2023-06-28 01:27:29.498289  cuda
2023-06-28 01:27:44.178977  Train: epoch: 1 batch: 0/4, loss: 0.694665
2023-06-28 01:28:29.371643  Validation: avg loss: 0.6901, avg acc: 57.1429%
2023-06-28 01:28:43.662205  Train: epoch: 2 batch: 0/4, loss: 0.682679
2023-06-28 01:29:28.565725  Validation: avg loss: 0.6858, avg acc: 57.1429%
2023-06-28 01:29:43.024816  Train: epoch: 3 batch: 0/4, loss: 0.678544
2023-06-28 01:30:27.987655  Validation: avg loss: 0.6832, avg acc: 57.1429%
2023-06-28 01:30:42.736962  Train: epoch: 4 batch: 0/4, loss: 0.660189
2023-06-28 01:31:27.914631  Validation: avg loss: 0.6962, avg acc: 42.8571%
2023-06-28 01:31:42.189873  Train: epoch: 5 batch: 0/4, loss: 0.659297
2023-06-28 01:32:27.646864  Validation: avg loss: 0.6919, avg acc: 57.1429%
2023-06-28 01:32:41.879671  Train: epoch: 6 batch: 0/4, loss: 0.667431
2023-06-28 01:33:26.964715  Validation: avg loss: 0.7075, avg acc: 42.8571%
2023-06-28 01:33:41.063045  Train: epoch: 7 batch: 0/4, loss: 0.617283
2023-06-28 01:34:25.824487  Validation: avg loss: 0.6911, avg acc: 60.9524%
2023-06-28 01:34:40.323201  Train: epoch: 8 batch: 0/4, loss: 0.570127
2023-06-28 01:35:25.522091  Validation: avg loss: 0.6935, avg acc: 45.7143%
2023-06-28 01:35:39.993172  Train: epoch: 9 batch: 0/4, loss: 0.548969
2023-06-28 01:36:25.697874  Validation: avg loss: 0.7317, avg acc: 42.8571%
2023-06-28 01:36:39.958004  Train: epoch: 10 batch: 0/4, loss: 0.484664
2023-06-28 01:37:25.704423  Validation: avg loss: 0.7028, avg acc: 49.5238%
2023-06-28 01:37:40.575212  Train: epoch: 11 batch: 0/4, loss: 0.441138
2023-06-28 01:38:26.980730  Validation: avg loss: 0.7058, avg acc: 49.5238%
2023-06-28 01:38:41.458257  Train: epoch: 12 batch: 0/4, loss: 0.367233
2023-06-28 01:39:26.975605  Validation: avg loss: 0.7120, avg acc: 50.4762%
2023-06-28 01:39:41.237388  Train: epoch: 13 batch: 0/4, loss: 0.213344
2023-06-28 01:40:26.060785  Validation: avg loss: 0.6638, avg acc: 63.8095%
2023-06-28 01:40:40.391417  Train: epoch: 14 batch: 0/4, loss: 0.255976
2023-06-28 01:41:25.504246  Validation: avg loss: 0.6382, avg acc: 61.9048%
2023-06-28 01:41:39.780481  Train: epoch: 15 batch: 0/4, loss: 0.102169
2023-06-28 01:42:25.074077  Validation: avg loss: 0.7021, avg acc: 62.8571%
2023-06-28 01:42:39.402949  Train: epoch: 16 batch: 0/4, loss: 0.099181
2023-06-28 01:43:24.189954  Validation: avg loss: 0.7925, avg acc: 61.9048%
2023-06-28 01:43:38.854012  Train: epoch: 17 batch: 0/4, loss: 0.057370
2023-06-28 01:44:23.593833  Validation: avg loss: 0.9190, avg acc: 60.0000%
2023-06-28 01:44:38.082592  Train: epoch: 18 batch: 0/4, loss: 0.051161
2023-06-28 01:45:22.948901  Validation: avg loss: 1.1094, avg acc: 55.2381%
2023-06-28 01:45:37.120141  Train: epoch: 19 batch: 0/4, loss: 0.028416
2023-06-28 01:46:22.201313  Validation: avg loss: 1.1909, avg acc: 58.0952%
2023-06-28 01:46:36.615099  Train: epoch: 20 batch: 0/4, loss: 0.018945
2023-06-28 01:47:21.802085  Validation: avg loss: 1.2461, avg acc: 60.9524%
2023-06-28 01:47:36.094373  Train: epoch: 21 batch: 0/4, loss: 0.011535
2023-06-28 01:48:21.098979  Validation: avg loss: 1.2550, avg acc: 61.9048%
2023-06-28 01:48:35.396349  Train: epoch: 22 batch: 0/4, loss: 0.017535
2023-06-28 01:49:20.045914  Validation: avg loss: 1.1881, avg acc: 61.9048%
2023-06-28 01:49:34.214638  Train: epoch: 23 batch: 0/4, loss: 0.020899
2023-06-28 01:50:19.639548  Validation: avg loss: 1.2605, avg acc: 62.8571%
2023-06-28 01:50:33.690343  Train: epoch: 24 batch: 0/4, loss: 0.013029
2023-06-28 01:51:18.948007  Validation: avg loss: 1.4516, avg acc: 59.0476%
2023-06-28 01:51:33.346062  Train: epoch: 25 batch: 0/4, loss: 0.026440
2023-06-28 01:52:17.898719  Validation: avg loss: 1.4270, avg acc: 61.9048%
2023-06-28 01:52:32.075626  Train: epoch: 26 batch: 0/4, loss: 0.015461
2023-06-28 01:53:17.104184  Validation: avg loss: 1.4306, avg acc: 64.7619%
2023-06-28 01:53:31.273740  Train: epoch: 27 batch: 0/4, loss: 0.013917
2023-06-28 01:54:16.904646  Validation: avg loss: 1.4380, avg acc: 63.8095%
2023-06-28 01:54:31.165321  Train: epoch: 28 batch: 0/4, loss: 0.009092
2023-06-28 01:55:16.958980  Validation: avg loss: 1.4684, avg acc: 60.0000%
2023-06-28 01:55:31.080000  Train: epoch: 29 batch: 0/4, loss: 0.027234
2023-06-28 01:56:15.931152  Validation: avg loss: 1.5698, avg acc: 63.8095%
2023-06-28 01:56:30.209265  Train: epoch: 30 batch: 0/4, loss: 0.005990
2023-06-28 01:57:15.520408  Validation: avg loss: 1.5776, avg acc: 71.4286%
2023-06-28 01:57:29.918785  Train: epoch: 31 batch: 0/4, loss: 0.007899
2023-06-28 01:58:15.301725  Validation: avg loss: 1.6919, avg acc: 66.6667%
2023-06-28 01:58:30.041185  Train: epoch: 32 batch: 0/4, loss: 0.010279
2023-06-28 01:59:15.084527  Validation: avg loss: 1.8546, avg acc: 62.8571%
2023-06-28 01:59:29.231390  Train: epoch: 33 batch: 0/4, loss: 0.007202
2023-06-28 02:00:14.169353  Validation: avg loss: 1.7220, avg acc: 63.8095%
2023-06-28 02:00:28.461046  Train: epoch: 34 batch: 0/4, loss: 0.009014
2023-06-28 02:01:13.840142  Validation: avg loss: 1.5476, avg acc: 66.6667%
2023-06-28 02:01:28.402509  Train: epoch: 35 batch: 0/4, loss: 0.011448
2023-06-28 02:02:14.837432  Validation: avg loss: 1.4587, avg acc: 64.7619%
2023-06-28 02:02:29.477797  Train: epoch: 36 batch: 0/4, loss: 0.004358
2023-06-28 02:03:14.868202  Validation: avg loss: 1.5383, avg acc: 60.0000%
2023-06-28 02:03:29.201787  Train: epoch: 37 batch: 0/4, loss: 0.009107
2023-06-28 02:04:13.978770  Validation: avg loss: 1.6280, avg acc: 60.0000%
2023-06-28 02:04:28.043453  Train: epoch: 38 batch: 0/4, loss: 0.012865
2023-06-28 02:05:13.314995  Validation: avg loss: 1.4671, avg acc: 60.9524%
2023-06-28 02:05:27.596150  Train: epoch: 39 batch: 0/4, loss: 0.009916
2023-06-28 02:06:14.256498  Validation: avg loss: 1.5654, avg acc: 67.6190%
2023-06-28 02:06:31.292249  Train: epoch: 40 batch: 0/4, loss: 0.004399
2023-06-28 02:07:25.473131  Validation: avg loss: 1.6744, avg acc: 67.6190%
2023-06-28 02:07:42.836883  Train: epoch: 41 batch: 0/4, loss: 0.005982
2023-06-28 02:08:37.663422  Validation: avg loss: 1.6835, avg acc: 64.7619%
2023-06-28 02:08:54.637783  Train: epoch: 42 batch: 0/4, loss: 0.003240
2023-06-28 02:09:47.997422  Validation: avg loss: 1.6657, avg acc: 63.8095%
2023-06-28 02:10:04.771465  Train: epoch: 43 batch: 0/4, loss: 0.006902
2023-06-28 02:10:58.377040  Validation: avg loss: 1.7045, avg acc: 65.7143%
2023-06-28 02:11:15.395956  Train: epoch: 44 batch: 0/4, loss: 0.010419
2023-06-28 02:12:09.470289  Validation: avg loss: 1.7507, avg acc: 66.6667%
2023-06-28 02:12:26.317963  Train: epoch: 45 batch: 0/4, loss: 0.003494
2023-06-28 02:13:14.431945  Validation: avg loss: 1.7484, avg acc: 66.6667%
2023-06-28 02:13:28.901484  Train: epoch: 46 batch: 0/4, loss: 0.001555
2023-06-28 02:14:13.942030  Validation: avg loss: 1.8422, avg acc: 60.9524%
2023-06-28 02:14:28.333940  Train: epoch: 47 batch: 0/4, loss: 0.003026
2023-06-28 02:15:13.232646  Validation: avg loss: 2.1813, avg acc: 60.9524%
2023-06-28 02:15:27.601842  Train: epoch: 48 batch: 0/4, loss: 0.001304
2023-06-28 02:16:12.214901  Validation: avg loss: 2.1655, avg acc: 61.9048%
2023-06-28 02:16:26.543083  Train: epoch: 49 batch: 0/4, loss: 0.003734
2023-06-28 02:17:11.206616  Validation: avg loss: 2.1269, avg acc: 60.0000%
2023-06-28 02:17:25.427501  Train: epoch: 50 batch: 0/4, loss: 0.008758
2023-06-28 02:18:10.157643  Validation: avg loss: 2.0094, avg acc: 62.8571%