2023-06-27 09:51:17.943816  cuda
2023-06-27 09:51:45.031869  Train: epoch: 1 batch: 0/4, loss: 0.692920
2023-06-27 09:53:11.007603  Validation: avg loss: 0.6809, avg acc: 60.9524%
2023-06-27 09:53:38.117517  Train: epoch: 2 batch: 0/4, loss: 0.680874
2023-06-27 09:55:04.460955  Validation: avg loss: 0.6767, avg acc: 60.9524%
2023-06-27 09:55:31.537141  Train: epoch: 3 batch: 0/4, loss: 0.673850
2023-06-27 09:56:57.482964  Validation: avg loss: 0.6809, avg acc: 60.9524%
2023-06-27 09:57:24.648757  Train: epoch: 4 batch: 0/4, loss: 0.670431
2023-06-27 09:58:50.718083  Validation: avg loss: 0.6747, avg acc: 60.9524%
2023-06-27 09:59:17.881676  Train: epoch: 5 batch: 0/4, loss: 0.664857
2023-06-27 10:00:44.101904  Validation: avg loss: 0.6699, avg acc: 60.9524%
2023-06-27 10:01:11.356698  Train: epoch: 6 batch: 0/4, loss: 0.635556
2023-06-27 10:02:37.382650  Validation: avg loss: 0.6693, avg acc: 60.9524%
2023-06-27 10:03:04.537001  Train: epoch: 7 batch: 0/4, loss: 0.637340
2023-06-27 10:04:30.673889  Validation: avg loss: 0.6679, avg acc: 60.9524%
2023-06-27 10:04:57.842520  Train: epoch: 8 batch: 0/4, loss: 0.574225
2023-06-27 10:06:23.885257  Validation: avg loss: 0.6666, avg acc: 60.9524%
2023-06-27 10:06:51.015813  Train: epoch: 9 batch: 0/4, loss: 0.548067
2023-06-27 10:08:17.082568  Validation: avg loss: 0.6669, avg acc: 60.9524%
2023-06-27 10:08:44.232294  Train: epoch: 10 batch: 0/4, loss: 0.520810
2023-06-27 10:10:10.351286  Validation: avg loss: 0.6648, avg acc: 60.9524%
2023-06-27 10:10:37.589344  Train: epoch: 11 batch: 0/4, loss: 0.475918
2023-06-27 10:12:03.782103  Validation: avg loss: 0.6684, avg acc: 60.9524%
2023-06-27 10:12:31.046139  Train: epoch: 12 batch: 0/4, loss: 0.353386
2023-06-27 10:13:56.973990  Validation: avg loss: 0.6742, avg acc: 60.9524%
2023-06-27 10:14:24.145859  Train: epoch: 13 batch: 0/4, loss: 0.333370
2023-06-27 10:15:50.129105  Validation: avg loss: 0.6690, avg acc: 59.0476%
2023-06-27 10:16:17.317532  Train: epoch: 14 batch: 0/4, loss: 0.180197
2023-06-27 10:17:43.436121  Validation: avg loss: 0.6737, avg acc: 62.8571%
2023-06-27 10:18:10.619460  Train: epoch: 15 batch: 0/4, loss: 0.124915
2023-06-27 10:19:36.764763  Validation: avg loss: 0.7272, avg acc: 65.7143%
2023-06-27 10:20:03.985896  Train: epoch: 16 batch: 0/4, loss: 0.124326
2023-06-27 10:21:29.969811  Validation: avg loss: 0.8012, avg acc: 66.6667%
2023-06-27 10:21:57.147394  Train: epoch: 17 batch: 0/4, loss: 0.073580
2023-06-27 10:23:23.289812  Validation: avg loss: 0.7603, avg acc: 69.5238%
2023-06-27 10:23:50.404465  Train: epoch: 18 batch: 0/4, loss: 0.041348
2023-06-27 10:25:16.326867  Validation: avg loss: 0.7959, avg acc: 67.6190%
2023-06-27 10:25:43.477358  Train: epoch: 19 batch: 0/4, loss: 0.056011
2023-06-27 10:27:09.553970  Validation: avg loss: 0.8282, avg acc: 67.6190%
2023-06-27 10:27:36.633129  Train: epoch: 20 batch: 0/4, loss: 0.017706
2023-06-27 10:29:02.710204  Validation: avg loss: 0.8702, avg acc: 68.5714%
2023-06-27 10:29:29.941797  Train: epoch: 21 batch: 0/4, loss: 0.012588
2023-06-27 10:30:56.008673  Validation: avg loss: 0.8757, avg acc: 66.6667%
2023-06-27 10:31:23.177988  Train: epoch: 22 batch: 0/4, loss: 0.021301
2023-06-27 10:32:49.301422  Validation: avg loss: 0.9061, avg acc: 70.4762%
2023-06-27 10:33:16.475607  Train: epoch: 23 batch: 0/4, loss: 0.024899
2023-06-27 10:34:42.467533  Validation: avg loss: 1.0369, avg acc: 69.5238%
2023-06-27 10:35:09.593099  Train: epoch: 24 batch: 0/4, loss: 0.011102
2023-06-27 10:36:35.694494  Validation: avg loss: 1.0316, avg acc: 71.4286%
2023-06-27 10:37:02.860291  Train: epoch: 25 batch: 0/4, loss: 0.012121
2023-06-27 10:38:28.876663  Validation: avg loss: 1.1020, avg acc: 68.5714%
2023-06-27 10:38:56.042741  Train: epoch: 26 batch: 0/4, loss: 0.015106
2023-06-27 10:40:22.153557  Validation: avg loss: 1.1536, avg acc: 68.5714%
2023-06-27 10:40:49.275220  Train: epoch: 27 batch: 0/4, loss: 0.014671
2023-06-27 10:42:15.299410  Validation: avg loss: 1.1732, avg acc: 69.5238%
2023-06-27 10:42:42.427554  Train: epoch: 28 batch: 0/4, loss: 0.010009
2023-06-27 10:44:08.679899  Validation: avg loss: 1.1478, avg acc: 71.4286%
2023-06-27 10:44:35.831982  Train: epoch: 29 batch: 0/4, loss: 0.005856
2023-06-27 10:46:01.805116  Validation: avg loss: 1.1247, avg acc: 72.3810%
2023-06-27 10:46:28.951655  Train: epoch: 30 batch: 0/4, loss: 0.002406
2023-06-27 10:47:55.057242  Validation: avg loss: 1.1468, avg acc: 71.4286%
2023-06-27 10:48:22.278871  Train: epoch: 31 batch: 0/4, loss: 0.006726
2023-06-27 10:49:48.223422  Validation: avg loss: 1.1544, avg acc: 71.4286%
2023-06-27 10:50:15.293887  Train: epoch: 32 batch: 0/4, loss: 0.003755
2023-06-27 10:51:41.375743  Validation: avg loss: 1.1695, avg acc: 72.3810%
2023-06-27 10:52:08.536748  Train: epoch: 33 batch: 0/4, loss: 0.002955
2023-06-27 10:53:34.625209  Validation: avg loss: 1.1835, avg acc: 68.5714%
2023-06-27 10:54:01.802283  Train: epoch: 34 batch: 0/4, loss: 0.002133
2023-06-27 10:55:27.794304  Validation: avg loss: 1.1729, avg acc: 68.5714%
2023-06-27 10:55:54.877162  Train: epoch: 35 batch: 0/4, loss: 0.001604
2023-06-27 10:57:21.091049  Validation: avg loss: 1.1573, avg acc: 69.5238%
2023-06-27 10:57:48.172991  Train: epoch: 36 batch: 0/4, loss: 0.003845
2023-06-27 10:59:14.155246  Validation: avg loss: 1.1454, avg acc: 70.4762%
2023-06-27 10:59:41.339050  Train: epoch: 37 batch: 0/4, loss: 0.001906
2023-06-27 11:01:07.727273  Validation: avg loss: 1.1569, avg acc: 70.4762%
2023-06-27 11:01:34.964570  Train: epoch: 38 batch: 0/4, loss: 0.003651
2023-06-27 11:03:01.346197  Validation: avg loss: 1.1541, avg acc: 71.4286%
2023-06-27 11:03:28.568076  Train: epoch: 39 batch: 0/4, loss: 0.001157
2023-06-27 11:04:54.988566  Validation: avg loss: 1.1594, avg acc: 71.4286%
2023-06-27 11:05:22.217518  Train: epoch: 40 batch: 0/4, loss: 0.001297
2023-06-27 11:06:48.897697  Validation: avg loss: 1.1645, avg acc: 72.3810%
2023-06-27 11:07:16.114061  Train: epoch: 41 batch: 0/4, loss: 0.001007
2023-06-27 11:08:42.636769  Validation: avg loss: 1.1754, avg acc: 71.4286%
2023-06-27 11:09:09.882792  Train: epoch: 42 batch: 0/4, loss: 0.001658
2023-06-27 11:10:36.040717  Validation: avg loss: 1.1740, avg acc: 71.4286%
2023-06-27 11:11:03.193114  Train: epoch: 43 batch: 0/4, loss: 0.001940
2023-06-27 11:12:29.145485  Validation: avg loss: 1.1774, avg acc: 71.4286%
2023-06-27 11:12:56.335781  Train: epoch: 44 batch: 0/4, loss: 0.005166
2023-06-27 11:14:22.547965  Validation: avg loss: 1.1716, avg acc: 71.4286%
2023-06-27 11:14:49.694593  Train: epoch: 45 batch: 0/4, loss: 0.001622
2023-06-27 11:16:15.754771  Validation: avg loss: 1.1788, avg acc: 71.4286%
2023-06-27 11:16:42.990081  Train: epoch: 46 batch: 0/4, loss: 0.001020
2023-06-27 11:18:09.150671  Validation: avg loss: 1.1808, avg acc: 71.4286%
2023-06-27 11:18:36.326383  Train: epoch: 47 batch: 0/4, loss: 0.001181
2023-06-27 11:20:02.368115  Validation: avg loss: 1.1950, avg acc: 71.4286%
2023-06-27 11:20:29.616366  Train: epoch: 48 batch: 0/4, loss: 0.000773
2023-06-27 11:21:55.670673  Validation: avg loss: 1.2090, avg acc: 71.4286%
2023-06-27 11:22:22.762928  Train: epoch: 49 batch: 0/4, loss: 0.000904
2023-06-27 11:23:49.044015  Validation: avg loss: 1.2248, avg acc: 69.5238%
2023-06-27 11:24:16.507658  Train: epoch: 50 batch: 0/4, loss: 0.000842
2023-06-27 11:25:43.273831  Validation: avg loss: 1.2280, avg acc: 70.4762%