2023-06-27 06:42:22.664735  cuda
2023-06-27 06:42:49.683260  Train: epoch: 1 batch: 0/4, loss: 0.693770
2023-06-27 06:44:15.526042  Validation: avg loss: 0.6854, avg acc: 58.0952%
2023-06-27 06:44:42.683815  Train: epoch: 2 batch: 0/4, loss: 0.655639
2023-06-27 06:46:08.514930  Validation: avg loss: 0.6846, avg acc: 58.0952%
2023-06-27 06:46:35.626708  Train: epoch: 3 batch: 0/4, loss: 0.720493
2023-06-27 06:48:01.419229  Validation: avg loss: 0.6834, avg acc: 58.0952%
2023-06-27 06:48:28.619004  Train: epoch: 4 batch: 0/4, loss: 0.680833
2023-06-27 06:49:54.705162  Validation: avg loss: 0.6826, avg acc: 58.0952%
2023-06-27 06:50:21.880716  Train: epoch: 5 batch: 0/4, loss: 0.643147
2023-06-27 06:51:48.103116  Validation: avg loss: 0.6819, avg acc: 58.0952%
2023-06-27 06:52:15.405590  Train: epoch: 6 batch: 0/4, loss: 0.658301
2023-06-27 06:53:41.794667  Validation: avg loss: 0.7019, avg acc: 58.0952%
2023-06-27 06:54:08.989946  Train: epoch: 7 batch: 0/4, loss: 0.626457
2023-06-27 06:55:35.085047  Validation: avg loss: 0.6995, avg acc: 58.0952%
2023-06-27 06:56:02.292537  Train: epoch: 8 batch: 0/4, loss: 0.581392
2023-06-27 06:57:28.280874  Validation: avg loss: 0.7259, avg acc: 58.0952%
2023-06-27 06:57:55.387974  Train: epoch: 9 batch: 0/4, loss: 0.532518
2023-06-27 06:59:21.331670  Validation: avg loss: 0.7435, avg acc: 58.0952%
2023-06-27 06:59:48.470277  Train: epoch: 10 batch: 0/4, loss: 0.471245
2023-06-27 07:01:14.597467  Validation: avg loss: 0.7109, avg acc: 58.0952%
2023-06-27 07:01:41.666952  Train: epoch: 11 batch: 0/4, loss: 0.456124
2023-06-27 07:03:07.611760  Validation: avg loss: 0.7666, avg acc: 58.0952%
2023-06-27 07:03:34.825572  Train: epoch: 12 batch: 0/4, loss: 0.359414
2023-06-27 07:05:00.946475  Validation: avg loss: 0.8016, avg acc: 59.0476%
2023-06-27 07:05:28.059524  Train: epoch: 13 batch: 0/4, loss: 0.262552
2023-06-27 07:06:53.870183  Validation: avg loss: 0.8072, avg acc: 58.0952%
2023-06-27 07:07:21.037078  Train: epoch: 14 batch: 0/4, loss: 0.188243
2023-06-27 07:08:46.897253  Validation: avg loss: 0.8095, avg acc: 56.1905%
2023-06-27 07:09:13.932157  Train: epoch: 15 batch: 0/4, loss: 0.129102
2023-06-27 07:10:39.901775  Validation: avg loss: 0.8382, avg acc: 56.1905%
2023-06-27 07:11:06.991319  Train: epoch: 16 batch: 0/4, loss: 0.093092
2023-06-27 07:12:32.989789  Validation: avg loss: 0.8981, avg acc: 56.1905%
2023-06-27 07:13:00.074733  Train: epoch: 17 batch: 0/4, loss: 0.086155
2023-06-27 07:14:25.883370  Validation: avg loss: 0.9543, avg acc: 60.0000%
2023-06-27 07:14:53.021708  Train: epoch: 18 batch: 0/4, loss: 0.036784
2023-06-27 07:16:18.873239  Validation: avg loss: 1.0442, avg acc: 60.0000%
2023-06-27 07:16:46.005266  Train: epoch: 19 batch: 0/4, loss: 0.055521
2023-06-27 07:18:11.982981  Validation: avg loss: 1.1641, avg acc: 61.9048%
2023-06-27 07:18:39.074146  Train: epoch: 20 batch: 0/4, loss: 0.017713
2023-06-27 07:20:05.040391  Validation: avg loss: 1.2642, avg acc: 58.0952%
2023-06-27 07:20:32.116068  Train: epoch: 21 batch: 0/4, loss: 0.032324
2023-06-27 07:21:58.174770  Validation: avg loss: 1.3310, avg acc: 55.2381%
2023-06-27 07:22:25.332283  Train: epoch: 22 batch: 0/4, loss: 0.023996
2023-06-27 07:23:51.266300  Validation: avg loss: 1.3239, avg acc: 57.1429%
2023-06-27 07:24:18.405164  Train: epoch: 23 batch: 0/4, loss: 0.012324
2023-06-27 07:25:44.275590  Validation: avg loss: 1.3201, avg acc: 60.0000%
2023-06-27 07:26:11.468797  Train: epoch: 24 batch: 0/4, loss: 0.011515
2023-06-27 07:27:37.520856  Validation: avg loss: 1.3116, avg acc: 58.0952%
2023-06-27 07:28:04.712914  Train: epoch: 25 batch: 0/4, loss: 0.008466
2023-06-27 07:29:30.681416  Validation: avg loss: 1.3888, avg acc: 56.1905%
2023-06-27 07:29:57.867649  Train: epoch: 26 batch: 0/4, loss: 0.005055
2023-06-27 07:31:23.916903  Validation: avg loss: 1.4135, avg acc: 55.2381%
2023-06-27 07:31:51.090717  Train: epoch: 27 batch: 0/4, loss: 0.005897
2023-06-27 07:33:17.199711  Validation: avg loss: 1.4217, avg acc: 57.1429%
2023-06-27 07:33:44.456507  Train: epoch: 28 batch: 0/4, loss: 0.006878
2023-06-27 07:35:10.421761  Validation: avg loss: 1.3648, avg acc: 60.0000%
2023-06-27 07:35:37.486902  Train: epoch: 29 batch: 0/4, loss: 0.004902
2023-06-27 07:37:03.364549  Validation: avg loss: 1.3468, avg acc: 60.0000%
2023-06-27 07:37:30.525557  Train: epoch: 30 batch: 0/4, loss: 0.005047
2023-06-27 07:38:56.241096  Validation: avg loss: 1.3626, avg acc: 57.1429%
2023-06-27 07:39:23.479469  Train: epoch: 31 batch: 0/4, loss: 0.003453
2023-06-27 07:40:49.762499  Validation: avg loss: 1.4018, avg acc: 60.0000%
2023-06-27 07:41:16.918926  Train: epoch: 32 batch: 0/4, loss: 0.002363
2023-06-27 07:42:42.922745  Validation: avg loss: 1.4276, avg acc: 59.0476%
2023-06-27 07:43:09.998584  Train: epoch: 33 batch: 0/4, loss: 0.002357
2023-06-27 07:44:35.854984  Validation: avg loss: 1.4405, avg acc: 57.1429%
2023-06-27 07:45:02.991954  Train: epoch: 34 batch: 0/4, loss: 0.003071
2023-06-27 07:46:28.940870  Validation: avg loss: 1.4781, avg acc: 57.1429%
2023-06-27 07:46:55.997396  Train: epoch: 35 batch: 0/4, loss: 0.001953
2023-06-27 07:48:21.908031  Validation: avg loss: 1.5272, avg acc: 57.1429%
2023-06-27 07:48:48.977862  Train: epoch: 36 batch: 0/4, loss: 0.001670
2023-06-27 07:50:14.967402  Validation: avg loss: 1.5479, avg acc: 57.1429%
2023-06-27 07:50:42.154308  Train: epoch: 37 batch: 0/4, loss: 0.001557
2023-06-27 07:52:08.146007  Validation: avg loss: 1.5699, avg acc: 55.2381%
2023-06-27 07:52:35.320626  Train: epoch: 38 batch: 0/4, loss: 0.001475
2023-06-27 07:54:01.492034  Validation: avg loss: 1.5750, avg acc: 55.2381%
2023-06-27 07:54:28.647785  Train: epoch: 39 batch: 0/4, loss: 0.001193
2023-06-27 07:55:54.769284  Validation: avg loss: 1.5709, avg acc: 56.1905%
2023-06-27 07:56:22.082268  Train: epoch: 40 batch: 0/4, loss: 0.002243
2023-06-27 07:57:48.388768  Validation: avg loss: 1.5745, avg acc: 54.2857%
2023-06-27 07:58:15.582774  Train: epoch: 41 batch: 0/4, loss: 0.001138
2023-06-27 07:59:41.728371  Validation: avg loss: 1.5704, avg acc: 56.1905%
2023-06-27 08:00:08.860999  Train: epoch: 42 batch: 0/4, loss: 0.001327
2023-06-27 08:01:34.976652  Validation: avg loss: 1.5660, avg acc: 56.1905%
2023-06-27 08:02:02.173986  Train: epoch: 43 batch: 0/4, loss: 0.001350
2023-06-27 08:03:28.548212  Validation: avg loss: 1.5591, avg acc: 56.1905%
2023-06-27 08:03:55.715433  Train: epoch: 44 batch: 0/4, loss: 0.000939
2023-06-27 08:05:21.687779  Validation: avg loss: 1.5663, avg acc: 55.2381%
2023-06-27 08:05:48.901546  Train: epoch: 45 batch: 0/4, loss: 0.000865
2023-06-27 08:07:14.975653  Validation: avg loss: 1.5703, avg acc: 56.1905%
2023-06-27 08:07:42.190918  Train: epoch: 46 batch: 0/4, loss: 0.000667
2023-06-27 08:09:08.386628  Validation: avg loss: 1.5740, avg acc: 55.2381%
2023-06-27 08:09:35.638747  Train: epoch: 47 batch: 0/4, loss: 0.000699
2023-06-27 08:11:01.815987  Validation: avg loss: 1.5869, avg acc: 54.2857%
2023-06-27 08:11:29.070707  Train: epoch: 48 batch: 0/4, loss: 0.000814
2023-06-27 08:12:55.262050  Validation: avg loss: 1.5998, avg acc: 54.2857%
2023-06-27 08:13:22.351201  Train: epoch: 49 batch: 0/4, loss: 0.000563
2023-06-27 08:14:48.444456  Validation: avg loss: 1.6083, avg acc: 55.2381%
2023-06-27 08:15:15.595664  Train: epoch: 50 batch: 0/4, loss: 0.000503
2023-06-27 08:16:41.639037  Validation: avg loss: 1.6140, avg acc: 55.2381%