2023-06-27 08:16:41.671893  cuda
2023-06-27 08:17:08.828368  Train: epoch: 1 batch: 0/4, loss: 0.690686
2023-06-27 08:18:35.142136  Validation: avg loss: 0.6951, avg acc: 42.8571%
2023-06-27 08:19:02.374354  Train: epoch: 2 batch: 0/4, loss: 0.699319
2023-06-27 08:20:28.626366  Validation: avg loss: 0.6834, avg acc: 57.1429%
2023-06-27 08:20:55.751758  Train: epoch: 3 batch: 0/4, loss: 0.667576
2023-06-27 08:22:21.997209  Validation: avg loss: 0.6878, avg acc: 57.1429%
2023-06-27 08:22:49.193378  Train: epoch: 4 batch: 0/4, loss: 0.667708
2023-06-27 08:24:15.387809  Validation: avg loss: 0.6996, avg acc: 42.8571%
2023-06-27 08:24:42.553643  Train: epoch: 5 batch: 0/4, loss: 0.670109
2023-06-27 08:26:08.866459  Validation: avg loss: 0.6886, avg acc: 57.1429%
2023-06-27 08:26:36.081375  Train: epoch: 6 batch: 0/4, loss: 0.639370
2023-06-27 08:28:02.278285  Validation: avg loss: 0.7140, avg acc: 42.8571%
2023-06-27 08:28:29.519126  Train: epoch: 7 batch: 0/4, loss: 0.594772
2023-06-27 08:29:55.839928  Validation: avg loss: 0.6951, avg acc: 42.8571%
2023-06-27 08:30:23.007158  Train: epoch: 8 batch: 0/4, loss: 0.507376
2023-06-27 08:31:49.132699  Validation: avg loss: 0.7306, avg acc: 42.8571%
2023-06-27 08:32:16.249712  Train: epoch: 9 batch: 0/4, loss: 0.459418
2023-06-27 08:33:42.481942  Validation: avg loss: 0.7156, avg acc: 42.8571%
2023-06-27 08:34:09.593378  Train: epoch: 10 batch: 0/4, loss: 0.399126
2023-06-27 08:35:35.798481  Validation: avg loss: 0.8311, avg acc: 42.8571%
2023-06-27 08:36:03.008162  Train: epoch: 11 batch: 0/4, loss: 0.323756
2023-06-27 08:37:29.221067  Validation: avg loss: 0.7270, avg acc: 47.6190%
2023-06-27 08:37:56.409267  Train: epoch: 12 batch: 0/4, loss: 0.283424
2023-06-27 08:39:22.562759  Validation: avg loss: 0.7440, avg acc: 54.2857%
2023-06-27 08:39:49.687929  Train: epoch: 13 batch: 0/4, loss: 0.167859
2023-06-27 08:41:16.034551  Validation: avg loss: 0.7283, avg acc: 58.0952%
2023-06-27 08:41:43.186369  Train: epoch: 14 batch: 0/4, loss: 0.102730
2023-06-27 08:43:09.325541  Validation: avg loss: 0.7591, avg acc: 61.9048%
2023-06-27 08:43:36.529436  Train: epoch: 15 batch: 0/4, loss: 0.074994
2023-06-27 08:45:02.694462  Validation: avg loss: 0.7766, avg acc: 64.7619%
2023-06-27 08:45:29.836347  Train: epoch: 16 batch: 0/4, loss: 0.045623
2023-06-27 08:46:56.112357  Validation: avg loss: 0.7725, avg acc: 67.6190%
2023-06-27 08:47:23.309353  Train: epoch: 17 batch: 0/4, loss: 0.035577
2023-06-27 08:48:49.607474  Validation: avg loss: 0.8334, avg acc: 69.5238%
2023-06-27 08:49:16.910803  Train: epoch: 18 batch: 0/4, loss: 0.041118
2023-06-27 08:50:43.077512  Validation: avg loss: 0.9475, avg acc: 64.7619%
2023-06-27 08:51:10.233906  Train: epoch: 19 batch: 0/4, loss: 0.025593
2023-06-27 08:52:36.387857  Validation: avg loss: 1.0298, avg acc: 64.7619%
2023-06-27 08:53:03.496448  Train: epoch: 20 batch: 0/4, loss: 0.011434
2023-06-27 08:54:29.840693  Validation: avg loss: 1.1044, avg acc: 63.8095%
2023-06-27 08:54:57.115212  Train: epoch: 21 batch: 0/4, loss: 0.008180
2023-06-27 08:56:23.369830  Validation: avg loss: 1.1129, avg acc: 64.7619%
2023-06-27 08:56:50.531572  Train: epoch: 22 batch: 0/4, loss: 0.008584
2023-06-27 08:58:16.876190  Validation: avg loss: 1.1464, avg acc: 65.7143%
2023-06-27 08:58:44.109805  Train: epoch: 23 batch: 0/4, loss: 0.006289
2023-06-27 09:00:10.520495  Validation: avg loss: 1.2131, avg acc: 64.7619%
2023-06-27 09:00:37.795441  Train: epoch: 24 batch: 0/4, loss: 0.006696
2023-06-27 09:02:04.233420  Validation: avg loss: 1.2434, avg acc: 63.8095%
2023-06-27 09:02:31.527578  Train: epoch: 25 batch: 0/4, loss: 0.006396
2023-06-27 09:03:58.062903  Validation: avg loss: 1.2861, avg acc: 64.7619%
2023-06-27 09:04:25.202483  Train: epoch: 26 batch: 0/4, loss: 0.006774
2023-06-27 09:05:51.564121  Validation: avg loss: 1.3280, avg acc: 65.7143%
2023-06-27 09:06:18.776448  Train: epoch: 27 batch: 0/4, loss: 0.004234
2023-06-27 09:07:45.325998  Validation: avg loss: 1.3473, avg acc: 70.4762%
2023-06-27 09:08:12.558660  Train: epoch: 28 batch: 0/4, loss: 0.004215
2023-06-27 09:09:39.210121  Validation: avg loss: 1.3675, avg acc: 69.5238%
2023-06-27 09:10:06.424814  Train: epoch: 29 batch: 0/4, loss: 0.002990
2023-06-27 09:11:32.885334  Validation: avg loss: 1.3709, avg acc: 68.5714%
2023-06-27 09:12:00.117189  Train: epoch: 30 batch: 0/4, loss: 0.002743
2023-06-27 09:13:26.594575  Validation: avg loss: 1.3784, avg acc: 63.8095%
2023-06-27 09:13:53.903212  Train: epoch: 31 batch: 0/4, loss: 0.003456
2023-06-27 09:15:20.425816  Validation: avg loss: 1.3805, avg acc: 63.8095%
2023-06-27 09:15:47.705312  Train: epoch: 32 batch: 0/4, loss: 0.002079
2023-06-27 09:17:14.401271  Validation: avg loss: 1.3821, avg acc: 63.8095%
2023-06-27 09:17:41.656943  Train: epoch: 33 batch: 0/4, loss: 0.002024
2023-06-27 09:19:08.187980  Validation: avg loss: 1.3959, avg acc: 62.8571%
2023-06-27 09:19:35.549571  Train: epoch: 34 batch: 0/4, loss: 0.002082
2023-06-27 09:21:02.014229  Validation: avg loss: 1.4013, avg acc: 64.7619%
2023-06-27 09:21:29.214740  Train: epoch: 35 batch: 0/4, loss: 0.001415
2023-06-27 09:22:55.758057  Validation: avg loss: 1.4173, avg acc: 63.8095%
2023-06-27 09:23:23.063048  Train: epoch: 36 batch: 0/4, loss: 0.001674
2023-06-27 09:24:49.625627  Validation: avg loss: 1.4322, avg acc: 65.7143%
2023-06-27 09:25:16.910659  Train: epoch: 37 batch: 0/4, loss: 0.001886
2023-06-27 09:26:43.283342  Validation: avg loss: 1.4460, avg acc: 65.7143%
2023-06-27 09:27:10.702859  Train: epoch: 38 batch: 0/4, loss: 0.001493
2023-06-27 09:28:37.080170  Validation: avg loss: 1.4463, avg acc: 65.7143%
2023-06-27 09:29:04.419829  Train: epoch: 39 batch: 0/4, loss: 0.000958
2023-06-27 09:30:30.713857  Validation: avg loss: 1.4333, avg acc: 65.7143%
2023-06-27 09:30:57.909946  Train: epoch: 40 batch: 0/4, loss: 0.000895
2023-06-27 09:32:24.132378  Validation: avg loss: 1.4366, avg acc: 66.6667%
2023-06-27 09:32:51.354331  Train: epoch: 41 batch: 0/4, loss: 0.001026
2023-06-27 09:34:17.521434  Validation: avg loss: 1.4490, avg acc: 66.6667%
2023-06-27 09:34:44.682128  Train: epoch: 42 batch: 0/4, loss: 0.001024
2023-06-27 09:36:10.952673  Validation: avg loss: 1.4517, avg acc: 66.6667%
2023-06-27 09:36:38.094327  Train: epoch: 43 batch: 0/4, loss: 0.000966
2023-06-27 09:38:04.351234  Validation: avg loss: 1.4680, avg acc: 68.5714%
2023-06-27 09:38:31.477071  Train: epoch: 44 batch: 0/4, loss: 0.000702
2023-06-27 09:39:57.566202  Validation: avg loss: 1.4892, avg acc: 67.6190%
2023-06-27 09:40:24.683609  Train: epoch: 45 batch: 0/4, loss: 0.000781
2023-06-27 09:41:50.898765  Validation: avg loss: 1.4939, avg acc: 67.6190%
2023-06-27 09:42:18.038318  Train: epoch: 46 batch: 0/4, loss: 0.001826
2023-06-27 09:43:44.314628  Validation: avg loss: 1.4887, avg acc: 68.5714%
2023-06-27 09:44:11.433003  Train: epoch: 47 batch: 0/4, loss: 0.000676
2023-06-27 09:45:37.681621  Validation: avg loss: 1.4772, avg acc: 68.5714%
2023-06-27 09:46:04.826717  Train: epoch: 48 batch: 0/4, loss: 0.005239
2023-06-27 09:47:30.986014  Validation: avg loss: 1.4791, avg acc: 68.5714%
2023-06-27 09:47:58.165325  Train: epoch: 49 batch: 0/4, loss: 0.001139
2023-06-27 09:49:24.535061  Validation: avg loss: 1.4732, avg acc: 65.7143%
2023-06-27 09:49:51.634992  Train: epoch: 50 batch: 0/4, loss: 0.000766
2023-06-27 09:51:17.910953  Validation: avg loss: 1.4655, avg acc: 67.6190%