230627050801.log

2023-06-27 05:08:01.906096  cuda
2023-06-27 05:08:29.006994  Train: epoch: 1 batch: 0/4, loss: 0.693039
2023-06-27 05:09:55.011709  Validation: avg loss: 0.6861, avg acc: 58.0952%
2023-06-27 05:10:22.097857  Train: epoch: 2 batch: 0/4, loss: 0.693692
2023-06-27 05:11:47.950750  Validation: avg loss: 0.6802, avg acc: 58.0952%
2023-06-27 05:12:15.022415  Train: epoch: 3 batch: 0/4, loss: 0.701001
2023-06-27 05:13:41.055093  Validation: avg loss: 0.6800, avg acc: 58.0952%
2023-06-27 05:14:08.167386  Train: epoch: 4 batch: 0/4, loss: 0.679764
2023-06-27 05:15:34.058693  Validation: avg loss: 0.6810, avg acc: 58.0952%
2023-06-27 05:16:01.113552  Train: epoch: 5 batch: 0/4, loss: 0.656656
2023-06-27 05:17:26.959724  Validation: avg loss: 0.6804, avg acc: 58.0952%
2023-06-27 05:17:54.071421  Train: epoch: 6 batch: 0/4, loss: 0.636702
2023-06-27 05:19:19.976915  Validation: avg loss: 0.6805, avg acc: 58.0952%
2023-06-27 05:19:47.071462  Train: epoch: 7 batch: 0/4, loss: 0.625265
2023-06-27 05:21:13.126057  Validation: avg loss: 0.6836, avg acc: 58.0952%
2023-06-27 05:21:40.363238  Train: epoch: 8 batch: 0/4, loss: 0.594766
2023-06-27 05:23:06.353115  Validation: avg loss: 0.6896, avg acc: 58.0952%
2023-06-27 05:23:33.419495  Train: epoch: 9 batch: 0/4, loss: 0.559804
2023-06-27 05:24:59.421154  Validation: avg loss: 0.6892, avg acc: 58.0952%
2023-06-27 05:25:26.568955  Train: epoch: 10 batch: 0/4, loss: 0.499262
2023-06-27 05:26:52.684134  Validation: avg loss: 0.6821, avg acc: 57.1429%
2023-06-27 05:27:19.897982  Train: epoch: 11 batch: 0/4, loss: 0.392444
2023-06-27 05:28:45.901890  Validation: avg loss: 0.6836, avg acc: 57.1429%
2023-06-27 05:29:13.053957  Train: epoch: 12 batch: 0/4, loss: 0.360079
2023-06-27 05:30:38.909367  Validation: avg loss: 0.6763, avg acc: 61.9048%
2023-06-27 05:31:06.009707  Train: epoch: 13 batch: 0/4, loss: 0.225006
2023-06-27 05:32:32.098485  Validation: avg loss: 0.6777, avg acc: 59.0476%
2023-06-27 05:32:59.167324  Train: epoch: 14 batch: 0/4, loss: 0.214933
2023-06-27 05:34:25.176655  Validation: avg loss: 0.6968, avg acc: 60.0000%
2023-06-27 05:34:52.272338  Train: epoch: 15 batch: 0/4, loss: 0.138009
2023-06-27 05:36:18.184523  Validation: avg loss: 0.7467, avg acc: 59.0476%
2023-06-27 05:36:45.357995  Train: epoch: 16 batch: 0/4, loss: 0.073094
2023-06-27 05:38:11.298840  Validation: avg loss: 0.8298, avg acc: 60.0000%
2023-06-27 05:38:38.431023  Train: epoch: 17 batch: 0/4, loss: 0.052195
2023-06-27 05:40:04.393726  Validation: avg loss: 0.9457, avg acc: 55.2381%
2023-06-27 05:40:31.463100  Train: epoch: 18 batch: 0/4, loss: 0.050716
2023-06-27 05:41:57.367091  Validation: avg loss: 1.0823, avg acc: 57.1429%
2023-06-27 05:42:24.377074  Train: epoch: 19 batch: 0/4, loss: 0.019935
2023-06-27 05:43:50.315746  Validation: avg loss: 1.0924, avg acc: 60.0000%
2023-06-27 05:44:17.431285  Train: epoch: 20 batch: 0/4, loss: 0.016623
2023-06-27 05:45:43.284115  Validation: avg loss: 1.1190, avg acc: 60.9524%
2023-06-27 05:46:10.443650  Train: epoch: 21 batch: 0/4, loss: 0.024965
2023-06-27 05:47:36.324876  Validation: avg loss: 1.1387, avg acc: 61.9048%
2023-06-27 05:48:03.480447  Train: epoch: 22 batch: 0/4, loss: 0.040892
2023-06-27 05:49:29.465285  Validation: avg loss: 1.1362, avg acc: 59.0476%
2023-06-27 05:49:56.504459  Train: epoch: 23 batch: 0/4, loss: 0.010004
2023-06-27 05:51:22.549281  Validation: avg loss: 1.1194, avg acc: 64.7619%
2023-06-27 05:51:49.816463  Train: epoch: 24 batch: 0/4, loss: 0.008234
2023-06-27 05:53:15.783922  Validation: avg loss: 1.0948, avg acc: 65.7143%
2023-06-27 05:53:42.966807  Train: epoch: 25 batch: 0/4, loss: 0.005515
2023-06-27 05:55:08.983820  Validation: avg loss: 1.1091, avg acc: 66.6667%
2023-06-27 05:55:36.135844  Train: epoch: 26 batch: 0/4, loss: 0.004987
2023-06-27 05:57:02.166344  Validation: avg loss: 1.1477, avg acc: 64.7619%
2023-06-27 05:57:29.336153  Train: epoch: 27 batch: 0/4, loss: 0.007826
2023-06-27 05:58:55.653518  Validation: avg loss: 1.2770, avg acc: 61.9048%
2023-06-27 05:59:22.828091  Train: epoch: 28 batch: 0/4, loss: 0.009648
2023-06-27 06:00:49.021070  Validation: avg loss: 1.3455, avg acc: 64.7619%
2023-06-27 06:01:16.116234  Train: epoch: 29 batch: 0/4, loss: 0.009921
2023-06-27 06:02:42.261100  Validation: avg loss: 1.3689, avg acc: 62.8571%
2023-06-27 06:03:09.398896  Train: epoch: 30 batch: 0/4, loss: 0.007052
2023-06-27 06:04:35.818040  Validation: avg loss: 1.3886, avg acc: 62.8571%
2023-06-27 06:05:02.883014  Train: epoch: 31 batch: 0/4, loss: 0.006509
2023-06-27 06:06:28.992925  Validation: avg loss: 1.4195, avg acc: 64.7619%
2023-06-27 06:06:56.131055  Train: epoch: 32 batch: 0/4, loss: 0.011500
2023-06-27 06:08:22.178216  Validation: avg loss: 1.4200, avg acc: 62.8571%
2023-06-27 06:08:49.198547  Train: epoch: 33 batch: 0/4, loss: 0.003104
2023-06-27 06:10:15.366555  Validation: avg loss: 1.3856, avg acc: 62.8571%
2023-06-27 06:10:42.552945  Train: epoch: 34 batch: 0/4, loss: 0.001915
2023-06-27 06:12:08.845757  Validation: avg loss: 1.3297, avg acc: 62.8571%
2023-06-27 06:12:35.873182  Train: epoch: 35 batch: 0/4, loss: 0.002227
2023-06-27 06:14:02.005312  Validation: avg loss: 1.3102, avg acc: 64.7619%
2023-06-27 06:14:29.127867  Train: epoch: 36 batch: 0/4, loss: 0.002843
2023-06-27 06:15:55.333753  Validation: avg loss: 1.3273, avg acc: 64.7619%
2023-06-27 06:16:22.450322  Train: epoch: 37 batch: 0/4, loss: 0.002032
2023-06-27 06:17:48.542238  Validation: avg loss: 1.3536, avg acc: 63.8095%
2023-06-27 06:18:15.623477  Train: epoch: 38 batch: 0/4, loss: 0.001337
2023-06-27 06:19:41.761493  Validation: avg loss: 1.3963, avg acc: 65.7143%
2023-06-27 06:20:08.877462  Train: epoch: 39 batch: 0/4, loss: 0.003927
2023-06-27 06:21:35.186054  Validation: avg loss: 1.4202, avg acc: 62.8571%
2023-06-27 06:22:02.320405  Train: epoch: 40 batch: 0/4, loss: 0.002169
2023-06-27 06:23:28.474759  Validation: avg loss: 1.4379, avg acc: 61.9048%
2023-06-27 06:23:55.622964  Train: epoch: 41 batch: 0/4, loss: 0.001424
2023-06-27 06:25:21.900060  Validation: avg loss: 1.4381, avg acc: 61.9048%
2023-06-27 06:25:49.040416  Train: epoch: 42 batch: 0/4, loss: 0.001534
2023-06-27 06:27:15.262539  Validation: avg loss: 1.4207, avg acc: 63.8095%
2023-06-27 06:27:42.445391  Train: epoch: 43 batch: 0/4, loss: 0.001773
2023-06-27 06:29:08.521537  Validation: avg loss: 1.4021, avg acc: 63.8095%
2023-06-27 06:29:35.748532  Train: epoch: 44 batch: 0/4, loss: 0.001125
2023-06-27 06:31:02.010392  Validation: avg loss: 1.3842, avg acc: 65.7143%
2023-06-27 06:31:29.129492  Train: epoch: 45 batch: 0/4, loss: 0.001284
2023-06-27 06:32:55.382526  Validation: avg loss: 1.3831, avg acc: 65.7143%
2023-06-27 06:33:22.652768  Train: epoch: 46 batch: 0/4, loss: 0.000758
2023-06-27 06:34:49.007924  Validation: avg loss: 1.3807, avg acc: 64.7619%
2023-06-27 06:35:16.096748  Train: epoch: 47 batch: 0/4, loss: 0.001051
2023-06-27 06:36:42.444749  Validation: avg loss: 1.3872, avg acc: 64.7619%
2023-06-27 06:37:09.614955  Train: epoch: 48 batch: 0/4, loss: 0.001120
2023-06-27 06:38:35.936221  Validation: avg loss: 1.3958, avg acc: 64.7619%
2023-06-27 06:39:03.112642  Train: epoch: 49 batch: 0/4, loss: 0.001181
2023-06-27 06:40:29.228056  Validation: avg loss: 1.3869, avg acc: 63.8095%
2023-06-27 06:40:56.347340  Train: epoch: 50 batch: 0/4, loss: 0.001134
2023-06-27 06:42:22.630841  Validation: avg loss: 1.4077, avg acc: 62.8571%