230628003749.log

2023-06-28 00:37:49.978036  cuda
2023-06-28 00:38:04.069070  Train: epoch: 1 batch: 0/4, loss: 0.693067
2023-06-28 00:38:48.656869  Validation: avg loss: 0.6878, avg acc: 58.0952%
2023-06-28 00:39:02.850143  Train: epoch: 2 batch: 0/4, loss: 0.682373
2023-06-28 00:39:47.570461  Validation: avg loss: 0.6836, avg acc: 58.0952%
2023-06-28 00:40:01.779678  Train: epoch: 3 batch: 0/4, loss: 0.669462
2023-06-28 00:40:46.890763  Validation: avg loss: 0.6835, avg acc: 58.0952%
2023-06-28 00:41:01.120619  Train: epoch: 4 batch: 0/4, loss: 0.668123
2023-06-28 00:41:46.105633  Validation: avg loss: 0.6800, avg acc: 58.0952%
2023-06-28 00:42:00.231917  Train: epoch: 5 batch: 0/4, loss: 0.658780
2023-06-28 00:42:44.757819  Validation: avg loss: 0.6816, avg acc: 58.0952%
2023-06-28 00:42:59.100509  Train: epoch: 6 batch: 0/4, loss: 0.604294
2023-06-28 00:43:43.979090  Validation: avg loss: 0.6818, avg acc: 58.0952%
2023-06-28 00:43:58.482084  Train: epoch: 7 batch: 0/4, loss: 0.574335
2023-06-28 00:44:43.802849  Validation: avg loss: 0.6815, avg acc: 58.0952%
2023-06-28 00:44:58.409313  Train: epoch: 8 batch: 0/4, loss: 0.520112
2023-06-28 00:45:43.843513  Validation: avg loss: 0.6837, avg acc: 58.0952%
2023-06-28 00:45:58.441874  Train: epoch: 9 batch: 0/4, loss: 0.445718
2023-06-28 00:46:43.734008  Validation: avg loss: 0.6768, avg acc: 58.0952%
2023-06-28 00:46:58.006825  Train: epoch: 10 batch: 0/4, loss: 0.363334
2023-06-28 00:47:43.171838  Validation: avg loss: 0.6751, avg acc: 59.0476%
2023-06-28 00:47:57.698577  Train: epoch: 11 batch: 0/4, loss: 0.271284
2023-06-28 00:48:42.711409  Validation: avg loss: 0.6619, avg acc: 60.0000%
2023-06-28 00:48:56.879045  Train: epoch: 12 batch: 0/4, loss: 0.178573
2023-06-28 00:49:42.024172  Validation: avg loss: 0.6768, avg acc: 55.2381%
2023-06-28 00:49:56.148081  Train: epoch: 13 batch: 0/4, loss: 0.140371
2023-06-28 00:50:41.341682  Validation: avg loss: 0.7109, avg acc: 54.2857%
2023-06-28 00:50:55.610759  Train: epoch: 14 batch: 0/4, loss: 0.076913
2023-06-28 00:51:40.357213  Validation: avg loss: 0.8131, avg acc: 52.3810%
2023-06-28 00:51:54.583653  Train: epoch: 15 batch: 0/4, loss: 0.067480
2023-06-28 00:52:40.140130  Validation: avg loss: 0.9456, avg acc: 51.4286%
2023-06-28 00:52:54.397041  Train: epoch: 16 batch: 0/4, loss: 0.036423
2023-06-28 00:53:39.758018  Validation: avg loss: 1.0530, avg acc: 54.2857%
2023-06-28 00:53:54.317059  Train: epoch: 17 batch: 0/4, loss: 0.028782
2023-06-28 00:54:39.533123  Validation: avg loss: 1.1482, avg acc: 56.1905%
2023-06-28 00:54:53.869185  Train: epoch: 18 batch: 0/4, loss: 0.033167
2023-06-28 00:55:39.080207  Validation: avg loss: 1.1797, avg acc: 56.1905%
2023-06-28 00:55:53.126182  Train: epoch: 19 batch: 0/4, loss: 0.016202
2023-06-28 00:56:37.472863  Validation: avg loss: 1.2256, avg acc: 56.1905%
2023-06-28 00:56:51.590106  Train: epoch: 20 batch: 0/4, loss: 0.009053
2023-06-28 00:57:36.235819  Validation: avg loss: 1.2484, avg acc: 59.0476%
2023-06-28 00:57:50.430380  Train: epoch: 21 batch: 0/4, loss: 0.010292
2023-06-28 00:58:35.398258  Validation: avg loss: 1.3279, avg acc: 60.0000%
2023-06-28 00:58:49.667245  Train: epoch: 22 batch: 0/4, loss: 0.007880
2023-06-28 00:59:34.743015  Validation: avg loss: 1.3961, avg acc: 60.0000%
2023-06-28 00:59:48.869422  Train: epoch: 23 batch: 0/4, loss: 0.009219
2023-06-28 01:00:33.718706  Validation: avg loss: 1.4046, avg acc: 56.1905%
2023-06-28 01:00:47.940706  Train: epoch: 24 batch: 0/4, loss: 0.004677
2023-06-28 01:01:33.176631  Validation: avg loss: 1.3907, avg acc: 55.2381%
2023-06-28 01:01:47.409909  Train: epoch: 25 batch: 0/4, loss: 0.008842
2023-06-28 01:02:32.479701  Validation: avg loss: 1.4078, avg acc: 58.0952%
2023-06-28 01:02:46.858229  Train: epoch: 26 batch: 0/4, loss: 0.013503
2023-06-28 01:03:32.435670  Validation: avg loss: 1.4572, avg acc: 59.0476%
2023-06-28 01:03:47.368655  Train: epoch: 27 batch: 0/4, loss: 0.006626
2023-06-28 01:04:33.722813  Validation: avg loss: 1.4598, avg acc: 59.0476%
2023-06-28 01:04:48.451678  Train: epoch: 28 batch: 0/4, loss: 0.005886
2023-06-28 01:05:34.180051  Validation: avg loss: 1.4664, avg acc: 58.0952%
2023-06-28 01:05:48.434196  Train: epoch: 29 batch: 0/4, loss: 0.004940
2023-06-28 01:06:34.316611  Validation: avg loss: 1.4973, avg acc: 56.1905%
2023-06-28 01:06:48.578069  Train: epoch: 30 batch: 0/4, loss: 0.002945
2023-06-28 01:07:33.676803  Validation: avg loss: 1.5715, avg acc: 57.1429%
2023-06-28 01:07:48.010228  Train: epoch: 31 batch: 0/4, loss: 0.004101
2023-06-28 01:08:34.145123  Validation: avg loss: 1.5615, avg acc: 56.1905%
2023-06-28 01:08:48.956649  Train: epoch: 32 batch: 0/4, loss: 0.004165
2023-06-28 01:09:33.975731  Validation: avg loss: 1.5249, avg acc: 57.1429%
2023-06-28 01:09:48.523571  Train: epoch: 33 batch: 0/4, loss: 0.002205
2023-06-28 01:10:34.181073  Validation: avg loss: 1.5044, avg acc: 57.1429%
2023-06-28 01:10:48.667479  Train: epoch: 34 batch: 0/4, loss: 0.003043
2023-06-28 01:11:34.270933  Validation: avg loss: 1.5105, avg acc: 60.0000%
2023-06-28 01:11:48.475934  Train: epoch: 35 batch: 0/4, loss: 0.005146
2023-06-28 01:12:33.493880  Validation: avg loss: 1.4945, avg acc: 59.0476%
2023-06-28 01:12:47.731703  Train: epoch: 36 batch: 0/4, loss: 0.001391
2023-06-28 01:13:34.069553  Validation: avg loss: 1.4949, avg acc: 61.9048%
2023-06-28 01:13:51.020585  Train: epoch: 37 batch: 0/4, loss: 0.002418
2023-06-28 01:14:36.726945  Validation: avg loss: 1.4473, avg acc: 61.9048%
2023-06-28 01:14:50.933113  Train: epoch: 38 batch: 0/4, loss: 0.001485
2023-06-28 01:15:35.503621  Validation: avg loss: 1.4357, avg acc: 62.8571%
2023-06-28 01:15:49.666920  Train: epoch: 39 batch: 0/4, loss: 0.001815
2023-06-28 01:16:34.379353  Validation: avg loss: 1.4482, avg acc: 61.9048%
2023-06-28 01:16:48.543897  Train: epoch: 40 batch: 0/4, loss: 0.004567
2023-06-28 01:17:33.737475  Validation: avg loss: 1.4762, avg acc: 60.9524%
2023-06-28 01:17:47.935196  Train: epoch: 41 batch: 0/4, loss: 0.000961
2023-06-28 01:18:32.496347  Validation: avg loss: 1.4937, avg acc: 60.0000%
2023-06-28 01:18:46.739428  Train: epoch: 42 batch: 0/4, loss: 0.001626
2023-06-28 01:19:31.817522  Validation: avg loss: 1.5100, avg acc: 60.0000%
2023-06-28 01:19:46.275329  Train: epoch: 43 batch: 0/4, loss: 0.000995
2023-06-28 01:20:31.148739  Validation: avg loss: 1.5247, avg acc: 59.0476%
2023-06-28 01:20:45.390128  Train: epoch: 44 batch: 0/4, loss: 0.000796
2023-06-28 01:21:30.408919  Validation: avg loss: 1.5365, avg acc: 60.9524%
2023-06-28 01:21:44.821678  Train: epoch: 45 batch: 0/4, loss: 0.001251
2023-06-28 01:22:29.741533  Validation: avg loss: 1.5421, avg acc: 60.9524%
2023-06-28 01:22:44.346410  Train: epoch: 46 batch: 0/4, loss: 0.000667
2023-06-28 01:23:30.143946  Validation: avg loss: 1.5387, avg acc: 60.9524%
2023-06-28 01:23:44.816721  Train: epoch: 47 batch: 0/4, loss: 0.000684
2023-06-28 01:24:30.374873  Validation: avg loss: 1.5321, avg acc: 61.9048%
2023-06-28 01:24:44.932431  Train: epoch: 48 batch: 0/4, loss: 0.000721
2023-06-28 01:25:30.583908  Validation: avg loss: 1.5259, avg acc: 60.0000%
2023-06-28 01:25:44.973742  Train: epoch: 49 batch: 0/4, loss: 0.001524
2023-06-28 01:26:30.076239  Validation: avg loss: 1.5328, avg acc: 60.9524%
2023-06-28 01:26:44.301327  Train: epoch: 50 batch: 0/4, loss: 0.000452
2023-06-28 01:27:29.465129  Validation: avg loss: 1.5341, avg acc: 60.0000%