2023-06-27 17:44:20.259056  cuda
2023-06-27 17:44:47.318012  Train: epoch: 1 batch: 0/4, loss: 0.692462
2023-06-27 17:46:13.368410  Validation: avg loss: 0.6884, avg acc: 56.1905%
2023-06-27 17:46:40.701727  Train: epoch: 2 batch: 0/4, loss: 0.687119
2023-06-27 17:48:06.647175  Validation: avg loss: 0.6875, avg acc: 56.1905%
2023-06-27 17:48:33.878785  Train: epoch: 3 batch: 0/4, loss: 0.679808
2023-06-27 17:50:00.037988  Validation: avg loss: 0.6876, avg acc: 56.1905%
2023-06-27 17:50:27.240718  Train: epoch: 4 batch: 0/4, loss: 0.669537
2023-06-27 17:51:53.425597  Validation: avg loss: 0.6869, avg acc: 56.1905%
2023-06-27 17:52:20.729457  Train: epoch: 5 batch: 0/4, loss: 0.637218
2023-06-27 17:53:46.986305  Validation: avg loss: 0.6864, avg acc: 56.1905%
2023-06-27 17:54:14.192430  Train: epoch: 6 batch: 0/4, loss: 0.598069
2023-06-27 17:55:40.354975  Validation: avg loss: 0.6981, avg acc: 45.7143%
2023-06-27 17:56:07.573075  Train: epoch: 7 batch: 0/4, loss: 0.557572
2023-06-27 17:57:33.761935  Validation: avg loss: 0.7235, avg acc: 44.7619%
2023-06-27 17:58:00.987469  Train: epoch: 8 batch: 0/4, loss: 0.503782
2023-06-27 17:59:26.990591  Validation: avg loss: 0.7296, avg acc: 45.7143%
2023-06-27 17:59:54.154153  Train: epoch: 9 batch: 0/4, loss: 0.430477
2023-06-27 18:01:20.293004  Validation: avg loss: 0.7308, avg acc: 44.7619%
2023-06-27 18:01:47.509230  Train: epoch: 10 batch: 0/4, loss: 0.344621
2023-06-27 18:03:13.898079  Validation: avg loss: 0.7507, avg acc: 46.6667%
2023-06-27 18:03:41.085454  Train: epoch: 11 batch: 0/4, loss: 0.230652
2023-06-27 18:05:07.346841  Validation: avg loss: 0.7826, avg acc: 50.4762%
2023-06-27 18:05:34.486573  Train: epoch: 12 batch: 0/4, loss: 0.163240
2023-06-27 18:07:00.623655  Validation: avg loss: 0.8571, avg acc: 54.2857%
2023-06-27 18:07:27.763831  Train: epoch: 13 batch: 0/4, loss: 0.104841
2023-06-27 18:08:53.981172  Validation: avg loss: 0.9937, avg acc: 50.4762%
2023-06-27 18:09:21.252013  Train: epoch: 14 batch: 0/4, loss: 0.058726
2023-06-27 18:10:47.447288  Validation: avg loss: 1.1520, avg acc: 55.2381%
2023-06-27 18:11:14.651218  Train: epoch: 15 batch: 0/4, loss: 0.034530
2023-06-27 18:12:40.912192  Validation: avg loss: 1.3721, avg acc: 57.1429%
2023-06-27 18:13:08.150680  Train: epoch: 16 batch: 0/4, loss: 0.022812
2023-06-27 18:14:34.365256  Validation: avg loss: 1.6733, avg acc: 56.1905%
2023-06-27 18:15:01.640513  Train: epoch: 17 batch: 0/4, loss: 0.018408
2023-06-27 18:16:27.857482  Validation: avg loss: 1.9762, avg acc: 59.0476%
2023-06-27 18:16:55.197711  Train: epoch: 18 batch: 0/4, loss: 0.011542
2023-06-27 18:18:21.396910  Validation: avg loss: 2.1780, avg acc: 58.0952%
2023-06-27 18:18:48.559325  Train: epoch: 19 batch: 0/4, loss: 0.006827
2023-06-27 18:20:14.650541  Validation: avg loss: 2.3833, avg acc: 57.1429%
2023-06-27 18:20:41.846639  Train: epoch: 20 batch: 0/4, loss: 0.007550
2023-06-27 18:22:07.991269  Validation: avg loss: 2.5452, avg acc: 56.1905%
2023-06-27 18:22:35.321455  Train: epoch: 21 batch: 0/4, loss: 0.003803
2023-06-27 18:24:01.698525  Validation: avg loss: 2.7052, avg acc: 56.1905%
2023-06-27 18:24:28.910197  Train: epoch: 22 batch: 0/4, loss: 0.003436
2023-06-27 18:25:54.958886  Validation: avg loss: 2.7932, avg acc: 56.1905%
2023-06-27 18:26:22.136922  Train: epoch: 23 batch: 0/4, loss: 0.002839
2023-06-27 18:27:48.298556  Validation: avg loss: 2.8724, avg acc: 56.1905%
2023-06-27 18:28:15.398475  Train: epoch: 24 batch: 0/4, loss: 0.002590
2023-06-27 18:29:41.649647  Validation: avg loss: 2.9176, avg acc: 55.2381%
2023-06-27 18:30:08.841860  Train: epoch: 25 batch: 0/4, loss: 0.002629
2023-06-27 18:31:34.982084  Validation: avg loss: 2.9597, avg acc: 55.2381%
2023-06-27 18:32:02.118659  Train: epoch: 26 batch: 0/4, loss: 0.002241
2023-06-27 18:33:28.202006  Validation: avg loss: 2.9938, avg acc: 54.2857%
2023-06-27 18:33:55.395506  Train: epoch: 27 batch: 0/4, loss: 0.002135
2023-06-27 18:35:21.534062  Validation: avg loss: 3.0033, avg acc: 54.2857%
2023-06-27 18:35:48.750010  Train: epoch: 28 batch: 0/4, loss: 0.002440
2023-06-27 18:37:15.048227  Validation: avg loss: 3.0195, avg acc: 54.2857%
2023-06-27 18:37:42.216133  Train: epoch: 29 batch: 0/4, loss: 0.002830
2023-06-27 18:39:08.451134  Validation: avg loss: 3.1058, avg acc: 55.2381%
2023-06-27 18:39:35.673894  Train: epoch: 30 batch: 0/4, loss: 0.001845
2023-06-27 18:41:01.823627  Validation: avg loss: 3.1357, avg acc: 55.2381%
2023-06-27 18:41:29.067116  Train: epoch: 31 batch: 0/4, loss: 0.001406
2023-06-27 18:42:55.182929  Validation: avg loss: 3.1482, avg acc: 55.2381%
2023-06-27 18:43:22.385567  Train: epoch: 32 batch: 0/4, loss: 0.001967
2023-06-27 18:44:48.547596  Validation: avg loss: 3.1335, avg acc: 54.2857%
2023-06-27 18:45:15.704825  Train: epoch: 33 batch: 0/4, loss: 0.001378
2023-06-27 18:46:41.760461  Validation: avg loss: 3.1454, avg acc: 54.2857%
2023-06-27 18:47:08.890800  Train: epoch: 34 batch: 0/4, loss: 0.001273
2023-06-27 18:48:35.005441  Validation: avg loss: 3.1303, avg acc: 54.2857%
2023-06-27 18:49:02.248172  Train: epoch: 35 batch: 0/4, loss: 0.001277
2023-06-27 18:50:28.420519  Validation: avg loss: 3.1401, avg acc: 54.2857%
2023-06-27 18:50:55.663238  Train: epoch: 36 batch: 0/4, loss: 0.002169
2023-06-27 18:52:21.812087  Validation: avg loss: 3.1882, avg acc: 54.2857%
2023-06-27 18:52:49.104837  Train: epoch: 37 batch: 0/4, loss: 0.001070
2023-06-27 18:54:15.332128  Validation: avg loss: 3.1880, avg acc: 54.2857%
2023-06-27 18:54:42.504689  Train: epoch: 38 batch: 0/4, loss: 0.001077
2023-06-27 18:56:08.545899  Validation: avg loss: 3.1843, avg acc: 54.2857%
2023-06-27 18:56:35.712404  Train: epoch: 39 batch: 0/4, loss: 0.001067
2023-06-27 18:58:01.987544  Validation: avg loss: 3.1656, avg acc: 54.2857%
2023-06-27 18:58:29.149148  Train: epoch: 40 batch: 0/4, loss: 0.001175
2023-06-27 18:59:55.206062  Validation: avg loss: 3.1442, avg acc: 54.2857%
2023-06-27 19:00:22.433386  Train: epoch: 41 batch: 0/4, loss: 0.001228
2023-06-27 19:01:48.560550  Validation: avg loss: 3.1588, avg acc: 54.2857%
2023-06-27 19:02:15.726659  Train: epoch: 42 batch: 0/4, loss: 0.001126
2023-06-27 19:03:41.921913  Validation: avg loss: 3.1466, avg acc: 54.2857%
2023-06-27 19:04:09.047518  Train: epoch: 43 batch: 0/4, loss: 0.000873
2023-06-27 19:05:35.307454  Validation: avg loss: 3.1636, avg acc: 55.2381%
2023-06-27 19:06:02.482694  Train: epoch: 44 batch: 0/4, loss: 0.000813
2023-06-27 19:07:28.550549  Validation: avg loss: 3.1797, avg acc: 55.2381%
2023-06-27 19:07:55.712128  Train: epoch: 45 batch: 0/4, loss: 0.000993
2023-06-27 19:09:21.900997  Validation: avg loss: 3.2025, avg acc: 55.2381%
2023-06-27 19:09:49.051093  Train: epoch: 46 batch: 0/4, loss: 0.000823
2023-06-27 19:11:14.980996  Validation: avg loss: 3.2075, avg acc: 54.2857%
2023-06-27 19:11:42.259114  Train: epoch: 47 batch: 0/4, loss: 0.001268
2023-06-27 19:13:08.400821  Validation: avg loss: 3.1878, avg acc: 54.2857%
2023-06-27 19:13:35.530120  Train: epoch: 48 batch: 0/4, loss: 0.000953
2023-06-27 19:15:01.682799  Validation: avg loss: 3.1395, avg acc: 54.2857%
2023-06-27 19:15:28.805845  Train: epoch: 49 batch: 0/4, loss: 0.001128
2023-06-27 19:16:54.950132  Validation: avg loss: 3.1137, avg acc: 53.3333%
2023-06-27 19:17:22.127317  Train: epoch: 50 batch: 0/4, loss: 0.000773
2023-06-27 19:18:48.165152  Validation: avg loss: 3.1197, avg acc: 54.2857%