2023-06-27 22:27:51.832053  cuda
2023-06-27 22:28:18.966184  Train: epoch: 1 batch: 0/4, loss: 0.691489
2023-06-27 22:29:45.254707  Validation: avg loss: 0.6880, avg acc: 56.1905%
2023-06-27 22:30:12.419829  Train: epoch: 2 batch: 0/4, loss: 0.687985
2023-06-27 22:31:38.632632  Validation: avg loss: 0.6870, avg acc: 56.1905%
2023-06-27 22:32:05.856508  Train: epoch: 3 batch: 0/4, loss: 0.664902
2023-06-27 22:33:32.283738  Validation: avg loss: 0.6854, avg acc: 56.1905%
2023-06-27 22:33:59.618473  Train: epoch: 4 batch: 0/4, loss: 0.652908
2023-06-27 22:35:25.952811  Validation: avg loss: 0.6924, avg acc: 56.1905%
2023-06-27 22:35:53.276123  Train: epoch: 5 batch: 0/4, loss: 0.661903
2023-06-27 22:37:19.674701  Validation: avg loss: 0.7142, avg acc: 56.1905%
2023-06-27 22:37:46.925452  Train: epoch: 6 batch: 0/4, loss: 0.633644
2023-06-27 22:39:13.350616  Validation: avg loss: 0.6886, avg acc: 57.1429%
2023-06-27 22:39:40.541397  Train: epoch: 7 batch: 0/4, loss: 0.532679
2023-06-27 22:41:06.927873  Validation: avg loss: 0.7044, avg acc: 57.1429%
2023-06-27 22:41:34.176921  Train: epoch: 8 batch: 0/4, loss: 0.487369
2023-06-27 22:43:00.692394  Validation: avg loss: 0.6965, avg acc: 57.1429%
2023-06-27 22:43:27.966500  Train: epoch: 9 batch: 0/4, loss: 0.379780
2023-06-27 22:44:54.412808  Validation: avg loss: 0.6885, avg acc: 57.1429%
2023-06-27 22:45:21.638308  Train: epoch: 10 batch: 0/4, loss: 0.307382
2023-06-27 22:46:48.002345  Validation: avg loss: 0.7254, avg acc: 57.1429%
2023-06-27 22:47:15.252622  Train: epoch: 11 batch: 0/4, loss: 0.233139
2023-06-27 22:48:41.800331  Validation: avg loss: 0.7208, avg acc: 56.1905%
2023-06-27 22:49:09.041666  Train: epoch: 12 batch: 0/4, loss: 0.159419
2023-06-27 22:50:35.559538  Validation: avg loss: 0.7355, avg acc: 59.0476%
2023-06-27 22:51:02.845616  Train: epoch: 13 batch: 0/4, loss: 0.087809
2023-06-27 22:52:29.205000  Validation: avg loss: 0.8750, avg acc: 61.9048%
2023-06-27 22:52:56.330139  Train: epoch: 14 batch: 0/4, loss: 0.058570
2023-06-27 22:54:22.825224  Validation: avg loss: 1.0395, avg acc: 55.2381%
2023-06-27 22:54:50.090389  Train: epoch: 15 batch: 0/4, loss: 0.030791
2023-06-27 22:56:16.468342  Validation: avg loss: 1.2059, avg acc: 56.1905%
2023-06-27 22:56:43.636218  Train: epoch: 16 batch: 0/4, loss: 0.020157
2023-06-27 22:58:09.832051  Validation: avg loss: 1.3417, avg acc: 55.2381%
2023-06-27 22:58:37.210557  Train: epoch: 17 batch: 0/4, loss: 0.016194
2023-06-27 23:00:03.726469  Validation: avg loss: 1.4593, avg acc: 56.1905%
2023-06-27 23:00:30.962348  Train: epoch: 18 batch: 0/4, loss: 0.009612
2023-06-27 23:01:57.414453  Validation: avg loss: 1.5738, avg acc: 56.1905%
2023-06-27 23:02:24.669349  Train: epoch: 19 batch: 0/4, loss: 0.008854
2023-06-27 23:03:51.020380  Validation: avg loss: 1.6681, avg acc: 55.2381%
2023-06-27 23:04:18.287586  Train: epoch: 20 batch: 0/4, loss: 0.006112
2023-06-27 23:05:44.749436  Validation: avg loss: 1.8148, avg acc: 57.1429%
2023-06-27 23:06:11.975419  Train: epoch: 21 batch: 0/4, loss: 0.004537
2023-06-27 23:07:38.478337  Validation: avg loss: 1.9523, avg acc: 58.0952%
2023-06-27 23:08:05.776003  Train: epoch: 22 batch: 0/4, loss: 0.006090
2023-06-27 23:09:32.229313  Validation: avg loss: 2.0454, avg acc: 55.2381%
2023-06-27 23:09:59.441040  Train: epoch: 23 batch: 0/4, loss: 0.004283
2023-06-27 23:11:25.880682  Validation: avg loss: 2.1055, avg acc: 55.2381%
2023-06-27 23:11:53.152548  Train: epoch: 24 batch: 0/4, loss: 0.002649
2023-06-27 23:13:19.607935  Validation: avg loss: 2.1385, avg acc: 55.2381%
2023-06-27 23:13:46.839895  Train: epoch: 25 batch: 0/4, loss: 0.003728
2023-06-27 23:15:13.402442  Validation: avg loss: 2.1422, avg acc: 55.2381%
2023-06-27 23:15:40.546642  Train: epoch: 26 batch: 0/4, loss: 0.002831
2023-06-27 23:17:06.760130  Validation: avg loss: 2.1652, avg acc: 57.1429%
2023-06-27 23:17:34.000658  Train: epoch: 27 batch: 0/4, loss: 0.002195
2023-06-27 23:19:00.391148  Validation: avg loss: 2.1812, avg acc: 56.1905%
2023-06-27 23:19:27.601230  Train: epoch: 28 batch: 0/4, loss: 0.001955
2023-06-27 23:20:53.949475  Validation: avg loss: 2.1915, avg acc: 56.1905%
2023-06-27 23:21:21.150679  Train: epoch: 29 batch: 0/4, loss: 0.001778
2023-06-27 23:22:47.303541  Validation: avg loss: 2.2282, avg acc: 56.1905%
2023-06-27 23:23:14.464922  Train: epoch: 30 batch: 0/4, loss: 0.001639
2023-06-27 23:24:40.867091  Validation: avg loss: 2.2540, avg acc: 55.2381%
2023-06-27 23:25:08.050482  Train: epoch: 31 batch: 0/4, loss: 0.001533
2023-06-27 23:26:34.576261  Validation: avg loss: 2.2137, avg acc: 55.2381%
2023-06-27 23:27:01.768863  Train: epoch: 32 batch: 0/4, loss: 0.001555
2023-06-27 23:28:27.999260  Validation: avg loss: 2.2468, avg acc: 55.2381%
2023-06-27 23:28:55.225629  Train: epoch: 33 batch: 0/4, loss: 0.001706
2023-06-27 23:30:21.681247  Validation: avg loss: 2.3247, avg acc: 55.2381%
2023-06-27 23:30:48.982995  Train: epoch: 34 batch: 0/4, loss: 0.001565
2023-06-27 23:32:15.608792  Validation: avg loss: 2.3080, avg acc: 55.2381%
2023-06-27 23:32:42.986142  Train: epoch: 35 batch: 0/4, loss: 0.001306
2023-06-27 23:34:09.402665  Validation: avg loss: 2.3443, avg acc: 55.2381%
2023-06-27 23:34:36.786915  Train: epoch: 36 batch: 0/4, loss: 0.001624
2023-06-27 23:36:02.883464  Validation: avg loss: 2.3030, avg acc: 55.2381%
2023-06-27 23:36:30.156288  Train: epoch: 37 batch: 0/4, loss: 0.001129
2023-06-27 23:37:56.563202  Validation: avg loss: 2.3256, avg acc: 55.2381%
2023-06-27 23:38:23.828423  Train: epoch: 38 batch: 0/4, loss: 0.001632
2023-06-27 23:39:49.910239  Validation: avg loss: 2.3233, avg acc: 55.2381%
2023-06-27 23:40:17.081929  Train: epoch: 39 batch: 0/4, loss: 0.001192
2023-06-27 23:41:43.311819  Validation: avg loss: 2.3452, avg acc: 55.2381%
2023-06-27 23:42:10.449951  Train: epoch: 40 batch: 0/4, loss: 0.001029
2023-06-27 23:43:36.513161  Validation: avg loss: 2.3589, avg acc: 55.2381%
2023-06-27 23:44:03.781847  Train: epoch: 41 batch: 0/4, loss: 0.000959
2023-06-27 23:45:29.998557  Validation: avg loss: 2.3532, avg acc: 55.2381%
2023-06-27 23:45:57.208244  Train: epoch: 42 batch: 0/4, loss: 0.000915
2023-06-27 23:47:23.613199  Validation: avg loss: 2.3384, avg acc: 55.2381%
2023-06-27 23:47:50.893525  Train: epoch: 43 batch: 0/4, loss: 0.001390
2023-06-27 23:49:17.249639  Validation: avg loss: 2.3514, avg acc: 55.2381%
2023-06-27 23:49:44.635435  Train: epoch: 44 batch: 0/4, loss: 0.000905
2023-06-27 23:51:11.195395  Validation: avg loss: 2.3539, avg acc: 55.2381%
2023-06-27 23:51:38.443645  Train: epoch: 45 batch: 0/4, loss: 0.001156
2023-06-27 23:53:04.607505  Validation: avg loss: 2.3513, avg acc: 55.2381%
2023-06-27 23:53:31.901613  Train: epoch: 46 batch: 0/4, loss: 0.000737
2023-06-27 23:54:58.050324  Validation: avg loss: 2.3489, avg acc: 55.2381%
2023-06-27 23:55:25.292960  Train: epoch: 47 batch: 0/4, loss: 0.000835
2023-06-27 23:56:51.409959  Validation: avg loss: 2.2573, avg acc: 55.2381%
2023-06-27 23:57:18.794972  Train: epoch: 48 batch: 0/4, loss: 0.000729
2023-06-27 23:58:44.903528  Validation: avg loss: 2.2249, avg acc: 55.2381%
2023-06-27 23:59:12.225103  Train: epoch: 49 batch: 0/4, loss: 0.001977
2023-06-28 00:00:38.421762  Validation: avg loss: 2.3659, avg acc: 52.3810%
2023-06-28 00:01:05.682615  Train: epoch: 50 batch: 0/4, loss: 0.000803
2023-06-28 00:02:31.868851  Validation: avg loss: 2.3760, avg acc: 52.3810%