00:15<00:13, 16.64it/s]
eval model::  54%|█████▍    | 272/500 [00:15<00:12, 17.58it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:13, 16.64it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:11, 18.68it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 20.28it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 20.88it/s]
eval model::  57%|█████▋    | 287/500 [00:16<00:19, 10.79it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:14, 14.36it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:14, 14.07it/s]
eval model::  59%|█████▉    | 296/500 [00:17<00:16, 12.68it/s]
eval model::  60%|█████▉    | 299/500 [00:17<00:13, 14.45it/s]
eval model::  60%|██████    | 301/500 [00:17<00:15, 12.90it/s]
eval model::  61%|██████    | 304/500 [00:17<00:13, 14.34it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:11, 16.50it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:10, 17.60it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:10, 17.36it/s]
eval model::  63%|██████▎   | 315/500 [00:18<00:10, 18.07it/s]
eval model::  64%|██████▎   | 318/500 [00:18<00:09, 20.13it/s]
eval model::  64%|██████▍   | 321/500 [00:18<00:08, 20.98it/s]
eval model::  65%|██████▍   | 324/500 [00:18<00:08, 20.22it/s]
eval model::  65%|██████▌   | 327/500 [00:18<00:08, 21.37it/s]
eval model::  66%|██████▌   | 330/500 [00:18<00:08, 19.98it/s]
eval model::  67%|██████▋   | 333/500 [00:18<00:07, 21.01it/s]
eval model::  67%|██████▋   | 336/500 [00:19<00:07, 21.71it/s]
eval model::  68%|██████▊   | 339/500 [00:19<00:08, 19.29it/s]
eval model::  68%|██████▊   | 342/500 [00:19<00:10, 14.89it/s]
eval model::  69%|██████▉   | 345/500 [00:19<00:09, 16.92it/s]
eval model::  69%|██████▉   | 347/500 [00:19<00:09, 16.80it/s]
eval model::  70%|███████   | 350/500 [00:19<00:07, 18.99it/s]
eval model::  71%|███████   | 353/500 [00:20<00:07, 20.74it/s]
eval model::  71%|███████   | 356/500 [00:20<00:07, 19.26it/s]
eval model::  72%|███████▏  | 359/500 [00:20<00:06, 20.61it/s]
eval model::  72%|███████▏  | 362/500 [00:20<00:07, 17.90it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:07, 17.53it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:08, 16.49it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:07, 17.47it/s]
eval model::  74%|███████▍  | 371/500 [00:21<00:07, 17.80it/s]
eval model::  75%|███████▍  | 373/500 [00:21<00:07, 16.50it/s]
eval model::  75%|███████▌  | 376/500 [00:21<00:06, 18.36it/s]
eval model::  76%|███████▌  | 379/500 [00:21<00:05, 20.78it/s]
eval model::  76%|███████▋  | 382/500 [00:21<00:05, 19.81it/s]
eval model::  77%|███████▋  | 385/500 [00:21<00:05, 20.59it/s]
eval model::  78%|███████▊  | 388/500 [00:22<00:08, 13.24it/s]
eval model::  78%|███████▊  | 391/500 [00:22<00:07, 15.34it/s]
eval model::  79%|███████▊  | 393/500 [00:22<00:06, 15.75it/s]
eval model::  79%|███████▉  | 395/500 [00:22<00:06, 16.43it/s]
eval model::  80%|███████▉  | 399/500 [00:22<00:05, 18.81it/s]
eval model::  80%|████████  | 402/500 [00:22<00:05, 18.22it/s]
eval model::  81%|████████  | 405/500 [00:22<00:04, 19.57it/s]
eval model::  82%|████████▏ | 408/500 [00:23<00:04, 20.29it/s]
eval model::  82%|████████▏ | 411/500 [00:23<00:04, 21.44it/s]
eval model::  83%|████████▎ | 414/500 [00:23<00:03, 21.51it/s]
eval model::  83%|████████▎ | 417/500 [00:23<00:04, 19.58it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:05, 13.82it/s]
eval model::  84%|████████▍ | 422/500 [00:24<00:05, 14.47it/s]
eval model::  85%|████████▍ | 424/500 [00:24<00:05, 13.46it/s]
eval model::  85%|████████▌ | 426/500 [00:24<00:05, 14.50it/s]
eval model::  86%|████████▌ | 429/500 [00:24<00:04, 17.04it/s]
eval model::  86%|████████▌ | 431/500 [00:24<00:04, 16.51it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 20.35it/s]
eval model::  88%|████████▊ | 438/500 [00:24<00:02, 22.23it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:02, 20.22it/s]
eval model::  89%|████████▉ | 444/500 [00:25<00:02, 22.13it/s]
eval model::  89%|████████▉ | 447/500 [00:25<00:02, 23.20it/s]
eval model::  90%|█████████ | 450/500 [00:25<00:02, 20.73it/s]
eval model::  91%|█████████ | 453/500 [00:25<00:02, 22.25it/s]
eval model::  91%|█████████ | 456/500 [00:25<00:01, 22.39it/s]
eval model::  92%|█████████▏| 460/500 [00:25<00:01, 23.66it/s]
eval model::  93%|█████████▎| 463/500 [00:26<00:02, 17.82it/s]
eval model::  93%|█████████▎| 466/500 [00:26<00:01, 18.03it/s]
eval model::  94%|█████████▍| 469/500 [00:26<00:01, 19.29it/s]
eval model::  94%|█████████▍| 472/500 [00:26<00:01, 21.33it/s]
eval model::  95%|█████████▌| 475/500 [00:26<00:01, 21.93it/s]
eval model::  96%|█████████▌| 478/500 [00:26<00:00, 23.52it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 24.41it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 25.07it/s]
eval model::  97%|█████████▋| 487/500 [00:27<00:00, 22.78it/s]
eval model::  98%|█████████▊| 491/500 [00:27<00:00, 23.76it/s]
eval model::  99%|█████████▉| 494/500 [00:27<00:00, 21.83it/s]
eval model::  99%|█████████▉| 497/500 [00:27<00:00, 22.50it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.11it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:58,  8.56it/s]
eval model::   1%|          | 3/500 [00:00<00:34, 14.33it/s]
eval model::   1%|          | 6/500 [00:00<00:31, 15.73it/s]
eval model::   2%|▏         | 9/500 [00:00<00:26, 18.74it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.48it/s]
eval model::   3%|▎         | 13/500 [00:00<00:29, 16.78it/s]
eval model::   3%|▎         | 15/500 [00:00<00:30, 16.13it/s]
eval model::   4%|▎         | 18/500 [00:01<00:25, 19.19it/s]
eval model::   4%|▍         | 20/500 [00:01<00:27, 17.76it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 19.96it/s]
eval model::   5%|▌         | 26/500 [00:01<00:25, 18.50it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 20.73it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 19.74it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 18.74it/s]
eval model::   8%|▊         | 38/500 [00:02<00:22, 20.27it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.56it/s]
eval model::   9%|▉         | 44/500 [00:02<00:24, 18.50it/s]
eval model::   9%|▉         | 46/500 [00:02<00:24, 18.37it/s]
eval model::  10%|▉         | 49/500 [00:02<00:22, 20.10it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 20.70it/s]
eval model::  11%|█         | 55/500 [00:02<00:19, 22.26it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:21, 20.89it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.41it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.20it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.67it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 21.75it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 20.73it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:20, 20.82it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.80it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.69it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 21.43it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 19.49it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:24, 16.82it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:23, 17.10it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:22, 18.33it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.35it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 19.93it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.41it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:17, 21.99it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:17, 21.63it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:16, 22.96it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:16, 22.65it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:17, 22.24it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.86it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.60it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.46it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.17it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:19, 19.17it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.38it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.86it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.42it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 19.83it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.58it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 21.20it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:14, 23.72it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:21, 15.92it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.43it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 19.06it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:15, 20.94it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 19.78it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:16, 19.82it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:15, 20.58it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 17.48it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 19.18it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:16, 18.62it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:16, 19.29it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:13, 22.65it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:14, 20.47it/s]
eval model::  40%|████      | 200/500 [00:10<00:13, 22.03it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 22.25it/s]
eval model::  41%|████      | 206/500 [00:10<00:19, 14.85it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:19, 14.67it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:20, 14.00it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.92it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 14.22it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 12.95it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 15.69it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:19, 14.34it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:15, 17.87it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.65it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 22.52it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 21.10it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:10, 23.85it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:15, 17.01it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:14, 17.58it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:14, 17.58it/s]
eval model::  50%|█████     | 251/500 [00:13<00:14, 17.40it/s]
eval model::  51%|█████     | 253/500 [00:13<00:14, 17.35it/s]
eval model::  51%|█████     | 255/500 [00:13<00:15, 15.87it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:13, 17.44it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 20.06it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 20.99it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 21.16it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:10, 21.37it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:10, 22.11it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 19.73it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.02it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.27it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:18, 11.75it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:14, 14.29it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.83it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.38it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:13, 15.36it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 15.91it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 17.69it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 17.68it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:10, 19.13it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.68it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 21.15it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 22.15it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:07, 22.66it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 20.91it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 21.25it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:07, 21.47it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.89it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 23.41it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:08, 18.91it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:10, 15.89it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:08, 17.75it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 19.10it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 21.28it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 22.57it/s]
eval model::  71%|███████   | 356/500 [00:18<00:06, 20.77it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 21.33it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:06, 20.77it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:06, 20.78it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:07, 18.61it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 18.89it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 20.30it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 21.65it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:05, 21.35it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 22.51it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 13.75it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:07, 15.63it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 16.21it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:06, 16.47it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 18.25it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 20.14it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 20.46it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.38it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 18.47it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 20.16it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:04, 20.27it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 19.09it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 18.33it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 13.38it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 14.63it/s]
eval model::  85%|████████▌ | 427/500 [00:22<00:04, 17.30it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 18.85it/s]
eval model::  87%|████████▋ | 434/500 [00:22<00:03, 20.10it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:02, 21.43it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:02, 21.04it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 23.45it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 23.73it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 21.67it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 21.51it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:01, 22.03it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 21.71it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:01, 19.57it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 17.50it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 17.88it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 20.85it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 20.88it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 21.63it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 20.76it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 21.29it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 17.60it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 21.02it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 19.24it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 19.19it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 22.47it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.13it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:56,  8.90it/s]
eval model::   1%|          | 3/500 [00:00<00:33, 14.90it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.56it/s]
eval model::   2%|▏         | 9/500 [00:00<00:24, 20.29it/s]
eval model::   2%|▏         | 12/500 [00:00<00:24, 20.14it/s]
eval model::   3%|▎         | 15/500 [00:00<00:24, 19.44it/s]
eval model::   4%|▎         | 18/500 [00:00<00:23, 20.95it/s]
eval model::   4%|▍         | 21/500 [00:01<00:24, 19.79it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.47it/s]
eval model::   5%|▌         | 27/500 [00:01<00:23, 20.14it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 20.86it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 19.48it/s]
eval model::   7%|▋         | 35/500 [00:01<00:27, 16.83it/s]
eval model::   7%|▋         | 37/500 [00:01<00:26, 17.21it/s]
eval model::   8%|▊         | 39/500 [00:02<00:29, 15.75it/s]
eval model::   8%|▊         | 42/500 [00:02<00:29, 15.76it/s]
eval model::   9%|▉         | 44/500 [00:02<00:28, 16.23it/s]
eval model::   9%|▉         | 46/500 [00:02<00:27, 16.26it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 18.80it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 20.67it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.20it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.95it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:23, 19.09it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:30, 14.18it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:28, 15.11it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:21, 19.71it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:19, 21.64it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:19, 21.63it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:19, 22.21it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:17, 23.55it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:17, 23.70it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:18, 21.96it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:20, 20.11it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:19, 21.17it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:19, 20.37it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:18, 21.25it/s]
eval model::  20%|██        | 101/500 [00:05<00:20, 19.36it/s]
eval model::  21%|██        | 104/500 [00:05<00:20, 19.51it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:19, 20.60it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:20, 19.45it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:20, 19.24it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:20, 18.60it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:24, 15.98it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:20, 18.31it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:22, 17.19it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:21, 17.52it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.40it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:20, 18.28it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:21, 17.52it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:22, 16.07it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:21, 17.13it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.67it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.62it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.20it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 20.50it/s]
eval model::  30%|███       | 151/500 [00:07<00:17, 19.41it/s]
eval model::  31%|███       | 155/500 [00:08<00:14, 23.24it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:13, 25.05it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:18, 18.11it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:17, 19.19it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:16, 19.69it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 18.84it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:17, 18.91it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.16it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.75it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 16.60it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:16, 18.82it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:15, 19.83it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:14, 20.89it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 21.29it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.90it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 20.32it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 20.65it/s]
eval model::  41%|████      | 206/500 [00:11<00:23, 12.62it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:21, 13.45it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:21, 13.68it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 15.06it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.67it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:22, 12.70it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 15.26it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:19, 13.92it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:16, 16.91it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:16, 16.89it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:14, 18.96it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:13, 19.87it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 19.39it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 20.25it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:15, 16.86it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 19.02it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.25it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 20.37it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 22.19it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:10, 22.22it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:10, 23.88it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:10, 22.95it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:10, 21.91it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 18.84it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:10, 20.90it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.50it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.19it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:11, 19.61it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:11, 19.01it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:19, 11.14it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:15, 13.93it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:13, 15.81it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:15, 12.94it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:12, 15.63it/s]
eval model::  60%|██████    | 301/500 [00:16<00:12, 15.67it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.57it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:09, 20.06it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:08, 23.17it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 22.92it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:08, 22.09it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 21.87it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 20.39it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:07, 21.94it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 20.33it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 18.85it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:08, 19.92it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:09, 17.71it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:12, 12.96it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:10, 15.39it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.50it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:08, 17.28it/s]
eval model::  71%|███████   | 353/500 [00:19<00:07, 20.75it/s]
eval model::  71%|███████   | 356/500 [00:19<00:07, 20.32it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:06, 21.14it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 18.75it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:07, 18.24it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.39it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 19.57it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:05, 21.28it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 22.94it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 22.11it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 22.88it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:07, 15.09it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 17.62it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:05, 18.88it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:04, 21.70it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 23.21it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 21.46it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 22.98it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 22.72it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 24.39it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 22.64it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 19.75it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 14.98it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 16.65it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:04, 15.62it/s]
eval model::  86%|████████▌ | 428/500 [00:22<00:04, 17.80it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 18.89it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 21.00it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 22.88it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 20.18it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 20.43it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 20.67it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 19.46it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.26it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 24.02it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 24.78it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 21.76it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 20.76it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 19.89it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 18.63it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 17.29it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 18.86it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:01, 18.27it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:01, 18.19it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 18.51it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 20.42it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 20.76it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 18.57it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 19.82it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 21.64it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.98it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:54,  9.10it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 17.96it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 18.01it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.65it/s]
eval model::   2%|▏         | 11/500 [00:00<00:26, 18.29it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.54it/s]
eval model::   4%|▎         | 18/500 [00:00<00:21, 22.44it/s]
eval model::   4%|▍         | 21/500 [00:01<00:23, 20.23it/s]
eval model::   5%|▍         | 24/500 [00:01<00:21, 22.10it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 20.99it/s]
eval model::   6%|▌         | 30/500 [00:01<00:20, 22.70it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.58it/s]
eval model::   7%|▋         | 36/500 [00:01<00:24, 19.33it/s]
eval model::   8%|▊         | 39/500 [00:01<00:23, 19.54it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.76it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.49it/s]
eval model::  10%|▉         | 48/500 [00:02<00:25, 17.53it/s]
eval model::  10%|█         | 51/500 [00:02<00:23, 18.93it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 20.50it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:22, 19.98it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.15it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:28, 15.51it/s]
eval model::  13%|█▎        | 65/500 [00:03<00:25, 17.21it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 21.36it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:18, 23.04it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:18, 22.60it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:18, 22.38it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:17, 23.60it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.88it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 20.13it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 19.08it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 19.16it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:20, 20.08it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:19, 21.09it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.12it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.01it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:16, 23.33it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:17, 22.24it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 21.17it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:17, 21.79it/s]
eval model::  24%|██▍       | 121/500 [00:05<00:17, 21.06it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 20.01it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 20.02it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:20, 18.15it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.24it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.53it/s]
eval model::  27%|██▋       | 137/500 [00:06<00:18, 19.39it/s]
eval model::  28%|██▊       | 140/500 [00:06<00:17, 20.72it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:15, 22.90it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:15, 22.45it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:15, 22.15it/s]
eval model::  30%|███       | 152/500 [00:07<00:17, 20.21it/s]
eval model::  31%|███       | 155/500 [00:07<00:15, 21.92it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:15, 22.74it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:24, 13.88it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:22, 14.79it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:19, 16.77it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 18.42it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 19.38it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:20, 15.83it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:19, 16.31it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:21, 15.15it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:18, 17.12it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 18.53it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 19.87it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 20.78it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:14, 20.34it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.38it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.59it/s]
eval model::  41%|████      | 204/500 [00:10<00:14, 20.19it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:24, 11.89it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:22, 12.86it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 13.80it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.56it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.82it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:22, 12.72it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:20, 13.71it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:21, 13.22it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:17, 16.17it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:14, 18.92it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:11, 22.87it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:11, 23.14it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:10, 25.65it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:10, 24.40it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:12, 21.24it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 22.64it/s]
eval model::  50%|█████     | 250/500 [00:13<00:11, 21.30it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 22.32it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 22.02it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:10, 23.58it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:11, 21.07it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:10, 21.60it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:10, 21.42it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:11, 20.47it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:11, 19.48it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:12, 17.32it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 17.95it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.02it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:20, 10.61it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:18, 11.82it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:13, 15.67it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:13, 15.47it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:14, 14.35it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 15.47it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 16.15it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.90it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:09, 19.42it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 20.89it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 20.27it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 19.23it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 21.42it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 20.39it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 21.46it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 20.31it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.32it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 21.40it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:07, 22.17it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.43it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 17.27it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 19.13it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.85it/s]
eval model::  70%|███████   | 352/500 [00:18<00:06, 21.34it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 20.73it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 21.67it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:08, 17.33it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.71it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 16.71it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.22it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:06, 18.43it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 18.26it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 20.77it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.80it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:04, 24.71it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:07, 16.13it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 17.66it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:05, 17.91it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 17.88it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.22it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 19.42it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.66it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 21.78it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 22.01it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 22.23it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 20.24it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 15.05it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 15.59it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 14.98it/s]
eval model::  85%|████████▌ | 427/500 [00:22<00:04, 16.83it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 18.65it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 18.19it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:02, 21.76it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 23.68it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 24.52it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 25.62it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 25.29it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:01, 25.07it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:01, 23.93it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 24.02it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 22.95it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 19.50it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 18.89it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 18.56it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 21.98it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 22.06it/s]
eval model::  96%|█████████▌| 479/500 [00:24<00:00, 23.12it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 23.13it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 22.17it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 18.37it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 18.70it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 17.16it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 18.68it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 20.90it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.21it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:52,  9.43it/s]
eval model::   1%|          | 4/500 [00:00<00:31, 15.92it/s]
eval model::   1%|          | 6/500 [00:00<00:31, 15.92it/s]
eval model::   2%|▏         | 8/500 [00:00<00:29, 16.61it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.66it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.93it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.27it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.76it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.56it/s]
eval model::   5%|▌         | 25/500 [00:01<00:24, 19.14it/s]
eval model::   5%|▌         | 27/500 [00:01<00:25, 18.71it/s]
eval model::   6%|▌         | 29/500 [00:01<00:25, 18.12it/s]
eval model::   6%|▌         | 31/500 [00:01<00:27, 17.02it/s]
eval model::   7%|▋         | 34/500 [00:01<00:28, 16.52it/s]
eval model::   7%|▋         | 37/500 [00:02<00:24, 18.93it/s]
eval model::   8%|▊         | 39/500 [00:02<00:26, 17.42it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.54it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.42it/s]
eval model::   9%|▉         | 47/500 [00:02<00:25, 17.89it/s]
eval model::  10%|█         | 50/500 [00:02<00:24, 18.36it/s]
eval model::  10%|█         | 52/500 [00:02<00:24, 18.50it/s]
eval model::  11%|█         | 54/500 [00:03<00:25, 17.47it/s]
eval model::  11%|█         | 56/500 [00:03<00:25, 17.12it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:27, 15.80it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:30, 14.22it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:35, 12.46it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:27, 15.65it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:23, 18.63it/s]
eval model::  14%|█▍        | 72/500 [00:04<00:21, 19.94it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:20, 20.28it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.52it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.62it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.18it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 19.78it/s]
eval model::  18%|█▊        | 90/500 [00:05<00:23, 17.67it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:23, 17.66it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 19.21it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.86it/s]
eval model::  20%|██        | 102/500 [00:05<00:22, 17.92it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.56it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 20.91it/s]
eval model::  22%|██▏       | 112/500 [00:06<00:18, 21.05it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:18, 20.54it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 20.97it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.91it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.21it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.48it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.50it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:21, 16.86it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:23, 15.57it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:21, 17.01it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:21, 17.12it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:20, 17.34it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.08it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:20, 17.37it/s]
eval model::  30%|██▉       | 148/500 [00:08<00:23, 14.70it/s]
eval model::  30%|███       | 150/500 [00:08<00:22, 15.58it/s]
eval model::  30%|███       | 152/500 [00:08<00:23, 14.56it/s]
eval model::  31%|███       | 155/500 [00:08<00:20, 16.95it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:17, 19.84it/s]
eval model::  32%|███▏      | 161/500 [00:09<00:27, 12.53it/s]
eval model::  33%|███▎      | 163/500 [00:09<00:25, 13.40it/s]
eval model::  33%|███▎      | 166/500 [00:09<00:20, 16.12it/s]
eval model::  34%|███▍      | 169/500 [00:09<00:18, 17.77it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:18, 17.93it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:19, 16.33it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:19, 16.77it/s]
eval model::  36%|███▌      | 180/500 [00:10<00:23, 13.48it/s]
eval model::  37%|███▋      | 183/500 [00:10<00:20, 15.35it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:17, 17.59it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:17, 18.07it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:15, 20.58it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 21.54it/s]
eval model::  40%|███▉      | 198/500 [00:11<00:14, 20.78it/s]
eval model::  40%|████      | 201/500 [00:11<00:13, 21.86it/s]
eval model::  41%|████      | 204/500 [00:11<00:12, 23.62it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:23, 12.32it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:21, 13.26it/s]
eval model::  42%|████▏     | 211/500 [00:12<00:21, 13.38it/s]
eval model::  43%|████▎     | 213/500 [00:12<00:20, 14.13it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:23, 11.94it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:28,  9.85it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:25, 10.97it/s]
eval model::  44%|████▍     | 221/500 [00:13<00:26, 10.39it/s]
eval model::  45%|████▍     | 223/500 [00:13<00:24, 11.19it/s]
eval model::  45%|████▌     | 226/500 [00:13<00:21, 12.79it/s]
eval model::  46%|████▌     | 229/500 [00:13<00:17, 15.83it/s]
eval model::  46%|████▋     | 232/500 [00:13<00:15, 17.60it/s]
eval model::  47%|████▋     | 234/500 [00:13<00:16, 16.47it/s]
eval model::  47%|████▋     | 237/500 [00:13<00:14, 18.45it/s]
eval model::  48%|████▊     | 240/500 [00:14<00:12, 20.05it/s]
eval model::  49%|████▊     | 243/500 [00:14<00:14, 17.61it/s]
eval model::  49%|████▉     | 246/500 [00:14<00:12, 20.13it/s]
eval model::  50%|████▉     | 249/500 [00:14<00:12, 20.05it/s]
eval model::  50%|█████     | 252/500 [00:14<00:12, 19.42it/s]
eval model::  51%|█████     | 255/500 [00:14<00:12, 19.64it/s]
eval model::  52%|█████▏    | 258/500 [00:14<00:12, 18.98it/s]
eval model::  52%|█████▏    | 261/500 [00:15<00:11, 20.15it/s]
eval model::  53%|█████▎    | 264/500 [00:15<00:12, 19.33it/s]
eval model::  53%|█████▎    | 267/500 [00:15<00:11, 19.85it/s]
eval model::  54%|█████▍    | 270/500 [00:15<00:12, 19.05it/s]
eval model::  55%|█████▍    | 273/500 [00:15<00:11, 20.32it/s]
eval model::  55%|█████▌    | 276/500 [00:15<00:12, 17.67it/s]
eval model::  56%|█████▌    | 279/500 [00:16<00:11, 19.28it/s]
eval model::  56%|█████▋    | 282/500 [00:16<00:10, 21.19it/s]
eval model::  57%|█████▋    | 285/500 [00:16<00:15, 13.53it/s]
eval model::  58%|█████▊    | 288/500 [00:16<00:13, 15.49it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:11, 17.75it/s]
eval model::  59%|█████▉    | 294/500 [00:17<00:13, 15.33it/s]
eval model::  59%|█████▉    | 296/500 [00:17<00:16, 12.53it/s]
eval model::  60%|█████▉    | 299/500 [00:17<00:13, 15.22it/s]
eval model::  60%|██████    | 301/500 [00:17<00:14, 13.42it/s]
eval model::  61%|██████    | 304/500 [00:17<00:13, 15.04it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:11, 17.50it/s]
eval model::  62%|██████▏   | 310/500 [00:18<00:09, 19.28it/s]
eval model::  63%|██████▎   | 313/500 [00:18<00:09, 20.03it/s]
eval model::  63%|██████▎   | 316/500 [00:18<00:10, 17.58it/s]
eval model::  64%|██████▍   | 319/500 [00:18<00:09, 19.13it/s]
eval model::  64%|██████▍   | 322/500 [00:18<00:09, 18.77it/s]
eval model::  65%|██████▌   | 325/500 [00:18<00:08, 20.50it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:09, 18.47it/s]
eval model::  66%|██████▌   | 330/500 [00:19<00:09, 17.82it/s]
eval model::  67%|██████▋   | 333/500 [00:19<00:08, 19.09it/s]
eval model::  67%|██████▋   | 336/500 [00:19<00:08, 19.36it/s]
eval model::  68%|██████▊   | 338/500 [00:19<00:09, 17.86it/s]
eval model::  68%|██████▊   | 340/500 [00:19<00:11, 13.41it/s]
eval model::  68%|██████▊   | 342/500 [00:19<00:10, 14.50it/s]
eval model::  69%|██████▉   | 345/500 [00:20<00:08, 17.66it/s]
eval model::  69%|██████▉   | 347/500 [00:20<00:08, 17.87it/s]
eval model::  70%|███████   | 350/500 [00:20<00:07, 19.58it/s]
eval model::  71%|███████   | 353/500 [00:20<00:06, 21.11it/s]
eval model::  71%|███████   | 356/500 [00:20<00:07, 18.34it/s]
eval model::  72%|███████▏  | 359/500 [00:20<00:07, 19.52it/s]
eval model::  72%|███████▏  | 362/500 [00:20<00:08, 17.06it/s]
eval model::  73%|███████▎  | 364/500 [00:21<00:08, 16.93it/s]
eval model::  73%|███████▎  | 366/500 [00:21<00:08, 16.32it/s]
eval model::  74%|███████▍  | 369/500 [00:21<00:07, 17.46it/s]
eval model::  74%|███████▍  | 372/500 [00:21<00:07, 17.95it/s]
eval model::  75%|███████▌  | 375/500 [00:21<00:06, 19.79it/s]
eval model::  76%|███████▌  | 379/500 [00:21<00:05, 24.03it/s]
eval model::  76%|███████▋  | 382/500 [00:21<00:05, 22.01it/s]
eval model::  77%|███████▋  | 385/500 [00:22<00:04, 23.11it/s]
eval model::  78%|███████▊  | 388/500 [00:22<00:07, 14.96it/s]
eval model::  78%|███████▊  | 391/500 [00:22<00:06, 16.25it/s]
eval model::  79%|███████▉  | 394/500 [00:22<00:06, 17.35it/s]
eval model::  79%|███████▉  | 397/500 [00:22<00:05, 18.93it/s]
eval model::  80%|████████  | 400/500 [00:22<00:05, 18.93it/s]
eval model::  81%|████████  | 403/500 [00:23<00:04, 19.61it/s]
eval model::  81%|████████  | 406/500 [00:23<00:04, 21.13it/s]
eval model::  82%|████████▏ | 409/500 [00:23<00:04, 22.45it/s]
eval model::  82%|████████▏ | 412/500 [00:23<00:03, 23.33it/s]
eval model::  83%|████████▎ | 415/500 [00:23<00:03, 21.36it/s]
eval model::  84%|████████▎ | 418/500 [00:23<00:04, 19.59it/s]
eval model::  84%|████████▍ | 421/500 [00:24<00:06, 13.13it/s]
eval model::  85%|████████▍ | 424/500 [00:24<00:05, 13.48it/s]
eval model::  85%|████████▌ | 426/500 [00:24<00:05, 14.38it/s]
eval model::  86%|████████▌ | 429/500 [00:24<00:04, 17.01it/s]
eval model::  86%|████████▋ | 432/500 [00:24<00:03, 17.00it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 19.08it/s]
eval model::  88%|████████▊ | 438/500 [00:25<00:03, 20.35it/s]
eval model::  88%|████████▊ | 441/500 [00:25<00:02, 19.73it/s]
eval model::  89%|████████▉ | 444/500 [00:25<00:02, 21.56it/s]
eval model::  89%|████████▉ | 447/500 [00:25<00:02, 22.69it/s]
eval model::  90%|█████████ | 450/500 [00:25<00:02, 20.35it/s]
eval model::  91%|█████████ | 453/500 [00:25<00:02, 22.43it/s]
eval model::  91%|█████████ | 456/500 [00:25<00:01, 22.56it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:01, 23.12it/s]
eval model::  92%|█████████▏| 462/500 [00:26<00:01, 19.55it/s]
eval model::  93%|█████████▎| 465/500 [00:26<00:01, 18.77it/s]
eval model::  93%|█████████▎| 467/500 [00:26<00:01, 18.55it/s]
eval model::  94%|█████████▍| 470/500 [00:26<00:01, 20.87it/s]
eval model::  95%|█████████▍| 473/500 [00:26<00:01, 21.71it/s]
eval model::  95%|█████████▌| 476/500 [00:26<00:01, 21.63it/s]
eval model::  96%|█████████▌| 479/500 [00:26<00:00, 23.53it/s]
eval model::  96%|█████████▋| 482/500 [00:27<00:00, 23.43it/s]
eval model::  97%|█████████▋| 486/500 [00:27<00:00, 22.43it/s]
eval model::  98%|█████████▊| 490/500 [00:27<00:00, 25.08it/s]
eval model::  99%|█████████▊| 493/500 [00:27<00:00, 21.24it/s]
eval model::  99%|█████████▉| 496/500 [00:27<00:00, 21.19it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 24.22it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 17.96it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:32, 15.33it/s]
eval model::   1%|          | 5/500 [00:00<00:25, 19.67it/s]
eval model::   1%|▏         | 7/500 [00:00<00:28, 17.16it/s]
eval model::   2%|▏         | 10/500 [00:00<00:25, 18.85it/s]
eval model::   3%|▎         | 13/500 [00:00<00:25, 18.82it/s]
eval model::   3%|▎         | 16/500 [00:00<00:23, 20.20it/s]
eval model::   4%|▍         | 19/500 [00:00<00:23, 20.39it/s]
eval model::   4%|▍         | 22/500 [00:01<00:24, 19.90it/s]
eval model::   5%|▌         | 25/500 [00:01<00:23, 19.93it/s]
eval model::   6%|▌         | 28/500 [00:01<00:22, 20.96it/s]
eval model::   6%|▌         | 31/500 [00:01<00:24, 19.11it/s]
eval model::   7%|▋         | 34/500 [00:01<00:23, 19.71it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.79it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 18.37it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.99it/s]
eval model::   9%|▉         | 46/500 [00:02<00:23, 18.94it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 19.43it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 20.69it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.61it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:24, 18.05it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:29, 15.04it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.96it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 18.90it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:19, 22.15it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:19, 22.20it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:19, 21.93it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:19, 21.34it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 21.15it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:22, 18.43it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:23, 17.28it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:25, 16.14it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.19it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.32it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.90it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.10it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.78it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.07it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:17, 21.66it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 21.84it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 20.70it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.69it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.19it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.58it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.89it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 16.98it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:19, 19.14it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 20.02it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.19it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.27it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:20, 17.40it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 18.96it/s]
eval model::  31%|███       | 153/500 [00:07<00:18, 18.64it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 20.70it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 20.29it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:24, 14.06it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:21, 15.86it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:18, 17.84it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:19, 17.19it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.48it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:16, 19.12it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:18, 17.54it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:15, 20.02it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:14, 21.45it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.61it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 21.42it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 20.67it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:13, 21.99it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 21.56it/s]
eval model::  41%|████      | 204/500 [00:10<00:12, 23.43it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:22, 13.18it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:20, 14.14it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.36it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.32it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 12.94it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 15.16it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:19, 14.29it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.66it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.61it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:11, 23.26it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:10, 24.10it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:10, 24.31it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:13, 19.00it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:12, 20.39it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 19.59it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 20.85it/s]
eval model::  51%|█████     | 255/500 [00:13<00:10, 22.55it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:10, 23.71it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:10, 23.27it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:11, 21.21it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:10, 21.28it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:11, 20.60it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:10, 20.93it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 18.16it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:10, 20.14it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:11, 19.71it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:18, 11.69it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:14, 14.28it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.37it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:14, 14.38it/s]
eval model::  60%|█████▉    | 298/500 [00:15<00:12, 16.80it/s]
eval model::  60%|██████    | 301/500 [00:16<00:11, 16.73it/s]
eval model::  61%|██████    | 304/500 [00:16<00:10, 18.77it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:09, 21.11it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:07, 24.23it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:07, 23.45it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 22.34it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 21.84it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 21.04it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:07, 23.45it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:07, 22.04it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 22.43it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 22.94it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 21.56it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:08, 17.57it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:07, 19.40it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:07, 19.67it/s]
eval model::  70%|███████   | 351/500 [00:18<00:06, 21.67it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 20.99it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 21.46it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:07, 17.44it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.54it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 16.16it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 17.87it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 18.35it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 20.79it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:04, 24.68it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 21.97it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 13.90it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 16.06it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 17.44it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:05, 19.51it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:04, 22.50it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 22.63it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 23.71it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:03, 23.32it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:03, 25.69it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 21.50it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 19.58it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:05, 15.26it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 15.62it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.21it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 18.18it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 18.07it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:02, 21.80it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 24.03it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 24.20it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 23.88it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 22.53it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 22.78it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:01, 23.16it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 23.66it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 21.58it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 18.99it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 17.03it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 16.55it/s]
eval model::  94%|█████████▍| 470/500 [00:24<00:01, 19.30it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 19.80it/s]
eval model::  95%|█████████▌| 476/500 [00:24<00:01, 20.96it/s]
eval model::  96%|█████████▌| 479/500 [00:24<00:00, 22.70it/s]
eval model::  96%|█████████▋| 482/500 [00:24<00:00, 21.87it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 22.78it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 23.94it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 19.35it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 20.29it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 21.60it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.48it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:52,  9.45it/s]
eval model::   1%|          | 3/500 [00:00<00:32, 15.34it/s]
eval model::   1%|          | 6/500 [00:00<00:27, 17.94it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.86it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.97it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 19.30it/s]
eval model::   4%|▎         | 18/500 [00:00<00:21, 22.17it/s]
eval model::   4%|▍         | 21/500 [00:01<00:23, 20.66it/s]
eval model::   5%|▍         | 24/500 [00:01<00:21, 22.10it/s]
eval model::   5%|▌         | 27/500 [00:01<00:24, 19.23it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 20.72it/s]
eval model::   7%|▋         | 33/500 [00:01<00:26, 17.58it/s]
eval model::   7%|▋         | 35/500 [00:01<00:27, 17.21it/s]
eval model::   8%|▊         | 38/500 [00:02<00:24, 18.83it/s]
eval model::   8%|▊         | 40/500 [00:02<00:26, 17.38it/s]
eval model::   8%|▊         | 42/500 [00:02<00:27, 16.43it/s]
eval model::   9%|▉         | 45/500 [00:02<00:25, 18.16it/s]
eval model::   9%|▉         | 47/500 [00:02<00:25, 17.85it/s]
eval model::  10%|█         | 50/500 [00:02<00:23, 19.43it/s]
eval model::  11%|█         | 53/500 [00:02<00:20, 21.50it/s]
eval model::  11%|█         | 56/500 [00:02<00:22, 20.10it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:24, 18.17it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:29, 14.95it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 15.03it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.85it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 20.40it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:19, 21.70it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 22.10it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.51it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.88it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.76it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.73it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:23, 17.34it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:24, 16.84it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:23, 17.31it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 19.03it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.93it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.79it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.22it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 20.75it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 21.50it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:16, 23.05it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:18, 20.77it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 20.83it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.82it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.02it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.41it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:23, 15.93it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:20, 17.47it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:19, 18.80it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.44it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:18, 19.74it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:20, 17.60it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 18.67it/s]
eval model::  30%|███       | 152/500 [00:07<00:19, 17.83it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 20.26it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 22.13it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:22, 14.77it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:20, 16.79it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 17.93it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:17, 19.22it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 18.03it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.22it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:18, 17.64it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.09it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.50it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.73it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 20.61it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.38it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 19.37it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.63it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.61it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:24, 11.87it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:22, 12.69it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:22, 12.99it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:20, 13.95it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.65it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:25, 10.99it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:21, 13.29it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:22, 12.12it/s]
eval model::  45%|████▌     | 225/500 [00:12<00:18, 15.27it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:15, 17.86it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:13, 19.96it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:13, 19.53it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:12, 20.95it/s]
eval model::  48%|████▊     | 240/500 [00:13<00:13, 19.90it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:15, 17.00it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:13, 19.03it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:13, 18.78it/s]
eval model::  50%|█████     | 252/500 [00:13<00:12, 19.67it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 20.72it/s]
eval model::  52%|█████▏    | 258/500 [00:14<00:11, 20.86it/s]
eval model::  52%|█████▏    | 262/500 [00:14<00:10, 23.37it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:10, 22.18it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:10, 22.86it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:10, 21.31it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:10, 20.86it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 18.40it/s]
eval model::  56%|█████▌    | 280/500 [00:15<00:11, 19.73it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:10, 20.79it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:17, 12.01it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:14, 14.49it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.79it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:14, 14.33it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:11, 17.81it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 16.86it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 17.17it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:10, 19.09it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.63it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:08, 21.20it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:08, 21.58it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 22.29it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 20.63it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 20.95it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 20.79it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.34it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:07, 22.30it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:07, 21.78it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:10, 15.68it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:08, 17.89it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:07, 19.37it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 20.17it/s]
eval model::  71%|███████   | 354/500 [00:19<00:06, 21.56it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:07, 20.14it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:07, 19.38it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 17.95it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:08, 16.73it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:08, 16.62it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:07, 18.39it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 18.19it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 20.16it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 21.75it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 20.93it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 23.01it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:08, 13.77it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:07, 15.62it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.40it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.09it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:04, 20.65it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 18.52it/s]
eval model::  81%|████████  | 404/500 [00:21<00:04, 19.26it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 19.95it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:03, 23.45it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 23.66it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 19.38it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:06, 12.44it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:06, 12.96it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 12.73it/s]
eval model::  85%|████████▌ | 427/500 [00:23<00:04, 15.33it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:04, 17.37it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 18.79it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:03, 20.94it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 22.15it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 20.91it/s]
eval model::  89%|████████▉ | 445/500 [00:24<00:02, 21.34it/s]
eval model::  90%|████████▉ | 448/500 [00:24<00:02, 21.57it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 22.27it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 22.85it/s]
eval model::  92%|█████████▏| 458/500 [00:24<00:01, 24.94it/s]
eval model::  92%|█████████▏| 461/500 [00:24<00:01, 22.91it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:01, 19.44it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:01, 16.93it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 19.12it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 18.67it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 20.56it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:00, 21.17it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 21.73it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 23.41it/s]
eval model::  98%|█████████▊| 488/500 [00:26<00:00, 23.13it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 21.74it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 19.28it/s]
eval model::  99%|█████████▉| 497/500 [00:26<00:00, 21.11it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.77it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:40, 12.19it/s]
eval model::   1%|          | 5/500 [00:00<00:26, 18.48it/s]
eval model::   1%|▏         | 7/500 [00:00<00:28, 17.48it/s]
eval model::   2%|▏         | 10/500 [00:00<00:25, 19.23it/s]
eval model::   2%|▏         | 12/500 [00:00<00:27, 18.04it/s]
eval model::   3%|▎         | 14/500 [00:00<00:30, 15.84it/s]
eval model::   3%|▎         | 17/500 [00:00<00:26, 18.24it/s]
eval model::   4%|▍         | 19/500 [00:01<00:26, 18.24it/s]
eval model::   4%|▍         | 21/500 [00:01<00:27, 17.60it/s]
eval model::   5%|▍         | 24/500 [00:01<00:24, 19.53it/s]
eval model::   5%|▌         | 26/500 [00:01<00:26, 18.17it/s]
eval model::   6%|▌         | 29/500 [00:01<00:24, 19.17it/s]
eval model::   6%|▌         | 31/500 [00:01<00:25, 18.05it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.58it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.64it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.65it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.06it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.40it/s]
eval model::  10%|▉         | 48/500 [00:02<00:23, 19.48it/s]
eval model::  10%|█         | 51/500 [00:02<00:21, 20.64it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 20.84it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:21, 20.85it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:21, 20.46it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.29it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.79it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 19.61it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 19.46it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 19.33it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:21, 19.80it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:20, 20.12it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:21, 19.72it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.28it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:23, 17.75it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:21, 19.25it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:21, 19.32it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.44it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:20, 19.32it/s]
eval model::  20%|██        | 100/500 [00:05<00:23, 17.29it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.26it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.33it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 21.81it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:17, 22.60it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:21, 18.04it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:19, 19.49it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.33it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.33it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.30it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 20.16it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 17.76it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.88it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.28it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.70it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 22.21it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 19.77it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.38it/s]
eval model::  31%|███       | 153/500 [00:07<00:17, 20.30it/s]
eval model::  31%|███       | 156/500 [00:08<00:15, 22.47it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:17, 19.76it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:24, 13.74it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:23, 14.44it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:20, 16.54it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:17, 18.37it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:17, 18.95it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:22, 14.48it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:19, 16.13it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:22, 14.20it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:21, 14.62it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:18, 17.22it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:18, 17.18it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:18, 17.16it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:15, 19.31it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:16, 18.53it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 20.53it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 21.93it/s]
eval model::  41%|████      | 205/500 [00:11<00:21, 13.70it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:19, 14.91it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:19, 14.91it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.64it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.38it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:22, 12.72it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:19, 14.07it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:20, 13.80it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:16, 16.63it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:14, 18.61it/s]
eval model::  46%|████▌     | 231/500 [00:12<00:11, 22.44it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:11, 23.29it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:10, 24.90it/s]
eval model::  48%|████▊     | 240/500 [00:13<00:10, 23.78it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:14, 18.22it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:13, 19.33it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 19.45it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 21.22it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 20.83it/s]
eval model::  52%|█████▏    | 258/500 [00:14<00:12, 19.66it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:11, 21.29it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:12, 18.86it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:12, 19.05it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:13, 17.51it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.79it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.83it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:11, 18.98it/s]
eval model::  56%|█████▌    | 280/500 [00:15<00:11, 18.95it/s]
eval model::  57%|█████▋    | 283/500 [00:15<00:10, 20.94it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:19, 11.14it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:15, 13.73it/s]
eval model::  58%|█████▊    | 292/500 [00:16<00:13, 15.53it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:15, 13.27it/s]
eval model::  60%|█████▉    | 298/500 [00:16<00:13, 15.53it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 14.85it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 15.69it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 16.05it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.59it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:09, 19.83it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:08, 21.20it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 20.23it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 22.49it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:07, 22.41it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:07, 23.90it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:07, 22.26it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:07, 21.93it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:07, 22.70it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 20.95it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.93it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 18.50it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:07, 20.61it/s]
eval model::  70%|███████   | 350/500 [00:18<00:06, 22.28it/s]
eval model::  71%|███████   | 354/500 [00:19<00:05, 25.00it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:06, 21.73it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:06, 22.49it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 19.03it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 16.88it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:07, 16.95it/s]
eval model::  74%|███████▍  | 370/500 [00:20<00:07, 17.33it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 17.72it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 19.83it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 20.90it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 20.52it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 20.24it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:07, 14.41it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 16.44it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 15.61it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:06, 17.30it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.50it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 20.34it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 22.28it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:03, 23.21it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 21.99it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 21.71it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:03, 20.97it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 14.82it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 17.06it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 16.59it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 19.52it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 20.21it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:02, 23.24it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:02, 21.22it/s]
eval model::  89%|████████▊ | 443/500 [00:23<00:02, 23.04it/s]
eval model::  89%|████████▉ | 446/500 [00:23<00:02, 23.60it/s]
eval model::  90%|████████▉ | 449/500 [00:24<00:02, 21.50it/s]
eval model::  90%|█████████ | 452/500 [00:24<00:02, 23.31it/s]
eval model::  91%|█████████ | 455/500 [00:24<00:01, 23.55it/s]
eval model::  92%|█████████▏| 458/500 [00:24<00:01, 24.84it/s]
eval model::  92%|█████████▏| 461/500 [00:24<00:01, 22.78it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:01, 19.96it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 17.09it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 18.44it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 19.05it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 19.13it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 18.59it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:01, 18.16it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:01, 17.44it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 19.67it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 21.03it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 18.16it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 19.79it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 22.07it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.78it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:57,  8.73it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.10it/s]
eval model::   1%|          | 6/500 [00:00<00:30, 15.96it/s]
eval model::   2%|▏         | 8/500 [00:00<00:31, 15.85it/s]
eval model::   2%|▏         | 10/500 [00:00<00:28, 16.92it/s]
eval model::   2%|▏         | 12/500 [00:00<00:27, 17.67it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.79it/s]
eval model::   4%|▎         | 18/500 [00:00<00:21, 22.33it/s]
eval model::   4%|▍         | 21/500 [00:01<00:23, 19.97it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.14it/s]
eval model::   5%|▌         | 27/500 [00:01<00:25, 18.50it/s]
eval model::   6%|▌         | 29/500 [00:01<00:25, 18.24it/s]
eval model::   6%|▌         | 31/500 [00:01<00:26, 17.74it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.39it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 19.66it/s]
eval model::   8%|▊         | 39/500 [00:02<00:25, 18.37it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.45it/s]
eval model::   9%|▉         | 44/500 [00:02<00:25, 17.70it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 17.04it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 18.86it/s]
eval model::  10%|█         | 51/500 [00:02<00:23, 19.07it/s]
eval model::  11%|█         | 53/500 [00:02<00:24, 18.23it/s]
eval model::  11%|█         | 56/500 [00:03<00:22, 19.70it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:22, 19.54it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 15.78it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:30, 14.35it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:26, 16.65it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 18.80it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.52it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 19.70it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.12it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.43it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:21, 19.38it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.46it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 18.33it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 17.85it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:23, 17.40it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:20, 19.36it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:20, 19.30it/s]
eval model::  20%|██        | 100/500 [00:05<00:23, 17.32it/s]
eval model::  21%|██        | 103/500 [00:05<00:20, 19.19it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.35it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 21.91it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 21.00it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:18, 20.85it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:17, 21.64it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:17, 21.87it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.52it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:20, 18.59it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:20, 18.30it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:20, 18.12it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.45it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 18.93it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:18, 19.50it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.49it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:19, 18.63it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:20, 16.97it/s]
eval model::  30%|███       | 150/500 [00:08<00:18, 18.47it/s]
eval model::  30%|███       | 152/500 [00:08<00:20, 16.97it/s]
eval model::  31%|███       | 156/500 [00:08<00:16, 21.17it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:15, 21.67it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:22, 14.92it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:21, 15.66it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:19, 17.27it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:17, 19.10it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:17, 18.79it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.76it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.70it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 16.46it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:16, 18.91it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:16, 18.84it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:15, 19.79it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 21.17it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.99it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.68it/s]
eval model::  41%|████      | 205/500 [00:11<00:23, 12.52it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:21, 13.52it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 14.10it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:19, 14.63it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.91it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.87it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:23, 12.25it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:20, 13.71it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:21, 12.81it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:17, 15.46it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.12it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 18.78it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 20.85it/s]
eval model::  47%|████▋     | 235/500 [00:13<00:12, 21.18it/s]
eval model::  48%|████▊     | 238/500 [00:13<00:12, 21.76it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:11, 22.98it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:12, 21.14it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:10, 23.21it/s]
eval model::  50%|█████     | 250/500 [00:13<00:11, 21.42it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 21.62it/s]
eval model::  51%|█████     | 256/500 [00:13<00:10, 22.22it/s]
eval model::  52%|█████▏    | 259/500 [00:14<00:10, 22.75it/s]
eval model::  52%|█████▏    | 262/500 [00:14<00:11, 20.85it/s]
eval model::  53%|█████▎    | 265/500 [00:14<00:11, 19.96it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:10, 21.22it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:12, 18.73it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:12, 18.60it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.33it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:11, 19.43it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 21.27it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 22.73it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 12.63it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.28it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:13, 15.50it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 13.56it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 14.99it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 15.67it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.46it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.36it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:09, 19.76it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:09, 20.58it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 20.06it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 21.10it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 20.40it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.41it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 19.65it/s]
eval model::  66%|██████▌   | 330/500 [00:18<00:08, 19.60it/s]
eval model::  66%|██████▋   | 332/500 [00:18<00:08, 19.26it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:07, 20.63it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 18.77it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 14.75it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 17.58it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:07, 20.30it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 21.48it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 21.55it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 20.11it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 19.47it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 17.58it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.04it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:08, 16.06it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:07, 17.56it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 17.94it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 21.42it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.22it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 22.95it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:07, 14.87it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 17.72it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:05, 17.91it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 17.56it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 18.31it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 17.04it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 18.94it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 20.47it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 21.95it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:03, 22.03it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:03, 22.04it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 19.80it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:06, 12.22it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:06, 12.37it/s]
eval model::  85%|████████▌ | 427/500 [00:23<00:04, 14.95it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:04, 17.07it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 17.45it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:03, 19.49it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 20.95it/s]
eval model::  88%|████████▊ | 442/500 [00:24<00:02, 20.68it/s]
eval model::  89%|████████▉ | 445/500 [00:24<00:02, 21.82it/s]
eval model::  90%|████████▉ | 448/500 [00:24<00:02, 21.68it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 19.76it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 21.51it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 21.98it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 22.98it/s]
eval model::  93%|█████████▎| 463/500 [00:25<00:02, 17.86it/s]
eval model::  93%|█████████▎| 466/500 [00:25<00:02, 16.47it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 16.57it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 20.09it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 20.91it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:00, 22.16it/s]
eval model::  96%|█████████▌| 481/500 [00:26<00:00, 23.47it/s]
eval model::  97%|█████████▋| 484/500 [00:26<00:00, 23.86it/s]
eval model::  97%|█████████▋| 487/500 [00:26<00:00, 22.63it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 23.50it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 20.50it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 20.89it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 24.42it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.63it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:43, 11.38it/s]
eval model::   1%|          | 5/500 [00:00<00:30, 16.30it/s]
eval model::   1%|▏         | 7/500 [00:00<00:30, 16.24it/s]
eval model::   2%|▏         | 9/500 [00:00<00:29, 16.60it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 17.09it/s]
eval model::   3%|▎         | 13/500 [00:00<00:27, 17.49it/s]
eval model::   3%|▎         | 15/500 [00:00<00:27, 17.45it/s]
eval model::   4%|▎         | 18/500 [00:01<00:24, 19.74it/s]
eval model::   4%|▍         | 20/500 [00:01<00:26, 18.05it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 19.89it/s]
eval model::   5%|▌         | 25/500 [00:01<00:24, 19.03it/s]
eval model::   5%|▌         | 27/500 [00:01<00:24, 18.94it/s]
eval model::   6%|▌         | 30/500 [00:01<00:23, 19.71it/s]
eval model::   6%|▋         | 32/500 [00:01<00:25, 18.25it/s]
eval model::   7%|▋         | 34/500 [00:01<00:26, 17.83it/s]
eval model::   7%|▋         | 37/500 [00:02<00:23, 19.94it/s]
eval model::   8%|▊         | 39/500 [00:02<00:27, 16.71it/s]
eval model::   8%|▊         | 41/500 [00:02<00:26, 17.02it/s]
eval model::   9%|▊         | 43/500 [00:02<00:29, 15.57it/s]
eval model::   9%|▉         | 46/500 [00:02<00:30, 14.71it/s]
eval model::  10%|▉         | 49/500 [00:02<00:25, 17.51it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 19.29it/s]
eval model::  11%|█         | 55/500 [00:03<00:21, 20.63it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:24, 17.96it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:27, 16.05it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.44it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 19.52it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 21.75it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 22.04it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:19, 21.46it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.47it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.82it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 20.39it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:23, 17.45it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:25, 16.15it/s]
eval model::  18%|█▊        | 92/500 [00:05<00:24, 16.48it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:23, 16.98it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:21, 18.66it/s]
eval model::  20%|██        | 100/500 [00:05<00:22, 17.94it/s]
eval model::  21%|██        | 103/500 [00:05<00:20, 19.55it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.06it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 21.64it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:17, 22.03it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:17, 21.66it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:16, 23.08it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:18, 20.18it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.18it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 17.83it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 18.69it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:21, 17.33it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:22, 16.39it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:20, 18.05it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.91it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.84it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.72it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:18, 19.10it/s]
eval model::  30%|███       | 151/500 [00:08<00:19, 17.85it/s]
eval model::  31%|███       | 154/500 [00:08<00:17, 19.56it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:16, 20.93it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:20, 16.43it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.47it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:18, 17.88it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:18, 18.05it/s]
eval model::  34%|███▍      | 169/500 [00:09<00:18, 17.86it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:20, 15.72it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:22, 14.62it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:22, 14.62it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.40it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:20, 15.54it/s]
eval model::  37%|███▋      | 184/500 [00:10<00:17, 17.81it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:17, 18.28it/s]
eval model::  38%|███▊      | 189/500 [00:10<00:16, 19.28it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:16, 18.79it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 20.93it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.17it/s]
eval model::  40%|████      | 200/500 [00:10<00:16, 18.38it/s]
eval model::  40%|████      | 202/500 [00:10<00:16, 18.22it/s]
eval model::  41%|████      | 205/500 [00:11<00:25, 11.50it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:22, 12.86it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:22, 13.15it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.57it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:22, 12.77it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:23, 12.05it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:21, 12.90it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:22, 12.41it/s]
eval model::  45%|████▍     | 223/500 [00:12<00:20, 13.48it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.39it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 20.46it/s]
eval model::  47%|████▋     | 233/500 [00:13<00:12, 21.86it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:12, 21.38it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:12, 21.12it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:15, 16.36it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:14, 18.13it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 19.88it/s]
eval model::  50%|█████     | 251/500 [00:14<00:12, 19.41it/s]
eval model::  51%|█████     | 254/500 [00:14<00:11, 20.68it/s]
eval model::  51%|█████▏    | 257/500 [00:14<00:11, 20.77it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:10, 22.11it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:10, 23.32it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:10, 23.02it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:10, 21.33it/s]
eval model::  54%|█████▍    | 272/500 [00:15<00:10, 20.73it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:12, 17.85it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:11, 19.71it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:11, 18.63it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 20.23it/s]
eval model::  57%|█████▋    | 287/500 [00:16<00:18, 11.31it/s]
eval model::  58%|█████▊    | 290/500 [00:16<00:15, 13.60it/s]
eval model::  58%|█████▊    | 292/500 [00:16<00:14, 14.20it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:13, 14.86it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 13.15it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 16.11it/s]
eval model::  60%|██████    | 301/500 [00:17<00:14, 14.19it/s]
eval model::  61%|██████    | 304/500 [00:17<00:12, 16.31it/s]
eval model::  62%|██████▏   | 308/500 [00:17<00:09, 19.90it/s]
eval model::  62%|██████▏   | 311/500 [00:17<00:09, 19.91it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:09, 19.95it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:08, 20.96it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 21.32it/s]
eval model::  65%|██████▍   | 323/500 [00:18<00:09, 19.43it/s]
eval model::  65%|██████▌   | 326/500 [00:18<00:09, 18.44it/s]
eval model::  66%|██████▌   | 328/500 [00:18<00:09, 18.67it/s]
eval model::  66%|██████▌   | 330/500 [00:18<00:09, 18.26it/s]
eval model::  67%|██████▋   | 333/500 [00:18<00:07, 20.96it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:07, 21.73it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:07, 21.65it/s]
eval model::  68%|██████▊   | 342/500 [00:19<00:09, 16.24it/s]
eval model::  69%|██████▉   | 345/500 [00:19<00:08, 17.70it/s]
eval model::  69%|██████▉   | 347/500 [00:19<00:08, 18.03it/s]
eval model::  70%|███████   | 350/500 [00:19<00:07, 20.74it/s]
eval model::  71%|███████   | 353/500 [00:19<00:06, 22.98it/s]
eval model::  71%|███████   | 356/500 [00:19<00:07, 20.27it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:06, 21.36it/s]
eval model::  72%|███████▏  | 362/500 [00:20<00:06, 19.96it/s]
eval model::  73%|███████▎  | 365/500 [00:20<00:06, 19.64it/s]
eval model::  74%|███████▎  | 368/500 [00:20<00:07, 17.73it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:06, 18.78it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:06, 18.86it/s]
eval model::  75%|███████▌  | 377/500 [00:20<00:05, 22.53it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 21.79it/s]
eval model::  77%|███████▋  | 384/500 [00:21<00:04, 23.26it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:08, 13.52it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:07, 15.48it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:07, 14.67it/s]
eval model::  79%|███████▉  | 395/500 [00:22<00:07, 14.55it/s]
eval model::  80%|███████▉  | 399/500 [00:22<00:05, 17.86it/s]
eval model::  80%|████████  | 402/500 [00:22<00:05, 17.92it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 18.03it/s]
eval model::  81%|████████▏ | 407/500 [00:22<00:04, 19.38it/s]
eval model::  82%|████████▏ | 410/500 [00:22<00:04, 21.41it/s]
eval model::  83%|████████▎ | 413/500 [00:22<00:04, 20.08it/s]
eval model::  83%|████████▎ | 416/500 [00:23<00:04, 18.96it/s]
eval model::  84%|████████▎ | 418/500 [00:23<00:04, 18.00it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:05, 13.53it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 14.24it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 13.12it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:05, 14.18it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 16.87it/s]
eval model::  86%|████████▌ | 431/500 [00:24<00:04, 16.80it/s]
eval model::  87%|████████▋ | 434/500 [00:24<00:03, 18.92it/s]
eval model::  87%|████████▋ | 437/500 [00:24<00:03, 20.86it/s]
eval model::  88%|████████▊ | 440/500 [00:24<00:03, 19.23it/s]
eval model::  89%|████████▊ | 443/500 [00:24<00:02, 20.95it/s]
eval model::  89%|████████▉ | 446/500 [00:24<00:02, 20.77it/s]
eval model::  90%|████████▉ | 449/500 [00:24<00:02, 18.80it/s]
eval model::  90%|█████████ | 452/500 [00:25<00:02, 20.23it/s]
eval model::  91%|█████████ | 455/500 [00:25<00:02, 21.61it/s]
eval model::  92%|█████████▏| 458/500 [00:25<00:01, 23.25it/s]
eval model::  92%|█████████▏| 461/500 [00:25<00:01, 23.54it/s]
eval model::  93%|█████████▎| 464/500 [00:25<00:01, 20.64it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:01, 18.71it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 21.80it/s]
eval model::  95%|█████████▍| 474/500 [00:26<00:01, 20.88it/s]
eval model::  95%|█████████▌| 477/500 [00:26<00:01, 22.84it/s]
eval model::  96%|█████████▌| 480/500 [00:26<00:00, 23.13it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 23.27it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 22.15it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 25.02it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 19.25it/s]
eval model::  99%|█████████▉| 496/500 [00:27<00:00, 20.17it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 24.08it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.37it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:52,  9.51it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.07it/s]
eval model::   1%|▏         | 7/500 [00:00<00:23, 21.01it/s]
eval model::   2%|▏         | 10/500 [00:00<00:25, 19.28it/s]
eval model::   2%|▏         | 12/500 [00:00<00:26, 18.55it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.79it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.81it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.92it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.40it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.30it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.75it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 20.19it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 19.45it/s]
eval model::   8%|▊         | 38/500 [00:01<00:22, 20.09it/s]
eval model::   8%|▊         | 41/500 [00:02<00:24, 18.42it/s]
eval model::   9%|▊         | 43/500 [00:02<00:27, 16.91it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 17.30it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 19.17it/s]
eval model::  10%|█         | 51/500 [00:02<00:24, 18.32it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 20.67it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:20, 21.64it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:21, 20.53it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.24it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.82it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.53it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 20.28it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:19, 21.64it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:18, 22.89it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 23.26it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.46it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.55it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:23, 17.61it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:22, 18.06it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:21, 18.97it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:19, 20.84it/s]
eval model::  20%|██        | 101/500 [00:05<00:21, 18.68it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 21.04it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 20.84it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:18, 20.64it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:18, 21.30it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:19, 19.65it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:19, 19.94it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:19, 19.77it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:21, 17.67it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:19, 19.16it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:21, 17.14it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 16.97it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.84it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:19, 18.98it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.82it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.01it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.51it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 19.22it/s]
eval model::  30%|███       | 152/500 [00:07<00:19, 17.95it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 19.76it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 21.23it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:24, 14.03it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:20, 16.35it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:19, 17.12it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:17, 18.47it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:17, 18.36it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:20, 15.60it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:18, 17.64it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:21, 14.89it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:18, 17.18it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 19.66it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.30it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 21.56it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 20.06it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 19.90it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.32it/s]
eval model::  41%|████      | 204/500 [00:10<00:14, 20.93it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:20, 13.98it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 14.41it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:19, 14.85it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.87it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.39it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:22, 12.53it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 15.64it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:19, 14.24it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:14, 18.74it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:11, 22.68it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 23.81it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:10, 24.29it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:10, 25.10it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 18.60it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 19.71it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.07it/s]
eval model::  50%|█████     | 251/500 [00:13<00:12, 20.53it/s]
eval model::  51%|█████     | 254/500 [00:13<00:10, 22.46it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:10, 22.10it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 20.40it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:12, 19.65it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:12, 19.00it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 19.05it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:11, 20.23it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.32it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.53it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 21.33it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 19.76it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:20, 10.64it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:16, 13.06it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:14, 14.04it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:14, 14.70it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:16, 12.43it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 14.74it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 16.62it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 17.10it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:10, 19.20it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 19.74it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 19.37it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:09, 19.80it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 21.17it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 19.86it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 21.16it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 21.13it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:07, 21.10it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 21.51it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:07, 21.50it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:09, 16.10it/s]
eval model::  69%|██████▉   | 344/500 [00:18<00:08, 18.02it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 18.69it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 20.20it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 21.98it/s]
eval model::  71%|███████   | 356/500 [00:19<00:07, 20.24it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:07, 19.05it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 17.57it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.96it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 15.88it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 17.25it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:07, 17.85it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:06, 18.31it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:06, 19.85it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:05, 21.78it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 20.08it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:05, 22.36it/s]
eval model::  78%|███████▊  | 388/500 [00:21<00:08, 13.69it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:06, 15.78it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 16.65it/s]
eval model::  79%|███████▉  | 397/500 [00:21<00:05, 18.32it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 18.00it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 17.78it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 19.13it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 19.66it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 20.71it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:04, 20.83it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 18.92it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 18.22it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:05, 13.99it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 15.20it/s]
eval model::  85%|████████▌ | 427/500 [00:23<00:04, 17.19it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 19.57it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 19.64it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:03, 19.80it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 20.63it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 20.23it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 21.34it/s]
eval model::  90%|████████▉ | 448/500 [00:24<00:02, 21.17it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 21.74it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 22.42it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 23.67it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 23.23it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 18.67it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 18.43it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 18.67it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 20.66it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 20.61it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 20.05it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:00, 20.75it/s]
eval model::  97%|█████████▋| 483/500 [00:25<00:00, 21.14it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 20.91it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 21.41it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 18.19it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 19.07it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 20.92it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.80it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:00,  8.18it/s]
eval model::   1%|          | 3/500 [00:00<00:39, 12.66it/s]
eval model::   1%|          | 6/500 [00:00<00:25, 19.08it/s]
eval model::   2%|▏         | 8/500 [00:00<00:29, 16.75it/s]
eval model::   2%|▏         | 10/500 [00:00<00:27, 17.56it/s]
eval model::   2%|▏         | 12/500 [00:00<00:28, 17.21it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.91it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.29it/s]
eval model::   4%|▍         | 20/500 [00:01<00:26, 18.25it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.38it/s]
eval model::   5%|▌         | 26/500 [00:01<00:26, 17.83it/s]
eval model::   6%|▌         | 29/500 [00:01<00:25, 18.69it/s]
eval model::   6%|▌         | 31/500 [00:01<00:27, 17.03it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.13it/s]
eval model::   7%|▋         | 36/500 [00:02<00:25, 18.23it/s]
eval model::   8%|▊         | 39/500 [00:02<00:27, 16.60it/s]
eval model::   8%|▊         | 42/500 [00:02<00:28, 16.31it/s]
eval model::   9%|▉         | 45/500 [00:02<00:25, 17.89it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 16.88it/s]
eval model::  10%|█         | 50/500 [00:02<00:24, 18.68it/s]
eval model::  11%|█         | 53/500 [00:02<00:23, 19.42it/s]
eval model::  11%|█         | 56/500 [00:03<00:21, 20.83it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:21, 20.51it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:26, 16.71it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:25, 16.87it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 19.04it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.33it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 21.14it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:20, 20.51it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:19, 21.61it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 23.12it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 22.37it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:23, 17.50it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:26, 15.42it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:25, 16.20it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 18.49it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.64it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.72it/s]
eval model::  21%|██        | 106/500 [00:05<00:16, 24.19it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:16, 23.03it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 21.36it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:18, 21.22it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:17, 22.18it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:18, 20.52it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 20.55it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 20.33it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:20, 17.65it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.21it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:18, 19.61it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:19, 18.23it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:19, 18.55it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.83it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 19.99it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:19, 18.40it/s]
eval model::  30%|███       | 151/500 [00:08<00:21, 16.33it/s]
eval model::  31%|███       | 153/500 [00:08<00:20, 16.92it/s]
eval model::  31%|███       | 155/500 [00:08<00:19, 17.38it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:18, 18.66it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:25, 13.39it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:22, 14.73it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:24, 13.87it/s]
eval model::  33%|███▎      | 167/500 [00:09<00:22, 14.82it/s]
eval model::  34%|███▍      | 170/500 [00:09<00:18, 17.56it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:19, 16.63it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:20, 15.60it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:21, 15.31it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.52it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:21, 14.93it/s]
eval model::  37%|███▋      | 183/500 [00:10<00:20, 15.61it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:18, 17.03it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:18, 17.00it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:17, 17.29it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:16, 18.91it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:17, 17.36it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:15, 18.99it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.11it/s]
eval model::  41%|████      | 204/500 [00:11<00:13, 21.37it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:22, 13.19it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 13.92it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 14.28it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 15.07it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:20, 13.63it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:22, 12.36it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:20, 13.55it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:23, 11.65it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:17, 15.32it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:15, 17.23it/s]
eval model::  46%|████▋     | 232/500 [00:13<00:14, 18.43it/s]
eval model::  47%|████▋     | 234/500 [00:13<00:15, 17.04it/s]
eval model::  47%|████▋     | 237/500 [00:13<00:14, 18.62it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:13, 18.72it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:13, 18.98it/s]
eval model::  49%|████▊     | 243/500 [00:13<00:15, 17.06it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 19.86it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:13, 18.96it/s]
eval model::  50%|█████     | 252/500 [00:14<00:12, 19.72it/s]
eval model::  51%|█████     | 255/500 [00:14<00:11, 20.83it/s]
eval model::  52%|█████▏    | 258/500 [00:14<00:11, 21.23it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:12, 18.67it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:11, 19.91it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 21.05it/s]
eval model::  54%|█████▍    | 270/500 [00:15<00:12, 18.98it/s]
eval model::  54%|█████▍    | 272/500 [00:15<00:12, 18.94it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:13, 17.12it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:11, 18.77it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 20.69it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 22.16it/s]
eval model::  57%|█████▋    | 287/500 [00:16<00:16, 12.85it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:12, 16.24it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:13, 15.38it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:15, 13.29it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 15.46it/s]
eval model::  60%|██████    | 301/500 [00:17<00:13, 15.07it/s]
eval model::  61%|██████    | 304/500 [00:17<00:11, 16.61it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:10, 18.19it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:10, 18.87it/s]
eval model::  62%|██████▏   | 312/500 [00:17<00:09, 19.00it/s]
eval model::  63%|██████▎   | 315/500 [00:17<00:09, 19.16it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:09, 18.53it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:10, 17.85it/s]
eval model::  64%|██████▍   | 322/500 [00:18<00:09, 17.97it/s]
eval model::  65%|██████▍   | 324/500 [00:18<00:09, 17.60it/s]
eval model::  65%|██████▌   | 326/500 [00:18<00:10, 16.87it/s]
eval model::  66%|██████▌   | 329/500 [00:18<00:09, 18.31it/s]
eval model::  66%|██████▋   | 332/500 [00:18<00:07, 21.01it/s]
eval model::  67%|██████▋   | 336/500 [00:18<00:07, 22.87it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:07, 20.93it/s]
eval model::  68%|██████▊   | 342/500 [00:19<00:10, 15.05it/s]
eval model::  69%|██████▉   | 344/500 [00:19<00:10, 14.91it/s]
eval model::  69%|██████▉   | 347/500 [00:19<00:08, 17.00it/s]
eval model::  70%|███████   | 351/500 [00:19<00:07, 20.74it/s]
eval model::  71%|███████   | 355/500 [00:19<00:07, 20.58it/s]
eval model::  72%|███████▏  | 358/500 [00:20<00:08, 17.57it/s]
eval model::  72%|███████▏  | 360/500 [00:20<00:07, 17.77it/s]
eval model::  72%|███████▏  | 362/500 [00:20<00:09, 15.07it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:09, 14.67it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:09, 13.67it/s]
eval model::  74%|███████▎  | 368/500 [00:20<00:09, 14.56it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:07, 16.41it/s]
eval model::  75%|███████▍  | 374/500 [00:21<00:06, 19.37it/s]
eval model::  76%|███████▌  | 378/500 [00:21<00:05, 23.00it/s]
eval model::  76%|███████▌  | 381/500 [00:21<00:05, 22.60it/s]
eval model::  77%|███████▋  | 384/500 [00:21<00:04, 23.94it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:07, 14.58it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 16.55it/s]
eval model::  79%|███████▊  | 393/500 [00:22<00:06, 17.11it/s]
eval model::  79%|███████▉  | 396/500 [00:22<00:05, 18.05it/s]
eval model::  80%|███████▉  | 399/500 [00:22<00:05, 19.24it/s]
eval model::  80%|████████  | 402/500 [00:22<00:05, 19.19it/s]
eval model::  81%|████████  | 405/500 [00:22<00:04, 20.71it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 21.03it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:03, 22.39it/s]
eval model::  83%|████████▎ | 414/500 [00:23<00:03, 23.04it/s]
eval model::  83%|████████▎ | 417/500 [00:23<00:04, 20.61it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:05, 14.37it/s]
eval model::  84%|████████▍ | 422/500 [00:23<00:05, 15.09it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 15.08it/s]
eval model::  85%|████████▌ | 427/500 [00:23<00:04, 17.32it/s]
eval model::  86%|████████▌ | 430/500 [00:24<00:03, 18.94it/s]
eval model::  87%|████████▋ | 433/500 [00:24<00:03, 18.18it/s]
eval model::  87%|████████▋ | 436/500 [00:24<00:03, 18.77it/s]
eval model::  88%|████████▊ | 439/500 [00:24<00:02, 21.21it/s]
eval model::  88%|████████▊ | 442/500 [00:24<00:02, 21.01it/s]
eval model::  89%|████████▉ | 445/500 [00:24<00:02, 21.38it/s]
eval model::  90%|████████▉ | 448/500 [00:24<00:02, 19.43it/s]
eval model::  90%|█████████ | 451/500 [00:25<00:02, 19.94it/s]
eval model::  91%|█████████ | 454/500 [00:25<00:02, 19.24it/s]
eval model::  91%|█████████▏| 457/500 [00:25<00:02, 18.58it/s]
eval model::  92%|█████████▏| 459/500 [00:25<00:02, 17.81it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:02, 17.68it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:02, 16.50it/s]
eval model::  93%|█████████▎| 467/500 [00:26<00:02, 16.28it/s]
eval model::  94%|█████████▍| 471/500 [00:26<00:01, 19.91it/s]
eval model::  95%|█████████▍| 474/500 [00:26<00:01, 21.00it/s]
eval model::  95%|█████████▌| 477/500 [00:26<00:01, 21.15it/s]
eval model::  96%|█████████▌| 480/500 [00:26<00:00, 21.10it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 21.39it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 19.59it/s]
eval model::  98%|█████████▊| 489/500 [00:27<00:00, 21.51it/s]
eval model::  98%|█████████▊| 492/500 [00:27<00:00, 19.40it/s]
eval model::  99%|█████████▉| 495/500 [00:27<00:00, 21.13it/s]
eval model:: 100%|█████████▉| 499/500 [00:27<00:00, 24.15it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 18.17it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:53,  9.38it/s]
eval model::   1%|          | 3/500 [00:00<00:32, 15.40it/s]
eval model::   1%|          | 5/500 [00:00<00:30, 16.18it/s]
eval model::   1%|▏         | 7/500 [00:00<00:28, 17.26it/s]
eval model::   2%|▏         | 10/500 [00:00<00:26, 18.52it/s]
eval model::   2%|▏         | 12/500 [00:00<00:28, 16.88it/s]
eval model::   3%|▎         | 15/500 [00:00<00:26, 18.37it/s]
eval model::   4%|▎         | 18/500 [00:00<00:24, 19.82it/s]
eval model::   4%|▍         | 20/500 [00:01<00:26, 18.39it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.71it/s]
eval model::   5%|▌         | 25/500 [00:01<00:26, 18.05it/s]
eval model::   6%|▌         | 28/500 [00:01<00:23, 20.16it/s]
eval model::   6%|▌         | 31/500 [00:01<00:24, 19.02it/s]
eval model::   7%|▋         | 34/500 [00:01<00:23, 19.58it/s]
eval model::   7%|▋         | 37/500 [00:01<00:22, 20.88it/s]
eval model::   8%|▊         | 40/500 [00:02<00:26, 17.47it/s]
eval model::   8%|▊         | 42/500 [00:02<00:29, 15.54it/s]
eval model::   9%|▉         | 44/500 [00:02<00:28, 16.21it/s]
eval model::   9%|▉         | 46/500 [00:02<00:29, 15.31it/s]
eval model::  10%|▉         | 49/500 [00:02<00:25, 17.72it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 18.93it/s]
eval model::  11%|█         | 55/500 [00:03<00:21, 20.59it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:22, 19.95it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:28, 15.56it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.85it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:25, 16.79it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:22, 19.30it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.59it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 19.33it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:20, 20.17it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.35it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.06it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.25it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 18.47it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:21, 18.60it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:20, 19.90it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:20, 19.72it/s]
eval model::  20%|██        | 100/500 [00:05<00:22, 17.85it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 19.89it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.61it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:19, 20.29it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 20.94it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:19, 19.59it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:19, 19.97it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.16it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.55it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:21, 17.78it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 18.59it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:21, 17.30it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:22, 16.22it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:19, 18.26it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 20.04it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:16, 22.00it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.09it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:18, 18.68it/s]
eval model::  30%|███       | 151/500 [00:08<00:19, 17.48it/s]
eval model::  31%|███       | 154/500 [00:08<00:18, 18.88it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:16, 20.24it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:24, 13.82it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:22, 15.26it/s]
eval model::  33%|███▎      | 165/500 [00:09<00:20, 16.04it/s]
eval model::  34%|███▎      | 168/500 [00:09<00:18, 17.59it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:19, 16.65it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:20, 15.92it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:21, 15.27it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.31it/s]
eval model::  36%|███▌      | 181/500 [00:10<00:20, 15.49it/s]
eval model::  37%|███▋      | 184/500 [00:10<00:18, 17.53it/s]
eval model::  37%|███▋      | 187/500 [00:10<00:16, 19.19it/s]
eval model::  38%|███▊      | 190/500 [00:10<00:15, 20.55it/s]
eval model::  39%|███▊      | 193/500 [00:10<00:14, 21.70it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:15, 20.04it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 21.48it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 21.42it/s]
eval model::  41%|████      | 205/500 [00:11<00:21, 13.94it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:19, 15.24it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 15.42it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.76it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.96it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:20, 13.74it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:19, 14.72it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:20, 13.64it/s]
eval model::  45%|████▍     | 223/500 [00:12<00:18, 14.93it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.45it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 20.95it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.26it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:13, 19.61it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:12, 20.17it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 18.33it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 19.84it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 20.84it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 21.79it/s]
eval model::  51%|█████     | 254/500 [00:13<00:10, 22.86it/s]
eval model::  51%|█████▏    | 257/500 [00:14<00:10, 23.51it/s]
eval model::  52%|█████▏    | 261/500 [00:14<00:10, 23.79it/s]
eval model::  53%|█████▎    | 264/500 [00:14<00:11, 20.71it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:12, 19.40it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:12, 18.76it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 19.33it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:12, 18.46it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:10, 20.19it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:09, 22.16it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 22.60it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:17, 11.94it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:14, 14.53it/s]
eval model::  59%|█████▊    | 293/500 [00:16<00:12, 16.11it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:14, 13.86it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 15.60it/s]
eval model::  60%|██████    | 301/500 [00:16<00:14, 14.12it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.33it/s]
eval model::  61%|██████▏   | 307/500 [00:17<00:11, 16.86it/s]
eval model::  62%|██████▏   | 310/500 [00:17<00:10, 18.95it/s]
eval model::  63%|██████▎   | 313/500 [00:17<00:09, 20.38it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:09, 19.94it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.79it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 20.32it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 21.76it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 21.42it/s]
eval model::  66%|██████▌   | 331/500 [00:18<00:08, 20.02it/s]
eval model::  67%|██████▋   | 334/500 [00:18<00:07, 21.38it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 22.22it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.03it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.61it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 19.13it/s]
eval model::  70%|██████▉   | 349/500 [00:19<00:07, 20.79it/s]
eval model::  70%|███████   | 352/500 [00:19<00:06, 22.05it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.97it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 21.45it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.09it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.23it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:07, 17.57it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:06, 19.28it/s]
eval model::  74%|███████▍  | 372/500 [00:20<00:07, 16.72it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 18.37it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 20.73it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 21.13it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 23.04it/s]
eval model::  77%|███████▋  | 387/500 [00:21<00:08, 13.67it/s]
eval model::  78%|███████▊  | 390/500 [00:21<00:06, 15.84it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:06, 16.52it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 17.76it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:05, 19.27it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 19.14it/s]
eval model::  81%|████████  | 405/500 [00:22<00:04, 20.70it/s]
eval model::  82%|████████▏ | 408/500 [00:22<00:04, 19.92it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 19.87it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:04, 20.07it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 18.53it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 18.84it/s]
eval model::  84%|████████▍ | 421/500 [00:23<00:06, 12.91it/s]
eval model::  85%|████████▍ | 424/500 [00:23<00:05, 14.43it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 15.16it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:03, 18.22it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 18.08it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 20.12it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 21.48it/s]
eval model::  88%|████████▊ | 441/500 [00:24<00:02, 20.95it/s]
eval model::  89%|████████▉ | 444/500 [00:24<00:02, 22.22it/s]
eval model::  89%|████████▉ | 447/500 [00:24<00:02, 23.10it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 20.64it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.98it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 22.18it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 22.94it/s]
eval model::  92%|█████████▏| 462/500 [00:25<00:01, 20.05it/s]
eval model::  93%|█████████▎| 465/500 [00:25<00:01, 18.77it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 20.17it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 22.27it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 21.15it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 21.63it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:01, 19.35it/s]
eval model::  97%|█████████▋| 483/500 [00:26<00:00, 19.63it/s]
eval model::  97%|█████████▋| 486/500 [00:26<00:00, 17.27it/s]
eval model::  98%|█████████▊| 489/500 [00:26<00:00, 18.01it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 17.26it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 17.73it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 19.71it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.53it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:38, 12.89it/s]
eval model::   1%|          | 6/500 [00:00<00:23, 21.14it/s]
eval model::   2%|▏         | 9/500 [00:00<00:24, 19.78it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 19.20it/s]
eval model::   3%|▎         | 13/500 [00:00<00:25, 19.27it/s]
eval model::   3%|▎         | 16/500 [00:00<00:23, 20.98it/s]
eval model::   4%|▍         | 19/500 [00:00<00:24, 20.04it/s]
eval model::   4%|▍         | 22/500 [00:01<00:23, 19.93it/s]
eval model::   5%|▌         | 25/500 [00:01<00:25, 18.76it/s]
eval model::   5%|▌         | 27/500 [00:01<00:25, 18.81it/s]
eval model::   6%|▌         | 30/500 [00:01<00:23, 20.08it/s]
eval model::   7%|▋         | 33/500 [00:01<00:24, 19.16it/s]
eval model::   7%|▋         | 35/500 [00:01<00:26, 17.84it/s]
eval model::   8%|▊         | 38/500 [00:01<00:24, 19.19it/s]
eval model::   8%|▊         | 40/500 [00:02<00:25, 18.35it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.35it/s]
eval model::   9%|▉         | 44/500 [00:02<00:25, 17.93it/s]
eval model::   9%|▉         | 46/500 [00:02<00:27, 16.49it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 18.95it/s]
eval model::  10%|█         | 51/500 [00:02<00:23, 19.03it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 21.22it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:20, 21.37it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:22, 19.82it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:29, 14.90it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 17.38it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:23, 18.39it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 19.73it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:21, 19.81it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.55it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 23.06it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.31it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 20.79it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:21, 18.70it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:21, 18.59it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:22, 17.94it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:21, 18.51it/s]
eval model::  20%|██        | 100/500 [00:05<00:22, 17.95it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.36it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.69it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.09it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:16, 23.07it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:16, 23.13it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:15, 24.48it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:16, 22.53it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 20.33it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:17, 20.80it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:21, 17.28it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:22, 16.59it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:19, 19.08it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.23it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:16, 21.22it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.89it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 19.76it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.12it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 20.88it/s]
eval model::  31%|███       | 156/500 [00:07<00:15, 22.68it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:15, 22.49it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:21, 16.06it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:19, 17.37it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 18.79it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 18.79it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:20, 15.93it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:20, 16.12it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.13it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:19, 16.76it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:17, 18.23it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 19.62it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:14, 21.12it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:14, 21.58it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:15, 19.21it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 21.33it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 21.11it/s]
eval model::  41%|████      | 205/500 [00:10<00:24, 12.13it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:21, 13.64it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:20, 14.03it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.33it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.30it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:22, 12.56it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 14.78it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:21, 13.13it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.81it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 20.51it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 20.86it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 19.89it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 20.95it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:15, 16.95it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:14, 17.42it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:14, 17.47it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:14, 17.57it/s]
eval model::  50%|█████     | 252/500 [00:13<00:13, 18.75it/s]
eval model::  51%|█████     | 254/500 [00:13<00:13, 18.76it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:12, 19.81it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 20.80it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:10, 22.65it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:10, 23.22it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:11, 20.92it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:10, 21.55it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 20.08it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.56it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 21.39it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:09, 21.72it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:17, 12.13it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:14, 14.70it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:12, 16.28it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:14, 13.64it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 15.98it/s]
eval model::  60%|██████    | 302/500 [00:16<00:12, 15.99it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 15.99it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 17.68it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 20.18it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:09, 20.33it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 20.08it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:08, 20.51it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:09, 19.06it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:08, 20.34it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 19.93it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 19.93it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:08, 19.87it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 19.23it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:08, 19.28it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:11, 14.35it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:10, 14.78it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.40it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:08, 17.91it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 20.17it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.08it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 20.45it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 18.26it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.87it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 17.20it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:07, 17.14it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:07, 18.16it/s]
eval model::  75%|███████▍  | 374/500 [00:20<00:06, 20.64it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 23.77it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 21.99it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:04, 23.52it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:07, 15.18it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 17.06it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:05, 18.27it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 19.40it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 20.36it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 18.84it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.09it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 20.90it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 22.09it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 21.95it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 19.78it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 13.93it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 14.70it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 14.50it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 15.56it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 18.88it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 19.51it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:03, 18.56it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:03, 19.96it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 20.96it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 22.66it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 19.40it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 19.76it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 20.95it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 21.96it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 21.48it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 17.39it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 15.56it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 17.07it/s]
eval model::  94%|█████████▍| 471/500 [00:25<00:01, 19.57it/s]
eval model::  95%|█████████▍| 474/500 [00:25<00:01, 19.11it/s]
eval model::  95%|█████████▌| 477/500 [00:25<00:01, 19.21it/s]
eval model::  96%|█████████▌| 480/500 [00:25<00:01, 18.62it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 18.90it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 20.60it/s]
eval model::  98%|█████████▊| 488/500 [00:26<00:00, 21.25it/s]
eval model::  98%|█████████▊| 491/500 [00:26<00:00, 20.72it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 19.34it/s]
eval model::  99%|█████████▉| 497/500 [00:26<00:00, 21.46it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.81it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:37, 13.40it/s]
eval model::   1%|          | 5/500 [00:00<00:27, 18.10it/s]
eval model::   1%|▏         | 7/500 [00:00<00:28, 17.60it/s]
eval model::   2%|▏         | 9/500 [00:00<00:27, 18.03it/s]
eval model::   2%|▏         | 11/500 [00:00<00:30, 15.99it/s]
eval model::   3%|▎         | 13/500 [00:00<00:28, 16.95it/s]
eval model::   3%|▎         | 15/500 [00:00<00:27, 17.63it/s]
eval model::   4%|▍         | 19/500 [00:01<00:22, 21.54it/s]
eval model::   4%|▍         | 22/500 [00:01<00:24, 19.84it/s]
eval model::   5%|▌         | 25/500 [00:01<00:24, 19.40it/s]
eval model::   5%|▌         | 27/500 [00:01<00:24, 19.33it/s]
eval model::   6%|▌         | 30/500 [00:01<00:22, 20.96it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.46it/s]
eval model::   7%|▋         | 36/500 [00:01<00:23, 19.42it/s]
eval model::   8%|▊         | 38/500 [00:02<00:23, 19.36it/s]
eval model::   8%|▊         | 40/500 [00:02<00:28, 16.39it/s]
eval model::   8%|▊         | 42/500 [00:02<00:29, 15.77it/s]
eval model::   9%|▉         | 45/500 [00:02<00:25, 17.82it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 17.09it/s]
eval model::  10%|█         | 50/500 [00:02<00:24, 18.04it/s]
eval model::  11%|█         | 53/500 [00:02<00:22, 19.61it/s]
eval model::  11%|█         | 56/500 [00:03<00:22, 19.77it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 19.01it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:23, 19.04it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:30, 14.44it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:28, 15.47it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:23, 18.23it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:21, 19.85it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:21, 19.99it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:19, 22.07it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:18, 22.47it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:17, 23.87it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:16, 24.59it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:19, 20.97it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.59it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:21, 18.55it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:20, 19.54it/s]
eval model::  20%|██        | 100/500 [00:05<00:23, 17.15it/s]
eval model::  21%|██        | 103/500 [00:05<00:21, 18.30it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.09it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:19, 19.61it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:20, 19.28it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:20, 18.68it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 20.44it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:18, 20.21it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.53it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.24it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 18.64it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:21, 17.21it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:23, 15.90it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:20, 17.67it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.77it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:19, 18.84it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:18, 19.12it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:19, 18.10it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:19, 17.61it/s]
eval model::  30%|███       | 150/500 [00:07<00:19, 18.18it/s]
eval model::  30%|███       | 152/500 [00:08<00:20, 17.02it/s]
eval model::  31%|███       | 155/500 [00:08<00:17, 19.38it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:15, 21.85it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:22, 14.79it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:20, 16.77it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:16, 20.01it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:16, 20.14it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.26it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.75it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.41it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:18, 17.20it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:15, 19.78it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:15, 20.31it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:14, 21.09it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:13, 22.66it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:15, 19.71it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 21.29it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 21.90it/s]
eval model::  41%|████      | 206/500 [00:11<00:20, 14.33it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:19, 15.02it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:18, 15.27it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:16, 17.01it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.91it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 12.96it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:18, 15.14it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:19, 13.94it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.74it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.84it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 22.18it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 21.15it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 21.97it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 17.69it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 18.92it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 19.74it/s]
eval model::  50%|█████     | 251/500 [00:13<00:13, 18.90it/s]
eval model::  51%|█████     | 254/500 [00:13<00:12, 18.92it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:12, 19.72it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 21.39it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:10, 21.79it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:10, 21.29it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:13, 17.72it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 18.42it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 17.33it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.18it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 20.16it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:10, 20.21it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:18, 11.63it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:13, 15.50it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:13, 15.60it/s]
eval model::  59%|█████▉    | 297/500 [00:16<00:13, 15.11it/s]
eval model::  60%|██████    | 300/500 [00:16<00:12, 15.97it/s]
eval model::  61%|██████    | 303/500 [00:16<00:10, 18.09it/s]
eval model::  61%|██████    | 306/500 [00:16<00:09, 19.47it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:08, 22.20it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:08, 22.34it/s]
eval model::  63%|██████▎   | 316/500 [00:17<00:08, 21.63it/s]
eval model::  64%|██████▍   | 319/500 [00:17<00:07, 22.68it/s]
eval model::  64%|██████▍   | 322/500 [00:17<00:08, 20.64it/s]
eval model::  65%|██████▌   | 325/500 [00:17<00:07, 22.24it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 21.20it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 19.18it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:08, 19.95it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:08, 19.41it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:08, 18.76it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:11, 14.39it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:10, 15.26it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:08, 18.74it/s]
eval model::  70%|███████   | 350/500 [00:18<00:07, 20.95it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 24.23it/s]
eval model::  71%|███████▏  | 357/500 [00:19<00:07, 19.70it/s]
eval model::  72%|███████▏  | 360/500 [00:19<00:06, 20.35it/s]
eval model::  73%|███████▎  | 363/500 [00:19<00:07, 17.29it/s]
eval model::  73%|███████▎  | 365/500 [00:19<00:08, 16.16it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:09, 14.08it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:07, 16.94it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:06, 18.62it/s]
eval model::  75%|███████▌  | 377/500 [00:20<00:05, 22.36it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 20.10it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 21.07it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:07, 15.10it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 17.40it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:05, 18.78it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 20.02it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:04, 22.12it/s]
eval model::  80%|████████  | 401/500 [00:21<00:04, 20.72it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 23.37it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:03, 23.21it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 22.63it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 22.94it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 20.15it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 14.37it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 16.09it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:05, 14.76it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:04, 16.51it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:04, 16.33it/s]
eval model::  87%|████████▋ | 434/500 [00:23<00:03, 18.28it/s]
eval model::  87%|████████▋ | 437/500 [00:23<00:03, 20.24it/s]
eval model::  88%|████████▊ | 440/500 [00:23<00:03, 19.48it/s]
eval model::  89%|████████▊ | 443/500 [00:23<00:02, 21.70it/s]
eval model::  89%|████████▉ | 446/500 [00:23<00:02, 21.33it/s]
eval model::  90%|████████▉ | 449/500 [00:24<00:02, 19.86it/s]
eval model::  90%|█████████ | 452/500 [00:24<00:02, 22.03it/s]
eval model::  91%|█████████ | 455/500 [00:24<00:02, 22.37it/s]
eval model::  92%|█████████▏| 458/500 [00:24<00:01, 24.02it/s]
eval model::  92%|█████████▏| 461/500 [00:24<00:01, 23.01it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:01, 19.24it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 17.91it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 19.89it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 19.92it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 20.60it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:00, 21.90it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 21.62it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 22.18it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 21.25it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 18.23it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 18.07it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 18.33it/s]
eval model:: 100%|█████████▉| 499/500 [00:26<00:00, 20.76it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.89it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:56,  8.90it/s]
eval model::   1%|          | 3/500 [00:00<00:33, 14.98it/s]
eval model::   1%|          | 6/500 [00:00<00:26, 18.54it/s]
eval model::   2%|▏         | 9/500 [00:00<00:24, 20.23it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.70it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 19.43it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.68it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.67it/s]
eval model::   5%|▍         | 23/500 [00:01<00:20, 22.72it/s]
eval model::   5%|▌         | 26/500 [00:01<00:20, 22.91it/s]
eval model::   6%|▌         | 29/500 [00:01<00:19, 23.67it/s]
eval model::   6%|▋         | 32/500 [00:01<00:20, 22.29it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 20.05it/s]
eval model::   8%|▊         | 38/500 [00:01<00:23, 19.91it/s]
eval model::   8%|▊         | 41/500 [00:02<00:24, 18.72it/s]
eval model::   9%|▊         | 43/500 [00:02<00:26, 17.13it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 17.20it/s]
eval model::  10%|▉         | 49/500 [00:02<00:22, 19.87it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 21.30it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.85it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:23, 19.07it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:28, 15.49it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:30, 14.11it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:23, 18.28it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 20.51it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 21.15it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 22.03it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:18, 22.40it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.65it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 20.95it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 19.82it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:25, 16.28it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:24, 16.83it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:21, 18.54it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.19it/s]
eval model::  20%|██        | 102/500 [00:05<00:21, 18.86it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.79it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.97it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:17, 22.52it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:17, 21.90it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:16, 23.06it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:17, 21.85it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:18, 19.74it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:17, 21.78it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:18, 20.12it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:18, 19.58it/s]
eval model::  27%|██▋       | 137/500 [00:06<00:18, 19.48it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:18, 19.44it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 21.03it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.44it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:18, 18.61it/s]
eval model::  30%|███       | 151/500 [00:07<00:21, 16.34it/s]
eval model::  31%|███       | 155/500 [00:07<00:17, 19.42it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:16, 21.13it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:22, 15.19it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:19, 16.86it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 19.00it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 20.51it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:17, 18.27it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:22, 14.17it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:20, 15.82it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:24, 13.25it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:19, 15.99it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:17, 17.75it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:16, 19.19it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:13, 22.62it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:16, 18.49it/s]
eval model::  40%|████      | 200/500 [00:10<00:15, 19.55it/s]
eval model::  41%|████      | 203/500 [00:10<00:14, 20.85it/s]
eval model::  41%|████      | 206/500 [00:11<00:25, 11.74it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:23, 12.48it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:22, 12.80it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.48it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.02it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:23, 11.94it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:19, 14.36it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:21, 12.96it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.68it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 21.03it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:11, 22.84it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 21.86it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 23.59it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:13, 18.89it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 20.35it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 21.94it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 20.78it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.55it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:10, 22.45it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:09, 24.07it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:10, 23.25it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:11, 20.88it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 19.64it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 20.38it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:12, 17.95it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 18.57it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 19.83it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:18, 11.60it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 12.64it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 16.10it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.12it/s]
eval model::  59%|█████▉    | 296/500 [00:16<00:14, 13.79it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:12, 16.37it/s]
eval model::  60%|██████    | 301/500 [00:16<00:13, 14.88it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 16.96it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 20.69it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:08, 21.80it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:08, 21.94it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:08, 22.78it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:07, 23.99it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 21.78it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 20.90it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 19.54it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 20.52it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 21.74it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:08, 18.22it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:11, 14.06it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:09, 16.45it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.63it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:08, 17.79it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 19.20it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 21.12it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 20.31it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:08, 16.18it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.55it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 15.39it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 17.07it/s]
eval model::  74%|███████▍  | 371/500 [00:20<00:07, 17.45it/s]
eval model::  75%|███████▍  | 374/500 [00:20<00:06, 18.63it/s]
eval model::  75%|███████▌  | 377/500 [00:20<00:05, 20.64it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 20.50it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 22.07it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:08, 13.90it/s]
eval model::  78%|███████▊  | 389/500 [00:21<00:06, 16.44it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:06, 16.99it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 18.28it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 21.11it/s]
eval model::  80%|████████  | 402/500 [00:21<00:05, 19.59it/s]
eval model::  81%|████████  | 405/500 [00:21<00:04, 20.59it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:04, 20.28it/s]
eval model::  82%|████████▏ | 411/500 [00:22<00:04, 21.42it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 22.27it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 20.36it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:05, 13.65it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 15.66it/s]
eval model::  85%|████████▌ | 425/500 [00:23<00:05, 14.84it/s]
eval model::  86%|████████▌ | 428/500 [00:23<00:04, 16.93it/s]
eval model::  86%|████████▌ | 431/500 [00:23<00:03, 18.13it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:02, 21.74it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 23.58it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 22.61it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 22.85it/s]
eval model::  90%|████████▉ | 448/500 [00:24<00:02, 22.16it/s]
eval model::  90%|█████████ | 451/500 [00:24<00:02, 21.65it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:02, 22.83it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 24.54it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 22.75it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 17.65it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 16.43it/s]
eval model::  93%|█████████▎| 467/500 [00:25<00:02, 16.09it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 18.65it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 18.67it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 17.72it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 20.14it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 20.25it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 21.30it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 21.45it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 22.86it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 19.02it/s]
eval model::  99%|█████████▉| 496/500 [00:26<00:00, 18.57it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 22.27it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.79it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:50,  9.80it/s]
eval model::   1%|          | 3/500 [00:00<00:33, 14.69it/s]
eval model::   1%|          | 6/500 [00:00<00:29, 16.99it/s]
eval model::   2%|▏         | 8/500 [00:00<00:29, 16.86it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.62it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 18.90it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.80it/s]
eval model::   4%|▍         | 19/500 [00:01<00:24, 19.57it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 19.08it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.24it/s]
eval model::   5%|▌         | 27/500 [00:01<00:24, 19.14it/s]
eval model::   6%|▌         | 30/500 [00:01<00:24, 19.32it/s]
eval model::   6%|▋         | 32/500 [00:01<00:25, 18.47it/s]
eval model::   7%|▋         | 35/500 [00:01<00:26, 17.66it/s]
eval model::   7%|▋         | 37/500 [00:02<00:26, 17.16it/s]
eval model::   8%|▊         | 39/500 [00:02<00:31, 14.52it/s]
eval model::   8%|▊         | 42/500 [00:02<00:31, 14.66it/s]
eval model::   9%|▉         | 45/500 [00:02<00:27, 16.39it/s]
eval model::   9%|▉         | 47/500 [00:02<00:29, 15.14it/s]
eval model::  10%|▉         | 49/500 [00:02<00:28, 16.06it/s]
eval model::  10%|█         | 52/500 [00:02<00:25, 17.57it/s]
eval model::  11%|█         | 54/500 [00:03<00:25, 17.52it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:22, 19.27it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:23, 18.59it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:29, 14.76it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:31, 13.69it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:26, 16.51it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:25, 16.79it/s]
eval model::  14%|█▍        | 70/500 [00:04<00:26, 16.44it/s]
eval model::  15%|█▍        | 73/500 [00:04<00:23, 18.22it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:20, 20.42it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:20, 21.01it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.30it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 22.53it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 19.62it/s]
eval model::  18%|█▊        | 91/500 [00:05<00:24, 16.71it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:24, 16.84it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:22, 18.30it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:21, 18.40it/s]
eval model::  20%|██        | 101/500 [00:05<00:23, 17.07it/s]
eval model::  21%|██        | 104/500 [00:05<00:21, 18.75it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:19, 20.42it/s]
eval model::  22%|██▏       | 110/500 [00:06<00:19, 19.89it/s]
eval model::  23%|██▎       | 113/500 [00:06<00:18, 20.77it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:18, 20.25it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:17, 21.67it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:17, 21.20it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:20, 18.32it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:20, 18.52it/s]
eval model::  26%|██▌       | 129/500 [00:07<00:20, 18.13it/s]
eval model::  26%|██▌       | 131/500 [00:07<00:22, 16.75it/s]
eval model::  27%|██▋       | 133/500 [00:07<00:22, 16.53it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:19, 18.36it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.31it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.07it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.06it/s]
eval model::  30%|██▉       | 148/500 [00:08<00:18, 18.80it/s]
eval model::  30%|███       | 151/500 [00:08<00:19, 17.63it/s]
eval model::  31%|███       | 155/500 [00:08<00:16, 20.56it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:15, 22.48it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:21, 15.42it/s]
eval model::  33%|███▎      | 165/500 [00:09<00:20, 16.38it/s]
eval model::  34%|███▎      | 168/500 [00:09<00:18, 18.13it/s]
eval model::  34%|███▍      | 171/500 [00:09<00:20, 15.84it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:21, 15.09it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:21, 15.07it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:18, 17.18it/s]
eval model::  36%|███▌      | 181/500 [00:10<00:21, 14.94it/s]
eval model::  37%|███▋      | 183/500 [00:10<00:19, 15.89it/s]
eval model::  37%|███▋      | 186/500 [00:10<00:18, 16.88it/s]
eval model::  38%|███▊      | 188/500 [00:10<00:18, 17.09it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:16, 18.84it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 20.06it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:13, 22.04it/s]
eval model::  40%|████      | 201/500 [00:11<00:13, 22.71it/s]
eval model::  41%|████      | 205/500 [00:11<00:20, 14.19it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:20, 14.64it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:19, 15.30it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:19, 15.18it/s]
eval model::  43%|████▎     | 213/500 [00:12<00:18, 15.23it/s]
eval model::  43%|████▎     | 215/500 [00:12<00:21, 13.41it/s]
eval model::  43%|████▎     | 217/500 [00:12<00:24, 11.45it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:22, 12.57it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:24, 11.36it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:19, 14.12it/s]
eval model::  45%|████▌     | 227/500 [00:13<00:16, 16.39it/s]
eval model::  46%|████▌     | 230/500 [00:13<00:13, 19.30it/s]
eval model::  47%|████▋     | 233/500 [00:13<00:13, 20.04it/s]
eval model::  47%|████▋     | 236/500 [00:13<00:13, 19.76it/s]
eval model::  48%|████▊     | 239/500 [00:13<00:12, 21.49it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 17.57it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:13, 18.92it/s]
eval model::  50%|████▉     | 248/500 [00:14<00:12, 19.79it/s]
eval model::  50%|█████     | 251/500 [00:14<00:12, 19.20it/s]
eval model::  51%|█████     | 254/500 [00:14<00:12, 20.34it/s]
eval model::  51%|█████▏    | 257/500 [00:14<00:12, 20.09it/s]
eval model::  52%|█████▏    | 260/500 [00:14<00:11, 20.71it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:11, 21.32it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:11, 19.51it/s]
eval model::  54%|█████▍    | 269/500 [00:15<00:12, 18.19it/s]
eval model::  54%|█████▍    | 272/500 [00:15<00:11, 19.63it/s]
eval model::  55%|█████▌    | 275/500 [00:15<00:11, 18.98it/s]
eval model::  56%|█████▌    | 278/500 [00:15<00:10, 20.82it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:09, 22.49it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:08, 24.07it/s]
eval model::  57%|█████▋    | 287/500 [00:16<00:16, 12.56it/s]
eval model::  58%|█████▊    | 291/500 [00:16<00:12, 16.37it/s]
eval model::  59%|█████▉    | 294/500 [00:16<00:13, 14.89it/s]
eval model::  59%|█████▉    | 297/500 [00:16<00:14, 14.14it/s]
eval model::  60%|██████    | 300/500 [00:17<00:13, 14.59it/s]
eval model::  60%|██████    | 302/500 [00:17<00:13, 14.98it/s]
eval model::  61%|██████    | 304/500 [00:17<00:12, 15.31it/s]
eval model::  62%|██████▏   | 308/500 [00:17<00:10, 19.05it/s]
eval model::  62%|██████▏   | 311/500 [00:17<00:08, 21.13it/s]
eval model::  63%|██████▎   | 314/500 [00:17<00:08, 21.20it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:08, 20.47it/s]
eval model::  64%|██████▍   | 320/500 [00:18<00:08, 20.23it/s]
eval model::  65%|██████▍   | 323/500 [00:18<00:08, 19.72it/s]
eval model::  65%|██████▌   | 326/500 [00:18<00:08, 19.65it/s]
eval model::  66%|██████▌   | 329/500 [00:18<00:09, 18.31it/s]
eval model::  66%|██████▋   | 332/500 [00:18<00:08, 19.35it/s]
eval model::  67%|██████▋   | 335/500 [00:18<00:07, 20.88it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:07, 20.42it/s]
eval model::  68%|██████▊   | 341/500 [00:19<00:11, 13.79it/s]
eval model::  69%|██████▉   | 344/500 [00:19<00:10, 15.22it/s]
eval model::  69%|██████▉   | 347/500 [00:19<00:09, 16.21it/s]
eval model::  70%|███████   | 350/500 [00:19<00:08, 17.90it/s]
eval model::  71%|███████   | 353/500 [00:19<00:07, 19.03it/s]
eval model::  71%|███████   | 356/500 [00:20<00:07, 18.74it/s]
eval model::  72%|███████▏  | 359/500 [00:20<00:07, 18.87it/s]
eval model::  72%|███████▏  | 361/500 [00:20<00:09, 15.28it/s]
eval model::  73%|███████▎  | 364/500 [00:20<00:08, 15.33it/s]
eval model::  73%|███████▎  | 366/500 [00:20<00:09, 14.73it/s]
eval model::  74%|███████▍  | 369/500 [00:20<00:08, 16.22it/s]
eval model::  74%|███████▍  | 371/500 [00:21<00:07, 16.51it/s]
eval model::  75%|███████▍  | 374/500 [00:21<00:06, 19.33it/s]
eval model::  75%|███████▌  | 377/500 [00:21<00:06, 20.45it/s]
eval model::  76%|███████▌  | 380/500 [00:21<00:06, 19.59it/s]
eval model::  77%|███████▋  | 383/500 [00:21<00:05, 21.26it/s]
eval model::  77%|███████▋  | 386/500 [00:21<00:08, 12.97it/s]
eval model::  78%|███████▊  | 388/500 [00:22<00:08, 13.79it/s]
eval model::  78%|███████▊  | 391/500 [00:22<00:06, 15.73it/s]
eval model::  79%|███████▊  | 393/500 [00:22<00:06, 16.46it/s]
eval model::  79%|███████▉  | 395/500 [00:22<00:06, 16.21it/s]
eval model::  80%|███████▉  | 398/500 [00:22<00:05, 19.27it/s]
eval model::  80%|████████  | 401/500 [00:22<00:05, 17.04it/s]
eval model::  81%|████████  | 404/500 [00:22<00:05, 18.84it/s]
eval model::  81%|████████▏ | 407/500 [00:23<00:04, 19.49it/s]
eval model::  82%|████████▏ | 410/500 [00:23<00:04, 21.62it/s]
eval model::  83%|████████▎ | 413/500 [00:23<00:04, 20.13it/s]
eval model::  83%|████████▎ | 416/500 [00:23<00:04, 18.87it/s]
eval model::  84%|████████▎ | 418/500 [00:23<00:04, 18.22it/s]
eval model::  84%|████████▍ | 420/500 [00:23<00:06, 12.63it/s]
eval model::  84%|████████▍ | 422/500 [00:24<00:05, 13.48it/s]
eval model::  85%|████████▍ | 424/500 [00:24<00:05, 13.40it/s]
eval model::  85%|████████▌ | 426/500 [00:24<00:05, 14.70it/s]
eval model::  86%|████████▌ | 429/500 [00:24<00:04, 16.59it/s]
eval model::  86%|████████▌ | 431/500 [00:24<00:04, 15.89it/s]
eval model::  87%|████████▋ | 435/500 [00:24<00:03, 19.32it/s]
eval model::  88%|████████▊ | 439/500 [00:24<00:02, 21.58it/s]
eval model::  88%|████████▊ | 442/500 [00:25<00:02, 20.52it/s]
eval model::  89%|████████▉ | 445/500 [00:25<00:02, 20.75it/s]
eval model::  90%|████████▉ | 448/500 [00:25<00:02, 18.10it/s]
eval model::  90%|█████████ | 451/500 [00:25<00:02, 19.84it/s]
eval model::  91%|█████████ | 454/500 [00:25<00:02, 21.20it/s]
eval model::  92%|█████████▏| 458/500 [00:25<00:01, 24.32it/s]
eval model::  92%|█████████▏| 461/500 [00:25<00:01, 24.60it/s]
eval model::  93%|█████████▎| 464/500 [00:26<00:01, 19.38it/s]
eval model::  93%|█████████▎| 467/500 [00:26<00:02, 16.27it/s]
eval model::  94%|█████████▍| 470/500 [00:26<00:01, 18.27it/s]
eval model::  95%|█████████▍| 473/500 [00:26<00:01, 19.23it/s]
eval model::  95%|█████████▌| 476/500 [00:26<00:01, 18.73it/s]
eval model::  96%|█████████▌| 479/500 [00:26<00:01, 19.49it/s]
eval model::  96%|█████████▋| 482/500 [00:27<00:00, 18.94it/s]
eval model::  97%|█████████▋| 485/500 [00:27<00:00, 20.61it/s]
eval model::  98%|█████████▊| 488/500 [00:27<00:00, 21.10it/s]
eval model::  98%|█████████▊| 491/500 [00:27<00:00, 20.68it/s]
eval model::  99%|█████████▉| 494/500 [00:27<00:00, 19.48it/s]
eval model::  99%|█████████▉| 497/500 [00:27<00:00, 21.27it/s]
eval model:: 100%|██████████| 500/500 [00:27<00:00, 17.94it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:57,  8.72it/s]
eval model::   1%|          | 4/500 [00:00<00:26, 18.42it/s]
eval model::   1%|          | 6/500 [00:00<00:32, 15.44it/s]
eval model::   2%|▏         | 8/500 [00:00<00:29, 16.57it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.66it/s]
eval model::   3%|▎         | 14/500 [00:00<00:28, 17.23it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.98it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.61it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.23it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 21.05it/s]
eval model::   6%|▌         | 29/500 [00:01<00:20, 22.68it/s]
eval model::   6%|▋         | 32/500 [00:01<00:21, 21.79it/s]
eval model::   7%|▋         | 35/500 [00:01<00:25, 18.12it/s]
eval model::   8%|▊         | 38/500 [00:02<00:24, 18.95it/s]
eval model::   8%|▊         | 41/500 [00:02<00:26, 17.58it/s]
eval model::   9%|▊         | 43/500 [00:02<00:27, 16.43it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 17.14it/s]
eval model::  10%|▉         | 49/500 [00:02<00:23, 19.34it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 20.47it/s]
eval model::  11%|█         | 56/500 [00:02<00:19, 22.60it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:21, 20.23it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:27, 15.85it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:27, 16.10it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:21, 19.75it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:21, 20.21it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:20, 20.48it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:19, 21.58it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:18, 22.92it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:17, 23.77it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:18, 22.53it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:21, 18.98it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:21, 19.30it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:21, 19.15it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:20, 20.09it/s]
eval model::  20%|██        | 101/500 [00:05<00:20, 19.18it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 20.04it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 21.36it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:18, 21.56it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:18, 21.42it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:17, 21.46it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:17, 21.71it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:18, 20.84it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:19, 19.63it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:17, 20.79it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 18.16it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:21, 17.24it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:18, 19.36it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.85it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:16, 21.29it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.44it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:18, 19.29it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 17.54it/s]
eval model::  31%|███       | 154/500 [00:07<00:17, 19.55it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:15, 21.65it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:24, 13.63it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:23, 14.63it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:20, 16.15it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:18, 18.22it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:17, 18.26it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:21, 15.10it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:20, 15.42it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:21, 15.20it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:18, 17.26it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:16, 18.76it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.24it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 21.02it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:14, 21.28it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:13, 22.30it/s]
eval model::  40%|████      | 201/500 [00:10<00:13, 21.91it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 22.59it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:21, 13.94it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 13.87it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 14.24it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.55it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.34it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:23, 12.20it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:19, 14.62it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.68it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 17.04it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 20.86it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 21.62it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:13, 20.30it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:13, 19.91it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:14, 17.39it/s]
eval model::  49%|████▉     | 246/500 [00:13<00:12, 20.31it/s]
eval model::  50%|████▉     | 249/500 [00:13<00:12, 19.77it/s]
eval model::  50%|█████     | 252/500 [00:13<00:11, 21.41it/s]
eval model::  51%|█████     | 255/500 [00:13<00:10, 22.31it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 22.23it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 23.46it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:10, 23.16it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:10, 22.36it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:10, 21.48it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 20.55it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 18.86it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.10it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.87it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:18, 11.80it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:16, 12.98it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:12, 17.13it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.59it/s]
eval model::  59%|█████▉    | 297/500 [00:16<00:13, 14.87it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 15.09it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 16.76it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 17.31it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 19.57it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.97it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 20.01it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:08, 21.08it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 21.53it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 19.98it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 21.28it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 19.94it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 20.69it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:07, 22.79it/s]
eval model::  68%|██████▊   | 338/500 [00:18<00:07, 21.55it/s]
eval model::  68%|██████▊   | 341/500 [00:18<00:09, 16.14it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:10, 15.31it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 17.56it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 19.60it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 21.05it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 20.19it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:07, 20.13it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:08, 17.08it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:08, 16.94it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 15.95it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 17.74it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 18.82it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 22.10it/s]
eval model::  76%|███████▌  | 379/500 [00:20<00:05, 23.55it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 21.61it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:05, 22.77it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:08, 13.59it/s]
eval model::  78%|███████▊  | 391/500 [00:21<00:07, 15.36it/s]
eval model::  79%|███████▉  | 394/500 [00:21<00:06, 16.63it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 20.15it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 18.49it/s]
eval model::  81%|████████  | 404/500 [00:21<00:05, 18.61it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 19.51it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 22.45it/s]
eval model::  83%|████████▎ | 414/500 [00:22<00:03, 23.39it/s]
eval model::  83%|████████▎ | 417/500 [00:22<00:04, 20.73it/s]
eval model::  84%|████████▍ | 420/500 [00:22<00:06, 13.07it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:05, 13.89it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 13.90it/s]
eval model::  85%|████████▌ | 426/500 [00:23<00:04, 14.84it/s]
eval model::  86%|████████▌ | 429/500 [00:23<00:04, 17.66it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 18.72it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 20.89it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 22.67it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 20.74it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 22.40it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 22.02it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 19.92it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 21.29it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 23.39it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 23.07it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 18.94it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 18.86it/s]
eval model::  94%|█████████▎| 468/500 [00:25<00:01, 18.18it/s]
eval model::  94%|█████████▍| 472/500 [00:25<00:01, 20.98it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 20.30it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 19.87it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 21.59it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 21.28it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 19.99it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 20.57it/s]
eval model::  99%|█████████▊| 493/500 [00:26<00:00, 17.74it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 17.11it/s]
eval model:: 100%|█████████▉| 498/500 [00:26<00:00, 19.81it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.83it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:59,  8.42it/s]
eval model::   1%|          | 3/500 [00:00<00:36, 13.49it/s]
eval model::   1%|          | 5/500 [00:00<00:33, 14.77it/s]
eval model::   2%|▏         | 8/500 [00:00<00:32, 14.92it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 17.14it/s]
eval model::   3%|▎         | 13/500 [00:00<00:27, 17.76it/s]
eval model::   3%|▎         | 15/500 [00:00<00:30, 15.70it/s]
eval model::   4%|▎         | 18/500 [00:01<00:25, 18.91it/s]
eval model::   4%|▍         | 20/500 [00:01<00:27, 17.71it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.14it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 19.43it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 21.31it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.38it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 19.90it/s]
eval model::   8%|▊         | 38/500 [00:02<00:22, 20.58it/s]
eval model::   8%|▊         | 41/500 [00:02<00:21, 21.15it/s]
eval model::   9%|▉         | 44/500 [00:02<00:22, 19.83it/s]
eval model::   9%|▉         | 47/500 [00:02<00:23, 19.48it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 20.54it/s]
eval model::  11%|█         | 53/500 [00:02<00:19, 22.40it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 20.90it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:21, 20.20it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:29, 15.04it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:27, 15.84it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:21, 19.68it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:20, 20.47it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:21, 19.94it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:19, 21.31it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:18, 22.27it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 21.77it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:21, 19.20it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:23, 17.67it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:23, 17.72it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:23, 17.57it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:22, 18.08it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:20, 19.84it/s]
eval model::  20%|██        | 101/500 [00:05<00:20, 19.53it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 20.70it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:17, 22.55it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:17, 22.09it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:17, 21.88it/s]
eval model::  23%|██▎       | 116/500 [00:06<00:19, 19.73it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:18, 20.88it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:18, 20.79it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:20, 18.32it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:18, 19.95it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:19, 18.97it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:18, 19.66it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 18.90it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.02it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:18, 19.04it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.84it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.27it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 20.72it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 21.14it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:13, 24.84it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:21, 15.92it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 17.47it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:16, 19.79it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:15, 21.72it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:15, 21.49it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:16, 20.12it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:16, 20.02it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:16, 19.13it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:15, 20.39it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:14, 21.24it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:13, 22.23it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:12, 24.98it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:13, 22.03it/s]
eval model::  40%|████      | 200/500 [00:10<00:13, 22.85it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 22.03it/s]
eval model::  41%|████      | 206/500 [00:10<00:20, 14.41it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:21, 13.87it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:20, 14.05it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.88it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:19, 14.61it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:21, 13.37it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 15.62it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:19, 14.12it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:15, 17.90it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:12, 22.40it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:11, 23.47it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:09, 26.39it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:10, 23.91it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:12, 20.37it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:12, 20.85it/s]
eval model::  50%|█████     | 250/500 [00:12<00:13, 18.83it/s]
eval model::  51%|█████     | 253/500 [00:13<00:12, 19.99it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 20.86it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:11, 21.47it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:10, 21.73it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:11, 20.15it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:10, 21.31it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:10, 20.94it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:11, 19.62it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:12, 18.51it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 18.65it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 19.83it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:19, 11.08it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:16, 13.00it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:13, 15.51it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.25it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:14, 14.42it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 17.27it/s]
eval model::  60%|██████    | 302/500 [00:15<00:11, 16.79it/s]
eval model::  61%|██████    | 304/500 [00:16<00:11, 17.09it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 20.75it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:08, 22.35it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:08, 22.38it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:07, 23.89it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:07, 23.62it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:07, 23.06it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:07, 24.14it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:07, 22.06it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 22.71it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 22.86it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 21.73it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:09, 16.52it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:08, 18.31it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:08, 18.62it/s]
eval model::  70%|███████   | 351/500 [00:18<00:07, 20.76it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 20.95it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 20.98it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:07, 19.39it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:06, 19.53it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.13it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:06, 18.93it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 19.29it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 21.49it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:05, 21.69it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:04, 24.34it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:07, 16.02it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 17.40it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:06, 17.65it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 18.53it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:04, 20.33it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 20.62it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 21.92it/s]
eval model::  82%|████████▏ | 408/500 [00:21<00:03, 23.34it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 24.70it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 23.78it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:04, 20.29it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:05, 13.84it/s]
eval model::  85%|████████▍ | 423/500 [00:22<00:04, 15.59it/s]
eval model::  85%|████████▌ | 425/500 [00:22<00:05, 13.95it/s]
eval model::  86%|████████▌ | 428/500 [00:22<00:04, 16.51it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 17.64it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:03, 20.94it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 22.49it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 22.63it/s]
eval model::  89%|████████▉ | 446/500 [00:23<00:02, 24.88it/s]
eval model::  90%|████████▉ | 449/500 [00:23<00:02, 23.20it/s]
eval model::  90%|█████████ | 452/500 [00:23<00:01, 24.30it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:01, 24.78it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:01, 21.78it/s]
eval model::  92%|█████████▏| 461/500 [00:23<00:01, 21.10it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:02, 17.63it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:02, 16.44it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 16.43it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 18.79it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 18.39it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 21.57it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 21.81it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 22.70it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 21.27it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 20.29it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 18.83it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 18.93it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 20.03it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.42it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:41, 12.05it/s]
eval model::   1%|          | 5/500 [00:00<00:28, 17.52it/s]
eval model::   1%|▏         | 7/500 [00:00<00:26, 18.38it/s]
eval model::   2%|▏         | 9/500 [00:00<00:28, 17.47it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 16.87it/s]
eval model::   3%|▎         | 14/500 [00:00<00:27, 17.98it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.75it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.82it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 20.80it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 20.61it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 20.85it/s]
eval model::   6%|▋         | 32/500 [00:01<00:25, 18.32it/s]
eval model::   7%|▋         | 34/500 [00:01<00:25, 18.10it/s]
eval model::   7%|▋         | 37/500 [00:01<00:24, 19.17it/s]
eval model::   8%|▊         | 39/500 [00:02<00:26, 17.66it/s]
eval model::   8%|▊         | 41/500 [00:02<00:25, 18.00it/s]
eval model::   9%|▊         | 43/500 [00:02<00:28, 15.97it/s]
eval model::   9%|▉         | 46/500 [00:02<00:26, 17.26it/s]
eval model::  10%|▉         | 49/500 [00:02<00:22, 19.62it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 20.39it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.75it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:22, 19.98it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.37it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:27, 15.89it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 19.91it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:21, 19.77it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:22, 19.31it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:20, 20.44it/s]
eval model::  16%|█▌        | 79/500 [00:04<00:20, 20.44it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:20, 20.13it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:21, 18.98it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:22, 18.19it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:24, 16.92it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:25, 16.29it/s]
eval model::  19%|█▊        | 93/500 [00:05<00:26, 15.40it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:25, 15.90it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:23, 16.88it/s]
eval model::  20%|██        | 100/500 [00:05<00:24, 16.48it/s]
eval model::  21%|██        | 103/500 [00:05<00:21, 18.43it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 20.00it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 20.77it/s]
eval model::  22%|██▏       | 112/500 [00:06<00:19, 20.28it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:19, 20.08it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:17, 22.04it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.67it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 19.82it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 19.69it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 18.59it/s]
eval model::  26%|██▋       | 132/500 [00:07<00:20, 17.92it/s]
eval model::  27%|██▋       | 135/500 [00:07<00:19, 19.13it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:18, 19.22it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:18, 19.93it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.50it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 20.21it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:17, 19.95it/s]
eval model::  30%|███       | 152/500 [00:08<00:18, 19.26it/s]
eval model::  31%|███       | 155/500 [00:08<00:15, 21.61it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:14, 23.22it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:21, 15.93it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:18, 18.19it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 19.61it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 21.45it/s]
eval model::  35%|███▍      | 173/500 [00:09<00:17, 18.86it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:19, 16.42it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:17, 18.10it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:19, 16.45it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:17, 18.42it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 18.87it/s]
eval model::  38%|███▊      | 191/500 [00:10<00:16, 18.70it/s]
eval model::  39%|███▉      | 194/500 [00:10<00:14, 20.46it/s]
eval model::  39%|███▉      | 197/500 [00:10<00:15, 18.99it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 20.67it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 21.25it/s]
eval model::  41%|████      | 206/500 [00:11<00:21, 13.63it/s]
eval model::  42%|████▏     | 208/500 [00:11<00:21, 13.89it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:20, 13.81it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:19, 14.66it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:22, 12.64it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:23, 12.28it/s]
eval model::  44%|████▍     | 219/500 [00:12<00:20, 13.62it/s]
eval model::  44%|████▍     | 221/500 [00:12<00:21, 13.18it/s]
eval model::  45%|████▍     | 224/500 [00:12<00:17, 15.58it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 16.51it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:13, 19.61it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 21.98it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:13, 20.24it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 20.95it/s]
eval model::  48%|████▊     | 241/500 [00:13<00:12, 20.99it/s]
eval model::  49%|████▉     | 244/500 [00:13<00:13, 18.94it/s]
eval model::  49%|████▉     | 247/500 [00:13<00:12, 19.94it/s]
eval model::  50%|█████     | 250/500 [00:13<00:12, 19.82it/s]
eval model::  51%|█████     | 253/500 [00:13<00:12, 20.27it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 21.76it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:09, 24.68it/s]
eval model::  53%|█████▎    | 263/500 [00:14<00:09, 25.40it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:09, 24.09it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:10, 21.61it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:10, 21.99it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.62it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.65it/s]
eval model::  56%|█████▌    | 281/500 [00:15<00:10, 20.57it/s]
eval model::  57%|█████▋    | 284/500 [00:15<00:09, 21.74it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:17, 12.28it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:13, 16.07it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:13, 15.69it/s]
eval model::  59%|█████▉    | 297/500 [00:16<00:13, 14.65it/s]
eval model::  60%|██████    | 300/500 [00:16<00:13, 15.11it/s]
eval model::  61%|██████    | 303/500 [00:16<00:11, 16.85it/s]
eval model::  61%|██████    | 305/500 [00:16<00:11, 17.32it/s]
eval model::  62%|██████▏   | 308/500 [00:16<00:09, 19.61it/s]
eval model::  62%|██████▏   | 311/500 [00:16<00:09, 20.70it/s]
eval model::  63%|██████▎   | 314/500 [00:16<00:09, 20.17it/s]
eval model::  63%|██████▎   | 317/500 [00:17<00:08, 21.07it/s]
eval model::  64%|██████▍   | 320/500 [00:17<00:08, 21.33it/s]
eval model::  65%|██████▍   | 323/500 [00:17<00:08, 19.77it/s]
eval model::  65%|██████▌   | 326/500 [00:17<00:08, 19.51it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 19.27it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.02it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 22.23it/s]
eval model::  67%|██████▋   | 337/500 [00:18<00:07, 21.23it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:10, 15.66it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 18.00it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:07, 19.75it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 21.43it/s]
eval model::  70%|███████   | 352/500 [00:18<00:06, 21.95it/s]
eval model::  71%|███████   | 355/500 [00:19<00:06, 20.90it/s]
eval model::  72%|███████▏  | 358/500 [00:19<00:06, 20.74it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:07, 17.92it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.36it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 16.68it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.13it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:07, 18.08it/s]
eval model::  75%|███████▍  | 373/500 [00:20<00:06, 18.49it/s]
eval model::  75%|███████▌  | 376/500 [00:20<00:05, 20.83it/s]
eval model::  76%|███████▌  | 380/500 [00:20<00:05, 20.99it/s]
eval model::  77%|███████▋  | 383/500 [00:20<00:05, 23.07it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:07, 16.26it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 18.24it/s]
eval model::  78%|███████▊  | 392/500 [00:21<00:05, 19.52it/s]
eval model::  79%|███████▉  | 395/500 [00:21<00:05, 20.83it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:04, 22.83it/s]
eval model::  80%|████████  | 401/500 [00:21<00:05, 19.29it/s]
eval model::  81%|████████  | 404/500 [00:21<00:04, 20.27it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 21.31it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:03, 23.20it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:04, 21.62it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:04, 20.60it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 19.69it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:06, 12.70it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:06, 12.50it/s]
eval model::  85%|████████▌ | 427/500 [00:23<00:04, 15.10it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:04, 16.85it/s]
eval model::  86%|████████▋ | 432/500 [00:23<00:03, 17.03it/s]
eval model::  87%|████████▋ | 435/500 [00:23<00:03, 19.77it/s]
eval model::  88%|████████▊ | 438/500 [00:23<00:02, 21.91it/s]
eval model::  88%|████████▊ | 441/500 [00:23<00:02, 22.12it/s]
eval model::  89%|████████▉ | 444/500 [00:23<00:02, 23.61it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 23.86it/s]
eval model::  90%|█████████ | 450/500 [00:24<00:02, 20.49it/s]
eval model::  91%|█████████ | 453/500 [00:24<00:02, 22.31it/s]
eval model::  91%|█████████ | 456/500 [00:24<00:01, 23.14it/s]
eval model::  92%|█████████▏| 459/500 [00:24<00:01, 23.10it/s]
eval model::  92%|█████████▏| 462/500 [00:24<00:01, 19.13it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:01, 17.79it/s]
eval model::  93%|█████████▎| 467/500 [00:24<00:01, 17.86it/s]
eval model::  94%|█████████▍| 470/500 [00:25<00:01, 20.35it/s]
eval model::  95%|█████████▍| 473/500 [00:25<00:01, 19.53it/s]
eval model::  95%|█████████▌| 476/500 [00:25<00:01, 20.82it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:01, 19.91it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 18.56it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 19.88it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 18.07it/s]
eval model::  98%|█████████▊| 490/500 [00:26<00:00, 18.28it/s]
eval model::  98%|█████████▊| 492/500 [00:26<00:00, 14.81it/s]
eval model::  99%|█████████▉| 494/500 [00:26<00:00, 15.62it/s]
eval model::  99%|█████████▉| 497/500 [00:26<00:00, 18.19it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 18.78it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:59,  8.39it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.62it/s]
eval model::   1%|          | 6/500 [00:00<00:31, 15.72it/s]
eval model::   2%|▏         | 8/500 [00:00<00:30, 16.19it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 17.17it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.18it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.43it/s]
eval model::   4%|▍         | 20/500 [00:01<00:23, 20.66it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 20.76it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.44it/s]
eval model::   6%|▌         | 29/500 [00:01<00:20, 22.50it/s]
eval model::   6%|▋         | 32/500 [00:01<00:25, 18.63it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 18.61it/s]
eval model::   8%|▊         | 38/500 [00:01<00:23, 19.57it/s]
eval model::   8%|▊         | 41/500 [00:02<00:24, 18.98it/s]
eval model::   9%|▊         | 43/500 [00:02<00:28, 16.31it/s]
eval model::   9%|▉         | 46/500 [00:02<00:27, 16.31it/s]
eval model::  10%|█         | 50/500 [00:02<00:23, 19.17it/s]
eval model::  11%|█         | 53/500 [00:02<00:22, 19.95it/s]
eval model::  11%|█         | 56/500 [00:02<00:22, 19.49it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.93it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:28, 15.24it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:28, 15.56it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:24, 18.08it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 19.71it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.64it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 19.77it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:19, 21.84it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 22.97it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.66it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 20.58it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 17.98it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:22, 18.04it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:21, 18.45it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:21, 18.75it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:19, 20.26it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.41it/s]
eval model::  21%|██        | 106/500 [00:05<00:17, 22.17it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 21.15it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 21.07it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:18, 21.33it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:17, 21.30it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:18, 20.26it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 19.79it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.24it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.90it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:19, 19.00it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:20, 17.97it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:18, 19.55it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.23it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:19, 18.87it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.14it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 19.85it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:18, 18.59it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 18.29it/s]
eval model::  31%|███       | 154/500 [00:07<00:16, 20.93it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:15, 22.15it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:23, 14.18it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:21, 15.39it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:18, 17.68it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:17, 18.70it/s]
eval model::  34%|███▍      | 172/500 [00:09<00:18, 17.89it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:21, 15.24it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:18, 17.34it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:19, 16.50it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 18.87it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.44it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.61it/s]
eval model::  38%|███▊      | 192/500 [00:10<00:14, 21.18it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 19.94it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.93it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 20.40it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.69it/s]
eval model::  41%|████▏     | 207/500 [00:11<00:21, 13.47it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:20, 14.15it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:20, 13.97it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:20, 14.03it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:21, 13.03it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:23, 11.83it/s]
eval model::  44%|████▍     | 220/500 [00:12<00:19, 14.50it/s]
eval model::  44%|████▍     | 222/500 [00:12<00:20, 13.29it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:16, 17.01it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:14, 19.21it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:13, 20.48it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:13, 19.98it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 22.81it/s]
eval model::  48%|████▊     | 242/500 [00:13<00:13, 19.62it/s]
eval model::  49%|████▉     | 245/500 [00:13<00:12, 20.62it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:11, 22.21it/s]
eval model::  50%|█████     | 251/500 [00:13<00:11, 21.96it/s]
eval model::  51%|█████     | 255/500 [00:13<00:10, 23.65it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 23.17it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 23.85it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:10, 22.84it/s]
eval model::  53%|█████▎    | 267/500 [00:14<00:10, 21.56it/s]
eval model::  54%|█████▍    | 270/500 [00:14<00:11, 19.62it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 19.77it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:12, 17.29it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:12, 17.45it/s]
eval model::  56%|█████▋    | 282/500 [00:15<00:11, 18.25it/s]
eval model::  57%|█████▋    | 285/500 [00:15<00:19, 10.93it/s]
eval model::  58%|█████▊    | 288/500 [00:15<00:15, 13.27it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.57it/s]
eval model::  59%|█████▉    | 295/500 [00:16<00:14, 14.56it/s]
eval model::  60%|█████▉    | 299/500 [00:16<00:11, 18.22it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 17.35it/s]
eval model::  61%|██████    | 305/500 [00:16<00:10, 18.38it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:08, 21.22it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:08, 21.07it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:08, 20.69it/s]
eval model::  64%|██████▎   | 318/500 [00:17<00:08, 21.83it/s]
eval model::  64%|██████▍   | 321/500 [00:17<00:08, 21.45it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:08, 21.01it/s]
eval model::  65%|██████▌   | 327/500 [00:17<00:07, 21.89it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 20.04it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 21.89it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 22.24it/s]
eval model::  68%|██████▊   | 339/500 [00:18<00:07, 20.42it/s]
eval model::  68%|██████▊   | 342/500 [00:18<00:11, 14.24it/s]
eval model::  69%|██████▉   | 345/500 [00:18<00:09, 16.38it/s]
eval model::  69%|██████▉   | 347/500 [00:18<00:09, 16.43it/s]
eval model::  70%|███████   | 350/500 [00:18<00:08, 18.63it/s]
eval model::  71%|███████   | 353/500 [00:18<00:07, 20.88it/s]
eval model::  71%|███████   | 356/500 [00:19<00:07, 19.07it/s]
eval model::  72%|███████▏  | 359/500 [00:19<00:07, 19.95it/s]
eval model::  72%|███████▏  | 362/500 [00:19<00:07, 18.12it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 17.45it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:08, 16.31it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.02it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 19.14it/s]
eval model::  75%|███████▌  | 375/500 [00:20<00:06, 20.45it/s]
eval model::  76%|███████▌  | 378/500 [00:20<00:05, 22.69it/s]
eval model::  76%|███████▌  | 381/500 [00:20<00:05, 21.38it/s]
eval model::  77%|███████▋  | 384/500 [00:20<00:05, 23.10it/s]
eval model::  77%|███████▋  | 387/500 [00:20<00:07, 14.37it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:06, 16.70it/s]
eval model::  79%|███████▊  | 393/500 [00:21<00:05, 17.88it/s]
eval model::  79%|███████▉  | 396/500 [00:21<00:05, 18.79it/s]
eval model::  80%|███████▉  | 399/500 [00:21<00:04, 20.34it/s]
eval model::  80%|████████  | 402/500 [00:21<00:04, 20.58it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 23.43it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:03, 25.87it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:03, 24.88it/s]
eval model::  83%|████████▎ | 416/500 [00:22<00:03, 21.06it/s]
eval model::  84%|████████▍ | 419/500 [00:22<00:04, 19.32it/s]
eval model::  84%|████████▍ | 422/500 [00:22<00:06, 12.87it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:05, 13.56it/s]
eval model::  85%|████████▌ | 427/500 [00:22<00:04, 15.72it/s]
eval model::  86%|████████▌ | 430/500 [00:23<00:03, 17.56it/s]
eval model::  87%|████████▋ | 433/500 [00:23<00:03, 18.60it/s]
eval model::  87%|████████▋ | 436/500 [00:23<00:03, 21.04it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 22.90it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 24.05it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 24.93it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 24.53it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 24.49it/s]
eval model::  91%|█████████ | 454/500 [00:24<00:01, 24.86it/s]
eval model::  91%|█████████▏| 457/500 [00:24<00:01, 25.74it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 24.49it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:01, 22.73it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:01, 21.37it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 21.05it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 21.23it/s]
eval model::  95%|█████████▌| 475/500 [00:25<00:01, 20.77it/s]
eval model::  96%|█████████▌| 478/500 [00:25<00:01, 21.94it/s]
eval model::  96%|█████████▌| 481/500 [00:25<00:00, 19.93it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 20.80it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 20.03it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 21.62it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 17.85it/s]
eval model::  99%|█████████▉| 495/500 [00:26<00:00, 17.83it/s]
eval model::  99%|█████████▉| 497/500 [00:26<00:00, 18.23it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 20.85it/s]
eval model:: 100%|██████████| 500/500 [00:26<00:00, 19.04it/s]
======================= Modified FLAGS detected =======================
FLAGS(name='FLAGS_selected_gpus', current_value='4', default_value='')
FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False)
=======================================================================
I0801 17:21:17.439253   419 tcp_utils.cc:107] Retry to connect to 10.8.145.246:55903 while the server is not yet listening.


--------------------------------------
C++ Traceback (most recent call last):
--------------------------------------
0   phi::distributed::CreateOrGetGlobalTCPStore()
1   phi::distributed::TCPStore::TCPStore(std::string, unsigned short, bool, unsigned long, int)
2   phi::distributed::detail::TCPClient::connect(std::string, unsigned short)
3   phi::distributed::tcputils::tcp_connect(std::string, std::string, int, std::chrono::duration<long, std::ratio<1l, 1l> >)

----------------------
Error Message Summary:
----------------------
FatalError: `Termination signal` is detected by the operating system.
  [TimeInfo: *** Aborted at 1722504078 (unix time) try "date -d @1722504078" if you are using GNU date ***]
  [SignalInfo: *** SIGTERM (@0x148) received by PID 419 (TID 0x7f8226fff640) from PID 328 ***]

======================= Modified FLAGS detected =======================
FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False)
FLAGS(name='FLAGS_selected_gpus', current_value='4', default_value='')
=======================================================================
I0801 17:43:09.950397   746 tcp_utils.cc:107] Retry to connect to 10.8.145.246:62911 while the server is not yet listening.


--------------------------------------
C++ Traceback (most recent call last):
--------------------------------------
0   phi::distributed::CreateOrGetGlobalTCPStore()
1   phi::distributed::TCPStore::TCPStore(std::string, unsigned short, bool, unsigned long, int)
2   phi::distributed::detail::TCPClient::connect(std::string, unsigned short)
3   phi::distributed::tcputils::tcp_connect(std::string, std::string, int, std::chrono::duration<long, std::ratio<1l, 1l> >)

----------------------
Error Message Summary:
----------------------
FatalError: `Termination signal` is detected by the operating system.
  [TimeInfo: *** Aborted at 1722505391 (unix time) try "date -d @1722505391" if you are using GNU date ***]
  [SignalInfo: *** SIGTERM (@0x28f) received by PID 746 (TID 0x7f5f2bd8e740) from PID 655 ***]

======================= Modified FLAGS detected =======================
FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False)
FLAGS(name='FLAGS_selected_gpus', current_value='4', default_value='')
=======================================================================
I0801 17:45:05.517232  1068 tcp_utils.cc:130] Successfully connected to 10.8.145.246:49295
I0801 17:45:05.558315  1068 process_group_nccl.cc:120] ProcessGroupNCCL pg_timeout_ 1800000
W0801 17:45:05.576678  1068 gpu_resources.cc:119] Please NOTE: device: 4, GPU Compute Capability: 90.2, Driver API Version: 50724.2, Runtime API Version: 50724.2

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:44,  4.77it/s]
eval model::   0%|          | 2/500 [00:00<01:16,  6.52it/s]
eval model::   1%|          | 3/500 [00:00<01:08,  7.24it/s]
eval model::   1%|          | 4/500 [00:00<01:02,  7.93it/s]
eval model::   1%|          | 5/500 [00:00<00:59,  8.26it/s]
eval model::   1%|          | 6/500 [00:00<00:59,  8.36it/s]
eval model::   1%|▏         | 7/500 [00:00<00:57,  8.62it/s]
eval model::   2%|▏         | 8/500 [00:01<00:56,  8.70it/s]
eval model::   2%|▏         | 9/500 [00:01<00:55,  8.84it/s]
eval model::   2%|▏         | 10/500 [00:01<00:56,  8.69it/s]
eval model::   2%|▏         | 11/500 [00:01<00:54,  9.02it/s]
eval model::   2%|▏         | 12/500 [00:01<00:53,  9.17it/s]
eval model::   3%|▎         | 13/500 [00:01<00:53,  9.13it/s]
eval model::   3%|▎         | 14/500 [00:01<00:53,  9.08it/s]
eval model::   3%|▎         | 15/500 [00:01<00:52,  9.17it/s]
eval model::   3%|▎         | 16/500 [00:01<00:51,  9.32it/s]
eval model::   3%|▎         | 17/500 [00:01<00:51,  9.35it/s]
eval model::   4%|▎         | 18/500 [00:02<00:51,  9.41it/s]
eval model::   4%|▍         | 19/500 [00:02<00:51,  9.42it/s]
eval model::   4%|▍         | 21/500 [00:02<00:49,  9.58it/s]
eval model::   4%|▍         | 22/500 [00:02<00:50,  9.42it/s]
eval model::   5%|▍         | 23/500 [00:02<00:49,  9.55it/s]
eval model::   5%|▌         | 25/500 [00:02<00:50,  9.45it/s]
eval model::   5%|▌         | 26/500 [00:02<00:50,  9.32it/s]
eval model::   5%|▌         | 27/500 [00:03<00:51,  9.27it/s]
eval model::   6%|▌         | 28/500 [00:03<00:50,  9.27it/s]
eval model::   6%|▌         | 29/500 [00:03<00:50,  9.34it/s]
eval model::   6%|▌         | 31/500 [00:03<00:48,  9.67it/s]
eval model::   6%|▋         | 32/500 [00:03<00:48,  9.66it/s]
eval model::   7%|▋         | 34/500 [00:03<00:48,  9.56it/s]
eval model::   7%|▋         | 35/500 [00:03<00:49,  9.48it/s]
eval model::   7%|▋         | 36/500 [00:03<00:49,  9.45it/s]
eval model::   8%|▊         | 38/500 [00:04<00:48,  9.51it/s]
eval model::   8%|▊         | 39/500 [00:04<00:48,  9.59it/s]
eval model::   8%|▊         | 40/500 [00:04<00:47,  9.61it/s]
eval model::   8%|▊         | 41/500 [00:04<00:48,  9.43it/s]
eval model::   9%|▊         | 43/500 [00:04<00:48,  9.47it/s]
eval model::   9%|▉         | 44/500 [00:04<00:48,  9.41it/s]
eval model::   9%|▉         | 45/500 [00:04<00:48,  9.35it/s]
eval model::   9%|▉         | 46/500 [00:05<00:47,  9.47it/s]
eval model::   9%|▉         | 47/500 [00:05<00:48,  9.25it/s]
eval model::  10%|▉         | 48/500 [00:05<00:49,  9.06it/s]
eval model::  10%|▉         | 49/500 [00:05<00:50,  8.98it/s]
eval model::  10%|█         | 50/500 [00:05<00:50,  8.89it/s]
eval model::  10%|█         | 51/500 [00:05<00:51,  8.80it/s]
eval model::  11%|█         | 53/500 [00:05<00:47,  9.34it/s]
eval model::  11%|█         | 54/500 [00:05<00:47,  9.48it/s]
eval model::  11%|█         | 55/500 [00:06<00:47,  9.46it/s]
eval model::  11%|█▏        | 57/500 [00:06<00:45,  9.77it/s]
eval model::  12%|█▏        | 58/500 [00:06<00:46,  9.48it/s]
eval model::  12%|█▏        | 59/500 [00:06<00:47,  9.37it/s]
eval model::  12%|█▏        | 61/500 [00:06<00:46,  9.46it/s]
eval model::  12%|█▏        | 62/500 [00:06<00:46,  9.32it/s]
eval model::  13%|█▎        | 63/500 [00:06<00:48,  9.09it/s]
eval model::  13%|█▎        | 64/500 [00:06<00:48,  8.93it/s]
eval model::  13%|█▎        | 65/500 [00:07<00:48,  8.96it/s]
eval model::  13%|█▎        | 66/500 [00:07<00:47,  9.09it/s]
eval model::  13%|█▎        | 67/500 [00:07<00:47,  9.03it/s]
eval model::  14%|█▎        | 68/500 [00:07<00:46,  9.20it/s]
eval model::  14%|█▍        | 69/500 [00:07<00:46,  9.30it/s]
eval model::  14%|█▍        | 70/500 [00:07<00:47,  9.10it/s]
eval model::  14%|█▍        | 71/500 [00:07<00:46,  9.14it/s]
eval model::  14%|█▍        | 72/500 [00:07<00:47,  9.04it/s]
eval model::  15%|█▍        | 73/500 [00:07<00:46,  9.19it/s]
eval model::  15%|█▍        | 74/500 [00:08<00:45,  9.34it/s]
eval model::  15%|█▌        | 76/500 [00:08<00:44,  9.47it/s]
eval model::  15%|█▌        | 77/500 [00:08<00:44,  9.54it/s]
eval model::  16%|█▌        | 78/500 [00:08<00:45,  9.34it/s]
eval model::  16%|█▌        | 79/500 [00:08<00:45,  9.25it/s]
eval model::  16%|█▌        | 80/500 [00:08<00:45,  9.14it/s]
eval model::  16%|█▋        | 82/500 [00:08<00:44,  9.35it/s]
eval model::  17%|█▋        | 83/500 [00:09<00:44,  9.40it/s]
eval model::  17%|█▋        | 84/500 [00:09<00:45,  9.24it/s]
eval model::  17%|█▋        | 85/500 [00:09<00:45,  9.21it/s]
eval model::  17%|█▋        | 86/500 [00:09<00:44,  9.28it/s]
eval model::  17%|█▋        | 87/500 [00:09<00:44,  9.31it/s]
eval model::  18%|█▊        | 88/500 [00:09<00:44,  9.36it/s]
eval model::  18%|█▊        | 89/500 [00:09<00:43,  9.51it/s]
eval model::  18%|█▊        | 90/500 [00:09<00:44,  9.28it/s]
eval model::  18%|█▊        | 91/500 [00:09<00:44,  9.22it/s]
eval model::  18%|█▊        | 92/500 [00:10<00:45,  8.99it/s]
eval model::  19%|█▊        | 93/500 [00:10<00:45,  8.92it/s]
eval model::  19%|█▉        | 94/500 [00:10<00:45,  8.92it/s]
eval model::  19%|█▉        | 95/500 [00:10<00:45,  8.95it/s]
eval model::  19%|█▉        | 96/500 [00:10<00:46,  8.65it/s]
eval model::  19%|█▉        | 97/500 [00:10<00:44,  8.99it/s]
eval model::  20%|█▉        | 98/500 [00:10<00:44,  9.03it/s]
eval model::  20%|█▉        | 99/500 [00:10<00:44,  9.07it/s]
eval model::  20%|██        | 100/500 [00:10<00:44,  9.02it/s]
eval model::  20%|██        | 101/500 [00:11<00:46,  8.58it/s]
eval model::  20%|██        | 102/500 [00:11<00:47,  8.43it/s]
eval model::  21%|██        | 103/500 [00:11<00:46,  8.58it/s]
eval model::  21%|██        | 104/500 [00:11<00:44,  8.87it/s]
eval model::  21%|██        | 105/500 [00:11<00:45,  8.63it/s]
eval model::  21%|██        | 106/500 [00:11<00:45,  8.66it/s]
eval model::  21%|██▏       | 107/500 [00:11<00:43,  8.98it/s]
eval model::  22%|██▏       | 108/500 [00:11<00:44,  8.85it/s]
eval model::  22%|██▏       | 109/500 [00:11<00:47,  8.30it/s]
eval model::  22%|██▏       | 110/500 [00:12<00:47,  8.14it/s]
eval model::  22%|██▏       | 111/500 [00:12<00:48,  7.98it/s]
eval model::  22%|██▏       | 112/500 [00:12<00:47,  8.24it/s]
eval model::  23%|██▎       | 113/500 [00:12<00:47,  8.10it/s]
eval model::  23%|██▎       | 114/500 [00:12<00:48,  7.90it/s]
eval model::  23%|██▎       | 115/500 [00:12<00:49,  7.79it/s]
eval model::  23%|██▎       | 116/500 [00:12<00:49,  7.83it/s]
eval model::  23%|██▎       | 117/500 [00:12<00:47,  8.07it/s]
eval model::  24%|██▎       | 118/500 [00:13<00:46,  8.20it/s]
eval model::  24%|██▍       | 119/500 [00:13<00:45,  8.29it/s]
eval model::  24%|██▍       | 120/500 [00:13<00:43,  8.71it/s]
eval model::  24%|██▍       | 121/500 [00:13<00:44,  8.46it/s]
eval model::  24%|██▍       | 122/500 [00:13<00:45,  8.37it/s]
eval model::  25%|██▍       | 123/500 [00:13<00:45,  8.24it/s]
eval model::  25%|██▍       | 124/500 [00:13<00:45,  8.24it/s]
eval model::  25%|██▌       | 125/500 [00:13<00:45,  8.23it/s]
eval model::  25%|██▌       | 126/500 [00:14<00:44,  8.33it/s]
eval model::  25%|██▌       | 127/500 [00:14<00:44,  8.32it/s]
eval model::  26%|██▌       | 128/500 [00:14<00:44,  8.44it/s]
eval model::  26%|██▌       | 129/500 [00:14<00:43,  8.53it/s]
eval model::  26%|██▌       | 130/500 [00:14<00:44,  8.22it/s]
eval model::  26%|██▌       | 131/500 [00:14<00:43,  8.49it/s]
eval model::  26%|██▋       | 132/500 [00:14<00:44,  8.25it/s]
eval model::  27%|██▋       | 133/500 [00:14<00:42,  8.60it/s]
eval model::  27%|██▋       | 134/500 [00:14<00:41,  8.75it/s]
eval model::  27%|██▋       | 135/500 [00:15<00:42,  8.50it/s]
eval model::  27%|██▋       | 136/500 [00:15<00:42,  8.55it/s]
eval model::  27%|██▋       | 137/500 [00:15<00:44,  8.20it/s]
eval model::  28%|██▊       | 138/500 [00:15<00:43,  8.26it/s]
eval model::  28%|██▊       | 139/500 [00:15<00:42,  8.46it/s]
eval model::  28%|██▊       | 140/500 [00:15<00:44,  8.14it/s]
eval model::  28%|██▊       | 141/500 [00:15<00:44,  8.08it/s]
eval model::  28%|██▊       | 142/500 [00:15<00:43,  8.15it/s]
eval model::  29%|██▊       | 143/500 [00:16<00:42,  8.44it/s]
eval model::  29%|██▉       | 144/500 [00:16<00:43,  8.18it/s]
eval model::  29%|██▉       | 145/500 [00:16<00:42,  8.26it/s]
eval model::  29%|██▉       | 146/500 [00:16<00:43,  8.19it/s]
eval model::  29%|██▉       | 147/500 [00:16<00:42,  8.25it/s]
eval model::  30%|██▉       | 148/500 [00:16<00:43,  8.15it/s]
eval model::  30%|██▉       | 149/500 [00:16<00:43,  8.05it/s]
eval model::  30%|███       | 150/500 [00:16<00:42,  8.23it/s]
eval model::  30%|███       | 151/500 [00:17<00:42,  8.26it/s]
eval model::  30%|███       | 152/500 [00:17<00:41,  8.46it/s]
eval model::  31%|███       | 153/500 [00:17<00:41,  8.28it/s]
eval model::  31%|███       | 154/500 [00:17<00:40,  8.47it/s]
eval model::  31%|███       | 155/500 [00:17<00:42,  8.14it/s]
eval model::  31%|███       | 156/500 [00:17<00:41,  8.21it/s]
eval model::  31%|███▏      | 157/500 [00:17<00:40,  8.51it/s]
eval model::  32%|███▏      | 158/500 [00:17<00:41,  8.31it/s]
eval model::  32%|███▏      | 159/500 [00:18<00:41,  8.16it/s]
eval model::  32%|███▏      | 160/500 [00:18<00:41,  8.11it/s]
eval model::  32%|███▏      | 161/500 [00:18<00:45,  7.50it/s]
eval model::  32%|███▏      | 162/500 [00:18<00:47,  7.18it/s]
eval model::  33%|███▎      | 163/500 [00:18<00:47,  7.11it/s]
eval model::  33%|███▎      | 164/500 [00:18<00:46,  7.29it/s]
eval model::  33%|███▎      | 165/500 [00:18<00:45,  7.40it/s]
eval model::  33%|███▎      | 166/500 [00:18<00:44,  7.57it/s]
eval model::  33%|███▎      | 167/500 [00:19<00:43,  7.69it/s]
eval model::  34%|███▎      | 168/500 [00:19<00:41,  7.92it/s]
eval model::  34%|███▍      | 169/500 [00:19<00:43,  7.58it/s]
eval model::  34%|███▍      | 170/500 [00:19<00:44,  7.47it/s]
eval model::  34%|███▍      | 171/500 [00:19<00:45,  7.23it/s]
eval model::  34%|███▍      | 172/500 [00:19<00:43,  7.53it/s]
eval model::  35%|███▍      | 173/500 [00:19<00:41,  7.96it/s]
eval model::  35%|███▍      | 174/500 [00:20<00:39,  8.31it/s]
eval model::  35%|███▌      | 175/500 [00:20<00:39,  8.23it/s]
eval model::  35%|███▌      | 176/500 [00:20<00:37,  8.57it/s]
eval model::  35%|███▌      | 177/500 [00:20<00:38,  8.47it/s]
eval model::  36%|███▌      | 178/500 [00:20<00:37,  8.58it/s]
eval model::  36%|███▌      | 180/500 [00:20<00:36,  8.80it/s]
eval model::  36%|███▌      | 181/500 [00:20<00:36,  8.74it/s]
eval model::  36%|███▋      | 182/500 [00:20<00:38,  8.18it/s]
eval model::  37%|███▋      | 183/500 [00:21<00:39,  8.07it/s]
eval model::  37%|███▋      | 184/500 [00:21<00:38,  8.21it/s]
eval model::  37%|███▋      | 185/500 [00:21<00:36,  8.60it/s]
eval model::  37%|███▋      | 186/500 [00:21<00:38,  8.12it/s]
eval model::  37%|███▋      | 187/500 [00:21<00:38,  8.06it/s]
eval model::  38%|███▊      | 188/500 [00:21<00:37,  8.37it/s]
eval model::  38%|███▊      | 189/500 [00:21<00:37,  8.38it/s]
eval model::  38%|███▊      | 190/500 [00:21<00:38,  8.15it/s]
eval model::  38%|███▊      | 191/500 [00:22<00:36,  8.44it/s]
eval model::  38%|███▊      | 192/500 [00:22<00:35,  8.56it/s]
eval model::  39%|███▊      | 193/500 [00:22<00:36,  8.45it/s]
eval model::  39%|███▉      | 194/500 [00:22<00:35,  8.73it/s]
eval model::  39%|███▉      | 195/500 [00:22<00:36,  8.42it/s]
eval model::  39%|███▉      | 196/500 [00:22<00:37,  8.11it/s]
eval model::  39%|███▉      | 197/500 [00:22<00:38,  7.91it/s]
eval model::  40%|███▉      | 198/500 [00:22<00:37,  7.97it/s]
eval model::  40%|███▉      | 199/500 [00:23<00:37,  8.12it/s]
eval model::  40%|████      | 200/500 [00:23<00:37,  8.03it/s]
eval model::  40%|████      | 201/500 [00:23<00:37,  7.93it/s]
eval model::  40%|████      | 202/500 [00:23<00:36,  8.06it/s]
eval model::  41%|████      | 203/500 [00:23<00:37,  8.00it/s]
eval model::  41%|████      | 204/500 [00:23<00:35,  8.42it/s]
eval model::  41%|████      | 205/500 [00:23<00:37,  7.88it/s]
eval model::  41%|████      | 206/500 [00:23<00:36,  8.05it/s]
eval model::  41%|████▏     | 207/500 [00:24<00:37,  7.75it/s]
eval model::  42%|████▏     | 208/500 [00:24<00:39,  7.43it/s]
eval model::  42%|████▏     | 209/500 [00:24<00:42,  6.91it/s]
eval model::  42%|████▏     | 210/500 [00:24<00:40,  7.10it/s]
eval model::  42%|████▏     | 211/500 [00:24<00:39,  7.39it/s]
eval model::  42%|████▏     | 212/500 [00:24<00:39,  7.31it/s]
eval model::  43%|████▎     | 213/500 [00:24<00:37,  7.75it/s]
eval model::  43%|████▎     | 214/500 [00:24<00:39,  7.29it/s]
eval model::  43%|████▎     | 215/500 [00:25<00:40,  7.05it/s]
eval model::  43%|████▎     | 216/500 [00:25<00:44,  6.37it/s]
eval model::  43%|████▎     | 217/500 [00:25<00:44,  6.32it/s]
eval model::  44%|████▎     | 218/500 [00:25<00:42,  6.70it/s]
eval model::  44%|████▍     | 219/500 [00:25<00:41,  6.84it/s]
eval model::  44%|████▍     | 220/500 [00:25<00:42,  6.65it/s]
eval model::  44%|████▍     | 221/500 [00:26<00:40,  6.87it/s]
eval model::  44%|████▍     | 222/500 [00:26<00:39,  7.09it/s]
eval model::  45%|████▍     | 223/500 [00:26<00:37,  7.30it/s]
eval model::  45%|████▍     | 224/500 [00:26<00:36,  7.49it/s]
eval model::  45%|████▌     | 225/500 [00:26<00:36,  7.54it/s]
eval model::  45%|████▌     | 226/500 [00:26<00:34,  7.86it/s]
eval model::  45%|████▌     | 227/500 [00:26<00:34,  7.98it/s]
eval model::  46%|████▌     | 228/500 [00:26<00:37,  7.24it/s]
eval model::  46%|████▌     | 229/500 [00:27<00:38,  7.04it/s]
eval model::  46%|████▌     | 230/500 [00:27<00:37,  7.22it/s]
eval model::  46%|████▌     | 231/500 [00:27<00:35,  7.55it/s]
eval model::  46%|████▋     | 232/500 [00:27<00:35,  7.48it/s]
eval model::  47%|████▋     | 233/500 [00:27<00:34,  7.72it/s]
eval model::  47%|████▋     | 234/500 [00:27<00:32,  8.06it/s]
eval model::  47%|████▋     | 235/500 [00:27<00:32,  8.05it/s]
eval model::  47%|████▋     | 236/500 [00:28<00:34,  7.74it/s]
eval model::  47%|████▋     | 237/500 [00:28<00:34,  7.71it/s]
eval model::  48%|████▊     | 238/500 [00:28<00:33,  7.86it/s]
eval model::  48%|████▊     | 239/500 [00:28<00:33,  7.79it/s]
eval model::  48%|████▊     | 240/500 [00:28<00:32,  7.93it/s]
eval model::  48%|████▊     | 241/500 [00:28<00:32,  8.05it/s]
eval model::  48%|████▊     | 242/500 [00:28<00:30,  8.36it/s]
eval model::  49%|████▊     | 243/500 [00:28<00:32,  7.88it/s]
eval model::  49%|████▉     | 244/500 [00:29<00:33,  7.61it/s]
eval model::  49%|████▉     | 245/500 [00:29<00:33,  7.51it/s]
eval model::  49%|████▉     | 246/500 [00:29<00:33,  7.69it/s]
eval model::  49%|████▉     | 247/500 [00:29<00:33,  7.66it/s]
eval model::  50%|████▉     | 248/500 [00:29<00:32,  7.73it/s]
eval model::  50%|████▉     | 249/500 [00:29<00:32,  7.68it/s]
eval model::  50%|█████     | 250/500 [00:29<00:33,  7.48it/s]
eval model::  50%|█████     | 252/500 [00:30<00:30,  8.18it/s]
eval model::  51%|█████     | 253/500 [00:30<00:36,  6.83it/s]
eval model::  51%|█████     | 254/500 [00:30<00:33,  7.27it/s]
eval model::  51%|█████     | 255/500 [00:30<00:32,  7.57it/s]
eval model::  51%|█████▏    | 257/500 [00:30<00:29,  8.24it/s]
eval model::  52%|█████▏    | 258/500 [00:30<00:29,  8.09it/s]
eval model::  52%|█████▏    | 259/500 [00:30<00:29,  8.13it/s]
eval model::  52%|█████▏    | 260/500 [00:31<00:29,  8.06it/s]
eval model::  52%|█████▏    | 261/500 [00:31<00:29,  8.14it/s]
eval model::  52%|█████▏    | 262/500 [00:31<00:29,  8.14it/s]
eval model::  53%|█████▎    | 263/500 [00:31<00:29,  7.98it/s]
eval model::  53%|█████▎    | 264/500 [00:31<00:29,  8.06it/s]
eval model::  53%|█████▎    | 265/500 [00:31<00:29,  8.09it/s]
eval model::  53%|█████▎    | 266/500 [00:31<00:28,  8.29it/s]
eval model::  53%|█████▎    | 267/500 [00:31<00:28,  8.23it/s]
eval model::  54%|█████▎    | 268/500 [00:32<00:27,  8.44it/s]
eval model::  54%|█████▍    | 269/500 [00:32<00:27,  8.55it/s]
eval model::  54%|█████▍    | 270/500 [00:32<00:26,  8.64it/s]
eval model::  54%|█████▍    | 271/500 [00:32<00:27,  8.37it/s]
eval model::  54%|█████▍    | 272/500 [00:32<00:27,  8.20it/s]
eval model::  55%|█████▍    | 273/500 [00:32<00:27,  8.36it/s]
eval model::  55%|█████▍    | 274/500 [00:32<00:26,  8.48it/s]
eval model::  55%|█████▌    | 275/500 [00:32<00:26,  8.55it/s]
eval model::  55%|█████▌    | 276/500 [00:32<00:26,  8.52it/s]
eval model::  55%|█████▌    | 277/500 [00:33<00:26,  8.53it/s]
eval model::  56%|█████▌    | 278/500 [00:33<00:26,  8.43it/s]
eval model::  56%|█████▌    | 279/500 [00:33<00:25,  8.67it/s]
eval model::  56%|█████▌    | 280/500 [00:33<00:25,  8.50it/s]
eval model::  56%|█████▌    | 281/500 [00:33<00:25,  8.56it/s]
eval model::  56%|█████▋    | 282/500 [00:33<00:24,  8.72it/s]
eval model::  57%|█████▋    | 283/500 [00:33<00:25,  8.67it/s]
eval model::  57%|█████▋    | 284/500 [00:33<00:25,  8.63it/s]
eval model::  57%|█████▋    | 285/500 [00:34<00:25,  8.60it/s]
eval model::  57%|█████▋    | 286/500 [00:34<00:25,  8.53it/s]
eval model::  57%|█████▋    | 287/500 [00:34<00:25,  8.38it/s]
eval model::  58%|█████▊    | 288/500 [00:34<00:25,  8.39it/s]
eval model::  58%|█████▊    | 289/500 [00:34<00:25,  8.38it/s]
eval model::  58%|█████▊    | 290/500 [00:34<00:25,  8.19it/s]
eval model::  58%|█████▊    | 291/500 [00:34<00:25,  8.17it/s]
eval model::  58%|█████▊    | 292/500 [00:34<00:25,  8.09it/s]
eval model::  59%|█████▊    | 293/500 [00:35<00:25,  8.06it/s]
eval model::  59%|█████▉    | 294/500 [00:35<00:24,  8.25it/s]
eval model::  59%|█████▉    | 295/500 [00:35<00:24,  8.27it/s]
eval model::  59%|█████▉    | 296/500 [00:35<00:25,  7.99it/s]
eval model::  59%|█████▉    | 297/500 [00:35<00:26,  7.64it/s]
eval model::  60%|█████▉    | 298/500 [00:35<00:25,  7.96it/s]
eval model::  60%|█████▉    | 299/500 [00:35<00:24,  8.11it/s]
eval model::  60%|██████    | 300/500 [00:35<00:25,  7.93it/s]
eval model::  60%|██████    | 301/500 [00:36<00:25,  7.88it/s]
eval model::  60%|██████    | 302/500 [00:36<00:24,  8.14it/s]
eval model::  61%|██████    | 303/500 [00:36<00:23,  8.31it/s]
eval model::  61%|██████    | 304/500 [00:36<00:24,  8.13it/s]
eval model::  61%|██████    | 305/500 [00:36<00:23,  8.25it/s]
eval model::  61%|██████    | 306/500 [00:36<00:23,  8.43it/s]
eval model::  61%|██████▏   | 307/500 [00:36<00:22,  8.63it/s]
eval model::  62%|██████▏   | 308/500 [00:36<00:22,  8.69it/s]
eval model::  62%|██████▏   | 309/500 [00:36<00:23,  8.28it/s]
eval model::  62%|██████▏   | 310/500 [00:37<00:23,  8.16it/s]
eval model::  62%|██████▏   | 311/500 [00:37<00:23,  7.97it/s]
eval model::  62%|██████▏   | 312/500 [00:37<00:23,  7.92it/s]
eval model::  63%|██████▎   | 313/500 [00:37<00:23,  7.98it/s]
eval model::  63%|██████▎   | 314/500 [00:37<00:22,  8.15it/s]
eval model::  63%|██████▎   | 315/500 [00:37<00:22,  8.07it/s]
eval model::  63%|██████▎   | 316/500 [00:37<00:23,  7.90it/s]
eval model::  63%|██████▎   | 317/500 [00:37<00:22,  7.98it/s]
eval model::  64%|██████▎   | 318/500 [00:38<00:22,  8.05it/s]
eval model::  64%|██████▍   | 319/500 [00:38<00:22,  8.11it/s]
eval model::  64%|██████▍   | 320/500 [00:38<00:22,  8.10it/s]
eval model::  64%|██████▍   | 321/500 [00:38<00:21,  8.20it/s]
eval model::  64%|██████▍   | 322/500 [00:38<00:21,  8.16it/s]
eval model::  65%|██████▍   | 323/500 [00:38<00:20,  8.59it/s]
eval model::  65%|██████▍   | 324/500 [00:38<00:20,  8.43it/s]
eval model::  65%|██████▌   | 325/500 [00:38<00:20,  8.50it/s]
eval model::  65%|██████▌   | 326/500 [00:39<00:20,  8.30it/s]
eval model::  65%|██████▌   | 327/500 [00:39<00:20,  8.27it/s]
eval model::  66%|██████▌   | 328/500 [00:39<00:21,  8.14it/s]
eval model::  66%|██████▌   | 329/500 [00:39<00:21,  8.14it/s]
eval model::  66%|██████▌   | 330/500 [00:39<00:20,  8.30it/s]
eval model::  66%|██████▌   | 331/500 [00:39<00:20,  8.22it/s]
eval model::  66%|██████▋   | 332/500 [00:39<00:20,  8.35it/s]
eval model::  67%|██████▋   | 333/500 [00:39<00:19,  8.56it/s]
eval model::  67%|██████▋   | 334/500 [00:40<00:19,  8.48it/s]
eval model::  67%|██████▋   | 335/500 [00:40<00:19,  8.41it/s]
eval model::  67%|██████▋   | 336/500 [00:40<00:19,  8.39it/s]
eval model::  67%|██████▋   | 337/500 [00:40<00:19,  8.17it/s]
eval model::  68%|██████▊   | 338/500 [00:40<00:19,  8.36it/s]
eval model::  68%|██████▊   | 339/500 [00:40<00:19,  8.28it/s]
eval model::  68%|██████▊   | 340/500 [00:40<00:18,  8.58it/s]
eval model::  68%|██████▊   | 341/500 [00:40<00:18,  8.45it/s]
eval model::  68%|██████▊   | 342/500 [00:40<00:18,  8.52it/s]
eval model::  69%|██████▊   | 343/500 [00:41<00:18,  8.46it/s]
eval model::  69%|██████▉   | 344/500 [00:41<00:18,  8.54it/s]
eval model::  69%|██████▉   | 345/500 [00:41<00:17,  8.77it/s]
eval model::  69%|██████▉   | 346/500 [00:41<00:18,  8.49it/s]
eval model::  69%|██████▉   | 347/500 [00:41<00:18,  8.29it/s]
eval model::  70%|██████▉   | 348/500 [00:41<00:18,  8.33it/s]
eval model::  70%|██████▉   | 349/500 [00:41<00:17,  8.47it/s]
eval model::  70%|███████   | 350/500 [00:41<00:18,  8.29it/s]
eval model::  70%|███████   | 351/500 [00:42<00:17,  8.37it/s]
eval model::  70%|███████   | 352/500 [00:42<00:17,  8.35it/s]
eval model::  71%|███████   | 353/500 [00:42<00:17,  8.54it/s]
eval model::  71%|███████   | 354/500 [00:42<00:17,  8.17it/s]
eval model::  71%|███████   | 355/500 [00:42<00:17,  8.13it/s]
eval model::  71%|███████▏  | 357/500 [00:42<00:16,  8.87it/s]
eval model::  72%|███████▏  | 358/500 [00:42<00:16,  8.83it/s]
eval model::  72%|███████▏  | 359/500 [00:42<00:15,  9.07it/s]
eval model::  72%|███████▏  | 360/500 [00:43<00:15,  8.93it/s]
eval model::  72%|███████▏  | 361/500 [00:43<00:15,  9.08it/s]
eval model::  72%|███████▏  | 362/500 [00:43<00:15,  8.91it/s]
eval model::  73%|███████▎  | 363/500 [00:43<00:15,  9.09it/s]
eval model::  73%|███████▎  | 364/500 [00:43<00:14,  9.17it/s]
eval model::  73%|███████▎  | 366/500 [00:43<00:15,  8.83it/s]
eval model::  73%|███████▎  | 367/500 [00:43<00:15,  8.58it/s]
eval model::  74%|███████▎  | 368/500 [00:44<00:16,  8.21it/s]
eval model::  74%|███████▍  | 369/500 [00:44<00:16,  8.02it/s]
eval model::  74%|███████▍  | 370/500 [00:44<00:15,  8.19it/s]
eval model::  74%|███████▍  | 371/500 [00:44<00:16,  7.98it/s]
eval model::  74%|███████▍  | 372/500 [00:44<00:16,  7.99it/s]
eval model::  75%|███████▍  | 373/500 [00:44<00:15,  8.01it/s]
eval model::  75%|███████▍  | 374/500 [00:44<00:15,  8.00it/s]
eval model::  75%|███████▌  | 375/500 [00:44<00:15,  7.95it/s]
eval model::  75%|███████▌  | 376/500 [00:45<00:15,  8.03it/s]
eval model::  75%|███████▌  | 377/500 [00:45<00:14,  8.27it/s]
eval model::  76%|███████▌  | 378/500 [00:45<00:14,  8.55it/s]
eval model::  76%|███████▌  | 379/500 [00:45<00:14,  8.51it/s]
eval model::  76%|███████▌  | 380/500 [00:45<00:14,  8.28it/s]
eval model::  76%|███████▌  | 381/500 [00:45<00:14,  8.18it/s]
eval model::  76%|███████▋  | 382/500 [00:45<00:14,  8.21it/s]
eval model::  77%|███████▋  | 383/500 [00:45<00:14,  8.18it/s]
eval model::  77%|███████▋  | 384/500 [00:45<00:13,  8.29it/s]
eval model::  77%|███████▋  | 385/500 [00:46<00:13,  8.29it/s]
eval model::  77%|███████▋  | 386/500 [00:46<00:14,  8.09it/s]
eval model::  77%|███████▋  | 387/500 [00:46<00:14,  8.01it/s]
eval model::  78%|███████▊  | 388/500 [00:46<00:13,  8.18it/s]
eval model::  78%|███████▊  | 389/500 [00:46<00:13,  8.07it/s]
eval model::  78%|███████▊  | 390/500 [00:46<00:13,  8.11it/s]
eval model::  78%|███████▊  | 391/500 [00:46<00:12,  8.44it/s]
eval model::  78%|███████▊  | 392/500 [00:46<00:12,  8.66it/s]
eval model::  79%|███████▊  | 393/500 [00:47<00:12,  8.78it/s]
eval model::  79%|███████▉  | 394/500 [00:47<00:11,  8.91it/s]
eval model::  79%|███████▉  | 395/500 [00:47<00:12,  8.62it/s]
eval model::  79%|███████▉  | 397/500 [00:47<00:11,  9.08it/s]
eval model::  80%|███████▉  | 398/500 [00:47<00:11,  8.98it/s]
eval model::  80%|███████▉  | 399/500 [00:47<00:11,  8.88it/s]
eval model::  80%|████████  | 400/500 [00:47<00:11,  8.56it/s]
eval model::  80%|████████  | 401/500 [00:47<00:11,  8.58it/s]
eval model::  80%|████████  | 402/500 [00:48<00:11,  8.60it/s]
eval model::  81%|████████  | 403/500 [00:48<00:11,  8.17it/s]
eval model::  81%|████████  | 404/500 [00:48<00:11,  8.19it/s]
eval model::  81%|████████  | 405/500 [00:48<00:11,  8.38it/s]
eval model::  81%|████████  | 406/500 [00:48<00:11,  8.37it/s]
eval model::  81%|████████▏ | 407/500 [00:48<00:11,  8.26it/s]
eval model::  82%|████████▏ | 408/500 [00:48<00:11,  8.27it/s]
eval model::  82%|████████▏ | 409/500 [00:48<00:10,  8.47it/s]
eval model::  82%|████████▏ | 410/500 [00:49<00:10,  8.25it/s]
eval model::  82%|████████▏ | 411/500 [00:49<00:10,  8.39it/s]
eval model::  82%|████████▏ | 412/500 [00:49<00:11,  7.70it/s]
eval model::  83%|████████▎ | 413/500 [00:49<00:11,  7.85it/s]
eval model::  83%|████████▎ | 415/500 [00:49<00:10,  8.32it/s]
eval model::  83%|████████▎ | 416/500 [00:49<00:10,  8.22it/s]
eval model::  83%|████████▎ | 417/500 [00:49<00:10,  8.29it/s]
eval model::  84%|████████▎ | 418/500 [00:50<00:10,  8.14it/s]
eval model::  84%|████████▍ | 419/500 [00:50<00:09,  8.14it/s]
eval model::  84%|████████▍ | 420/500 [00:50<00:10,  7.77it/s]
eval model::  84%|████████▍ | 421/500 [00:50<00:09,  7.99it/s]
eval model::  84%|████████▍ | 422/500 [00:50<00:09,  8.11it/s]
eval model::  85%|████████▍ | 423/500 [00:50<00:09,  8.30it/s]
eval model::  85%|████████▍ | 424/500 [00:50<00:09,  8.24it/s]
eval model::  85%|████████▌ | 425/500 [00:50<00:08,  8.34it/s]
eval model::  85%|████████▌ | 426/500 [00:51<00:08,  8.37it/s]
eval model::  85%|████████▌ | 427/500 [00:51<00:08,  8.35it/s]
eval model::  86%|████████▌ | 428/500 [00:51<00:08,  8.21it/s]
eval model::  86%|████████▌ | 429/500 [00:51<00:08,  8.27it/s]
eval model::  86%|████████▌ | 430/500 [00:51<00:08,  8.46it/s]
eval model::  86%|████████▌ | 431/500 [00:51<00:08,  8.45it/s]
eval model::  87%|████████▋ | 433/500 [00:51<00:07,  8.82it/s]
eval model::  87%|████████▋ | 434/500 [00:51<00:07,  9.05it/s]
eval model::  87%|████████▋ | 435/500 [00:52<00:07,  8.95it/s]
eval model::  87%|████████▋ | 436/500 [00:52<00:07,  8.73it/s]
eval model::  87%|████████▋ | 437/500 [00:52<00:07,  8.61it/s]
eval model::  88%|████████▊ | 438/500 [00:52<00:07,  8.70it/s]
eval model::  88%|████████▊ | 439/500 [00:52<00:06,  8.78it/s]
eval model::  88%|████████▊ | 440/500 [00:52<00:06,  8.91it/s]
eval model::  88%|████████▊ | 441/500 [00:52<00:06,  8.90it/s]
eval model::  88%|████████▊ | 442/500 [00:52<00:06,  9.07it/s]
eval model::  89%|████████▉ | 444/500 [00:53<00:05,  9.91it/s]
eval model::  89%|████████▉ | 445/500 [00:53<00:05,  9.61it/s]
eval model::  89%|████████▉ | 446/500 [00:53<00:05,  9.43it/s]
eval model::  89%|████████▉ | 447/500 [00:53<00:05,  9.55it/s]
eval model::  90%|████████▉ | 448/500 [00:53<00:05,  9.62it/s]
eval model::  90%|█████████ | 450/500 [00:53<00:04, 10.22it/s]
eval model::  90%|█████████ | 452/500 [00:53<00:04, 10.11it/s]
eval model::  91%|█████████ | 453/500 [00:53<00:04,  9.97it/s]
eval model::  91%|█████████ | 454/500 [00:54<00:04,  9.20it/s]
eval model::  91%|█████████ | 456/500 [00:54<00:04,  9.39it/s]
eval model::  91%|█████████▏| 457/500 [00:54<00:04,  9.30it/s]
eval model::  92%|█████████▏| 458/500 [00:54<00:04,  9.27it/s]
eval model::  92%|█████████▏| 459/500 [00:54<00:04,  9.07it/s]
eval model::  92%|█████████▏| 461/500 [00:54<00:04,  9.65it/s]
eval model::  92%|█████████▏| 462/500 [00:54<00:04,  9.26it/s]
eval model::  93%|█████████▎| 464/500 [00:55<00:03,  9.50it/s]
eval model::  93%|█████████▎| 465/500 [00:55<00:03,  9.49it/s]
eval model::  93%|█████████▎| 466/500 [00:55<00:03,  9.57it/s]
eval model::  94%|█████████▎| 468/500 [00:55<00:03, 10.12it/s]
eval model::  94%|█████████▍| 470/500 [00:55<00:03,  9.92it/s]
eval model::  94%|█████████▍| 471/500 [00:55<00:02,  9.74it/s]
eval model::  95%|█████████▍| 473/500 [00:56<00:02,  9.84it/s]
eval model::  95%|█████████▍| 474/500 [00:56<00:02,  9.70it/s]
eval model::  95%|█████████▌| 476/500 [00:56<00:02,  9.76it/s]
eval model::  95%|█████████▌| 477/500 [00:56<00:02,  9.65it/s]
eval model::  96%|█████████▌| 478/500 [00:56<00:02,  9.73it/s]
eval model::  96%|█████████▌| 479/500 [00:56<00:02,  9.71it/s]
eval model::  96%|█████████▌| 480/500 [00:56<00:02,  9.46it/s]
eval model::  96%|█████████▌| 481/500 [00:56<00:01,  9.58it/s]
eval model::  97%|█████████▋| 483/500 [00:57<00:01,  9.55it/s]
eval model::  97%|█████████▋| 485/500 [00:57<00:01,  9.75it/s]
eval model::  97%|█████████▋| 486/500 [00:57<00:01,  9.64it/s]
eval model::  97%|█████████▋| 487/500 [00:57<00:01,  9.58it/s]
eval model::  98%|█████████▊| 488/500 [00:57<00:01,  9.42it/s]
eval model::  98%|█████████▊| 489/500 [00:57<00:01,  9.46it/s]
eval model::  98%|█████████▊| 490/500 [00:57<00:01,  9.40it/s]
eval model::  98%|█████████▊| 491/500 [00:57<00:00,  9.13it/s]
eval model::  99%|█████████▊| 493/500 [00:58<00:00,  9.45it/s]
eval model::  99%|█████████▉| 494/500 [00:58<00:00,  9.26it/s]
eval model::  99%|█████████▉| 495/500 [00:58<00:00,  9.12it/s]
eval model::  99%|█████████▉| 496/500 [00:58<00:00,  9.19it/s]
eval model::  99%|█████████▉| 497/500 [00:58<00:00,  9.03it/s]
eval model:: 100%|█████████▉| 498/500 [00:58<00:00,  9.28it/s]
eval model:: 100%|██████████| 500/500 [00:58<00:00,  9.73it/s]
eval model:: 100%|██████████| 500/500 [00:58<00:00,  8.49it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:02,  8.04it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.85it/s]
eval model::   1%|          | 6/500 [00:00<00:29, 16.81it/s]
eval model::   2%|▏         | 9/500 [00:00<00:27, 17.81it/s]
eval model::   2%|▏         | 11/500 [00:00<00:26, 18.18it/s]
eval model::   3%|▎         | 13/500 [00:00<00:26, 18.18it/s]
eval model::   3%|▎         | 15/500 [00:00<00:26, 18.10it/s]
eval model::   3%|▎         | 17/500 [00:00<00:26, 18.33it/s]
eval model::   4%|▍         | 19/500 [00:01<00:27, 17.73it/s]
eval model::   4%|▍         | 21/500 [00:01<00:27, 17.54it/s]
eval model::   5%|▍         | 24/500 [00:01<00:23, 20.19it/s]
eval model::   5%|▌         | 27/500 [00:01<00:22, 20.85it/s]
eval model::   6%|▌         | 30/500 [00:01<00:23, 20.08it/s]
eval model::   7%|▋         | 33/500 [00:01<00:23, 19.61it/s]
eval model::   7%|▋         | 35/500 [00:01<00:25, 18.03it/s]
eval model::   8%|▊         | 38/500 [00:02<00:23, 19.88it/s]
eval model::   8%|▊         | 41/500 [00:02<00:22, 20.34it/s]
eval model::   9%|▉         | 44/500 [00:02<00:23, 19.38it/s]
eval model::   9%|▉         | 46/500 [00:02<00:24, 18.39it/s]
eval model::  10%|▉         | 49/500 [00:02<00:22, 20.41it/s]
eval model::  10%|█         | 52/500 [00:02<00:22, 19.94it/s]
eval model::  11%|█         | 55/500 [00:02<00:22, 19.69it/s]
eval model::  11%|█▏        | 57/500 [00:03<00:22, 19.64it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:23, 19.14it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:24, 17.74it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:22, 19.48it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:19, 21.97it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:20, 21.00it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:21, 20.24it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:21, 19.91it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:20, 20.69it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 20.86it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:20, 20.05it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:20, 20.01it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:19, 20.45it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:19, 20.67it/s]
eval model::  20%|█▉        | 98/500 [00:04<00:18, 21.55it/s]
eval model::  20%|██        | 101/500 [00:05<00:20, 19.06it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 20.69it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:21, 18.70it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:21, 18.54it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 19.45it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:19, 19.53it/s]
eval model::  23%|██▎       | 117/500 [00:06<00:19, 19.58it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:20, 18.41it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:19, 19.67it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.52it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 20.64it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.21it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.23it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:17, 20.49it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:16, 21.26it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.01it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 19.98it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.08it/s]
eval model::  31%|███       | 153/500 [00:07<00:18, 18.90it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 20.53it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:16, 20.74it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:17, 18.87it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:16, 19.72it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 19.43it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:16, 19.65it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:17, 18.66it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:15, 20.19it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:15, 20.34it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:14, 21.37it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:13, 22.78it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:13, 22.70it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:13, 23.69it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:13, 21.87it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:13, 22.21it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 21.01it/s]
eval model::  41%|████      | 204/500 [00:10<00:14, 20.81it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:21, 13.71it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:20, 14.53it/s]
eval model::  42%|████▏     | 212/500 [00:10<00:17, 16.49it/s]
eval model::  43%|████▎     | 214/500 [00:11<00:16, 16.98it/s]
eval model::  43%|████▎     | 216/500 [00:11<00:18, 15.37it/s]
eval model::  44%|████▎     | 218/500 [00:11<00:17, 15.74it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:15, 18.10it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:14, 19.57it/s]
eval model::  45%|████▌     | 227/500 [00:11<00:14, 19.15it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:12, 21.13it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:11, 22.63it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:10, 24.06it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:11, 21.99it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:12, 19.91it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:12, 20.81it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:11, 21.27it/s]
eval model::  50%|█████     | 251/500 [00:12<00:11, 21.09it/s]
eval model::  51%|█████     | 254/500 [00:12<00:11, 21.60it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.45it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 20.35it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 19.76it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:12, 19.31it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:11, 20.74it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:11, 20.37it/s]
eval model::  55%|█████▍    | 274/500 [00:13<00:11, 20.40it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:10, 20.97it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:10, 20.39it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:10, 20.47it/s]
eval model::  57%|█████▋    | 286/500 [00:14<00:12, 17.48it/s]
eval model::  58%|█████▊    | 289/500 [00:14<00:10, 19.96it/s]
eval model::  58%|█████▊    | 292/500 [00:14<00:09, 21.40it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:11, 18.20it/s]
eval model::  60%|█████▉    | 298/500 [00:15<00:09, 20.29it/s]
eval model::  60%|██████    | 301/500 [00:15<00:10, 19.74it/s]
eval model::  61%|██████    | 304/500 [00:15<00:09, 19.67it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:09, 21.28it/s]
eval model::  62%|██████▏   | 310/500 [00:15<00:08, 21.56it/s]
eval model::  63%|██████▎   | 313/500 [00:15<00:08, 22.66it/s]
eval model::  63%|██████▎   | 316/500 [00:15<00:08, 22.64it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 21.67it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:08, 20.39it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:08, 21.16it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:08, 20.99it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:09, 18.77it/s]
eval model::  67%|██████▋   | 334/500 [00:16<00:07, 20.81it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 19.98it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:08, 18.13it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:08, 19.60it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 20.73it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:06, 22.43it/s]
eval model::  70%|███████   | 352/500 [00:17<00:07, 20.63it/s]
eval model::  71%|███████   | 355/500 [00:17<00:07, 19.95it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 20.53it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 20.23it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 18.56it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:07, 18.57it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 19.52it/s]
eval model::  75%|███████▍  | 373/500 [00:18<00:06, 20.88it/s]
eval model::  75%|███████▌  | 376/500 [00:18<00:05, 21.42it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 23.20it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 23.08it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 22.19it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:05, 18.98it/s]
eval model::  78%|███████▊  | 391/500 [00:19<00:05, 21.10it/s]
eval model::  79%|███████▉  | 394/500 [00:19<00:04, 21.28it/s]
eval model::  79%|███████▉  | 397/500 [00:19<00:04, 21.80it/s]
eval model::  80%|████████  | 400/500 [00:20<00:04, 20.60it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 21.73it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 20.25it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:04, 21.04it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:04, 19.84it/s]
eval model::  83%|████████▎ | 415/500 [00:20<00:04, 20.06it/s]
eval model::  84%|████████▎ | 418/500 [00:20<00:04, 19.31it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 18.06it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:03, 19.36it/s]
eval model::  85%|████████▌ | 425/500 [00:21<00:03, 18.87it/s]
eval model::  86%|████████▌ | 428/500 [00:21<00:03, 20.66it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 22.45it/s]
eval model::  87%|████████▋ | 434/500 [00:21<00:03, 20.96it/s]
eval model::  87%|████████▋ | 437/500 [00:21<00:03, 20.37it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:03, 19.34it/s]
eval model::  89%|████████▊ | 443/500 [00:22<00:02, 19.56it/s]
eval model::  89%|████████▉ | 446/500 [00:22<00:02, 20.54it/s]
eval model::  90%|████████▉ | 449/500 [00:22<00:02, 17.95it/s]
eval model::  90%|█████████ | 452/500 [00:22<00:02, 19.09it/s]
eval model::  91%|█████████ | 455/500 [00:22<00:02, 18.93it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:02, 19.48it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:02, 18.99it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:02, 19.00it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:01, 18.44it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:01, 18.45it/s]
eval model::  94%|█████████▍| 469/500 [00:23<00:01, 20.78it/s]
eval model::  94%|█████████▍| 472/500 [00:23<00:01, 19.92it/s]
eval model::  95%|█████████▌| 475/500 [00:23<00:01, 20.54it/s]
eval model::  96%|█████████▌| 478/500 [00:23<00:01, 21.93it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 21.64it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 20.94it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 20.46it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 21.33it/s]
eval model::  99%|█████████▊| 493/500 [00:24<00:00, 20.38it/s]
eval model::  99%|█████████▉| 496/500 [00:24<00:00, 20.44it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 19.88it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.93it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:34, 14.40it/s]
eval model::   1%|          | 5/500 [00:00<00:24, 20.07it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 17.82it/s]
eval model::   2%|▏         | 11/500 [00:00<00:24, 20.07it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 20.17it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.24it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.64it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 20.83it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 21.08it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.85it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 20.51it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 19.81it/s]
eval model::   8%|▊         | 38/500 [00:01<00:26, 17.66it/s]
eval model::   8%|▊         | 40/500 [00:02<00:26, 17.04it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.60it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.05it/s]
eval model::   9%|▉         | 47/500 [00:02<00:24, 18.51it/s]
eval model::  10%|█         | 50/500 [00:02<00:22, 20.18it/s]
eval model::  11%|█         | 53/500 [00:02<00:22, 19.50it/s]
eval model::  11%|█         | 55/500 [00:02<00:22, 19.46it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:23, 19.23it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:21, 20.63it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:24, 17.68it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:21, 20.06it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:21, 19.90it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:22, 19.35it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:22, 18.95it/s]
eval model::  15%|█▌        | 77/500 [00:04<00:24, 17.61it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:21, 19.66it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:23, 18.13it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:23, 17.77it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:21, 18.82it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:25, 16.36it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 17.99it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:22, 18.22it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:20, 19.83it/s]
eval model::  20%|██        | 101/500 [00:05<00:20, 19.13it/s]
eval model::  21%|██        | 103/500 [00:05<00:20, 19.27it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.70it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:17, 22.77it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:17, 21.65it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:19, 19.40it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:19, 19.97it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.47it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 18.83it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 19.67it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:20, 18.22it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:19, 18.97it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:18, 19.77it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:17, 20.34it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.71it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:17, 20.32it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 19.56it/s]
eval model::  30%|███       | 151/500 [00:07<00:18, 18.82it/s]
eval model::  31%|███       | 155/500 [00:07<00:16, 21.44it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:14, 23.54it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:15, 21.49it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:16, 20.78it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:15, 21.23it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:16, 19.92it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:17, 19.05it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:14, 22.12it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:15, 19.99it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:15, 19.97it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 19.89it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:16, 19.05it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:16, 18.61it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:16, 18.73it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:17, 17.31it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:16, 17.78it/s]
eval model::  40%|████      | 201/500 [00:10<00:16, 17.83it/s]
eval model::  41%|████      | 204/500 [00:10<00:16, 18.12it/s]
eval model::  41%|████      | 206/500 [00:10<00:25, 11.74it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:23, 12.42it/s]
eval model::  42%|████▏     | 210/500 [00:11<00:21, 13.34it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:18, 15.78it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:20, 13.60it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:20, 13.57it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 16.31it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 15.91it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 18.77it/s]
eval model::  46%|████▌     | 228/500 [00:12<00:12, 21.00it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:10, 24.67it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 21.08it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 22.21it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:12, 21.54it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:12, 20.86it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:12, 20.80it/s]
eval model::  50%|█████     | 250/500 [00:13<00:13, 18.52it/s]
eval model::  51%|█████     | 253/500 [00:13<00:11, 20.78it/s]
eval model::  51%|█████     | 256/500 [00:13<00:13, 18.54it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:12, 19.66it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:11, 20.40it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:12, 19.46it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:11, 20.67it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:10, 21.64it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:10, 21.99it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:10, 21.73it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:10, 21.99it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:10, 19.78it/s]
eval model::  57%|█████▋    | 286/500 [00:15<00:14, 14.28it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:13, 15.91it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:11, 17.36it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 17.07it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:12, 16.75it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 18.74it/s]
eval model::  60%|██████    | 301/500 [00:15<00:11, 17.43it/s]
eval model::  61%|██████    | 304/500 [00:16<00:10, 18.08it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:09, 20.38it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:08, 21.68it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:08, 23.22it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:07, 23.25it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:06, 26.04it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 21.98it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:08, 21.60it/s]
eval model::  66%|██████▌   | 329/500 [00:17<00:08, 20.27it/s]
eval model::  66%|██████▋   | 332/500 [00:17<00:08, 19.64it/s]
eval model::  67%|██████▋   | 335/500 [00:17<00:08, 19.25it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 18.93it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:10, 15.20it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:08, 17.62it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:07, 19.79it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:06, 21.64it/s]
eval model::  70%|███████   | 352/500 [00:18<00:06, 22.76it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 22.70it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 20.64it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:07, 18.58it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 18.99it/s]
eval model::  73%|███████▎  | 366/500 [00:19<00:07, 19.06it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 19.57it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:06, 19.24it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:05, 21.55it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 23.37it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:05, 23.22it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:05, 22.78it/s]
eval model::  77%|███████▋  | 386/500 [00:20<00:07, 15.59it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:06, 17.10it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 17.85it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:05, 19.13it/s]
eval model::  80%|███████▉  | 398/500 [00:20<00:04, 20.84it/s]
eval model::  80%|████████  | 401/500 [00:20<00:05, 18.23it/s]
eval model::  81%|████████  | 404/500 [00:20<00:04, 19.26it/s]
eval model::  81%|████████▏ | 407/500 [00:21<00:04, 20.85it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 21.75it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:04, 19.88it/s]
eval model::  83%|████████▎ | 416/500 [00:21<00:04, 19.86it/s]
eval model::  84%|████████▍ | 419/500 [00:21<00:04, 19.34it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:04, 16.29it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 17.03it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 17.59it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 20.34it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 21.36it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 24.24it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 22.54it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 21.44it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 22.91it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 22.28it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 21.02it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 19.23it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:02, 19.73it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 20.03it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 19.55it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 16.56it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 17.95it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 19.61it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 19.42it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 20.71it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:01, 19.20it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 21.16it/s]
eval model::  97%|█████████▋| 486/500 [00:25<00:00, 20.97it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 22.31it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 21.50it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 21.78it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 24.89it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.52it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:35, 13.85it/s]
eval model::   1%|          | 4/500 [00:00<00:30, 16.51it/s]
eval model::   1%|          | 6/500 [00:00<00:30, 16.44it/s]
eval model::   2%|▏         | 8/500 [00:00<00:28, 17.28it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 19.47it/s]
eval model::   3%|▎         | 13/500 [00:00<00:25, 19.19it/s]
eval model::   3%|▎         | 15/500 [00:00<00:26, 18.55it/s]
eval model::   4%|▎         | 18/500 [00:00<00:24, 19.40it/s]
eval model::   4%|▍         | 20/500 [00:01<00:27, 17.52it/s]
eval model::   5%|▍         | 23/500 [00:01<00:25, 18.89it/s]
eval model::   5%|▌         | 25/500 [00:01<00:24, 19.14it/s]
eval model::   6%|▌         | 28/500 [00:01<00:23, 20.00it/s]
eval model::   6%|▌         | 31/500 [00:01<00:23, 20.18it/s]
eval model::   7%|▋         | 34/500 [00:01<00:21, 21.22it/s]
eval model::   7%|▋         | 37/500 [00:01<00:20, 23.08it/s]
eval model::   8%|▊         | 40/500 [00:02<00:22, 20.45it/s]
eval model::   9%|▊         | 43/500 [00:02<00:22, 20.65it/s]
eval model::   9%|▉         | 46/500 [00:02<00:20, 21.65it/s]
eval model::  10%|▉         | 49/500 [00:02<00:20, 22.49it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 21.04it/s]
eval model::  11%|█         | 55/500 [00:02<00:20, 21.70it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:21, 20.51it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:23, 18.58it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:22, 19.72it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:19, 21.73it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:20, 21.39it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:21, 20.16it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 21.37it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:20, 20.54it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.35it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 21.56it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:19, 21.60it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:19, 21.01it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 20.07it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:19, 20.50it/s]
eval model::  20%|██        | 100/500 [00:04<00:19, 20.35it/s]
eval model::  21%|██        | 103/500 [00:05<00:19, 20.10it/s]
eval model::  21%|██        | 106/500 [00:05<00:18, 21.55it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:18, 21.24it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:19, 19.74it/s]
eval model::  23%|██▎       | 115/500 [00:05<00:20, 19.01it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:19, 19.21it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:20, 18.41it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:21, 17.34it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.26it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.36it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:18, 19.82it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:19, 19.19it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:18, 20.04it/s]
eval model::  27%|██▋       | 137/500 [00:06<00:16, 21.42it/s]
eval model::  28%|██▊       | 140/500 [00:06<00:17, 20.65it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.34it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:17, 19.71it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:17, 20.35it/s]
eval model::  30%|███       | 152/500 [00:07<00:17, 19.47it/s]
eval model::  31%|███       | 155/500 [00:07<00:17, 19.69it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:17, 20.00it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:18, 18.51it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:18, 18.54it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:16, 19.66it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 18.78it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 18.36it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:17, 18.91it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:16, 19.72it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:17, 17.91it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:15, 20.37it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:13, 22.44it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:13, 22.81it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:13, 22.73it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:13, 22.26it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:13, 23.10it/s]
eval model::  40%|████      | 201/500 [00:09<00:13, 21.43it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.78it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 15.25it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:18, 16.03it/s]
eval model::  42%|████▏     | 212/500 [00:10<00:15, 18.16it/s]
eval model::  43%|████▎     | 215/500 [00:10<00:16, 17.70it/s]
eval model::  43%|████▎     | 217/500 [00:10<00:15, 17.77it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:13, 20.11it/s]
eval model::  45%|████▍     | 223/500 [00:11<00:14, 19.07it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:12, 21.36it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:10, 25.05it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:10, 25.64it/s]
eval model::  47%|████▋     | 236/500 [00:11<00:10, 24.89it/s]
eval model::  48%|████▊     | 239/500 [00:11<00:12, 21.70it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:14, 18.32it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:13, 18.72it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:14, 17.97it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:13, 18.26it/s]
eval model::  50%|█████     | 251/500 [00:12<00:14, 17.64it/s]
eval model::  51%|█████     | 254/500 [00:12<00:12, 19.50it/s]
eval model::  51%|█████     | 256/500 [00:12<00:12, 19.60it/s]
eval model::  52%|█████▏    | 259/500 [00:12<00:12, 19.33it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:13, 18.02it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:13, 17.79it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 19.56it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:11, 19.74it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:10, 20.77it/s]
eval model::  55%|█████▌    | 276/500 [00:13<00:11, 20.10it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 18.54it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 19.27it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:12, 16.63it/s]
eval model::  58%|█████▊    | 289/500 [00:14<00:10, 20.20it/s]
eval model::  58%|█████▊    | 292/500 [00:14<00:09, 21.66it/s]
eval model::  59%|█████▉    | 295/500 [00:14<00:10, 19.20it/s]
eval model::  60%|█████▉    | 299/500 [00:14<00:09, 22.24it/s]
eval model::  60%|██████    | 302/500 [00:15<00:09, 20.61it/s]
eval model::  61%|██████    | 305/500 [00:15<00:10, 19.41it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:09, 19.30it/s]
eval model::  62%|██████▏   | 311/500 [00:15<00:09, 20.63it/s]
eval model::  63%|██████▎   | 314/500 [00:15<00:09, 19.58it/s]
eval model::  63%|██████▎   | 317/500 [00:15<00:09, 19.96it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:08, 20.60it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 19.68it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:08, 21.07it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:08, 19.83it/s]
eval model::  66%|██████▋   | 332/500 [00:16<00:08, 18.88it/s]
eval model::  67%|██████▋   | 334/500 [00:16<00:08, 18.88it/s]
eval model::  67%|██████▋   | 336/500 [00:16<00:09, 17.18it/s]
eval model::  68%|██████▊   | 338/500 [00:17<00:09, 17.67it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:11, 14.41it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:09, 17.33it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 19.25it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:07, 20.82it/s]
eval model::  70%|███████   | 352/500 [00:17<00:07, 20.21it/s]
eval model::  71%|███████   | 355/500 [00:17<00:07, 19.54it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:07, 20.09it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 20.90it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:06, 21.38it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:06, 21.49it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:05, 22.01it/s]
eval model::  75%|███████▍  | 373/500 [00:18<00:05, 22.91it/s]
eval model::  75%|███████▌  | 376/500 [00:18<00:05, 22.42it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 21.46it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:06, 19.57it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 20.01it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:06, 16.69it/s]
eval model::  78%|███████▊  | 391/500 [00:19<00:06, 18.00it/s]
eval model::  79%|███████▉  | 394/500 [00:19<00:05, 19.36it/s]
eval model::  79%|███████▉  | 397/500 [00:19<00:04, 20.60it/s]
eval model::  80%|████████  | 400/500 [00:20<00:04, 21.22it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 21.40it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 21.50it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:04, 21.09it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:04, 20.77it/s]
eval model::  83%|████████▎ | 415/500 [00:20<00:04, 19.85it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 18.42it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 17.37it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 17.11it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 17.31it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 19.13it/s]
eval model::  86%|████████▌ | 430/500 [00:21<00:03, 21.48it/s]
eval model::  87%|████████▋ | 433/500 [00:21<00:02, 23.38it/s]
eval model::  87%|████████▋ | 436/500 [00:21<00:02, 22.80it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 21.86it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 22.38it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 21.85it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 19.86it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 18.70it/s]
eval model::  91%|█████████ | 453/500 [00:22<00:02, 18.69it/s]
eval model::  91%|█████████ | 455/500 [00:22<00:02, 18.23it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:02, 19.49it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:02, 19.53it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:02, 18.57it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 19.10it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 21.34it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 21.89it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 20.21it/s]
eval model::  95%|█████████▌| 477/500 [00:23<00:01, 22.47it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 21.60it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 22.59it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 20.34it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 21.26it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 19.83it/s]
eval model::  99%|█████████▉| 495/500 [00:24<00:00, 21.30it/s]
eval model:: 100%|█████████▉| 498/500 [00:24<00:00, 21.67it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.98it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:38, 12.79it/s]
eval model::   1%|          | 5/500 [00:00<00:23, 20.74it/s]
eval model::   2%|▏         | 8/500 [00:00<00:25, 19.52it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 19.05it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 19.14it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.52it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 19.05it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.26it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 21.49it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 20.80it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 20.87it/s]
eval model::   7%|▋         | 35/500 [00:01<00:22, 20.69it/s]
eval model::   8%|▊         | 38/500 [00:01<00:21, 21.11it/s]
eval model::   8%|▊         | 41/500 [00:02<00:22, 20.78it/s]
eval model::   9%|▉         | 44/500 [00:02<00:21, 20.86it/s]
eval model::   9%|▉         | 47/500 [00:02<00:23, 19.65it/s]
eval model::  10%|█         | 50/500 [00:02<00:22, 20.08it/s]
eval model::  11%|█         | 53/500 [00:02<00:21, 20.45it/s]
eval model::  11%|█         | 56/500 [00:02<00:22, 19.90it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:21, 20.74it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:26, 16.84it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:25, 17.11it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:22, 18.93it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:21, 20.37it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:21, 20.07it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:19, 21.39it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:19, 21.75it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:19, 21.51it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 21.62it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:19, 21.35it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:21, 19.25it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:21, 19.20it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:20, 20.14it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:19, 20.34it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.20it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 19.76it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:20, 19.47it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:20, 19.15it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:21, 17.95it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:20, 19.08it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 20.19it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:20, 18.55it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.90it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:18, 19.73it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 18.79it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 17.60it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:20, 18.11it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:18, 19.95it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:18, 19.43it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 21.02it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 21.28it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:16, 21.29it/s]
eval model::  30%|███       | 151/500 [00:07<00:17, 20.17it/s]
eval model::  31%|███       | 154/500 [00:07<00:16, 21.58it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:15, 22.14it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:17, 19.13it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:16, 20.22it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:15, 21.61it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 19.87it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 19.70it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:16, 19.68it/s]
eval model::  36%|███▌      | 178/500 [00:08<00:15, 21.18it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:17, 18.75it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:15, 20.40it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 20.53it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 19.47it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:14, 21.17it/s]
eval model::  39%|███▉      | 196/500 [00:09<00:15, 19.64it/s]
eval model::  40%|███▉      | 199/500 [00:09<00:15, 19.45it/s]
eval model::  40%|████      | 202/500 [00:10<00:15, 19.71it/s]
eval model::  41%|████      | 205/500 [00:10<00:17, 16.41it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:17, 17.09it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:17, 16.23it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:17, 16.85it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:16, 17.05it/s]
eval model::  43%|████▎     | 215/500 [00:10<00:17, 16.59it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:17, 16.40it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:15, 17.88it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:16, 16.81it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 18.58it/s]
eval model::  45%|████▌     | 227/500 [00:11<00:14, 18.44it/s]
eval model::  46%|████▌     | 231/500 [00:11<00:12, 21.74it/s]
eval model::  47%|████▋     | 234/500 [00:11<00:12, 21.73it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:11, 23.16it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:10, 23.77it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:11, 22.33it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:11, 22.88it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:11, 22.07it/s]
eval model::  50%|█████     | 252/500 [00:12<00:11, 20.78it/s]
eval model::  51%|█████     | 255/500 [00:12<00:11, 20.89it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 20.28it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 20.29it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 19.71it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 20.47it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:11, 20.72it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:11, 19.19it/s]
eval model::  55%|█████▌    | 275/500 [00:13<00:11, 18.91it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 20.05it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.45it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 20.24it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:14, 14.34it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:11, 17.65it/s]
eval model::  59%|█████▉    | 294/500 [00:14<00:11, 17.91it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:11, 17.67it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 19.98it/s]
eval model::  60%|██████    | 302/500 [00:15<00:10, 19.69it/s]
eval model::  61%|██████    | 305/500 [00:15<00:09, 20.51it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:08, 21.44it/s]
eval model::  62%|██████▏   | 311/500 [00:15<00:09, 19.35it/s]
eval model::  63%|██████▎   | 314/500 [00:15<00:09, 19.39it/s]
eval model::  63%|██████▎   | 317/500 [00:16<00:08, 20.76it/s]
eval model::  64%|██████▍   | 320/500 [00:16<00:09, 19.91it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:08, 19.93it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:08, 19.37it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:08, 19.24it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:08, 20.17it/s]
eval model::  67%|██████▋   | 334/500 [00:16<00:08, 20.67it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 19.28it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:09, 16.03it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:08, 18.04it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 19.95it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:07, 21.46it/s]
eval model::  70%|███████   | 352/500 [00:17<00:06, 22.20it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 20.47it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 21.00it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 20.00it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 18.72it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:06, 19.68it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 20.48it/s]
eval model::  75%|███████▍  | 373/500 [00:18<00:06, 20.30it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 21.53it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 21.10it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 20.66it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 20.29it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:07, 14.96it/s]
eval model::  78%|███████▊  | 391/500 [00:19<00:06, 16.55it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 18.66it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 19.70it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 18.28it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 20.16it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 21.47it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:04, 21.43it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:04, 21.16it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 21.19it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:03, 20.70it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:04, 16.95it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 16.84it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 18.75it/s]
eval model::  86%|████████▌ | 430/500 [00:21<00:03, 20.92it/s]
eval model::  87%|████████▋ | 433/500 [00:21<00:03, 21.89it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 22.27it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:03, 20.10it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 19.50it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 20.40it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 19.63it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 19.67it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 20.67it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:02, 21.50it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 21.42it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 19.89it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:01, 19.38it/s]
eval model::  94%|█████████▍| 469/500 [00:23<00:01, 20.48it/s]
eval model::  94%|█████████▍| 472/500 [00:23<00:01, 20.35it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 21.17it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 20.18it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 20.71it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 20.91it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 20.71it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 20.75it/s]
eval model::  99%|█████████▊| 493/500 [00:24<00:00, 21.21it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 21.10it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 21.79it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.83it/s]
======================= Modified FLAGS detected =======================
FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False)
FLAGS(name='FLAGS_selected_gpus', current_value='4', default_value='')
=======================================================================
I0801 18:07:00.338388 56562 tcp_utils.cc:130] Successfully connected to 10.8.145.246:52943
I0801 18:07:00.366384 56562 process_group_nccl.cc:120] ProcessGroupNCCL pg_timeout_ 1800000
W0801 18:07:00.379890 56562 gpu_resources.cc:119] Please NOTE: device: 4, GPU Compute Capability: 90.2, Driver API Version: 50724.2, Runtime API Version: 50724.2

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:39, 12.57it/s]
eval model::   1%|          | 5/500 [00:00<00:26, 18.89it/s]
eval model::   2%|▏         | 8/500 [00:00<00:23, 20.51it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 18.10it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 20.12it/s]
eval model::   3%|▎         | 17/500 [00:00<00:21, 22.62it/s]
eval model::   4%|▍         | 20/500 [00:00<00:22, 21.27it/s]
eval model::   5%|▍         | 23/500 [00:01<00:20, 23.03it/s]
eval model::   5%|▌         | 26/500 [00:01<00:21, 22.33it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.56it/s]
eval model::   6%|▋         | 32/500 [00:01<00:25, 18.03it/s]
eval model::   7%|▋         | 34/500 [00:01<00:26, 17.92it/s]
eval model::   7%|▋         | 37/500 [00:01<00:23, 19.82it/s]
eval model::   8%|▊         | 40/500 [00:01<00:22, 20.13it/s]
eval model::   9%|▊         | 43/500 [00:02<00:22, 20.66it/s]
eval model::   9%|▉         | 46/500 [00:02<00:22, 20.29it/s]
eval model::  10%|▉         | 49/500 [00:02<00:21, 21.36it/s]
eval model::  10%|█         | 52/500 [00:02<00:22, 19.64it/s]
eval model::  11%|█         | 55/500 [00:02<00:22, 20.23it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:21, 20.20it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:24, 18.22it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:23, 18.42it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:23, 18.65it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:22, 18.88it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:23, 18.05it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:22, 19.02it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:20, 20.51it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:19, 21.64it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.73it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:18, 23.01it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:18, 22.22it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:19, 21.08it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:19, 21.35it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:19, 21.13it/s]
eval model::  20%|██        | 100/500 [00:04<00:20, 19.72it/s]
eval model::  21%|██        | 104/500 [00:05<00:17, 22.60it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 21.50it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:17, 22.69it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:19, 20.10it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:17, 21.49it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:18, 20.10it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:19, 19.15it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.04it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 19.91it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:19, 18.99it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:18, 20.22it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:17, 21.40it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:16, 21.77it/s]
eval model::  28%|██▊       | 142/500 [00:06<00:16, 21.81it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:15, 22.23it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:15, 22.00it/s]
eval model::  30%|███       | 151/500 [00:07<00:16, 20.73it/s]
eval model::  31%|███       | 154/500 [00:07<00:16, 21.47it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:16, 21.22it/s]
eval model::  32%|███▏      | 160/500 [00:07<00:19, 17.71it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:17, 19.41it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:15, 21.00it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 20.58it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 19.89it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:17, 18.27it/s]
eval model::  36%|███▌      | 178/500 [00:08<00:16, 19.99it/s]
eval model::  36%|███▌      | 181/500 [00:08<00:17, 18.30it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 19.37it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 20.16it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 19.82it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:14, 20.70it/s]
eval model::  39%|███▉      | 196/500 [00:09<00:14, 20.57it/s]
eval model::  40%|███▉      | 199/500 [00:09<00:14, 21.18it/s]
eval model::  40%|████      | 202/500 [00:09<00:14, 20.26it/s]
eval model::  41%|████      | 205/500 [00:10<00:20, 14.33it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 15.63it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:17, 16.29it/s]
eval model::  43%|████▎     | 214/500 [00:10<00:14, 20.28it/s]
eval model::  43%|████▎     | 217/500 [00:10<00:17, 16.25it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:15, 18.09it/s]
eval model::  45%|████▍     | 223/500 [00:11<00:14, 18.56it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:13, 20.43it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:13, 20.44it/s]
eval model::  46%|████▋     | 232/500 [00:11<00:12, 22.00it/s]
eval model::  47%|████▋     | 235/500 [00:11<00:11, 23.12it/s]
eval model::  48%|████▊     | 238/500 [00:11<00:10, 24.24it/s]
eval model::  48%|████▊     | 241/500 [00:11<00:11, 22.89it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:11, 22.83it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:10, 23.82it/s]
eval model::  50%|█████     | 250/500 [00:12<00:11, 21.70it/s]
eval model::  51%|█████     | 253/500 [00:12<00:11, 22.01it/s]
eval model::  51%|█████     | 256/500 [00:12<00:11, 20.70it/s]
eval model::  52%|█████▏    | 259/500 [00:12<00:13, 17.65it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:12, 18.71it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:11, 19.71it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:11, 20.33it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:11, 20.43it/s]
eval model::  55%|█████▍    | 274/500 [00:13<00:11, 19.95it/s]
eval model::  55%|█████▌    | 277/500 [00:13<00:11, 19.20it/s]
eval model::  56%|█████▌    | 279/500 [00:13<00:11, 18.85it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.43it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:13, 16.35it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:11, 18.28it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:10, 19.75it/s]
eval model::  59%|█████▉    | 294/500 [00:14<00:11, 18.02it/s]
eval model::  59%|█████▉    | 296/500 [00:14<00:12, 16.99it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 18.40it/s]
eval model::  60%|██████    | 301/500 [00:15<00:11, 17.24it/s]
eval model::  61%|██████    | 304/500 [00:15<00:11, 17.44it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:10, 18.99it/s]
eval model::  62%|██████▏   | 309/500 [00:15<00:10, 19.05it/s]
eval model::  62%|██████▏   | 312/500 [00:15<00:09, 20.00it/s]
eval model::  63%|██████▎   | 315/500 [00:15<00:08, 20.57it/s]
eval model::  64%|██████▎   | 318/500 [00:15<00:08, 21.37it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:07, 22.87it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:08, 21.57it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:07, 22.68it/s]
eval model::  66%|██████▌   | 330/500 [00:16<00:07, 22.83it/s]
eval model::  67%|██████▋   | 333/500 [00:16<00:07, 22.09it/s]
eval model::  67%|██████▋   | 336/500 [00:16<00:08, 20.32it/s]
eval model::  68%|██████▊   | 339/500 [00:16<00:07, 21.12it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:08, 19.20it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 21.42it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:06, 22.40it/s]
eval model::  70%|███████   | 352/500 [00:17<00:06, 21.91it/s]
eval model::  71%|███████   | 355/500 [00:17<00:07, 20.11it/s]
eval model::  72%|███████▏  | 358/500 [00:17<00:06, 20.59it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:07, 18.37it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 17.82it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 17.35it/s]
eval model::  74%|███████▎  | 368/500 [00:18<00:07, 17.80it/s]
eval model::  74%|███████▍  | 371/500 [00:18<00:06, 19.77it/s]
eval model::  75%|███████▍  | 374/500 [00:18<00:05, 21.77it/s]
eval model::  75%|███████▌  | 377/500 [00:18<00:05, 22.28it/s]
eval model::  76%|███████▌  | 380/500 [00:18<00:05, 21.88it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:05, 22.92it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:06, 16.89it/s]
eval model::  78%|███████▊  | 389/500 [00:19<00:05, 18.77it/s]
eval model::  78%|███████▊  | 392/500 [00:19<00:05, 19.77it/s]
eval model::  79%|███████▉  | 395/500 [00:19<00:05, 20.09it/s]
eval model::  80%|███████▉  | 398/500 [00:19<00:04, 21.30it/s]
eval model::  80%|████████  | 401/500 [00:20<00:04, 20.87it/s]
eval model::  81%|████████  | 404/500 [00:20<00:04, 20.69it/s]
eval model::  81%|████████▏ | 407/500 [00:20<00:04, 20.82it/s]
eval model::  82%|████████▏ | 410/500 [00:20<00:04, 20.03it/s]
eval model::  83%|████████▎ | 413/500 [00:20<00:04, 20.81it/s]
eval model::  83%|████████▎ | 416/500 [00:20<00:04, 19.56it/s]
eval model::  84%|████████▎ | 418/500 [00:20<00:04, 19.50it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 16.50it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:04, 18.12it/s]
eval model::  85%|████████▌ | 425/500 [00:21<00:04, 17.67it/s]
eval model::  86%|████████▌ | 428/500 [00:21<00:03, 19.85it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 20.97it/s]
eval model::  87%|████████▋ | 434/500 [00:21<00:02, 22.15it/s]
eval model::  87%|████████▋ | 437/500 [00:21<00:02, 21.47it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:03, 19.24it/s]
eval model::  89%|████████▊ | 443/500 [00:22<00:02, 21.01it/s]
eval model::  89%|████████▉ | 446/500 [00:22<00:02, 20.98it/s]
eval model::  90%|████████▉ | 449/500 [00:22<00:02, 20.25it/s]
eval model::  90%|█████████ | 452/500 [00:22<00:02, 21.49it/s]
eval model::  91%|█████████ | 455/500 [00:22<00:02, 20.39it/s]
eval model::  92%|█████████▏| 458/500 [00:22<00:02, 20.21it/s]
eval model::  92%|█████████▏| 461/500 [00:22<00:01, 22.04it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:01, 20.43it/s]
eval model::  93%|█████████▎| 467/500 [00:23<00:01, 19.72it/s]
eval model::  94%|█████████▍| 470/500 [00:23<00:01, 20.51it/s]
eval model::  95%|█████████▍| 473/500 [00:23<00:01, 19.26it/s]
eval model::  95%|█████████▌| 475/500 [00:23<00:01, 18.47it/s]
eval model::  96%|█████████▌| 478/500 [00:23<00:01, 19.53it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:01, 18.47it/s]
eval model::  96%|█████████▋| 482/500 [00:24<00:00, 18.45it/s]
eval model::  97%|█████████▋| 485/500 [00:24<00:00, 19.73it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 18.93it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 18.72it/s]
eval model::  98%|█████████▊| 491/500 [00:24<00:00, 18.23it/s]
eval model::  99%|█████████▉| 494/500 [00:24<00:00, 19.51it/s]
eval model::  99%|█████████▉| 497/500 [00:24<00:00, 21.93it/s]
eval model:: 100%|██████████| 500/500 [00:24<00:00, 20.05it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:02,  8.04it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.05it/s]
eval model::   1%|          | 6/500 [00:00<00:29, 16.75it/s]
eval model::   2%|▏         | 9/500 [00:00<00:24, 19.91it/s]
eval model::   2%|▏         | 12/500 [00:00<00:24, 19.90it/s]
eval model::   3%|▎         | 15/500 [00:00<00:25, 18.81it/s]
eval model::   4%|▎         | 18/500 [00:00<00:24, 19.55it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.69it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 21.27it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.24it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.46it/s]
eval model::   6%|▋         | 32/500 [00:01<00:21, 21.61it/s]
eval model::   7%|▋         | 35/500 [00:01<00:22, 21.10it/s]
eval model::   8%|▊         | 38/500 [00:01<00:23, 20.07it/s]
eval model::   8%|▊         | 41/500 [00:02<00:22, 20.26it/s]
eval model::   9%|▉         | 44/500 [00:02<00:21, 20.98it/s]
eval model::   9%|▉         | 47/500 [00:02<00:21, 21.36it/s]
eval model::  10%|█         | 50/500 [00:02<00:20, 21.62it/s]
eval model::  11%|█         | 53/500 [00:02<00:20, 21.31it/s]
eval model::  11%|█         | 56/500 [00:02<00:20, 21.32it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:20, 21.17it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:23, 18.65it/s]
eval model::  13%|█▎        | 65/500 [00:03<00:21, 19.78it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:20, 21.19it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:18, 22.63it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:19, 21.51it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:20, 20.30it/s]
eval model::  16%|█▌        | 80/500 [00:03<00:20, 20.81it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 20.99it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:19, 21.17it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:19, 20.60it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:19, 20.88it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:20, 20.20it/s]
eval model::  20%|█▉        | 98/500 [00:04<00:20, 20.06it/s]
eval model::  20%|██        | 101/500 [00:04<00:19, 20.38it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 19.82it/s]
eval model::  21%|██        | 106/500 [00:05<00:19, 19.75it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:20, 19.48it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 19.19it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:19, 19.78it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:19, 19.31it/s]
eval model::  24%|██▎       | 118/500 [00:05<00:20, 19.03it/s]
eval model::  24%|██▍       | 120/500 [00:05<00:19, 19.26it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.85it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:19, 19.67it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 21.25it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:18, 19.94it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:16, 21.92it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:17, 20.83it/s]
eval model::  28%|██▊       | 142/500 [00:06<00:17, 20.74it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:15, 22.30it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:16, 21.16it/s]
eval model::  30%|███       | 151/500 [00:07<00:18, 18.83it/s]
eval model::  31%|███       | 155/500 [00:07<00:15, 22.22it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:15, 21.60it/s]
eval model::  32%|███▏      | 161/500 [00:07<00:18, 18.35it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:18, 18.02it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 19.25it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:16, 19.85it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:16, 19.57it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:18, 17.56it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:16, 19.52it/s]
eval model::  36%|███▌      | 180/500 [00:08<00:16, 19.08it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:16, 19.16it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:14, 22.38it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.92it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 21.03it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:16, 19.05it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:14, 20.82it/s]
eval model::  40%|████      | 201/500 [00:09<00:14, 20.08it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.77it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:18, 15.75it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:18, 16.00it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:15, 18.35it/s]
eval model::  43%|████▎     | 216/500 [00:10<00:15, 17.89it/s]
eval model::  44%|████▎     | 218/500 [00:10<00:16, 17.10it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:14, 18.75it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:13, 20.64it/s]
eval model::  45%|████▌     | 227/500 [00:11<00:12, 22.02it/s]
eval model::  46%|████▌     | 231/500 [00:11<00:10, 24.59it/s]
eval model::  47%|████▋     | 234/500 [00:11<00:11, 22.67it/s]
eval model::  48%|████▊     | 238/500 [00:11<00:10, 24.37it/s]
eval model::  48%|████▊     | 241/500 [00:11<00:11, 23.09it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:12, 20.01it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:12, 20.38it/s]
eval model::  50%|█████     | 250/500 [00:12<00:12, 20.17it/s]
eval model::  51%|█████     | 253/500 [00:12<00:11, 21.86it/s]
eval model::  51%|█████     | 256/500 [00:12<00:10, 22.71it/s]
eval model::  52%|█████▏    | 259/500 [00:12<00:10, 22.56it/s]
eval model::  52%|█████▏    | 262/500 [00:12<00:11, 21.26it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:11, 20.69it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:10, 21.23it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:10, 20.93it/s]
eval model::  55%|█████▍    | 274/500 [00:13<00:10, 20.67it/s]
eval model::  55%|█████▌    | 277/500 [00:13<00:10, 20.51it/s]
eval model::  56%|█████▌    | 280/500 [00:13<00:10, 20.04it/s]
eval model::  57%|█████▋    | 283/500 [00:13<00:10, 20.67it/s]
eval model::  57%|█████▋    | 286/500 [00:14<00:14, 14.97it/s]
eval model::  58%|█████▊    | 289/500 [00:14<00:12, 16.52it/s]
eval model::  59%|█████▊    | 293/500 [00:14<00:10, 19.86it/s]
eval model::  59%|█████▉    | 296/500 [00:14<00:11, 18.43it/s]
eval model::  60%|█████▉    | 299/500 [00:14<00:09, 20.55it/s]
eval model::  60%|██████    | 302/500 [00:15<00:10, 19.40it/s]
eval model::  61%|██████    | 305/500 [00:15<00:10, 19.31it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:08, 21.51it/s]
eval model::  62%|██████▏   | 311/500 [00:15<00:08, 22.25it/s]
eval model::  63%|██████▎   | 314/500 [00:15<00:08, 22.64it/s]
eval model::  63%|██████▎   | 317/500 [00:15<00:08, 21.76it/s]
eval model::  64%|██████▍   | 320/500 [00:15<00:08, 21.88it/s]
eval model::  65%|██████▍   | 323/500 [00:15<00:08, 21.05it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:08, 21.42it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:08, 21.24it/s]
eval model::  66%|██████▋   | 332/500 [00:16<00:07, 21.50it/s]
eval model::  67%|██████▋   | 335/500 [00:16<00:07, 22.79it/s]
eval model::  68%|██████▊   | 338/500 [00:16<00:07, 22.48it/s]
eval model::  68%|██████▊   | 341/500 [00:16<00:08, 18.03it/s]
eval model::  69%|██████▉   | 344/500 [00:16<00:07, 20.35it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:06, 22.41it/s]
eval model::  70%|███████   | 350/500 [00:17<00:07, 20.68it/s]
eval model::  71%|███████   | 353/500 [00:17<00:06, 21.04it/s]
eval model::  71%|███████   | 356/500 [00:17<00:07, 19.07it/s]
eval model::  72%|███████▏  | 359/500 [00:17<00:06, 20.89it/s]
eval model::  72%|███████▏  | 362/500 [00:17<00:06, 21.31it/s]
eval model::  73%|███████▎  | 365/500 [00:17<00:06, 20.74it/s]
eval model::  74%|███████▎  | 368/500 [00:18<00:06, 21.02it/s]
eval model::  74%|███████▍  | 371/500 [00:18<00:06, 21.14it/s]
eval model::  75%|███████▌  | 375/500 [00:18<00:05, 23.31it/s]
eval model::  76%|███████▌  | 378/500 [00:18<00:05, 23.30it/s]
eval model::  76%|███████▌  | 381/500 [00:18<00:05, 22.07it/s]
eval model::  77%|███████▋  | 384/500 [00:18<00:05, 22.23it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:07, 15.24it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:06, 16.91it/s]
eval model::  79%|███████▊  | 393/500 [00:19<00:06, 17.77it/s]
eval model::  79%|███████▉  | 396/500 [00:19<00:05, 19.64it/s]
eval model::  80%|███████▉  | 399/500 [00:19<00:04, 21.77it/s]
eval model::  80%|████████  | 402/500 [00:19<00:04, 21.90it/s]
eval model::  81%|████████  | 405/500 [00:19<00:04, 21.81it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:04, 20.67it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:04, 20.27it/s]
eval model::  83%|████████▎ | 414/500 [00:20<00:04, 19.60it/s]
eval model::  83%|████████▎ | 417/500 [00:20<00:04, 19.02it/s]
eval model::  84%|████████▍ | 419/500 [00:20<00:04, 18.71it/s]
eval model::  84%|████████▍ | 421/500 [00:20<00:05, 14.91it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 17.42it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 19.83it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 22.68it/s]
eval model::  87%|████████▋ | 434/500 [00:21<00:02, 22.69it/s]
eval model::  87%|████████▋ | 437/500 [00:21<00:02, 22.06it/s]
eval model::  88%|████████▊ | 440/500 [00:21<00:02, 20.33it/s]
eval model::  89%|████████▊ | 443/500 [00:21<00:02, 20.00it/s]
eval model::  89%|████████▉ | 446/500 [00:22<00:02, 19.81it/s]
eval model::  90%|████████▉ | 449/500 [00:22<00:02, 18.48it/s]
eval model::  90%|█████████ | 452/500 [00:22<00:02, 19.58it/s]
eval model::  91%|█████████ | 455/500 [00:22<00:02, 20.18it/s]
eval model::  92%|█████████▏| 458/500 [00:22<00:02, 18.25it/s]
eval model::  92%|█████████▏| 460/500 [00:22<00:02, 17.43it/s]
eval model::  92%|█████████▏| 462/500 [00:22<00:02, 15.68it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:02, 16.36it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 18.60it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 20.02it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 19.21it/s]
eval model::  95%|█████████▌| 477/500 [00:23<00:01, 21.09it/s]
eval model::  96%|█████████▌| 480/500 [00:23<00:00, 20.87it/s]
eval model::  97%|█████████▋| 483/500 [00:23<00:00, 20.53it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 18.99it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 19.20it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 18.15it/s]
eval model::  99%|█████████▉| 494/500 [00:24<00:00, 17.64it/s]
eval model::  99%|█████████▉| 497/500 [00:24<00:00, 20.03it/s]
eval model:: 100%|██████████| 500/500 [00:24<00:00, 21.33it/s]
eval model:: 100%|██████████| 500/500 [00:24<00:00, 20.11it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:40, 12.35it/s]
eval model::   1%|          | 5/500 [00:00<00:27, 17.87it/s]
eval model::   1%|▏         | 7/500 [00:00<00:27, 18.18it/s]
eval model::   2%|▏         | 9/500 [00:00<00:27, 18.13it/s]
eval model::   2%|▏         | 11/500 [00:00<00:28, 16.93it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.45it/s]
eval model::   3%|▎         | 17/500 [00:00<00:24, 19.78it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.86it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.22it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.49it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 20.97it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 20.65it/s]
eval model::   7%|▋         | 35/500 [00:01<00:22, 20.80it/s]
eval model::   8%|▊         | 38/500 [00:01<00:21, 21.81it/s]
eval model::   8%|▊         | 41/500 [00:02<00:21, 21.71it/s]
eval model::   9%|▉         | 44/500 [00:02<00:22, 20.68it/s]
eval model::   9%|▉         | 47/500 [00:02<00:22, 20.45it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 21.02it/s]
eval model::  11%|█         | 53/500 [00:02<00:21, 21.11it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 20.68it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:22, 20.04it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:22, 19.43it/s]
eval model::  13%|█▎        | 65/500 [00:03<00:21, 20.52it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:20, 21.17it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:23, 18.62it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:22, 18.75it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:20, 20.76it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:20, 20.37it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:21, 19.22it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:21, 19.02it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 18.86it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:22, 17.95it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:23, 17.65it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.09it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:19, 20.57it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:18, 21.74it/s]
eval model::  20%|██        | 102/500 [00:05<00:18, 21.63it/s]
eval model::  21%|██        | 105/500 [00:05<00:17, 22.15it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.27it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:18, 20.48it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 21.24it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 20.96it/s]
eval model::  24%|██▍       | 120/500 [00:05<00:18, 20.82it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.77it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:18, 20.48it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 21.49it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:18, 19.83it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.97it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:17, 20.20it/s]
eval model::  28%|██▊       | 141/500 [00:06<00:16, 21.61it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:16, 21.69it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:17, 19.98it/s]
eval model::  30%|███       | 150/500 [00:07<00:16, 21.04it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 20.78it/s]
eval model::  31%|███       | 156/500 [00:07<00:15, 21.76it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:15, 22.61it/s]
eval model::  32%|███▏      | 162/500 [00:07<00:16, 20.90it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:15, 21.87it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:15, 21.29it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:16, 19.81it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:16, 20.05it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:15, 21.30it/s]
eval model::  36%|███▌      | 180/500 [00:08<00:15, 20.97it/s]
eval model::  37%|███▋      | 183/500 [00:08<00:14, 22.23it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:14, 22.35it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.52it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 20.55it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:15, 19.48it/s]
eval model::  39%|███▉      | 197/500 [00:09<00:15, 19.40it/s]
eval model::  40%|████      | 200/500 [00:09<00:13, 21.46it/s]
eval model::  41%|████      | 203/500 [00:09<00:13, 21.45it/s]
eval model::  41%|████      | 206/500 [00:10<00:17, 16.42it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:16, 17.54it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:17, 16.40it/s]
eval model::  43%|████▎     | 214/500 [00:10<00:15, 18.34it/s]
eval model::  43%|████▎     | 216/500 [00:10<00:17, 16.22it/s]
eval model::  44%|████▎     | 218/500 [00:10<00:18, 15.01it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:15, 17.81it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:14, 19.47it/s]
eval model::  45%|████▌     | 227/500 [00:11<00:13, 20.16it/s]
eval model::  46%|████▌     | 231/500 [00:11<00:11, 23.95it/s]
eval model::  47%|████▋     | 234/500 [00:11<00:11, 23.14it/s]
eval model::  48%|████▊     | 238/500 [00:11<00:10, 25.06it/s]
eval model::  48%|████▊     | 241/500 [00:11<00:10, 23.98it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:12, 20.89it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 21.29it/s]
eval model::  50%|█████     | 250/500 [00:12<00:12, 20.20it/s]
eval model::  51%|█████     | 253/500 [00:12<00:11, 21.59it/s]
eval model::  51%|█████     | 256/500 [00:12<00:11, 21.24it/s]
eval model::  52%|█████▏    | 259/500 [00:12<00:11, 21.28it/s]
eval model::  52%|█████▏    | 262/500 [00:12<00:11, 21.00it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:11, 20.59it/s]
eval model::  54%|█████▎    | 268/500 [00:13<00:10, 21.60it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:10, 21.73it/s]
eval model::  55%|█████▍    | 274/500 [00:13<00:10, 21.41it/s]
eval model::  55%|█████▌    | 277/500 [00:13<00:10, 20.69it/s]
eval model::  56%|█████▌    | 280/500 [00:13<00:10, 20.87it/s]
eval model::  57%|█████▋    | 283/500 [00:13<00:10, 20.93it/s]
eval model::  57%|█████▋    | 286/500 [00:14<00:13, 15.82it/s]
eval model::  58%|█████▊    | 289/500 [00:14<00:11, 18.39it/s]
eval model::  58%|█████▊    | 292/500 [00:14<00:10, 20.30it/s]
eval model::  59%|█████▉    | 295/500 [00:14<00:11, 17.91it/s]
eval model::  60%|█████▉    | 298/500 [00:14<00:10, 20.04it/s]
eval model::  60%|██████    | 301/500 [00:14<00:10, 19.19it/s]
eval model::  61%|██████    | 304/500 [00:15<00:09, 20.80it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:08, 22.21it/s]
eval model::  62%|██████▏   | 310/500 [00:15<00:08, 23.64it/s]
eval model::  63%|██████▎   | 314/500 [00:15<00:07, 24.85it/s]
eval model::  63%|██████▎   | 317/500 [00:15<00:07, 23.76it/s]
eval model::  64%|██████▍   | 320/500 [00:15<00:07, 23.02it/s]
eval model::  65%|██████▍   | 323/500 [00:15<00:08, 21.57it/s]
eval model::  65%|██████▌   | 326/500 [00:15<00:07, 22.77it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:07, 21.52it/s]
eval model::  66%|██████▋   | 332/500 [00:16<00:07, 21.11it/s]
eval model::  67%|██████▋   | 335/500 [00:16<00:07, 21.25it/s]
eval model::  68%|██████▊   | 338/500 [00:16<00:08, 20.11it/s]
eval model::  68%|██████▊   | 341/500 [00:16<00:08, 18.32it/s]
eval model::  69%|██████▉   | 345/500 [00:16<00:07, 21.47it/s]
eval model::  70%|██████▉   | 348/500 [00:17<00:07, 21.40it/s]
eval model::  70%|███████   | 351/500 [00:17<00:07, 20.99it/s]
eval model::  71%|███████   | 354/500 [00:17<00:06, 20.95it/s]
eval model::  71%|███████▏  | 357/500 [00:17<00:07, 19.81it/s]
eval model::  72%|███████▏  | 360/500 [00:17<00:07, 19.12it/s]
eval model::  72%|███████▏  | 362/500 [00:17<00:07, 17.86it/s]
eval model::  73%|███████▎  | 364/500 [00:17<00:07, 17.25it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:06, 19.66it/s]
eval model::  74%|███████▍  | 371/500 [00:18<00:06, 21.48it/s]
eval model::  75%|███████▍  | 374/500 [00:18<00:06, 20.29it/s]
eval model::  75%|███████▌  | 377/500 [00:18<00:06, 19.86it/s]
eval model::  76%|███████▌  | 380/500 [00:18<00:06, 19.37it/s]
eval model::  77%|███████▋  | 383/500 [00:18<00:05, 20.57it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:06, 16.70it/s]
eval model::  78%|███████▊  | 389/500 [00:19<00:05, 19.25it/s]
eval model::  78%|███████▊  | 392/500 [00:19<00:05, 21.34it/s]
eval model::  79%|███████▉  | 395/500 [00:19<00:04, 22.60it/s]
eval model::  80%|███████▉  | 398/500 [00:19<00:04, 22.39it/s]
eval model::  80%|████████  | 401/500 [00:19<00:04, 22.29it/s]
eval model::  81%|████████  | 404/500 [00:19<00:04, 21.49it/s]
eval model::  81%|████████▏ | 407/500 [00:19<00:04, 21.96it/s]
eval model::  82%|████████▏ | 410/500 [00:20<00:04, 20.66it/s]
eval model::  83%|████████▎ | 413/500 [00:20<00:04, 20.86it/s]
eval model::  83%|████████▎ | 416/500 [00:20<00:04, 20.28it/s]
eval model::  84%|████████▍ | 419/500 [00:20<00:04, 20.22it/s]
eval model::  84%|████████▍ | 422/500 [00:20<00:04, 18.91it/s]
eval model::  85%|████████▌ | 425/500 [00:20<00:03, 20.58it/s]
eval model::  86%|████████▌ | 428/500 [00:20<00:03, 22.04it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 21.36it/s]
eval model::  87%|████████▋ | 434/500 [00:21<00:03, 21.53it/s]
eval model::  87%|████████▋ | 437/500 [00:21<00:02, 21.01it/s]
eval model::  88%|████████▊ | 440/500 [00:21<00:03, 19.59it/s]
eval model::  88%|████████▊ | 442/500 [00:21<00:02, 19.50it/s]
eval model::  89%|████████▉ | 444/500 [00:21<00:02, 19.18it/s]
eval model::  89%|████████▉ | 447/500 [00:21<00:02, 20.51it/s]
eval model::  90%|█████████ | 450/500 [00:22<00:02, 18.41it/s]
eval model::  91%|█████████ | 453/500 [00:22<00:02, 19.19it/s]
eval model::  91%|█████████ | 455/500 [00:22<00:02, 19.21it/s]
eval model::  92%|█████████▏| 458/500 [00:22<00:02, 20.37it/s]
eval model::  92%|█████████▏| 461/500 [00:22<00:01, 20.94it/s]
eval model::  93%|█████████▎| 464/500 [00:22<00:01, 19.78it/s]
eval model::  93%|█████████▎| 467/500 [00:22<00:01, 18.51it/s]
eval model::  94%|█████████▍| 470/500 [00:23<00:01, 20.84it/s]
eval model::  95%|█████████▍| 473/500 [00:23<00:01, 20.96it/s]
eval model::  95%|█████████▌| 476/500 [00:23<00:01, 20.48it/s]
eval model::  96%|█████████▌| 479/500 [00:23<00:00, 21.35it/s]
eval model::  96%|█████████▋| 482/500 [00:23<00:00, 19.29it/s]
eval model::  97%|█████████▋| 485/500 [00:23<00:00, 19.89it/s]
eval model::  98%|█████████▊| 488/500 [00:24<00:00, 19.55it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 19.41it/s]
eval model::  99%|█████████▊| 493/500 [00:24<00:00, 20.05it/s]
eval model::  99%|█████████▉| 496/500 [00:24<00:00, 20.36it/s]
eval model:: 100%|█████████▉| 499/500 [00:24<00:00, 20.03it/s]
eval model:: 100%|██████████| 500/500 [00:24<00:00, 20.33it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:52,  9.45it/s]
eval model::   1%|          | 3/500 [00:00<00:33, 14.88it/s]
eval model::   1%|          | 6/500 [00:00<00:28, 17.33it/s]
eval model::   2%|▏         | 9/500 [00:00<00:25, 19.39it/s]
eval model::   2%|▏         | 11/500 [00:00<00:26, 18.25it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.10it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.66it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.45it/s]
eval model::   5%|▍         | 23/500 [00:01<00:21, 21.97it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 21.09it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 22.30it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 19.71it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 19.51it/s]
eval model::   8%|▊         | 38/500 [00:01<00:23, 19.93it/s]
eval model::   8%|▊         | 41/500 [00:02<00:23, 19.32it/s]
eval model::   9%|▊         | 43/500 [00:02<00:23, 19.39it/s]
eval model::   9%|▉         | 46/500 [00:02<00:23, 19.18it/s]
eval model::  10%|▉         | 49/500 [00:02<00:21, 20.83it/s]
eval model::  10%|█         | 52/500 [00:02<00:22, 19.71it/s]
eval model::  11%|█         | 55/500 [00:02<00:22, 20.13it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:22, 19.32it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:23, 18.91it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:23, 18.23it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:22, 19.62it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:19, 21.66it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 21.39it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:20, 20.72it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:20, 20.42it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:20, 20.72it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.25it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 19.84it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:20, 19.84it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:20, 19.51it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:22, 18.38it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:20, 19.44it/s]
eval model::  20%|██        | 100/500 [00:05<00:21, 18.82it/s]
eval model::  20%|██        | 102/500 [00:05<00:21, 18.38it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 20.91it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:19, 19.97it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 18.85it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 20.92it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:18, 20.32it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:20, 18.29it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:18, 20.40it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 18.64it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.15it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.21it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 20.25it/s]
eval model::  28%|██▊       | 138/500 [00:07<00:18, 19.98it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 19.99it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:17, 20.45it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:18, 19.09it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.53it/s]
eval model::  30%|███       | 152/500 [00:07<00:18, 18.37it/s]
eval model::  31%|███       | 155/500 [00:07<00:17, 20.13it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 20.42it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:17, 19.63it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:16, 19.94it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 20.12it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 20.79it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:16, 19.93it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:17, 18.52it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:15, 20.54it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:17, 18.70it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:15, 20.39it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:15, 19.72it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:15, 19.85it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:13, 21.97it/s]
eval model::  39%|███▉      | 197/500 [00:09<00:15, 19.56it/s]
eval model::  40%|████      | 200/500 [00:10<00:13, 21.43it/s]
eval model::  41%|████      | 203/500 [00:10<00:13, 21.85it/s]
eval model::  41%|████      | 206/500 [00:10<00:17, 16.42it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:17, 16.49it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:17, 16.86it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:15, 18.62it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:16, 17.28it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:17, 16.40it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:16, 16.66it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:16, 16.55it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:14, 19.07it/s]
eval model::  45%|████▌     | 227/500 [00:11<00:13, 20.32it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:12, 22.49it/s]
eval model::  47%|████▋     | 234/500 [00:11<00:11, 22.65it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:11, 22.98it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 22.56it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:12, 19.96it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:12, 20.47it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:11, 21.06it/s]
eval model::  50%|█████     | 252/500 [00:12<00:11, 20.83it/s]
eval model::  51%|█████     | 255/500 [00:12<00:11, 21.39it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:10, 22.75it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 21.34it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:11, 20.40it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 20.36it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:11, 19.78it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:11, 19.25it/s]
eval model::  55%|█████▌    | 275/500 [00:13<00:12, 18.00it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.39it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 21.33it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 20.78it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:13, 15.57it/s]
eval model::  58%|█████▊    | 290/500 [00:14<00:11, 17.91it/s]
eval model::  59%|█████▊    | 293/500 [00:14<00:10, 18.99it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:12, 16.81it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 18.73it/s]
eval model::  60%|██████    | 302/500 [00:15<00:10, 18.55it/s]
eval model::  61%|██████    | 304/500 [00:15<00:10, 18.22it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:09, 20.20it/s]
eval model::  62%|██████▏   | 310/500 [00:15<00:08, 21.44it/s]
eval model::  63%|██████▎   | 313/500 [00:15<00:09, 19.98it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:10, 18.25it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:09, 19.47it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:09, 19.54it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:08, 19.89it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:08, 20.36it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:08, 20.49it/s]
eval model::  67%|██████▋   | 334/500 [00:16<00:07, 22.64it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:07, 23.25it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:08, 19.43it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:07, 21.34it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 21.89it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:06, 21.99it/s]
eval model::  70%|███████   | 352/500 [00:17<00:07, 20.83it/s]
eval model::  71%|███████   | 355/500 [00:17<00:07, 20.50it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 20.74it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 21.43it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:06, 19.52it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:06, 19.43it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 20.80it/s]
eval model::  75%|███████▍  | 373/500 [00:18<00:05, 21.81it/s]
eval model::  75%|███████▌  | 376/500 [00:18<00:05, 21.79it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 21.89it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 22.04it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 22.66it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:06, 16.23it/s]
eval model::  78%|███████▊  | 391/500 [00:19<00:05, 18.53it/s]
eval model::  79%|███████▉  | 394/500 [00:19<00:05, 19.34it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:04, 21.34it/s]
eval model::  80%|████████  | 400/500 [00:20<00:04, 20.95it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 21.74it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 21.93it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:04, 22.02it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:04, 21.71it/s]
eval model::  83%|████████▎ | 415/500 [00:20<00:04, 20.48it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 18.51it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:05, 15.90it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 16.58it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 17.33it/s]
eval model::  85%|████████▌ | 427/500 [00:21<00:03, 19.06it/s]
eval model::  86%|████████▌ | 430/500 [00:21<00:03, 20.50it/s]
eval model::  87%|████████▋ | 433/500 [00:21<00:03, 21.36it/s]
eval model::  87%|████████▋ | 436/500 [00:21<00:02, 23.17it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 23.65it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 22.32it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 21.42it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 20.43it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 20.21it/s]
eval model::  91%|█████████ | 454/500 [00:22<00:02, 20.78it/s]
eval model::  91%|█████████▏| 457/500 [00:22<00:02, 21.15it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 21.13it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 19.19it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:02, 17.49it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 19.17it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 21.05it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 20.42it/s]
eval model::  95%|█████████▌| 477/500 [00:23<00:01, 20.59it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 21.64it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 21.11it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 17.37it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 18.93it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 19.36it/s]
eval model::  99%|█████████▉| 495/500 [00:24<00:00, 20.85it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 22.39it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.91it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:40, 12.36it/s]
eval model::   1%|          | 5/500 [00:00<00:25, 19.12it/s]
eval model::   2%|▏         | 8/500 [00:00<00:27, 18.06it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 18.93it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 19.47it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.17it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 19.15it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 20.94it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 21.05it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 21.07it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 20.71it/s]
eval model::   7%|▋         | 35/500 [00:01<00:22, 20.92it/s]
eval model::   8%|▊         | 38/500 [00:01<00:22, 20.52it/s]
eval model::   8%|▊         | 41/500 [00:02<00:22, 20.07it/s]
eval model::   9%|▉         | 44/500 [00:02<00:22, 20.32it/s]
eval model::   9%|▉         | 47/500 [00:02<00:24, 18.59it/s]
eval model::  10%|█         | 50/500 [00:02<00:24, 18.66it/s]
eval model::  11%|█         | 53/500 [00:02<00:22, 20.14it/s]
eval model::  11%|█         | 56/500 [00:02<00:23, 19.02it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:23, 19.04it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:24, 17.61it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:25, 17.36it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:21, 19.81it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:18, 23.10it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 21.97it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:18, 22.34it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:20, 20.66it/s]
eval model::  16%|█▋        | 82/500 [00:04<00:18, 22.35it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:20, 19.83it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:22, 18.19it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:24, 16.80it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:24, 16.72it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:25, 16.14it/s]
eval model::  19%|█▉        | 96/500 [00:05<00:25, 15.88it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:22, 17.70it/s]
eval model::  20%|██        | 102/500 [00:05<00:21, 18.59it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 20.99it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:17, 21.86it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:17, 22.29it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:16, 22.99it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:16, 23.43it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:18, 20.86it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:16, 22.30it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:18, 20.20it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.52it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:21, 17.02it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:20, 17.78it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:20, 17.53it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:21, 17.10it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 18.92it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:19, 18.72it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:18, 18.65it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:20, 16.96it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 17.86it/s]
eval model::  31%|███       | 154/500 [00:07<00:17, 19.97it/s]
eval model::  31%|███▏      | 157/500 [00:08<00:15, 21.58it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:17, 19.98it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:17, 19.27it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:17, 19.22it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 19.19it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.69it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:18, 17.53it/s]
eval model::  35%|███▌      | 175/500 [00:09<00:19, 17.04it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:16, 19.78it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 17.32it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:15, 20.02it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:14, 20.87it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:14, 21.64it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:13, 22.12it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:14, 20.70it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 21.46it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 22.45it/s]
eval model::  41%|████      | 205/500 [00:10<00:18, 15.69it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:17, 16.45it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:17, 16.72it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:16, 17.37it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.09it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 15.27it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.65it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:16, 16.59it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 19.08it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:13, 20.71it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:11, 24.02it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:11, 23.57it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 23.43it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 23.43it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:11, 21.65it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 22.35it/s]
eval model::  50%|█████     | 250/500 [00:12<00:12, 19.91it/s]
eval model::  51%|█████     | 253/500 [00:12<00:11, 21.33it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 21.51it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:11, 21.37it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:11, 21.05it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:12, 18.69it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:12, 18.09it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:11, 19.67it/s]
eval model::  55%|█████▍    | 273/500 [00:14<00:11, 20.14it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 18.83it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.36it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.81it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:14, 15.01it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:12, 16.87it/s]
eval model::  58%|█████▊    | 291/500 [00:15<00:11, 18.57it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 18.41it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:11, 17.37it/s]
eval model::  60%|██████    | 300/500 [00:15<00:11, 16.84it/s]
eval model::  61%|██████    | 303/500 [00:15<00:10, 18.36it/s]
eval model::  61%|██████    | 305/500 [00:15<00:10, 18.60it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:10, 19.06it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.03it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:09, 19.03it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 18.52it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 20.82it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:08, 21.92it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:08, 21.58it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:07, 22.03it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 19.90it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 21.22it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 22.84it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 22.29it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:08, 19.28it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:06, 22.18it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:06, 23.68it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 20.87it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 20.56it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 21.00it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 20.22it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 18.48it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 18.43it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:06, 19.14it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 20.10it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.28it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 23.27it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 22.56it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 22.62it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:07, 15.73it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 17.19it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:06, 17.22it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 18.80it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:05, 19.96it/s]
eval model::  80%|████████  | 402/500 [00:20<00:05, 18.16it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 19.86it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:04, 20.80it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:04, 21.65it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:03, 22.23it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:03, 20.87it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 17.71it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:03, 19.27it/s]
eval model::  85%|████████▌ | 426/500 [00:21<00:03, 19.08it/s]
eval model::  86%|████████▌ | 430/500 [00:21<00:03, 22.35it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 22.09it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 22.26it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 20.39it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 20.55it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 19.26it/s]
eval model::  90%|████████▉ | 448/500 [00:22<00:02, 18.81it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 17.53it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 19.04it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 20.74it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:01, 22.34it/s]
eval model::  93%|█████████▎| 463/500 [00:23<00:01, 19.22it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:01, 18.40it/s]
eval model::  94%|█████████▍| 469/500 [00:23<00:01, 19.35it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 21.40it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 22.82it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:00, 23.01it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 22.22it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 21.24it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 20.29it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 21.51it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 20.58it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 19.48it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 21.58it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.71it/s]
======================= Modified FLAGS detected =======================
FLAGS(name='FLAGS_selected_gpus', current_value='4', default_value='')
FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False)
=======================================================================
I0801 18:31:00.411152 110383 tcp_utils.cc:130] Successfully connected to 10.8.145.246:63697
I0801 18:31:00.447381 110383 process_group_nccl.cc:120] ProcessGroupNCCL pg_timeout_ 1800000
W0801 18:31:00.462282 110383 gpu_resources.cc:119] Please NOTE: device: 4, GPU Compute Capability: 90.2, Driver API Version: 50724.2, Runtime API Version: 50724.2

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:04,  7.69it/s]
eval model::   1%|          | 3/500 [00:00<00:35, 13.83it/s]
eval model::   1%|          | 6/500 [00:00<00:31, 15.69it/s]
eval model::   2%|▏         | 8/500 [00:00<00:32, 15.33it/s]
eval model::   2%|▏         | 11/500 [00:00<00:29, 16.36it/s]
eval model::   3%|▎         | 13/500 [00:00<00:33, 14.63it/s]
eval model::   3%|▎         | 15/500 [00:01<00:33, 14.53it/s]
eval model::   4%|▎         | 18/500 [00:01<00:28, 16.82it/s]
eval model::   4%|▍         | 20/500 [00:01<00:30, 15.78it/s]
eval model::   5%|▍         | 23/500 [00:01<00:27, 17.53it/s]
eval model::   5%|▌         | 26/500 [00:01<00:26, 18.01it/s]
eval model::   6%|▌         | 29/500 [00:01<00:24, 19.52it/s]
eval model::   6%|▌         | 31/500 [00:01<00:25, 18.73it/s]
eval model::   7%|▋         | 34/500 [00:02<00:25, 18.23it/s]
eval model::   7%|▋         | 36/500 [00:02<00:25, 18.20it/s]
eval model::   8%|▊         | 38/500 [00:02<00:25, 17.90it/s]
eval model::   8%|▊         | 40/500 [00:02<00:26, 17.04it/s]
eval model::   9%|▊         | 43/500 [00:02<00:23, 19.14it/s]
eval model::   9%|▉         | 46/500 [00:02<00:23, 19.56it/s]
eval model::  10%|▉         | 49/500 [00:02<00:21, 21.22it/s]
eval model::  10%|█         | 52/500 [00:02<00:20, 21.78it/s]
eval model::  11%|█         | 55/500 [00:03<00:19, 22.34it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:20, 22.07it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:22, 19.67it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:21, 20.08it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:20, 20.81it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 21.84it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:20, 20.70it/s]
eval model::  15%|█▌        | 76/500 [00:04<00:22, 19.27it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:21, 19.41it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:22, 18.98it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:20, 20.20it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:20, 20.40it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:19, 20.99it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:21, 18.99it/s]
eval model::  19%|█▉        | 95/500 [00:05<00:19, 20.87it/s]
eval model::  20%|█▉        | 98/500 [00:05<00:17, 22.99it/s]
eval model::  20%|██        | 101/500 [00:05<00:18, 21.87it/s]
eval model::  21%|██        | 104/500 [00:05<00:17, 23.20it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 21.14it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:18, 20.59it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:18, 20.70it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:16, 22.65it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:16, 23.66it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:16, 22.85it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:16, 22.10it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:18, 19.84it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 18.33it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:18, 20.10it/s]
eval model::  27%|██▋       | 137/500 [00:06<00:17, 20.50it/s]
eval model::  28%|██▊       | 140/500 [00:07<00:17, 20.88it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:17, 20.63it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:16, 21.30it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:17, 20.62it/s]
eval model::  30%|███       | 152/500 [00:07<00:17, 19.95it/s]
eval model::  31%|███       | 155/500 [00:07<00:16, 20.97it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:16, 20.57it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:16, 20.36it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:16, 20.74it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 19.56it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:18, 18.27it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 18.24it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:18, 17.25it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.73it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:16, 19.03it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:17, 18.47it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 19.58it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 19.76it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 19.78it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:14, 21.83it/s]
eval model::  39%|███▉      | 196/500 [00:09<00:14, 21.65it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:13, 22.65it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 22.36it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 15.19it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 15.85it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:17, 16.52it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:15, 18.24it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:17, 16.46it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.44it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.97it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 16.29it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 19.33it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:13, 20.86it/s]
eval model::  46%|████▋     | 232/500 [00:11<00:11, 24.12it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:11, 23.85it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:10, 24.23it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:10, 24.92it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:10, 25.19it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 22.67it/s]
eval model::  50%|█████     | 250/500 [00:12<00:12, 20.06it/s]
eval model::  51%|█████     | 253/500 [00:12<00:11, 21.76it/s]
eval model::  51%|█████     | 256/500 [00:13<00:11, 20.67it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:13, 17.40it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:13, 17.57it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:12, 18.20it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 19.85it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:11, 20.11it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:11, 19.25it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:11, 20.30it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:10, 20.29it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 21.32it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:12, 17.70it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:10, 19.56it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:09, 21.32it/s]
eval model::  59%|█████▉    | 294/500 [00:14<00:10, 20.48it/s]
eval model::  59%|█████▉    | 297/500 [00:15<00:09, 20.33it/s]
eval model::  60%|██████    | 300/500 [00:15<00:10, 18.55it/s]
eval model::  60%|██████    | 302/500 [00:15<00:10, 18.76it/s]
eval model::  61%|██████    | 304/500 [00:15<00:10, 18.59it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:09, 20.75it/s]
eval model::  62%|██████▏   | 310/500 [00:15<00:08, 21.30it/s]
eval model::  63%|██████▎   | 313/500 [00:15<00:09, 20.71it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:09, 20.18it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 20.21it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:09, 18.92it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:09, 19.02it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:08, 20.69it/s]
eval model::  66%|██████▌   | 330/500 [00:16<00:08, 21.14it/s]
eval model::  67%|██████▋   | 333/500 [00:16<00:08, 19.62it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:08, 19.72it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:08, 19.33it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:08, 18.55it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:07, 20.94it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:07, 20.96it/s]
eval model::  70%|███████   | 350/500 [00:17<00:07, 20.49it/s]
eval model::  71%|███████   | 353/500 [00:17<00:06, 21.12it/s]
eval model::  71%|███████   | 356/500 [00:18<00:07, 19.84it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 20.21it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:07, 19.11it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 17.74it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:06, 19.88it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 19.85it/s]
eval model::  75%|███████▍  | 373/500 [00:18<00:06, 19.62it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:06, 19.40it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:06, 19.99it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:06, 18.91it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 19.61it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:06, 16.87it/s]
eval model::  78%|███████▊  | 389/500 [00:19<00:05, 18.99it/s]
eval model::  78%|███████▊  | 392/500 [00:19<00:05, 20.88it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:05, 20.67it/s]
eval model::  80%|███████▉  | 398/500 [00:20<00:04, 21.55it/s]
eval model::  80%|████████  | 401/500 [00:20<00:04, 19.82it/s]
eval model::  81%|████████  | 404/500 [00:20<00:04, 20.50it/s]
eval model::  81%|████████▏ | 407/500 [00:20<00:04, 21.08it/s]
eval model::  82%|████████▏ | 410/500 [00:20<00:04, 21.07it/s]
eval model::  83%|████████▎ | 413/500 [00:20<00:04, 21.70it/s]
eval model::  83%|████████▎ | 416/500 [00:21<00:03, 21.34it/s]
eval model::  84%|████████▍ | 419/500 [00:21<00:04, 20.06it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 18.95it/s]
eval model::  85%|████████▌ | 425/500 [00:21<00:03, 19.13it/s]
eval model::  86%|████████▌ | 428/500 [00:21<00:03, 20.18it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 20.40it/s]
eval model::  87%|████████▋ | 434/500 [00:21<00:03, 21.35it/s]
eval model::  87%|████████▋ | 437/500 [00:22<00:02, 21.34it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:03, 18.45it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 21.13it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 20.08it/s]
eval model::  90%|█████████ | 450/500 [00:22<00:02, 19.57it/s]
eval model::  91%|█████████ | 453/500 [00:22<00:02, 20.07it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 20.35it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:02, 19.63it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:01, 19.27it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:02, 17.23it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 18.87it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 19.83it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 19.75it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 20.14it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:01, 19.68it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 20.72it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 19.57it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 19.23it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 20.51it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 20.46it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 21.08it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.76it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:33, 14.72it/s]
eval model::   1%|          | 5/500 [00:00<00:25, 19.68it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.88it/s]
eval model::   2%|▏         | 10/500 [00:00<00:25, 19.17it/s]
eval model::   2%|▏         | 12/500 [00:00<00:26, 18.35it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.45it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.07it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.53it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.55it/s]
eval model::   5%|▌         | 26/500 [00:01<00:21, 21.90it/s]
eval model::   6%|▌         | 29/500 [00:01<00:20, 23.48it/s]
eval model::   6%|▋         | 32/500 [00:01<00:22, 20.69it/s]
eval model::   7%|▋         | 35/500 [00:01<00:22, 20.31it/s]
eval model::   8%|▊         | 38/500 [00:01<00:24, 18.72it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.96it/s]
eval model::   9%|▊         | 43/500 [00:02<00:22, 20.03it/s]
eval model::   9%|▉         | 46/500 [00:02<00:22, 19.86it/s]
eval model::  10%|▉         | 49/500 [00:02<00:20, 21.84it/s]
eval model::  10%|█         | 52/500 [00:02<00:23, 19.00it/s]
eval model::  11%|█         | 55/500 [00:02<00:21, 20.58it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:24, 18.35it/s]
eval model::  12%|█▏        | 60/500 [00:03<00:24, 18.17it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:25, 16.89it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:25, 16.90it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:20, 21.13it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:19, 22.45it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:20, 20.40it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:21, 19.52it/s]
eval model::  16%|█▌        | 80/500 [00:04<00:20, 20.20it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:20, 20.57it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:21, 19.12it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:20, 20.17it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:19, 20.55it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:19, 20.72it/s]
eval model::  20%|█▉        | 98/500 [00:04<00:18, 21.34it/s]
eval model::  20%|██        | 101/500 [00:05<00:21, 18.51it/s]
eval model::  21%|██        | 104/500 [00:05<00:19, 20.35it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:18, 21.14it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:18, 21.26it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:17, 21.96it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:17, 21.83it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:17, 21.44it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:18, 20.22it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:19, 18.88it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:18, 19.82it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 17.91it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:20, 18.02it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:19, 18.41it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:17, 20.40it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:17, 20.76it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:15, 22.36it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:15, 22.17it/s]
eval model::  30%|███       | 150/500 [00:07<00:14, 23.42it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 20.59it/s]
eval model::  31%|███       | 156/500 [00:07<00:15, 21.63it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:17, 19.23it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:18, 18.58it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:16, 20.21it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:16, 20.30it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.96it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:18, 17.46it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:22, 14.69it/s]
eval model::  36%|███▌      | 178/500 [00:09<00:19, 16.93it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:18, 17.44it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.14it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 20.64it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.37it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 21.33it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:14, 21.20it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:14, 21.14it/s]
eval model::  40%|████      | 201/500 [00:10<00:14, 19.99it/s]
eval model::  41%|████      | 204/500 [00:10<00:13, 21.71it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:18, 15.57it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:19, 15.01it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:18, 15.42it/s]
eval model::  43%|████▎     | 214/500 [00:10<00:16, 17.49it/s]
eval model::  43%|████▎     | 216/500 [00:11<00:19, 14.64it/s]
eval model::  44%|████▎     | 218/500 [00:11<00:20, 13.92it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:17, 15.61it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:15, 17.51it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:16, 16.92it/s]
eval model::  46%|████▌     | 229/500 [00:11<00:14, 19.31it/s]
eval model::  46%|████▋     | 232/500 [00:11<00:13, 20.12it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:13, 19.84it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:12, 21.23it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 22.27it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:12, 20.21it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:11, 21.57it/s]
eval model::  50%|█████     | 250/500 [00:12<00:12, 20.09it/s]
eval model::  51%|█████     | 254/500 [00:12<00:11, 22.33it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.83it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 21.60it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 20.76it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:11, 19.64it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:11, 20.07it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:11, 20.29it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 20.05it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:11, 19.63it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:12, 17.88it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:12, 17.82it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:16, 13.08it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:15, 14.09it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:13, 15.21it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:12, 16.91it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.89it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:12, 16.07it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 18.49it/s]
eval model::  60%|██████    | 301/500 [00:15<00:12, 16.57it/s]
eval model::  61%|██████    | 304/500 [00:15<00:10, 18.09it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:10, 18.56it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:09, 19.96it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:08, 21.62it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:08, 22.33it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:07, 23.76it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:07, 23.04it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:08, 21.06it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:07, 21.52it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.87it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:08, 19.63it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:09, 17.49it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:09, 16.31it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:09, 16.39it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:08, 18.83it/s]
eval model::  70%|██████▉   | 348/500 [00:18<00:07, 20.80it/s]
eval model::  70%|███████   | 351/500 [00:18<00:06, 22.23it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 22.25it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:07, 19.26it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:07, 19.80it/s]
eval model::  73%|███████▎  | 363/500 [00:18<00:06, 20.64it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 18.42it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:06, 19.82it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 20.24it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.63it/s]
eval model::  76%|███████▌  | 378/500 [00:19<00:05, 23.41it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 23.50it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:04, 23.64it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:06, 18.48it/s]
eval model::  78%|███████▊  | 390/500 [00:20<00:05, 19.47it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:06, 17.40it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:06, 17.20it/s]
eval model::  80%|███████▉  | 398/500 [00:20<00:05, 19.24it/s]
eval model::  80%|████████  | 401/500 [00:20<00:05, 17.89it/s]
eval model::  81%|████████  | 404/500 [00:20<00:04, 19.86it/s]
eval model::  81%|████████▏ | 407/500 [00:20<00:04, 19.15it/s]
eval model::  82%|████████▏ | 410/500 [00:21<00:04, 19.47it/s]
eval model::  83%|████████▎ | 413/500 [00:21<00:04, 19.15it/s]
eval model::  83%|████████▎ | 416/500 [00:21<00:04, 19.31it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 19.27it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 18.28it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 17.75it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 16.70it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 16.60it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 19.33it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 18.47it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 18.24it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:03, 18.32it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:03, 20.60it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:03, 17.27it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 18.95it/s]
eval model::  89%|████████▉ | 447/500 [00:23<00:02, 19.29it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 18.66it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 22.23it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:02, 20.76it/s]
eval model::  92%|█████████▏| 460/500 [00:23<00:02, 18.56it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:02, 16.47it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:02, 17.06it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:02, 16.46it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 19.17it/s]
eval model::  94%|█████████▍| 472/500 [00:24<00:01, 18.09it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 16.62it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 18.52it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:01, 19.41it/s]
eval model::  97%|█████████▋| 484/500 [00:25<00:00, 22.78it/s]
eval model::  97%|█████████▋| 487/500 [00:25<00:00, 20.13it/s]
eval model::  98%|█████████▊| 490/500 [00:25<00:00, 20.71it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 21.01it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 20.60it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 24.07it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.39it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:40, 12.26it/s]
eval model::   1%|          | 5/500 [00:00<00:25, 19.34it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.65it/s]
eval model::   2%|▏         | 10/500 [00:00<00:25, 19.04it/s]
eval model::   2%|▏         | 12/500 [00:00<00:27, 17.81it/s]
eval model::   3%|▎         | 15/500 [00:00<00:25, 19.34it/s]
eval model::   3%|▎         | 17/500 [00:00<00:25, 18.66it/s]
eval model::   4%|▍         | 19/500 [00:01<00:25, 18.74it/s]
eval model::   4%|▍         | 21/500 [00:01<00:25, 19.07it/s]
eval model::   5%|▍         | 24/500 [00:01<00:22, 21.15it/s]
eval model::   5%|▌         | 27/500 [00:01<00:24, 19.15it/s]
eval model::   6%|▌         | 31/500 [00:01<00:22, 20.93it/s]
eval model::   7%|▋         | 34/500 [00:01<00:23, 20.20it/s]
eval model::   7%|▋         | 37/500 [00:01<00:21, 21.53it/s]
eval model::   8%|▊         | 40/500 [00:02<00:22, 20.86it/s]
eval model::   9%|▊         | 43/500 [00:02<00:22, 19.94it/s]
eval model::   9%|▉         | 46/500 [00:02<00:23, 19.36it/s]
eval model::  10%|▉         | 49/500 [00:02<00:22, 20.41it/s]
eval model::  10%|█         | 52/500 [00:02<00:21, 21.27it/s]
eval model::  11%|█         | 55/500 [00:02<00:19, 22.28it/s]
eval model::  12%|█▏        | 58/500 [00:02<00:20, 21.66it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:22, 19.66it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:21, 19.95it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:19, 22.00it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:18, 23.28it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:18, 23.08it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:20, 20.77it/s]
eval model::  16%|█▌        | 80/500 [00:03<00:19, 21.92it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:18, 22.78it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:18, 22.58it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:19, 20.65it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:19, 20.58it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:19, 20.66it/s]
eval model::  20%|█▉        | 98/500 [00:04<00:18, 21.93it/s]
eval model::  20%|██        | 101/500 [00:04<00:20, 19.43it/s]
eval model::  21%|██        | 104/500 [00:05<00:18, 20.89it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:17, 22.06it/s]
eval model::  22%|██▏       | 110/500 [00:05<00:19, 20.45it/s]
eval model::  23%|██▎       | 113/500 [00:05<00:18, 20.62it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:18, 21.00it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:18, 20.98it/s]
eval model::  24%|██▍       | 122/500 [00:05<00:18, 20.36it/s]
eval model::  25%|██▌       | 125/500 [00:06<00:19, 18.91it/s]
eval model::  26%|██▌       | 128/500 [00:06<00:18, 20.35it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:18, 19.63it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:17, 20.98it/s]
eval model::  27%|██▋       | 137/500 [00:06<00:17, 20.91it/s]
eval model::  28%|██▊       | 140/500 [00:06<00:17, 20.39it/s]
eval model::  29%|██▊       | 143/500 [00:06<00:16, 21.47it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:16, 22.01it/s]
eval model::  30%|██▉       | 149/500 [00:07<00:17, 20.59it/s]
eval model::  30%|███       | 152/500 [00:07<00:18, 19.23it/s]
eval model::  31%|███       | 155/500 [00:07<00:16, 21.14it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:15, 21.80it/s]
eval model::  32%|███▏      | 161/500 [00:07<00:17, 18.92it/s]
eval model::  33%|███▎      | 164/500 [00:07<00:16, 19.77it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 20.45it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 21.65it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:15, 21.29it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:17, 18.23it/s]
eval model::  36%|███▌      | 179/500 [00:08<00:15, 20.52it/s]
eval model::  36%|███▋      | 182/500 [00:08<00:17, 18.41it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:14, 21.22it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:14, 21.34it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:13, 22.13it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:14, 20.59it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:15, 19.82it/s]
eval model::  40%|████      | 201/500 [00:09<00:15, 19.85it/s]
eval model::  41%|████      | 204/500 [00:09<00:13, 21.47it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:20, 14.45it/s]
eval model::  42%|████▏     | 209/500 [00:10<00:20, 14.43it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:18, 15.30it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:17, 15.97it/s]
eval model::  43%|████▎     | 215/500 [00:10<00:18, 15.12it/s]
eval model::  43%|████▎     | 217/500 [00:10<00:19, 14.29it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.24it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:16, 17.12it/s]
eval model::  45%|████▌     | 226/500 [00:11<00:13, 20.03it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:11, 23.42it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:11, 23.83it/s]
eval model::  47%|████▋     | 236/500 [00:11<00:11, 23.08it/s]
eval model::  48%|████▊     | 239/500 [00:11<00:10, 24.31it/s]
eval model::  48%|████▊     | 242/500 [00:11<00:11, 22.38it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:10, 23.83it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:10, 23.94it/s]
eval model::  50%|█████     | 251/500 [00:12<00:11, 21.80it/s]
eval model::  51%|█████     | 254/500 [00:12<00:10, 23.09it/s]
eval model::  51%|█████▏    | 257/500 [00:12<00:10, 23.46it/s]
eval model::  52%|█████▏    | 260/500 [00:12<00:09, 24.31it/s]
eval model::  53%|█████▎    | 263/500 [00:12<00:10, 22.44it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:11, 20.11it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:11, 19.65it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:11, 19.42it/s]
eval model::  55%|█████▌    | 275/500 [00:13<00:11, 18.94it/s]
eval model::  56%|█████▌    | 278/500 [00:13<00:11, 20.14it/s]
eval model::  56%|█████▌    | 281/500 [00:13<00:11, 19.81it/s]
eval model::  57%|█████▋    | 284/500 [00:13<00:10, 20.37it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:14, 14.96it/s]
eval model::  58%|█████▊    | 290/500 [00:14<00:12, 16.77it/s]
eval model::  58%|█████▊    | 292/500 [00:14<00:12, 17.10it/s]
eval model::  59%|█████▉    | 294/500 [00:14<00:12, 16.23it/s]
eval model::  59%|█████▉    | 296/500 [00:14<00:12, 15.72it/s]
eval model::  60%|██████    | 300/500 [00:14<00:10, 18.42it/s]
eval model::  60%|██████    | 302/500 [00:15<00:10, 18.40it/s]
eval model::  61%|██████    | 305/500 [00:15<00:09, 19.79it/s]
eval model::  62%|██████▏   | 308/500 [00:15<00:09, 21.23it/s]
eval model::  62%|██████▏   | 311/500 [00:15<00:08, 21.51it/s]
eval model::  63%|██████▎   | 314/500 [00:15<00:08, 22.48it/s]
eval model::  63%|██████▎   | 317/500 [00:15<00:08, 22.29it/s]
eval model::  64%|██████▍   | 320/500 [00:15<00:07, 23.35it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:07, 22.18it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:07, 22.79it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:08, 20.07it/s]
eval model::  66%|██████▋   | 332/500 [00:16<00:08, 20.17it/s]
eval model::  67%|██████▋   | 335/500 [00:16<00:07, 21.94it/s]
eval model::  68%|██████▊   | 338/500 [00:16<00:07, 21.35it/s]
eval model::  68%|██████▊   | 341/500 [00:16<00:08, 18.15it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:07, 19.85it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:07, 20.90it/s]
eval model::  70%|███████   | 350/500 [00:17<00:06, 21.75it/s]
eval model::  71%|███████   | 353/500 [00:17<00:06, 23.29it/s]
eval model::  71%|███████   | 356/500 [00:17<00:06, 21.84it/s]
eval model::  72%|███████▏  | 359/500 [00:17<00:06, 22.47it/s]
eval model::  72%|███████▏  | 362/500 [00:17<00:06, 21.12it/s]
eval model::  73%|███████▎  | 365/500 [00:18<00:06, 20.31it/s]
eval model::  74%|███████▎  | 368/500 [00:18<00:06, 20.52it/s]
eval model::  74%|███████▍  | 371/500 [00:18<00:06, 20.42it/s]
eval model::  75%|███████▍  | 374/500 [00:18<00:05, 22.17it/s]
eval model::  75%|███████▌  | 377/500 [00:18<00:06, 20.34it/s]
eval model::  76%|███████▌  | 380/500 [00:18<00:05, 20.41it/s]
eval model::  77%|███████▋  | 383/500 [00:18<00:05, 21.54it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:07, 15.18it/s]
eval model::  78%|███████▊  | 389/500 [00:19<00:06, 17.58it/s]
eval model::  78%|███████▊  | 392/500 [00:19<00:05, 18.53it/s]
eval model::  79%|███████▉  | 395/500 [00:19<00:05, 19.09it/s]
eval model::  80%|███████▉  | 398/500 [00:19<00:04, 21.26it/s]
eval model::  80%|████████  | 401/500 [00:19<00:04, 20.71it/s]
eval model::  81%|████████  | 404/500 [00:19<00:04, 21.81it/s]
eval model::  81%|████████▏ | 407/500 [00:20<00:04, 22.53it/s]
eval model::  82%|████████▏ | 410/500 [00:20<00:03, 24.26it/s]
eval model::  83%|████████▎ | 413/500 [00:20<00:03, 23.23it/s]
eval model::  83%|████████▎ | 416/500 [00:20<00:03, 22.43it/s]
eval model::  84%|████████▍ | 419/500 [00:20<00:03, 21.35it/s]
eval model::  84%|████████▍ | 422/500 [00:20<00:03, 20.34it/s]
eval model::  85%|████████▌ | 425/500 [00:21<00:04, 17.89it/s]
eval model::  86%|████████▌ | 428/500 [00:21<00:03, 19.05it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 19.44it/s]
eval model::  87%|████████▋ | 435/500 [00:21<00:02, 22.08it/s]
eval model::  88%|████████▊ | 439/500 [00:21<00:02, 24.04it/s]
eval model::  88%|████████▊ | 442/500 [00:21<00:02, 23.92it/s]
eval model::  89%|████████▉ | 445/500 [00:21<00:02, 24.76it/s]
eval model::  90%|████████▉ | 448/500 [00:21<00:02, 24.10it/s]
eval model::  90%|█████████ | 451/500 [00:22<00:02, 22.82it/s]
eval model::  91%|█████████ | 454/500 [00:22<00:01, 23.99it/s]
eval model::  91%|█████████▏| 457/500 [00:22<00:01, 24.34it/s]
eval model::  92%|█████████▏| 460/500 [00:22<00:01, 24.95it/s]
eval model::  93%|█████████▎| 463/500 [00:22<00:02, 17.39it/s]
eval model::  93%|█████████▎| 466/500 [00:22<00:02, 16.45it/s]
eval model::  94%|█████████▍| 469/500 [00:23<00:01, 18.48it/s]
eval model::  94%|█████████▍| 472/500 [00:23<00:01, 19.49it/s]
eval model::  95%|█████████▌| 475/500 [00:23<00:01, 21.00it/s]
eval model::  96%|█████████▌| 479/500 [00:23<00:00, 23.47it/s]
eval model::  96%|█████████▋| 482/500 [00:23<00:00, 22.98it/s]
eval model::  97%|█████████▋| 486/500 [00:23<00:00, 22.25it/s]
eval model::  98%|█████████▊| 489/500 [00:23<00:00, 22.86it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 23.21it/s]
eval model::  99%|█████████▉| 495/500 [00:24<00:00, 21.68it/s]
eval model:: 100%|█████████▉| 498/500 [00:24<00:00, 22.20it/s]
eval model:: 100%|██████████| 500/500 [00:24<00:00, 20.50it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:37, 13.36it/s]
eval model::   1%|          | 5/500 [00:00<00:23, 20.76it/s]
eval model::   2%|▏         | 8/500 [00:00<00:25, 19.57it/s]
eval model::   2%|▏         | 11/500 [00:00<00:25, 19.25it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 19.72it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.07it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 19.00it/s]
eval model::   5%|▍         | 23/500 [00:01<00:24, 19.75it/s]
eval model::   5%|▌         | 26/500 [00:01<00:24, 19.65it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 20.76it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 20.26it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 20.19it/s]
eval model::   8%|▊         | 38/500 [00:01<00:23, 19.73it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.59it/s]
eval model::   8%|▊         | 42/500 [00:02<00:24, 18.88it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.35it/s]
eval model::   9%|▉         | 47/500 [00:02<00:23, 19.20it/s]
eval model::  10%|█         | 50/500 [00:02<00:22, 19.87it/s]
eval model::  10%|█         | 52/500 [00:02<00:22, 19.73it/s]
eval model::  11%|█         | 54/500 [00:02<00:22, 19.43it/s]
eval model::  11%|█         | 56/500 [00:02<00:23, 18.51it/s]
eval model::  12%|█▏        | 59/500 [00:03<00:23, 18.38it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:26, 16.70it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:26, 16.67it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:22, 19.31it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 20.88it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 20.50it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:21, 19.42it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:22, 19.20it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:18, 23.11it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:18, 22.31it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:19, 21.29it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:20, 20.06it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:19, 20.51it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:18, 21.49it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:18, 21.20it/s]
eval model::  20%|██        | 102/500 [00:05<00:19, 20.07it/s]
eval model::  21%|██        | 105/500 [00:05<00:20, 19.60it/s]
eval model::  21%|██▏       | 107/500 [00:05<00:20, 18.75it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:21, 18.61it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:22, 17.16it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:20, 18.77it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:20, 18.88it/s]
eval model::  24%|██▍       | 119/500 [00:06<00:18, 20.21it/s]
eval model::  24%|██▍       | 122/500 [00:06<00:19, 19.15it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:20, 18.27it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:20, 17.88it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.11it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:19, 19.31it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:19, 18.90it/s]
eval model::  27%|██▋       | 137/500 [00:07<00:19, 19.05it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:19, 18.56it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:18, 19.21it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:18, 19.63it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 17.98it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 20.31it/s]
eval model::  31%|███       | 153/500 [00:07<00:16, 20.45it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 20.28it/s]
eval model::  32%|███▏      | 159/500 [00:08<00:18, 18.92it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.16it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:19, 16.96it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 18.79it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 18.71it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:16, 19.73it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:18, 17.63it/s]
eval model::  35%|███▌      | 177/500 [00:09<00:16, 19.46it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:17, 17.85it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.24it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:15, 19.86it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:15, 20.00it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:15, 19.94it/s]
eval model::  39%|███▉      | 195/500 [00:10<00:15, 20.03it/s]
eval model::  40%|███▉      | 198/500 [00:10<00:14, 20.14it/s]
eval model::  40%|████      | 201/500 [00:10<00:15, 19.88it/s]
eval model::  41%|████      | 205/500 [00:10<00:18, 16.25it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:17, 16.58it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:17, 16.44it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:16, 17.46it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:17, 16.31it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.19it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:17, 16.36it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 15.56it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:15, 17.32it/s]
eval model::  45%|████▌     | 227/500 [00:12<00:15, 17.63it/s]
eval model::  46%|████▌     | 230/500 [00:12<00:13, 20.33it/s]
eval model::  47%|████▋     | 233/500 [00:12<00:12, 20.96it/s]
eval model::  47%|████▋     | 236/500 [00:12<00:12, 20.48it/s]
eval model::  48%|████▊     | 239/500 [00:12<00:12, 20.86it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:16, 15.86it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:14, 17.76it/s]
eval model::  50%|████▉     | 248/500 [00:13<00:12, 19.53it/s]
eval model::  50%|█████     | 251/500 [00:13<00:13, 18.55it/s]
eval model::  51%|█████     | 254/500 [00:13<00:12, 19.80it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 20.91it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 21.50it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 21.21it/s]
eval model::  53%|█████▎    | 266/500 [00:14<00:13, 17.76it/s]
eval model::  54%|█████▍    | 269/500 [00:14<00:12, 18.54it/s]
eval model::  54%|█████▍    | 272/500 [00:14<00:12, 17.80it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:12, 18.45it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.37it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:11, 19.79it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 20.09it/s]
eval model::  57%|█████▋    | 287/500 [00:15<00:15, 14.03it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:12, 16.39it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:11, 18.17it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:12, 16.25it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:10, 18.33it/s]
eval model::  60%|██████    | 302/500 [00:16<00:11, 17.39it/s]
eval model::  61%|██████    | 304/500 [00:16<00:12, 16.13it/s]
eval model::  61%|██████▏   | 307/500 [00:16<00:10, 18.27it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:10, 17.75it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:09, 19.46it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 19.63it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:09, 19.86it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:08, 21.75it/s]
eval model::  65%|██████▍   | 324/500 [00:17<00:08, 20.95it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:07, 21.96it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 20.77it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 22.02it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:08, 20.01it/s]
eval model::  68%|██████▊   | 340/500 [00:18<00:09, 16.68it/s]
eval model::  69%|██████▊   | 343/500 [00:18<00:08, 18.24it/s]
eval model::  69%|██████▉   | 346/500 [00:18<00:08, 18.56it/s]
eval model::  70%|██████▉   | 349/500 [00:18<00:07, 20.86it/s]
eval model::  70%|███████   | 352/500 [00:18<00:07, 20.22it/s]
eval model::  71%|███████   | 355/500 [00:18<00:07, 20.19it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 20.64it/s]
eval model::  72%|███████▏  | 361/500 [00:19<00:06, 19.86it/s]
eval model::  73%|███████▎  | 364/500 [00:19<00:07, 18.72it/s]
eval model::  73%|███████▎  | 367/500 [00:19<00:07, 17.91it/s]
eval model::  74%|███████▍  | 369/500 [00:19<00:07, 18.24it/s]
eval model::  74%|███████▍  | 371/500 [00:19<00:07, 17.93it/s]
eval model::  75%|███████▌  | 375/500 [00:19<00:05, 21.49it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 23.14it/s]
eval model::  76%|███████▋  | 382/500 [00:20<00:05, 21.51it/s]
eval model::  77%|███████▋  | 385/500 [00:20<00:05, 21.11it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:07, 14.57it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 16.33it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:06, 16.57it/s]
eval model::  79%|███████▉  | 395/500 [00:20<00:06, 16.18it/s]
eval model::  80%|███████▉  | 398/500 [00:21<00:05, 18.08it/s]
eval model::  80%|████████  | 400/500 [00:21<00:05, 17.94it/s]
eval model::  81%|████████  | 403/500 [00:21<00:04, 20.15it/s]
eval model::  81%|████████  | 406/500 [00:21<00:04, 21.34it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:04, 22.70it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:03, 22.22it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 22.06it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 19.83it/s]
eval model::  84%|████████▍ | 421/500 [00:22<00:04, 16.14it/s]
eval model::  85%|████████▍ | 424/500 [00:22<00:04, 16.09it/s]
eval model::  85%|████████▌ | 427/500 [00:22<00:04, 17.56it/s]
eval model::  86%|████████▌ | 430/500 [00:22<00:03, 19.41it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 20.65it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:02, 21.79it/s]
eval model::  88%|████████▊ | 439/500 [00:23<00:02, 23.40it/s]
eval model::  88%|████████▊ | 442/500 [00:23<00:02, 23.24it/s]
eval model::  89%|████████▉ | 445/500 [00:23<00:02, 24.17it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 22.64it/s]
eval model::  90%|█████████ | 451/500 [00:23<00:02, 21.91it/s]
eval model::  91%|█████████ | 454/500 [00:23<00:02, 22.86it/s]
eval model::  91%|█████████▏| 457/500 [00:23<00:01, 22.17it/s]
eval model::  92%|█████████▏| 460/500 [00:24<00:01, 20.38it/s]
eval model::  93%|█████████▎| 463/500 [00:24<00:02, 17.43it/s]
eval model::  93%|█████████▎| 465/500 [00:24<00:02, 14.93it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 16.28it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 17.82it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 18.04it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 17.47it/s]
eval model::  96%|█████████▌| 479/500 [00:25<00:00, 21.38it/s]
eval model::  96%|█████████▋| 482/500 [00:25<00:00, 21.38it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 22.87it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 21.02it/s]
eval model::  98%|█████████▊| 491/500 [00:25<00:00, 21.21it/s]
eval model::  99%|█████████▉| 494/500 [00:25<00:00, 21.96it/s]
eval model::  99%|█████████▉| 497/500 [00:25<00:00, 23.74it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.26it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:32, 15.55it/s]
eval model::   1%|          | 5/500 [00:00<00:24, 20.44it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.44it/s]
eval model::   2%|▏         | 11/500 [00:00<00:27, 17.96it/s]
eval model::   3%|▎         | 14/500 [00:00<00:25, 19.20it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.04it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.86it/s]
eval model::   5%|▍         | 24/500 [00:01<00:20, 23.24it/s]
eval model::   5%|▌         | 27/500 [00:01<00:20, 23.48it/s]
eval model::   6%|▌         | 30/500 [00:01<00:20, 22.79it/s]
eval model::   7%|▋         | 33/500 [00:01<00:22, 20.33it/s]
eval model::   7%|▋         | 36/500 [00:01<00:22, 20.23it/s]
eval model::   8%|▊         | 39/500 [00:01<00:25, 18.17it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 17.96it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.51it/s]
eval model::  10%|▉         | 48/500 [00:02<00:23, 19.25it/s]
eval model::  10%|█         | 51/500 [00:02<00:22, 19.78it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 20.29it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:21, 20.39it/s]
eval model::  12%|█▏        | 60/500 [00:02<00:21, 20.54it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:24, 17.58it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:21, 19.89it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 21.33it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:19, 21.64it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:21, 20.10it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:21, 19.24it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.09it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 20.33it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:21, 19.38it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:20, 19.53it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:20, 20.10it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:19, 21.00it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:18, 21.97it/s]
eval model::  20%|██        | 102/500 [00:05<00:18, 21.13it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 20.24it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:20, 19.43it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 19.26it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:19, 20.14it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:19, 19.27it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:20, 18.91it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:20, 18.61it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:19, 19.31it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:18, 19.97it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:19, 19.08it/s]
eval model::  26%|██▌       | 131/500 [00:06<00:20, 18.31it/s]
eval model::  27%|██▋       | 134/500 [00:06<00:18, 19.92it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:18, 19.71it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:17, 20.59it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.18it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 21.53it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 20.55it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 17.99it/s]
eval model::  31%|███       | 155/500 [00:07<00:15, 22.16it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:16, 20.89it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:20, 16.71it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.10it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:18, 17.99it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:19, 16.99it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:17, 18.55it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:17, 18.59it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:17, 18.25it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:15, 20.53it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:15, 20.21it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:14, 21.24it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:15, 19.79it/s]
eval model::  38%|███▊      | 191/500 [00:09<00:15, 20.15it/s]
eval model::  39%|███▉      | 194/500 [00:09<00:14, 21.84it/s]
eval model::  39%|███▉      | 197/500 [00:09<00:15, 19.73it/s]
eval model::  40%|████      | 200/500 [00:10<00:14, 20.69it/s]
eval model::  41%|████      | 203/500 [00:10<00:15, 19.08it/s]
eval model::  41%|████      | 205/500 [00:10<00:22, 13.34it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:20, 14.55it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:19, 15.10it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.08it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.37it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.53it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.20it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:16, 16.74it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:13, 19.78it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:12, 21.04it/s]
eval model::  46%|████▌     | 231/500 [00:11<00:12, 21.91it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:11, 22.73it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:10, 25.67it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 22.82it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:13, 19.14it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:13, 18.99it/s]
eval model::  50%|█████     | 250/500 [00:12<00:13, 18.12it/s]
eval model::  51%|█████     | 254/500 [00:13<00:11, 21.61it/s]
eval model::  51%|█████▏    | 257/500 [00:13<00:11, 21.78it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 21.00it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 20.39it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:12, 19.32it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:11, 20.49it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:10, 21.06it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:10, 20.75it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:09, 23.24it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:09, 21.98it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:15, 14.12it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:14, 14.89it/s]
eval model::  58%|█████▊    | 290/500 [00:14<00:12, 16.79it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:11, 17.35it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:12, 16.51it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:13, 15.52it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 17.85it/s]
eval model::  60%|██████    | 301/500 [00:15<00:12, 15.94it/s]
eval model::  61%|██████    | 304/500 [00:15<00:10, 17.86it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:10, 19.04it/s]
eval model::  62%|██████▏   | 309/500 [00:16<00:10, 18.51it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:10, 18.39it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 19.22it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 20.52it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:08, 20.19it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:09, 19.26it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:08, 21.17it/s]
eval model::  66%|██████▌   | 330/500 [00:17<00:08, 20.42it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 21.44it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 23.14it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 22.03it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:08, 17.96it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 20.86it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:06, 22.74it/s]
eval model::  70%|███████   | 352/500 [00:18<00:06, 22.73it/s]
eval model::  71%|███████   | 355/500 [00:18<00:06, 22.12it/s]
eval model::  72%|███████▏  | 358/500 [00:18<00:06, 21.02it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:06, 20.17it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:06, 20.33it/s]
eval model::  73%|███████▎  | 367/500 [00:18<00:06, 19.90it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 20.80it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:05, 21.73it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 22.45it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 22.46it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 22.99it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:04, 23.60it/s]
eval model::  78%|███████▊  | 388/500 [00:19<00:07, 15.20it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 16.50it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:05, 18.06it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 19.72it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 19.97it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 21.55it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 22.32it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:03, 23.75it/s]
eval model::  82%|████████▏ | 412/500 [00:20<00:03, 23.00it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 19.77it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 17.76it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 16.04it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:04, 17.68it/s]
eval model::  85%|████████▌ | 425/500 [00:21<00:04, 16.60it/s]
eval model::  86%|████████▌ | 428/500 [00:21<00:03, 18.65it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 19.76it/s]
eval model::  87%|████████▋ | 434/500 [00:22<00:03, 21.92it/s]
eval model::  87%|████████▋ | 437/500 [00:22<00:02, 23.88it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:02, 22.35it/s]
eval model::  89%|████████▊ | 443/500 [00:22<00:02, 23.62it/s]
eval model::  89%|████████▉ | 446/500 [00:22<00:02, 22.53it/s]
eval model::  90%|████████▉ | 449/500 [00:22<00:02, 21.97it/s]
eval model::  90%|█████████ | 452/500 [00:22<00:02, 23.36it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:02, 21.81it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:01, 22.82it/s]
eval model::  92%|█████████▏| 461/500 [00:23<00:01, 22.67it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:01, 18.95it/s]
eval model::  93%|█████████▎| 467/500 [00:23<00:01, 17.29it/s]
eval model::  94%|█████████▍| 470/500 [00:23<00:01, 19.32it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 20.66it/s]
eval model::  95%|█████████▌| 476/500 [00:24<00:01, 21.09it/s]
eval model::  96%|█████████▌| 479/500 [00:24<00:00, 22.42it/s]
eval model::  96%|█████████▋| 482/500 [00:24<00:00, 21.48it/s]
eval model::  97%|█████████▋| 485/500 [00:24<00:00, 23.05it/s]
eval model::  98%|█████████▊| 488/500 [00:24<00:00, 22.21it/s]
eval model::  98%|█████████▊| 491/500 [00:24<00:00, 22.15it/s]
eval model::  99%|█████████▉| 494/500 [00:24<00:00, 22.95it/s]
eval model::  99%|█████████▉| 497/500 [00:25<00:00, 23.97it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 24.30it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.85it/s]
======================= Modified FLAGS detected =======================
FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False)
FLAGS(name='FLAGS_selected_gpus', current_value='4', default_value='')
=======================================================================
I0801 20:34:41.859746 163935 tcp_utils.cc:130] Successfully connected to 10.8.145.246:39872
I0801 20:34:41.910315 163935 process_group_nccl.cc:120] ProcessGroupNCCL pg_timeout_ 1800000
W0801 20:34:41.923540 163935 gpu_resources.cc:119] Please NOTE: device: 4, GPU Compute Capability: 90.2, Driver API Version: 50724.2, Runtime API Version: 50724.2
Exception in thread Thread-6 (_thread_loop):
Traceback (most recent call last):
  File "/root/anaconda3/envs/dbnet/lib/python3.10/site-packages/paddle/io/dataloader/dataloader_iter.py", line 692, in _get_data
    data = self._data_queue.get(timeout=self._timeout)
  File "/root/anaconda3/envs/dbnet/lib/python3.10/multiprocessing/queues.py", line 114, in get
    raise Empty
_queue.Empty

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/root/anaconda3/envs/dbnet/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
    self.run()
  File "/root/anaconda3/envs/dbnet/lib/python3.10/threading.py", line 946, in run
    self._target(*self._args, **self._kwargs)
  File "/root/anaconda3/envs/dbnet/lib/python3.10/site-packages/paddle/io/dataloader/dataloader_iter.py", line 603, in _thread_loop
    batch = self._get_data()
  File "/root/anaconda3/envs/dbnet/lib/python3.10/site-packages/paddle/io/dataloader/dataloader_iter.py", line 707, in _get_data
    raise RuntimeError(
RuntimeError: DataLoader 8 workers exit unexpectedly, pids: 172200, 172211, 172224, 172243, 172402, 172433, 172609, 172620
======================= Modified FLAGS detected =======================
FLAGS(name='FLAGS_selected_gpus', current_value='4', default_value='')
FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False)
=======================================================================
I0801 20:36:50.859695 173862 tcp_utils.cc:130] Successfully connected to 10.8.145.246:61895
I0801 20:36:50.919525 173862 process_group_nccl.cc:120] ProcessGroupNCCL pg_timeout_ 1800000
W0801 20:36:50.935595 173862 gpu_resources.cc:119] Please NOTE: device: 4, GPU Compute Capability: 90.2, Driver API Version: 50724.2, Runtime API Version: 50724.2

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:37, 13.24it/s]
eval model::   1%|          | 5/500 [00:00<00:24, 20.62it/s]
eval model::   2%|▏         | 8/500 [00:00<00:25, 19.26it/s]
eval model::   2%|▏         | 11/500 [00:00<00:23, 20.46it/s]
eval model::   3%|▎         | 14/500 [00:00<00:21, 22.36it/s]
eval model::   3%|▎         | 17/500 [00:00<00:19, 24.16it/s]
eval model::   4%|▍         | 20/500 [00:00<00:20, 22.91it/s]
eval model::   5%|▍         | 23/500 [00:01<00:20, 23.48it/s]
eval model::   5%|▌         | 26/500 [00:01<00:21, 22.54it/s]
eval model::   6%|▌         | 29/500 [00:01<00:21, 21.81it/s]
eval model::   6%|▋         | 32/500 [00:01<00:24, 19.36it/s]
eval model::   7%|▋         | 35/500 [00:01<00:25, 18.32it/s]
eval model::   7%|▋         | 37/500 [00:01<00:25, 18.38it/s]
eval model::   8%|▊         | 39/500 [00:01<00:25, 17.96it/s]
eval model::   8%|▊         | 42/500 [00:02<00:24, 18.78it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.37it/s]
eval model::   9%|▉         | 47/500 [00:02<00:24, 18.75it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 20.48it/s]
eval model::  11%|█         | 53/500 [00:02<00:21, 20.92it/s]
eval model::  11%|█         | 56/500 [00:02<00:19, 22.77it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:18, 24.33it/s]
eval model::  12%|█▏        | 62/500 [00:02<00:19, 22.83it/s]
eval model::  13%|█▎        | 65/500 [00:03<00:17, 24.61it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:16, 26.22it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:16, 26.74it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:17, 23.63it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:17, 23.48it/s]
eval model::  16%|█▌        | 81/500 [00:03<00:16, 25.04it/s]
eval model::  17%|█▋        | 84/500 [00:03<00:16, 25.83it/s]
eval model::  17%|█▋        | 87/500 [00:03<00:15, 25.87it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:16, 24.99it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:16, 25.34it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:17, 22.91it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:18, 21.23it/s]
eval model::  20%|██        | 102/500 [00:04<00:20, 19.50it/s]
eval model::  21%|██        | 106/500 [00:04<00:18, 20.76it/s]
eval model::  22%|██▏       | 109/500 [00:04<00:18, 20.71it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:20, 19.33it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:19, 19.33it/s]
eval model::  23%|██▎       | 116/500 [00:05<00:20, 18.74it/s]
eval model::  24%|██▍       | 119/500 [00:05<00:19, 19.73it/s]
eval model::  24%|██▍       | 121/500 [00:05<00:19, 19.18it/s]
eval model::  25%|██▍       | 124/500 [00:05<00:18, 20.87it/s]
eval model::  25%|██▌       | 127/500 [00:05<00:17, 21.31it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:18, 20.35it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:16, 21.91it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:18, 19.16it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:18, 19.14it/s]
eval model::  28%|██▊       | 141/500 [00:06<00:18, 19.14it/s]
eval model::  29%|██▊       | 143/500 [00:06<00:20, 17.70it/s]
eval model::  29%|██▉       | 145/500 [00:06<00:20, 17.23it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 17.89it/s]
eval model::  30%|███       | 150/500 [00:07<00:18, 18.47it/s]
eval model::  30%|███       | 152/500 [00:07<00:21, 16.44it/s]
eval model::  31%|███       | 155/500 [00:07<00:18, 18.95it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:16, 20.98it/s]
eval model::  32%|███▏      | 161/500 [00:07<00:17, 19.64it/s]
eval model::  33%|███▎      | 164/500 [00:07<00:18, 18.03it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:17, 19.14it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:15, 21.36it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:15, 21.76it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:16, 20.21it/s]
eval model::  36%|███▌      | 179/500 [00:08<00:16, 19.38it/s]
eval model::  36%|███▋      | 182/500 [00:08<00:16, 19.46it/s]
eval model::  37%|███▋      | 185/500 [00:08<00:15, 20.45it/s]
eval model::  38%|███▊      | 188/500 [00:09<00:16, 18.47it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:16, 18.77it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:15, 19.86it/s]
eval model::  39%|███▉      | 196/500 [00:09<00:15, 19.78it/s]
eval model::  40%|███▉      | 199/500 [00:09<00:14, 20.09it/s]
eval model::  40%|████      | 202/500 [00:09<00:14, 20.75it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 15.33it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:17, 16.53it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:15, 18.85it/s]
eval model::  43%|████▎     | 215/500 [00:10<00:14, 19.41it/s]
eval model::  44%|████▎     | 218/500 [00:10<00:16, 17.20it/s]
eval model::  44%|████▍     | 221/500 [00:10<00:15, 18.42it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:13, 20.15it/s]
eval model::  45%|████▌     | 227/500 [00:11<00:12, 22.28it/s]
eval model::  46%|████▌     | 231/500 [00:11<00:10, 24.98it/s]
eval model::  47%|████▋     | 234/500 [00:11<00:10, 24.38it/s]
eval model::  47%|████▋     | 237/500 [00:11<00:11, 23.39it/s]
eval model::  48%|████▊     | 240/500 [00:11<00:12, 21.17it/s]
eval model::  49%|████▊     | 243/500 [00:11<00:13, 19.50it/s]
eval model::  49%|████▉     | 246/500 [00:11<00:12, 20.92it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:12, 20.03it/s]
eval model::  50%|█████     | 252/500 [00:12<00:13, 18.71it/s]
eval model::  51%|█████     | 255/500 [00:12<00:12, 19.64it/s]
eval model::  52%|█████▏    | 258/500 [00:12<00:12, 19.54it/s]
eval model::  52%|█████▏    | 260/500 [00:12<00:15, 15.28it/s]
eval model::  52%|█████▏    | 262/500 [00:12<00:15, 15.10it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:14, 16.72it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:13, 17.25it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:13, 16.61it/s]
eval model::  54%|█████▍    | 271/500 [00:13<00:13, 16.48it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:14, 16.09it/s]
eval model::  55%|█████▌    | 276/500 [00:13<00:12, 17.66it/s]
eval model::  56%|█████▌    | 279/500 [00:13<00:12, 17.98it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:11, 18.52it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:13, 16.33it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:12, 17.53it/s]
eval model::  58%|█████▊    | 290/500 [00:14<00:11, 17.80it/s]
eval model::  58%|█████▊    | 292/500 [00:14<00:11, 18.19it/s]
eval model::  59%|█████▉    | 294/500 [00:14<00:11, 17.83it/s]
eval model::  59%|█████▉    | 297/500 [00:14<00:10, 19.46it/s]
eval model::  60%|██████    | 300/500 [00:15<00:10, 19.70it/s]
eval model::  61%|██████    | 303/500 [00:15<00:09, 21.31it/s]
eval model::  61%|██████    | 306/500 [00:15<00:09, 21.22it/s]
eval model::  62%|██████▏   | 309/500 [00:15<00:09, 20.80it/s]
eval model::  62%|██████▏   | 312/500 [00:15<00:08, 22.17it/s]
eval model::  63%|██████▎   | 315/500 [00:15<00:09, 20.31it/s]
eval model::  64%|██████▎   | 318/500 [00:15<00:08, 20.37it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:09, 19.66it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:09, 19.30it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:08, 20.41it/s]
eval model::  66%|██████▌   | 329/500 [00:16<00:08, 19.84it/s]
eval model::  66%|██████▋   | 332/500 [00:16<00:08, 20.70it/s]
eval model::  67%|██████▋   | 335/500 [00:16<00:07, 22.15it/s]
eval model::  68%|██████▊   | 338/500 [00:16<00:07, 22.33it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:08, 19.44it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:07, 20.36it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:07, 19.19it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:08, 18.48it/s]
eval model::  70%|███████   | 351/500 [00:17<00:07, 18.67it/s]
eval model::  71%|███████   | 353/500 [00:17<00:07, 18.79it/s]
eval model::  71%|███████   | 356/500 [00:17<00:07, 18.69it/s]
eval model::  72%|███████▏  | 359/500 [00:17<00:07, 19.93it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:06, 20.05it/s]
eval model::  73%|███████▎  | 365/500 [00:18<00:06, 20.40it/s]
eval model::  74%|███████▎  | 368/500 [00:18<00:06, 19.32it/s]
eval model::  74%|███████▍  | 370/500 [00:18<00:06, 18.70it/s]
eval model::  74%|███████▍  | 372/500 [00:18<00:07, 18.19it/s]
eval model::  75%|███████▌  | 375/500 [00:18<00:06, 18.87it/s]
eval model::  76%|███████▌  | 378/500 [00:18<00:06, 20.15it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 21.56it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 22.75it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:06, 18.67it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:05, 18.87it/s]
eval model::  79%|███████▊  | 393/500 [00:19<00:05, 19.93it/s]
eval model::  79%|███████▉  | 396/500 [00:19<00:04, 20.94it/s]
eval model::  80%|███████▉  | 399/500 [00:19<00:04, 22.24it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 21.20it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 21.48it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:04, 20.59it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:04, 20.39it/s]
eval model::  83%|████████▎ | 414/500 [00:20<00:04, 18.65it/s]
eval model::  83%|████████▎ | 416/500 [00:20<00:04, 18.27it/s]
eval model::  84%|████████▎ | 418/500 [00:20<00:04, 18.19it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 17.74it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:04, 19.09it/s]
eval model::  85%|████████▌ | 426/500 [00:21<00:03, 20.30it/s]
eval model::  86%|████████▌ | 429/500 [00:21<00:03, 19.62it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 19.33it/s]
eval model::  87%|████████▋ | 434/500 [00:21<00:03, 20.68it/s]
eval model::  87%|████████▋ | 437/500 [00:21<00:03, 20.54it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:03, 19.57it/s]
eval model::  89%|████████▊ | 443/500 [00:22<00:02, 20.55it/s]
eval model::  89%|████████▉ | 446/500 [00:22<00:02, 20.65it/s]
eval model::  90%|████████▉ | 449/500 [00:22<00:02, 21.54it/s]
eval model::  90%|█████████ | 452/500 [00:22<00:02, 21.36it/s]
eval model::  91%|█████████ | 455/500 [00:22<00:02, 18.99it/s]
eval model::  92%|█████████▏| 458/500 [00:22<00:02, 19.78it/s]
eval model::  92%|█████████▏| 461/500 [00:23<00:01, 20.60it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:01, 18.90it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:01, 18.59it/s]
eval model::  94%|█████████▍| 469/500 [00:23<00:01, 19.87it/s]
eval model::  94%|█████████▍| 472/500 [00:23<00:01, 19.66it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 19.00it/s]
eval model::  95%|█████████▌| 477/500 [00:23<00:01, 19.84it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:00, 20.07it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 21.63it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 19.21it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 20.00it/s]
eval model::  98%|█████████▊| 492/500 [00:24<00:00, 20.35it/s]
eval model::  99%|█████████▉| 495/500 [00:24<00:00, 21.25it/s]
eval model:: 100%|█████████▉| 498/500 [00:24<00:00, 22.95it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 20.00it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:39, 12.61it/s]
eval model::   1%|          | 5/500 [00:00<00:24, 20.04it/s]
eval model::   2%|▏         | 8/500 [00:00<00:24, 20.09it/s]
eval model::   2%|▏         | 11/500 [00:00<00:24, 20.27it/s]
eval model::   3%|▎         | 14/500 [00:00<00:23, 20.43it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.86it/s]
eval model::   4%|▍         | 20/500 [00:01<00:26, 18.39it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.27it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 20.56it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 20.72it/s]
eval model::   6%|▋         | 32/500 [00:01<00:23, 20.33it/s]
eval model::   7%|▋         | 35/500 [00:01<00:23, 19.58it/s]
eval model::   8%|▊         | 38/500 [00:01<00:22, 20.83it/s]
eval model::   8%|▊         | 41/500 [00:02<00:21, 21.03it/s]
eval model::   9%|▉         | 44/500 [00:02<00:21, 21.61it/s]
eval model::   9%|▉         | 47/500 [00:02<00:20, 21.80it/s]
eval model::  10%|█         | 50/500 [00:02<00:20, 21.92it/s]
eval model::  11%|█         | 53/500 [00:02<00:20, 21.73it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 20.70it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:20, 21.81it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:24, 18.12it/s]
eval model::  13%|█▎        | 64/500 [00:03<00:24, 17.99it/s]
eval model::  13%|█▎        | 67/500 [00:03<00:21, 20.54it/s]
eval model::  14%|█▍        | 70/500 [00:03<00:19, 21.55it/s]
eval model::  15%|█▍        | 73/500 [00:03<00:19, 21.37it/s]
eval model::  15%|█▌        | 76/500 [00:03<00:20, 21.01it/s]
eval model::  16%|█▌        | 79/500 [00:03<00:20, 20.72it/s]
eval model::  16%|█▋        | 82/500 [00:03<00:19, 21.26it/s]
eval model::  17%|█▋        | 85/500 [00:04<00:19, 21.32it/s]
eval model::  18%|█▊        | 88/500 [00:04<00:20, 20.26it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:20, 19.97it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:18, 21.65it/s]
eval model::  19%|█▉        | 97/500 [00:04<00:19, 20.88it/s]
eval model::  20%|██        | 100/500 [00:04<00:21, 18.95it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 18.95it/s]
eval model::  21%|██        | 105/500 [00:05<00:19, 20.30it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:19, 20.01it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 19.42it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 20.42it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:17, 21.46it/s]
eval model::  24%|██▍       | 120/500 [00:05<00:19, 19.33it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.36it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:17, 21.85it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:15, 23.76it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:18, 19.70it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.60it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:18, 19.37it/s]
eval model::  28%|██▊       | 141/500 [00:06<00:19, 17.98it/s]
eval model::  29%|██▉       | 144/500 [00:07<00:19, 18.71it/s]
eval model::  29%|██▉       | 146/500 [00:07<00:18, 18.87it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:19, 18.00it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 18.05it/s]
eval model::  31%|███       | 155/500 [00:07<00:15, 22.10it/s]
eval model::  32%|███▏      | 158/500 [00:07<00:16, 20.15it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:18, 18.10it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:17, 19.52it/s]
eval model::  33%|███▎      | 167/500 [00:08<00:16, 19.87it/s]
eval model::  34%|███▍      | 170/500 [00:08<00:16, 20.35it/s]
eval model::  35%|███▍      | 173/500 [00:08<00:15, 20.66it/s]
eval model::  35%|███▌      | 176/500 [00:08<00:18, 17.55it/s]
eval model::  36%|███▌      | 180/500 [00:08<00:16, 19.18it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:15, 21.06it/s]
eval model::  37%|███▋      | 186/500 [00:09<00:13, 22.74it/s]
eval model::  38%|███▊      | 189/500 [00:09<00:13, 22.60it/s]
eval model::  38%|███▊      | 192/500 [00:09<00:14, 20.90it/s]
eval model::  39%|███▉      | 195/500 [00:09<00:15, 20.04it/s]
eval model::  40%|███▉      | 198/500 [00:09<00:15, 19.20it/s]
eval model::  40%|████      | 200/500 [00:09<00:15, 18.85it/s]
eval model::  41%|████      | 203/500 [00:10<00:15, 18.98it/s]
eval model::  41%|████      | 205/500 [00:10<00:20, 14.26it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 15.31it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:17, 16.30it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:15, 18.92it/s]
eval model::  43%|████▎     | 216/500 [00:10<00:15, 18.22it/s]
eval model::  44%|████▎     | 218/500 [00:11<00:16, 17.03it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:15, 18.25it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:13, 20.01it/s]
eval model::  45%|████▌     | 227/500 [00:11<00:13, 20.86it/s]
eval model::  46%|████▌     | 230/500 [00:11<00:12, 21.72it/s]
eval model::  47%|████▋     | 233/500 [00:11<00:12, 22.16it/s]
eval model::  47%|████▋     | 236/500 [00:11<00:12, 21.59it/s]
eval model::  48%|████▊     | 239/500 [00:11<00:11, 22.23it/s]
eval model::  48%|████▊     | 242/500 [00:12<00:13, 19.75it/s]
eval model::  49%|████▉     | 245/500 [00:12<00:11, 21.82it/s]
eval model::  50%|████▉     | 248/500 [00:12<00:11, 21.96it/s]
eval model::  50%|█████     | 251/500 [00:12<00:12, 19.67it/s]
eval model::  51%|█████     | 254/500 [00:12<00:12, 20.34it/s]
eval model::  51%|█████▏    | 257/500 [00:12<00:11, 20.73it/s]
eval model::  52%|█████▏    | 260/500 [00:13<00:11, 20.17it/s]
eval model::  53%|█████▎    | 263/500 [00:13<00:11, 20.59it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:11, 19.64it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:11, 20.67it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:11, 20.09it/s]
eval model::  55%|█████▌    | 275/500 [00:13<00:10, 20.61it/s]
eval model::  56%|█████▌    | 278/500 [00:13<00:10, 21.77it/s]
eval model::  56%|█████▌    | 281/500 [00:13<00:09, 22.11it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 20.34it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:14, 15.20it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:11, 18.56it/s]
eval model::  59%|█████▉    | 294/500 [00:14<00:11, 18.48it/s]
eval model::  59%|█████▉    | 297/500 [00:14<00:10, 18.90it/s]
eval model::  60%|██████    | 300/500 [00:15<00:11, 17.80it/s]
eval model::  61%|██████    | 303/500 [00:15<00:10, 18.58it/s]
eval model::  61%|██████    | 306/500 [00:15<00:09, 19.78it/s]
eval model::  62%|██████▏   | 309/500 [00:15<00:09, 21.14it/s]
eval model::  62%|██████▏   | 312/500 [00:15<00:08, 21.88it/s]
eval model::  63%|██████▎   | 315/500 [00:15<00:09, 19.09it/s]
eval model::  64%|██████▎   | 318/500 [00:15<00:09, 20.10it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:08, 20.61it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:08, 20.62it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:07, 22.51it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:07, 22.98it/s]
eval model::  67%|██████▋   | 334/500 [00:16<00:07, 22.47it/s]
eval model::  67%|██████▋   | 337/500 [00:16<00:07, 20.79it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:08, 18.51it/s]
eval model::  69%|██████▊   | 343/500 [00:17<00:07, 19.80it/s]
eval model::  69%|██████▉   | 346/500 [00:17<00:07, 21.49it/s]
eval model::  70%|██████▉   | 349/500 [00:17<00:06, 22.47it/s]
eval model::  70%|███████   | 352/500 [00:17<00:06, 21.73it/s]
eval model::  71%|███████   | 355/500 [00:17<00:07, 18.16it/s]
eval model::  72%|███████▏  | 358/500 [00:17<00:07, 19.63it/s]
eval model::  72%|███████▏  | 361/500 [00:18<00:07, 18.76it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 18.23it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:07, 17.79it/s]
eval model::  74%|███████▍  | 369/500 [00:18<00:07, 18.37it/s]
eval model::  74%|███████▍  | 372/500 [00:18<00:06, 19.29it/s]
eval model::  75%|███████▌  | 375/500 [00:18<00:05, 21.13it/s]
eval model::  76%|███████▌  | 378/500 [00:18<00:05, 23.10it/s]
eval model::  76%|███████▌  | 381/500 [00:19<00:05, 21.90it/s]
eval model::  77%|███████▋  | 384/500 [00:19<00:05, 20.42it/s]
eval model::  77%|███████▋  | 387/500 [00:19<00:07, 14.84it/s]
eval model::  78%|███████▊  | 390/500 [00:19<00:06, 16.54it/s]
eval model::  79%|███████▊  | 393/500 [00:19<00:05, 18.75it/s]
eval model::  79%|███████▉  | 396/500 [00:19<00:05, 19.53it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:04, 20.73it/s]
eval model::  80%|████████  | 402/500 [00:20<00:04, 21.40it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 22.64it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:03, 23.55it/s]
eval model::  82%|████████▏ | 411/500 [00:20<00:03, 23.04it/s]
eval model::  83%|████████▎ | 414/500 [00:20<00:03, 22.82it/s]
eval model::  83%|████████▎ | 417/500 [00:20<00:03, 22.25it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 18.94it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:04, 18.88it/s]
eval model::  85%|████████▌ | 425/500 [00:21<00:04, 17.95it/s]
eval model::  86%|████████▌ | 428/500 [00:21<00:03, 20.43it/s]
eval model::  86%|████████▌ | 431/500 [00:21<00:03, 20.53it/s]
eval model::  87%|████████▋ | 434/500 [00:21<00:03, 21.23it/s]
eval model::  87%|████████▋ | 437/500 [00:21<00:02, 21.28it/s]
eval model::  88%|████████▊ | 440/500 [00:22<00:03, 19.25it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 21.18it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 21.65it/s]
eval model::  90%|█████████ | 450/500 [00:22<00:02, 20.12it/s]
eval model::  91%|█████████ | 453/500 [00:22<00:02, 21.95it/s]
eval model::  91%|█████████ | 456/500 [00:22<00:02, 21.09it/s]
eval model::  92%|█████████▏| 459/500 [00:22<00:01, 22.18it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:01, 21.07it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 18.69it/s]
eval model::  94%|█████████▎| 468/500 [00:23<00:01, 20.56it/s]
eval model::  94%|█████████▍| 471/500 [00:23<00:01, 22.00it/s]
eval model::  95%|█████████▍| 474/500 [00:23<00:01, 21.38it/s]
eval model::  95%|█████████▌| 477/500 [00:23<00:01, 22.24it/s]
eval model::  96%|█████████▌| 480/500 [00:23<00:00, 20.23it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 19.91it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 18.50it/s]
eval model::  98%|█████████▊| 489/500 [00:24<00:00, 19.23it/s]
eval model::  98%|█████████▊| 491/500 [00:24<00:00, 18.73it/s]
eval model::  99%|█████████▉| 494/500 [00:24<00:00, 19.21it/s]
eval model::  99%|█████████▉| 497/500 [00:24<00:00, 19.89it/s]
eval model:: 100%|██████████| 500/500 [00:24<00:00, 19.48it/s]
eval model:: 100%|██████████| 500/500 [00:24<00:00, 20.03it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<01:03,  7.85it/s]
eval model::   1%|          | 4/500 [00:00<00:29, 16.69it/s]
eval model::   1%|          | 6/500 [00:00<00:29, 16.50it/s]
eval model::   2%|▏         | 8/500 [00:00<00:29, 16.85it/s]
eval model::   2%|▏         | 10/500 [00:00<00:27, 17.60it/s]
eval model::   2%|▏         | 12/500 [00:00<00:27, 17.77it/s]
eval model::   3%|▎         | 14/500 [00:00<00:26, 18.16it/s]
eval model::   3%|▎         | 17/500 [00:00<00:23, 20.49it/s]
eval model::   4%|▍         | 20/500 [00:01<00:25, 18.47it/s]
eval model::   5%|▍         | 23/500 [00:01<00:23, 20.57it/s]
eval model::   5%|▌         | 26/500 [00:01<00:23, 19.91it/s]
eval model::   6%|▌         | 29/500 [00:01<00:23, 20.17it/s]
eval model::   6%|▋         | 32/500 [00:01<00:26, 17.41it/s]
eval model::   7%|▋         | 34/500 [00:01<00:26, 17.81it/s]
eval model::   7%|▋         | 37/500 [00:02<00:24, 19.27it/s]
eval model::   8%|▊         | 39/500 [00:02<00:27, 17.00it/s]
eval model::   8%|▊         | 42/500 [00:02<00:26, 17.52it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.10it/s]
eval model::   9%|▉         | 47/500 [00:02<00:26, 17.32it/s]
eval model::  10%|█         | 50/500 [00:02<00:24, 18.24it/s]
eval model::  11%|█         | 53/500 [00:02<00:23, 19.08it/s]
eval model::  11%|█         | 56/500 [00:03<00:24, 18.29it/s]
eval model::  12%|█▏        | 58/500 [00:03<00:23, 18.49it/s]
eval model::  12%|█▏        | 61/500 [00:03<00:24, 17.68it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:25, 16.87it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:22, 19.22it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 20.54it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:21, 20.38it/s]
eval model::  15%|█▌        | 75/500 [00:04<00:21, 19.90it/s]
eval model::  16%|█▌        | 78/500 [00:04<00:21, 19.80it/s]
eval model::  16%|█▌        | 81/500 [00:04<00:19, 21.62it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:20, 19.85it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 19.83it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:20, 19.56it/s]
eval model::  18%|█▊        | 92/500 [00:04<00:21, 19.26it/s]
eval model::  19%|█▉        | 94/500 [00:05<00:21, 18.88it/s]
eval model::  19%|█▉        | 97/500 [00:05<00:20, 19.83it/s]
eval model::  20%|█▉        | 99/500 [00:05<00:20, 19.29it/s]
eval model::  20%|██        | 101/500 [00:05<00:20, 19.18it/s]
eval model::  21%|██        | 103/500 [00:05<00:20, 19.14it/s]
eval model::  21%|██        | 106/500 [00:05<00:20, 18.93it/s]
eval model::  22%|██▏       | 109/500 [00:05<00:19, 20.42it/s]
eval model::  22%|██▏       | 112/500 [00:05<00:18, 20.53it/s]
eval model::  23%|██▎       | 115/500 [00:06<00:19, 19.47it/s]
eval model::  24%|██▎       | 118/500 [00:06<00:18, 20.61it/s]
eval model::  24%|██▍       | 121/500 [00:06<00:19, 19.82it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 20.64it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:16, 22.05it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:17, 21.03it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:18, 19.62it/s]
eval model::  27%|██▋       | 136/500 [00:07<00:18, 19.84it/s]
eval model::  28%|██▊       | 139/500 [00:07<00:17, 21.21it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:16, 21.43it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 20.98it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 19.85it/s]
eval model::  30%|███       | 151/500 [00:07<00:17, 20.51it/s]
eval model::  31%|███       | 155/500 [00:07<00:15, 22.67it/s]
eval model::  32%|███▏      | 158/500 [00:08<00:14, 22.98it/s]
eval model::  32%|███▏      | 161/500 [00:08<00:16, 19.95it/s]
eval model::  33%|███▎      | 164/500 [00:08<00:17, 18.98it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 18.95it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:19, 17.45it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:18, 17.96it/s]
eval model::  35%|███▍      | 174/500 [00:09<00:17, 18.61it/s]
eval model::  35%|███▌      | 176/500 [00:09<00:18, 17.77it/s]
eval model::  36%|███▌      | 179/500 [00:09<00:15, 20.19it/s]
eval model::  36%|███▋      | 182/500 [00:09<00:17, 17.77it/s]
eval model::  37%|███▋      | 185/500 [00:09<00:17, 18.11it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:17, 18.12it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 19.55it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:15, 20.32it/s]
eval model::  39%|███▉      | 196/500 [00:10<00:15, 19.35it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:14, 20.10it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 21.16it/s]
eval model::  41%|████      | 205/500 [00:10<00:20, 14.17it/s]
eval model::  41%|████▏     | 207/500 [00:10<00:19, 15.04it/s]
eval model::  42%|████▏     | 209/500 [00:11<00:19, 15.19it/s]
eval model::  42%|████▏     | 211/500 [00:11<00:17, 16.10it/s]
eval model::  43%|████▎     | 213/500 [00:11<00:17, 16.77it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.22it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 14.90it/s]
eval model::  44%|████▍     | 219/500 [00:11<00:17, 15.86it/s]
eval model::  44%|████▍     | 221/500 [00:11<00:17, 16.00it/s]
eval model::  45%|████▍     | 224/500 [00:11<00:15, 18.12it/s]
eval model::  45%|████▌     | 226/500 [00:12<00:15, 17.37it/s]
eval model::  46%|████▌     | 229/500 [00:12<00:13, 19.79it/s]
eval model::  46%|████▋     | 232/500 [00:12<00:12, 21.82it/s]
eval model::  47%|████▋     | 235/500 [00:12<00:12, 21.23it/s]
eval model::  48%|████▊     | 238/500 [00:12<00:11, 22.95it/s]
eval model::  48%|████▊     | 241/500 [00:12<00:11, 23.19it/s]
eval model::  49%|████▉     | 244/500 [00:12<00:11, 21.75it/s]
eval model::  49%|████▉     | 247/500 [00:12<00:10, 23.04it/s]
eval model::  50%|█████     | 250/500 [00:13<00:12, 20.67it/s]
eval model::  51%|█████     | 253/500 [00:13<00:10, 22.57it/s]
eval model::  51%|█████     | 256/500 [00:13<00:12, 19.76it/s]
eval model::  52%|█████▏    | 259/500 [00:13<00:11, 21.22it/s]
eval model::  52%|█████▏    | 262/500 [00:13<00:11, 20.74it/s]
eval model::  53%|█████▎    | 265/500 [00:13<00:13, 17.92it/s]
eval model::  54%|█████▎    | 268/500 [00:14<00:12, 19.25it/s]
eval model::  54%|█████▍    | 271/500 [00:14<00:10, 21.20it/s]
eval model::  55%|█████▍    | 274/500 [00:14<00:10, 22.00it/s]
eval model::  55%|█████▌    | 277/500 [00:14<00:10, 22.23it/s]
eval model::  56%|█████▌    | 280/500 [00:14<00:09, 22.70it/s]
eval model::  57%|█████▋    | 283/500 [00:14<00:09, 23.44it/s]
eval model::  57%|█████▋    | 286/500 [00:14<00:12, 17.02it/s]
eval model::  58%|█████▊    | 289/500 [00:15<00:11, 18.69it/s]
eval model::  58%|█████▊    | 292/500 [00:15<00:10, 20.46it/s]
eval model::  59%|█████▉    | 295/500 [00:15<00:11, 18.07it/s]
eval model::  60%|█████▉    | 298/500 [00:15<00:10, 20.04it/s]
eval model::  60%|██████    | 301/500 [00:15<00:11, 17.30it/s]
eval model::  61%|██████    | 304/500 [00:15<00:10, 18.16it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:10, 18.99it/s]
eval model::  62%|██████▏   | 310/500 [00:16<00:10, 18.54it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:10, 18.23it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:09, 19.32it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:09, 20.20it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:09, 19.24it/s]
eval model::  65%|██████▍   | 323/500 [00:16<00:09, 18.34it/s]
eval model::  65%|██████▌   | 326/500 [00:16<00:09, 19.30it/s]
eval model::  66%|██████▌   | 328/500 [00:17<00:08, 19.31it/s]
eval model::  66%|██████▌   | 331/500 [00:17<00:08, 19.25it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:07, 20.75it/s]
eval model::  67%|██████▋   | 337/500 [00:17<00:07, 21.21it/s]
eval model::  68%|██████▊   | 340/500 [00:17<00:09, 17.40it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:07, 21.01it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:06, 22.37it/s]
eval model::  70%|███████   | 350/500 [00:18<00:06, 23.48it/s]
eval model::  71%|███████   | 353/500 [00:18<00:05, 24.91it/s]
eval model::  71%|███████   | 356/500 [00:18<00:06, 21.84it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 23.19it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:06, 22.53it/s]
eval model::  73%|███████▎  | 365/500 [00:18<00:06, 19.56it/s]
eval model::  74%|███████▎  | 368/500 [00:19<00:07, 17.26it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:07, 17.60it/s]
eval model::  75%|███████▍  | 373/500 [00:19<00:06, 19.62it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 20.70it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 22.82it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 22.68it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 21.18it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:07, 14.29it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:07, 15.50it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 17.15it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 19.39it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 19.80it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 21.60it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 22.93it/s]
eval model::  82%|████████▏ | 409/500 [00:21<00:03, 23.22it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:04, 21.82it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:04, 19.98it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 17.65it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 17.34it/s]
eval model::  84%|████████▍ | 422/500 [00:21<00:04, 17.25it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 17.43it/s]
eval model::  85%|████████▌ | 426/500 [00:22<00:04, 17.79it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 19.74it/s]
eval model::  86%|████████▌ | 431/500 [00:22<00:03, 18.94it/s]
eval model::  87%|████████▋ | 433/500 [00:22<00:03, 18.89it/s]
eval model::  87%|████████▋ | 436/500 [00:22<00:03, 20.36it/s]
eval model::  88%|████████▊ | 439/500 [00:22<00:02, 20.85it/s]
eval model::  88%|████████▊ | 442/500 [00:22<00:02, 21.09it/s]
eval model::  89%|████████▉ | 445/500 [00:22<00:02, 22.21it/s]
eval model::  90%|████████▉ | 448/500 [00:23<00:02, 18.06it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 18.33it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 20.55it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 20.49it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:01, 20.82it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:02, 16.92it/s]
eval model::  93%|█████████▎| 464/500 [00:24<00:02, 17.01it/s]
eval model::  93%|█████████▎| 466/500 [00:24<00:02, 15.29it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:02, 15.59it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 17.12it/s]
eval model::  95%|█████████▍| 473/500 [00:24<00:01, 17.04it/s]
eval model::  95%|█████████▌| 475/500 [00:24<00:01, 17.20it/s]
eval model::  96%|█████████▌| 479/500 [00:24<00:00, 21.38it/s]
eval model::  96%|█████████▋| 482/500 [00:24<00:00, 20.42it/s]
eval model::  97%|█████████▋| 485/500 [00:25<00:00, 22.13it/s]
eval model::  98%|█████████▊| 488/500 [00:25<00:00, 20.71it/s]
eval model::  98%|█████████▊| 491/500 [00:25<00:00, 20.38it/s]
eval model::  99%|█████████▉| 494/500 [00:25<00:00, 21.62it/s]
eval model::  99%|█████████▉| 497/500 [00:25<00:00, 22.00it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.41it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 1/500 [00:00<00:56,  8.77it/s]
eval model::   1%|          | 4/500 [00:00<00:27, 18.16it/s]
eval model::   1%|▏         | 7/500 [00:00<00:22, 21.82it/s]
eval model::   2%|▏         | 10/500 [00:00<00:22, 21.88it/s]
eval model::   3%|▎         | 13/500 [00:00<00:24, 19.69it/s]
eval model::   3%|▎         | 16/500 [00:00<00:24, 20.10it/s]
eval model::   4%|▍         | 19/500 [00:00<00:24, 19.84it/s]
eval model::   4%|▍         | 22/500 [00:01<00:23, 20.55it/s]
eval model::   5%|▌         | 25/500 [00:01<00:24, 19.67it/s]
eval model::   6%|▌         | 28/500 [00:01<00:22, 21.11it/s]
eval model::   6%|▌         | 31/500 [00:01<00:22, 20.95it/s]
eval model::   7%|▋         | 34/500 [00:01<00:23, 20.20it/s]
eval model::   7%|▋         | 37/500 [00:01<00:21, 21.15it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.67it/s]
eval model::   8%|▊         | 42/500 [00:02<00:25, 18.03it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.05it/s]
eval model::  10%|▉         | 48/500 [00:02<00:22, 20.13it/s]
eval model::  10%|█         | 51/500 [00:02<00:21, 20.67it/s]
eval model::  11%|█         | 54/500 [00:02<00:21, 20.45it/s]
eval model::  11%|█▏        | 57/500 [00:02<00:20, 21.76it/s]
eval model::  12%|█▏        | 60/500 [00:02<00:20, 21.38it/s]
eval model::  13%|█▎        | 63/500 [00:03<00:23, 18.94it/s]
eval model::  13%|█▎        | 66/500 [00:03<00:20, 21.22it/s]
eval model::  14%|█▍        | 69/500 [00:03<00:20, 21.55it/s]
eval model::  14%|█▍        | 72/500 [00:03<00:20, 21.15it/s]
eval model::  15%|█▌        | 75/500 [00:03<00:20, 20.84it/s]
eval model::  16%|█▌        | 78/500 [00:03<00:19, 21.33it/s]
eval model::  16%|█▌        | 81/500 [00:03<00:19, 21.70it/s]
eval model::  17%|█▋        | 84/500 [00:04<00:19, 21.13it/s]
eval model::  17%|█▋        | 87/500 [00:04<00:20, 19.73it/s]
eval model::  18%|█▊        | 90/500 [00:04<00:22, 18.54it/s]
eval model::  19%|█▊        | 93/500 [00:04<00:22, 18.45it/s]
eval model::  19%|█▉        | 95/500 [00:04<00:21, 18.70it/s]
eval model::  20%|█▉        | 98/500 [00:04<00:20, 19.44it/s]
eval model::  20%|██        | 100/500 [00:05<00:23, 16.97it/s]
eval model::  20%|██        | 102/500 [00:05<00:23, 17.30it/s]
eval model::  21%|██        | 105/500 [00:05<00:20, 19.09it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 21.23it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:19, 20.35it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:17, 22.14it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:16, 23.00it/s]
eval model::  24%|██▍       | 120/500 [00:05<00:19, 19.81it/s]
eval model::  25%|██▍       | 123/500 [00:06<00:17, 21.99it/s]
eval model::  25%|██▌       | 126/500 [00:06<00:18, 20.28it/s]
eval model::  26%|██▌       | 129/500 [00:06<00:17, 21.11it/s]
eval model::  26%|██▋       | 132/500 [00:06<00:20, 18.11it/s]
eval model::  27%|██▋       | 135/500 [00:06<00:18, 19.77it/s]
eval model::  28%|██▊       | 138/500 [00:06<00:17, 20.71it/s]
eval model::  28%|██▊       | 141/500 [00:07<00:19, 18.83it/s]
eval model::  29%|██▊       | 143/500 [00:07<00:19, 18.71it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:19, 18.45it/s]
eval model::  29%|██▉       | 147/500 [00:07<00:19, 18.04it/s]
eval model::  30%|███       | 150/500 [00:07<00:17, 19.91it/s]
eval model::  31%|███       | 153/500 [00:07<00:18, 19.22it/s]
eval model::  31%|███       | 156/500 [00:07<00:16, 21.19it/s]
eval model::  32%|███▏      | 159/500 [00:07<00:15, 21.77it/s]
eval model::  32%|███▏      | 162/500 [00:08<00:18, 18.11it/s]
eval model::  33%|███▎      | 165/500 [00:08<00:17, 19.22it/s]
eval model::  34%|███▎      | 168/500 [00:08<00:17, 19.23it/s]
eval model::  34%|███▍      | 171/500 [00:08<00:16, 19.91it/s]
eval model::  35%|███▍      | 174/500 [00:08<00:17, 18.76it/s]
eval model::  35%|███▌      | 177/500 [00:08<00:16, 19.99it/s]
eval model::  36%|███▌      | 180/500 [00:09<00:17, 17.93it/s]
eval model::  37%|███▋      | 183/500 [00:09<00:16, 19.14it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:14, 21.01it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 20.34it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:13, 21.97it/s]
eval model::  39%|███▉      | 196/500 [00:09<00:14, 20.77it/s]
eval model::  40%|███▉      | 199/500 [00:09<00:14, 21.34it/s]
eval model::  40%|████      | 202/500 [00:10<00:14, 20.17it/s]
eval model::  41%|████      | 205/500 [00:10<00:21, 13.53it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:19, 14.75it/s]
eval model::  42%|████▏     | 211/500 [00:10<00:17, 16.28it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:17, 16.82it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.72it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:19, 14.19it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 16.49it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 15.97it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 18.53it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:13, 20.02it/s]
eval model::  46%|████▌     | 231/500 [00:11<00:12, 21.08it/s]
eval model::  47%|████▋     | 234/500 [00:12<00:13, 20.00it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:12, 20.41it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:12, 21.55it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:12, 20.98it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:11, 21.88it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:11, 21.77it/s]
eval model::  50%|█████     | 252/500 [00:12<00:12, 19.26it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 21.07it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 21.20it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:10, 22.21it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:10, 21.69it/s]
eval model::  53%|█████▎    | 267/500 [00:13<00:11, 20.91it/s]
eval model::  54%|█████▍    | 270/500 [00:13<00:10, 21.42it/s]
eval model::  55%|█████▍    | 273/500 [00:13<00:10, 21.27it/s]
eval model::  55%|█████▌    | 276/500 [00:14<00:10, 20.58it/s]
eval model::  56%|█████▌    | 279/500 [00:14<00:11, 19.33it/s]
eval model::  56%|█████▋    | 282/500 [00:14<00:10, 20.83it/s]
eval model::  57%|█████▋    | 285/500 [00:14<00:15, 13.64it/s]
eval model::  58%|█████▊    | 288/500 [00:14<00:13, 15.47it/s]
eval model::  58%|█████▊    | 291/500 [00:14<00:12, 17.29it/s]
eval model::  59%|█████▉    | 294/500 [00:15<00:11, 17.30it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:12, 16.49it/s]
eval model::  60%|█████▉    | 299/500 [00:15<00:11, 17.92it/s]
eval model::  60%|██████    | 301/500 [00:15<00:11, 17.08it/s]
eval model::  61%|██████    | 304/500 [00:15<00:10, 18.80it/s]
eval model::  61%|██████▏   | 307/500 [00:15<00:09, 21.14it/s]
eval model::  62%|██████▏   | 310/500 [00:15<00:08, 21.48it/s]
eval model::  63%|██████▎   | 313/500 [00:16<00:08, 22.16it/s]
eval model::  63%|██████▎   | 316/500 [00:16<00:08, 21.58it/s]
eval model::  64%|██████▍   | 319/500 [00:16<00:08, 21.67it/s]
eval model::  64%|██████▍   | 322/500 [00:16<00:08, 21.09it/s]
eval model::  65%|██████▌   | 325/500 [00:16<00:08, 21.66it/s]
eval model::  66%|██████▌   | 328/500 [00:16<00:08, 20.76it/s]
eval model::  66%|██████▌   | 331/500 [00:16<00:08, 20.24it/s]
eval model::  67%|██████▋   | 334/500 [00:17<00:08, 19.10it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:08, 18.43it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:08, 19.36it/s]
eval model::  68%|██████▊   | 341/500 [00:17<00:10, 15.30it/s]
eval model::  69%|██████▉   | 344/500 [00:17<00:08, 17.77it/s]
eval model::  69%|██████▉   | 347/500 [00:17<00:07, 19.29it/s]
eval model::  70%|███████   | 350/500 [00:17<00:06, 21.44it/s]
eval model::  71%|███████   | 353/500 [00:18<00:06, 22.33it/s]
eval model::  71%|███████   | 356/500 [00:18<00:07, 20.17it/s]
eval model::  72%|███████▏  | 359/500 [00:18<00:06, 20.97it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:06, 21.26it/s]
eval model::  73%|███████▎  | 365/500 [00:18<00:06, 20.28it/s]
eval model::  74%|███████▎  | 368/500 [00:18<00:06, 20.66it/s]
eval model::  74%|███████▍  | 371/500 [00:18<00:05, 21.62it/s]
eval model::  75%|███████▍  | 374/500 [00:19<00:05, 21.99it/s]
eval model::  75%|███████▌  | 377/500 [00:19<00:05, 20.78it/s]
eval model::  76%|███████▌  | 380/500 [00:19<00:05, 20.36it/s]
eval model::  77%|███████▋  | 383/500 [00:19<00:05, 20.66it/s]
eval model::  77%|███████▋  | 386/500 [00:19<00:08, 13.88it/s]
eval model::  78%|███████▊  | 389/500 [00:20<00:07, 15.73it/s]
eval model::  78%|███████▊  | 392/500 [00:20<00:06, 17.00it/s]
eval model::  79%|███████▉  | 394/500 [00:20<00:06, 17.43it/s]
eval model::  79%|███████▉  | 397/500 [00:20<00:05, 18.88it/s]
eval model::  80%|████████  | 400/500 [00:20<00:05, 19.84it/s]
eval model::  81%|████████  | 403/500 [00:20<00:04, 21.46it/s]
eval model::  81%|████████  | 406/500 [00:20<00:04, 21.87it/s]
eval model::  82%|████████▏ | 409/500 [00:20<00:03, 23.48it/s]
eval model::  82%|████████▏ | 412/500 [00:21<00:03, 23.64it/s]
eval model::  83%|████████▎ | 415/500 [00:21<00:03, 22.22it/s]
eval model::  84%|████████▎ | 418/500 [00:21<00:04, 20.13it/s]
eval model::  84%|████████▍ | 421/500 [00:21<00:04, 18.11it/s]
eval model::  85%|████████▍ | 424/500 [00:21<00:04, 18.89it/s]
eval model::  85%|████████▌ | 426/500 [00:21<00:03, 18.99it/s]
eval model::  86%|████████▌ | 429/500 [00:21<00:03, 21.20it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 21.86it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:02, 22.47it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:02, 21.56it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:03, 18.87it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 19.56it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 19.73it/s]
eval model::  90%|█████████ | 450/500 [00:22<00:02, 19.17it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 19.69it/s]
eval model::  91%|█████████ | 455/500 [00:23<00:02, 19.35it/s]
eval model::  92%|█████████▏| 458/500 [00:23<00:02, 20.59it/s]
eval model::  92%|█████████▏| 461/500 [00:23<00:01, 20.69it/s]
eval model::  93%|█████████▎| 464/500 [00:23<00:01, 18.66it/s]
eval model::  93%|█████████▎| 466/500 [00:23<00:02, 16.58it/s]
eval model::  94%|█████████▍| 469/500 [00:24<00:01, 18.09it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 18.41it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 18.25it/s]
eval model::  96%|█████████▌| 478/500 [00:24<00:01, 21.06it/s]
eval model::  96%|█████████▌| 481/500 [00:24<00:00, 21.88it/s]
eval model::  97%|█████████▋| 484/500 [00:24<00:00, 23.34it/s]
eval model::  97%|█████████▋| 487/500 [00:24<00:00, 23.49it/s]
eval model::  98%|█████████▊| 490/500 [00:24<00:00, 22.72it/s]
eval model::  99%|█████████▊| 493/500 [00:25<00:00, 20.95it/s]
eval model::  99%|█████████▉| 496/500 [00:25<00:00, 20.19it/s]
eval model:: 100%|█████████▉| 499/500 [00:25<00:00, 21.97it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.69it/s]

eval model::   0%|          | 0/500 [00:00<?, ?it/s]
eval model::   0%|          | 2/500 [00:00<00:34, 14.29it/s]
eval model::   1%|          | 5/500 [00:00<00:24, 19.99it/s]
eval model::   2%|▏         | 8/500 [00:00<00:26, 18.56it/s]
eval model::   2%|▏         | 11/500 [00:00<00:24, 19.84it/s]
eval model::   3%|▎         | 14/500 [00:00<00:24, 20.06it/s]
eval model::   3%|▎         | 17/500 [00:00<00:22, 21.45it/s]
eval model::   4%|▍         | 20/500 [00:01<00:24, 19.30it/s]
eval model::   5%|▍         | 23/500 [00:01<00:22, 20.93it/s]
eval model::   5%|▌         | 26/500 [00:01<00:22, 20.96it/s]
eval model::   6%|▌         | 29/500 [00:01<00:22, 21.01it/s]
eval model::   6%|▋         | 32/500 [00:01<00:21, 21.53it/s]
eval model::   7%|▋         | 35/500 [00:01<00:24, 18.95it/s]
eval model::   8%|▊         | 38/500 [00:01<00:24, 18.57it/s]
eval model::   8%|▊         | 40/500 [00:02<00:24, 18.56it/s]
eval model::   9%|▊         | 43/500 [00:02<00:23, 19.49it/s]
eval model::   9%|▉         | 45/500 [00:02<00:23, 19.56it/s]
eval model::   9%|▉         | 47/500 [00:02<00:23, 19.15it/s]
eval model::  10%|█         | 50/500 [00:02<00:21, 20.58it/s]
eval model::  11%|█         | 53/500 [00:02<00:20, 22.10it/s]
eval model::  11%|█         | 56/500 [00:02<00:21, 21.05it/s]
eval model::  12%|█▏        | 59/500 [00:02<00:21, 20.37it/s]
eval model::  12%|█▏        | 62/500 [00:03<00:25, 17.38it/s]
eval model::  13%|█▎        | 65/500 [00:03<00:22, 19.36it/s]
eval model::  14%|█▎        | 68/500 [00:03<00:20, 21.37it/s]
eval model::  14%|█▍        | 71/500 [00:03<00:19, 22.38it/s]
eval model::  15%|█▍        | 74/500 [00:03<00:20, 21.11it/s]
eval model::  15%|█▌        | 77/500 [00:03<00:20, 21.04it/s]
eval model::  16%|█▌        | 80/500 [00:03<00:19, 21.85it/s]
eval model::  17%|█▋        | 83/500 [00:04<00:19, 21.18it/s]
eval model::  17%|█▋        | 86/500 [00:04<00:20, 19.96it/s]
eval model::  18%|█▊        | 89/500 [00:04<00:21, 18.85it/s]
eval model::  18%|█▊        | 91/500 [00:04<00:22, 18.51it/s]
eval model::  19%|█▉        | 94/500 [00:04<00:20, 19.42it/s]
eval model::  19%|█▉        | 96/500 [00:04<00:21, 19.17it/s]
eval model::  20%|█▉        | 99/500 [00:04<00:19, 20.11it/s]
eval model::  20%|██        | 102/500 [00:05<00:20, 19.36it/s]
eval model::  21%|██        | 105/500 [00:05<00:18, 21.54it/s]
eval model::  22%|██▏       | 108/500 [00:05<00:18, 20.76it/s]
eval model::  22%|██▏       | 111/500 [00:05<00:20, 18.79it/s]
eval model::  23%|██▎       | 114/500 [00:05<00:18, 21.06it/s]
eval model::  23%|██▎       | 117/500 [00:05<00:17, 21.51it/s]
eval model::  24%|██▍       | 120/500 [00:06<00:19, 19.00it/s]
eval model::  25%|██▍       | 124/500 [00:06<00:18, 19.82it/s]
eval model::  25%|██▌       | 127/500 [00:06<00:17, 20.95it/s]
eval model::  26%|██▌       | 130/500 [00:06<00:18, 20.28it/s]
eval model::  27%|██▋       | 133/500 [00:06<00:18, 19.92it/s]
eval model::  27%|██▋       | 136/500 [00:06<00:18, 19.42it/s]
eval model::  28%|██▊       | 139/500 [00:06<00:18, 19.66it/s]
eval model::  28%|██▊       | 142/500 [00:07<00:17, 20.34it/s]
eval model::  29%|██▉       | 145/500 [00:07<00:16, 21.55it/s]
eval model::  30%|██▉       | 148/500 [00:07<00:17, 20.33it/s]
eval model::  30%|███       | 151/500 [00:07<00:19, 17.80it/s]
eval model::  31%|███       | 154/500 [00:07<00:17, 20.19it/s]
eval model::  31%|███▏      | 157/500 [00:07<00:17, 19.77it/s]
eval model::  32%|███▏      | 160/500 [00:08<00:21, 16.10it/s]
eval model::  33%|███▎      | 163/500 [00:08<00:20, 16.78it/s]
eval model::  33%|███▎      | 166/500 [00:08<00:17, 18.88it/s]
eval model::  34%|███▍      | 169/500 [00:08<00:18, 18.25it/s]
eval model::  34%|███▍      | 172/500 [00:08<00:17, 19.00it/s]
eval model::  35%|███▌      | 175/500 [00:08<00:17, 18.49it/s]
eval model::  36%|███▌      | 178/500 [00:08<00:15, 20.20it/s]
eval model::  36%|███▌      | 181/500 [00:09<00:18, 17.61it/s]
eval model::  37%|███▋      | 184/500 [00:09<00:16, 19.72it/s]
eval model::  37%|███▋      | 187/500 [00:09<00:15, 19.69it/s]
eval model::  38%|███▊      | 190/500 [00:09<00:15, 20.35it/s]
eval model::  39%|███▊      | 193/500 [00:09<00:14, 21.63it/s]
eval model::  39%|███▉      | 196/500 [00:09<00:14, 21.02it/s]
eval model::  40%|███▉      | 199/500 [00:10<00:13, 21.60it/s]
eval model::  40%|████      | 202/500 [00:10<00:13, 21.47it/s]
eval model::  41%|████      | 205/500 [00:10<00:19, 15.19it/s]
eval model::  42%|████▏     | 208/500 [00:10<00:18, 15.80it/s]
eval model::  42%|████▏     | 210/500 [00:10<00:18, 15.78it/s]
eval model::  43%|████▎     | 213/500 [00:10<00:17, 16.66it/s]
eval model::  43%|████▎     | 215/500 [00:11<00:18, 15.64it/s]
eval model::  43%|████▎     | 217/500 [00:11<00:18, 15.11it/s]
eval model::  44%|████▍     | 220/500 [00:11<00:16, 17.44it/s]
eval model::  44%|████▍     | 222/500 [00:11<00:17, 16.27it/s]
eval model::  45%|████▌     | 225/500 [00:11<00:14, 19.19it/s]
eval model::  46%|████▌     | 228/500 [00:11<00:13, 20.55it/s]
eval model::  46%|████▌     | 231/500 [00:11<00:11, 22.44it/s]
eval model::  47%|████▋     | 234/500 [00:11<00:12, 22.00it/s]
eval model::  47%|████▋     | 237/500 [00:12<00:11, 23.11it/s]
eval model::  48%|████▊     | 240/500 [00:12<00:11, 23.53it/s]
eval model::  49%|████▊     | 243/500 [00:12<00:13, 19.36it/s]
eval model::  49%|████▉     | 246/500 [00:12<00:11, 21.34it/s]
eval model::  50%|████▉     | 249/500 [00:12<00:12, 19.57it/s]
eval model::  50%|█████     | 252/500 [00:12<00:12, 20.26it/s]
eval model::  51%|█████     | 255/500 [00:13<00:11, 21.08it/s]
eval model::  52%|█████▏    | 258/500 [00:13<00:11, 21.49it/s]
eval model::  52%|█████▏    | 261/500 [00:13<00:11, 20.22it/s]
eval model::  53%|█████▎    | 264/500 [00:13<00:12, 18.62it/s]
eval model::  53%|█████▎    | 266/500 [00:13<00:12, 18.24it/s]
eval model::  54%|█████▍    | 269/500 [00:13<00:11, 19.89it/s]
eval model::  54%|█████▍    | 272/500 [00:13<00:11, 19.24it/s]
eval model::  55%|█████▌    | 275/500 [00:14<00:11, 19.64it/s]
eval model::  56%|█████▌    | 278/500 [00:14<00:10, 20.50it/s]
eval model::  56%|█████▌    | 281/500 [00:14<00:10, 20.47it/s]
eval model::  57%|█████▋    | 284/500 [00:14<00:10, 20.97it/s]
eval model::  57%|█████▋    | 287/500 [00:14<00:16, 12.86it/s]
eval model::  58%|█████▊    | 290/500 [00:15<00:13, 15.18it/s]
eval model::  59%|█████▊    | 293/500 [00:15<00:12, 16.74it/s]
eval model::  59%|█████▉    | 296/500 [00:15<00:12, 16.36it/s]
eval model::  60%|██████    | 300/500 [00:15<00:10, 18.52it/s]
eval model::  61%|██████    | 303/500 [00:15<00:10, 19.46it/s]
eval model::  61%|██████    | 306/500 [00:15<00:10, 19.19it/s]
eval model::  62%|██████▏   | 309/500 [00:15<00:09, 20.71it/s]
eval model::  62%|██████▏   | 312/500 [00:16<00:08, 21.45it/s]
eval model::  63%|██████▎   | 315/500 [00:16<00:08, 21.28it/s]
eval model::  64%|██████▎   | 318/500 [00:16<00:08, 21.70it/s]
eval model::  64%|██████▍   | 321/500 [00:16<00:09, 19.75it/s]
eval model::  65%|██████▍   | 324/500 [00:16<00:09, 19.14it/s]
eval model::  65%|██████▌   | 327/500 [00:16<00:08, 20.60it/s]
eval model::  66%|██████▌   | 330/500 [00:16<00:08, 20.73it/s]
eval model::  67%|██████▋   | 333/500 [00:17<00:07, 21.44it/s]
eval model::  67%|██████▋   | 336/500 [00:17<00:07, 22.20it/s]
eval model::  68%|██████▊   | 339/500 [00:17<00:07, 22.53it/s]
eval model::  68%|██████▊   | 342/500 [00:17<00:08, 18.49it/s]
eval model::  69%|██████▉   | 345/500 [00:17<00:07, 20.89it/s]
eval model::  70%|██████▉   | 348/500 [00:17<00:06, 22.56it/s]
eval model::  70%|███████   | 351/500 [00:17<00:06, 22.58it/s]
eval model::  71%|███████   | 354/500 [00:18<00:06, 21.55it/s]
eval model::  71%|███████▏  | 357/500 [00:18<00:07, 19.77it/s]
eval model::  72%|███████▏  | 360/500 [00:18<00:07, 18.18it/s]
eval model::  72%|███████▏  | 362/500 [00:18<00:07, 17.57it/s]
eval model::  73%|███████▎  | 364/500 [00:18<00:07, 17.26it/s]
eval model::  73%|███████▎  | 366/500 [00:18<00:08, 16.63it/s]
eval model::  74%|███████▎  | 368/500 [00:18<00:07, 17.22it/s]
eval model::  74%|███████▍  | 370/500 [00:19<00:07, 17.80it/s]
eval model::  74%|███████▍  | 372/500 [00:19<00:06, 18.36it/s]
eval model::  75%|███████▌  | 376/500 [00:19<00:05, 21.36it/s]
eval model::  76%|███████▌  | 379/500 [00:19<00:05, 22.32it/s]
eval model::  76%|███████▋  | 382/500 [00:19<00:05, 22.42it/s]
eval model::  77%|███████▋  | 385/500 [00:19<00:05, 20.36it/s]
eval model::  78%|███████▊  | 388/500 [00:20<00:07, 15.29it/s]
eval model::  78%|███████▊  | 391/500 [00:20<00:06, 16.72it/s]
eval model::  79%|███████▊  | 393/500 [00:20<00:06, 16.79it/s]
eval model::  79%|███████▉  | 396/500 [00:20<00:05, 18.21it/s]
eval model::  80%|███████▉  | 399/500 [00:20<00:05, 20.15it/s]
eval model::  80%|████████  | 402/500 [00:20<00:05, 19.42it/s]
eval model::  81%|████████  | 405/500 [00:20<00:04, 20.37it/s]
eval model::  82%|████████▏ | 408/500 [00:20<00:04, 22.50it/s]
eval model::  82%|████████▏ | 411/500 [00:21<00:03, 23.16it/s]
eval model::  83%|████████▎ | 414/500 [00:21<00:04, 21.37it/s]
eval model::  83%|████████▎ | 417/500 [00:21<00:03, 21.08it/s]
eval model::  84%|████████▍ | 420/500 [00:21<00:04, 17.79it/s]
eval model::  85%|████████▍ | 423/500 [00:21<00:03, 19.89it/s]
eval model::  85%|████████▌ | 426/500 [00:21<00:04, 17.22it/s]
eval model::  86%|████████▌ | 429/500 [00:22<00:03, 18.52it/s]
eval model::  86%|████████▋ | 432/500 [00:22<00:03, 19.07it/s]
eval model::  87%|████████▋ | 435/500 [00:22<00:03, 20.31it/s]
eval model::  88%|████████▊ | 438/500 [00:22<00:02, 21.04it/s]
eval model::  88%|████████▊ | 441/500 [00:22<00:03, 18.00it/s]
eval model::  89%|████████▉ | 444/500 [00:22<00:02, 19.66it/s]
eval model::  89%|████████▉ | 447/500 [00:22<00:02, 20.15it/s]
eval model::  90%|█████████ | 450/500 [00:23<00:02, 18.99it/s]
eval model::  91%|█████████ | 453/500 [00:23<00:02, 19.74it/s]
eval model::  91%|█████████ | 456/500 [00:23<00:02, 21.28it/s]
eval model::  92%|█████████▏| 459/500 [00:23<00:01, 20.69it/s]
eval model::  92%|█████████▏| 462/500 [00:23<00:02, 17.90it/s]
eval model::  93%|█████████▎| 465/500 [00:23<00:01, 18.00it/s]
eval model::  94%|█████████▎| 468/500 [00:24<00:01, 19.59it/s]
eval model::  94%|█████████▍| 471/500 [00:24<00:01, 20.73it/s]
eval model::  95%|█████████▍| 474/500 [00:24<00:01, 19.11it/s]
eval model::  95%|█████████▌| 477/500 [00:24<00:01, 21.14it/s]
eval model::  96%|█████████▌| 480/500 [00:24<00:01, 19.85it/s]
eval model::  97%|█████████▋| 483/500 [00:24<00:00, 20.26it/s]
eval model::  97%|█████████▋| 486/500 [00:24<00:00, 19.58it/s]
eval model::  98%|█████████▊| 489/500 [00:25<00:00, 19.97it/s]
eval model::  98%|█████████▊| 492/500 [00:25<00:00, 20.90it/s]
eval model::  99%|█████████▉| 495/500 [00:25<00:00, 20.78it/s]
eval model:: 100%|█████████▉| 498/500 [00:25<00:00, 22.23it/s]
eval model:: 100%|██████████| 500/500 [00:25<00:00, 19.56it/s]
======================= Modified FLAGS detected =======================
FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False)
FLAGS(name='FLAGS_selected_gpus', current_value='4', default_value='')
=======================================================================
I0801 21:50:46.243454 227391 tcp_utils.cc:130] Successfully connected to 10.8.145.246:55563
I0801 21:50:46.275384 227391 process_group_nccl.cc:120] ProcessGroupNCCL pg_timeout_ 1800000
W0801 21:50:46.289412 227391 gpu_resources.cc:119] Please NOTE: device: 4, GPU Compute Capability: 90.2, Driver API Version: 50724.2, Runtime API Version: 50724.2
RuntimeError: module compiled against ABI version 0x1000009 but this version of numpy is 0x2000000
RuntimeError: module compiled against ABI version 0x1000009 but this version of numpy is 0x2000000
Traceback (most recent call last):
  File "/root/paddle_dbnet/tools/train.py", line 30, in <module>
    from ppocr.data import build_dataloader
  File "/root/paddle_dbnet/ppocr/data/__init__.py", line 35, in <module>
    from ppocr.data.imaug import transform, create_operators
  File "/root/paddle_dbnet/ppocr/data/imaug/__init__.py", line 19, in <module>
    from .iaa_augment import IaaAugment
  File "/root/paddle_dbnet/ppocr/data/imaug/iaa_augment.py", line 24, in <module>
    import imgaug
  File "/root/anaconda3/envs/dbnet_test/lib/python3.10/site-packages/imgaug/__init__.py", line 7, in <module>
    from imgaug.imgaug import *  # pylint: disable=redefined-builtin
  File "/root/anaconda3/envs/dbnet_test/lib/python3.10/site-packages/imgaug/imgaug.py", line 18, in <module>
    import cv2
ImportError: numpy.core.multiarray failed to import
======================= Modified FLAGS detected =======================
FLAGS(name='FLAGS_selected_gpus', current_value='4', default_value='')
FLAGS(name='FLAGS_cudnn_batchnorm_spatial_persistent', current_value=True, default_value=False)
=======================================================================
I0809 17:16:34.717710 262690 tcp_utils.cc:107] Retry to connect to 127.0.0.1:40029 while the server is not yet listening.
I0809 17:16:37.717845 262690 tcp_utils.cc:130] Successfully connected to 127.0.0.1:40029
I0809 17:16:37.747900 262690 process_group_nccl.cc:120] ProcessGroupNCCL pg_timeout_ 1800000
Traceback (most recent call last):
  File "/root/paddle_dbnet/tools/train.py", line 198, in <module>
    main(config, device, logger, vdl_writer)
  File "/root/paddle_dbnet/tools/train.py", line 53, in main
    train_dataloader = build_dataloader(config, 'Train', device, logger)
  File "/root/paddle_dbnet/ppocr/data/__init__.py", line 65, in build_dataloader
    dataset = eval(module_name)(config, mode, logger, seed)
  File "/root/paddle_dbnet/ppocr/data/simple_dataset.py", line 47, in __init__
    self.data_lines = self.get_image_info_list(label_file_list, ratio_list)
  File "/root/paddle_dbnet/ppocr/data/simple_dataset.py", line 61, in get_image_info_list
    with open(file, "rb") as f:
FileNotFoundError: [Errno 2] No such file or directory: '/datasets/icdar2015/text_localization/train_icdar2015_label.txt'