| 2025-03-14 16:01:30,357 - train - INFO - 开始训练 densenet | |
| 2025-03-14 16:01:30,357 - train - INFO - 总轮数: 50, 学习率: 0.1, 设备: cuda:3 | |
| 2025-03-14 16:01:35,120 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.303 | Acc: 10.94% | |
| 2025-03-14 16:01:41,623 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.009 | Acc: 25.39% | |
| 2025-03-14 16:01:48,359 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 1.872 | Acc: 29.96% | |
| 2025-03-14 16:01:54,814 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 1.780 | Acc: 33.57% | |
| 2025-03-14 16:02:02,833 - train - INFO - Epoch: 1 | Test Loss: 1.342 | Test Acc: 52.66% | |
| 2025-03-14 16:02:03,082 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 1.477 | Acc: 41.41% | |
| 2025-03-14 16:02:09,563 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.335 | Acc: 51.83% | |
| 2025-03-14 16:02:16,183 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.242 | Acc: 55.57% | |
| 2025-03-14 16:02:22,685 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.173 | Acc: 58.28% | |
| 2025-03-14 16:02:30,658 - train - INFO - Epoch: 2 | Test Loss: 1.093 | Test Acc: 61.78% | |
| 2025-03-14 16:02:41,822 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 0.999 | Acc: 63.28% | |
| 2025-03-14 16:02:48,275 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 0.908 | Acc: 68.81% | |
| 2025-03-14 16:02:55,542 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 0.893 | Acc: 69.34% | |
| 2025-03-14 16:03:02,152 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 0.874 | Acc: 69.98% | |
| 2025-03-14 16:03:09,933 - train - INFO - Epoch: 3 | Test Loss: 0.895 | Test Acc: 69.23% | |
| 2025-03-14 16:03:10,171 - train - INFO - Epoch: 4 | Batch: 0 | Loss: 0.741 | Acc: 75.00% | |
| 2025-03-14 16:03:16,709 - train - INFO - Epoch: 4 | Batch: 100 | Loss: 0.748 | Acc: 74.24% | |
| 2025-03-14 16:03:23,165 - train - INFO - Epoch: 4 | Batch: 200 | Loss: 0.743 | Acc: 74.83% | |
| 2025-03-14 16:03:29,519 - train - INFO - Epoch: 4 | Batch: 300 | Loss: 0.735 | Acc: 75.22% | |
| 2025-03-14 16:03:37,232 - train - INFO - Epoch: 4 | Test Loss: 0.914 | Test Acc: 69.83% | |
| 2025-03-14 16:03:48,484 - train - INFO - Epoch: 5 | Batch: 0 | Loss: 0.680 | Acc: 75.78% | |
| 2025-03-14 16:03:55,252 - train - INFO - Epoch: 5 | Batch: 100 | Loss: 0.674 | Acc: 77.53% | |
| 2025-03-14 16:04:01,807 - train - INFO - Epoch: 5 | Batch: 200 | Loss: 0.667 | Acc: 77.67% | |
| 2025-03-14 16:04:08,493 - train - INFO - Epoch: 5 | Batch: 300 | Loss: 0.661 | Acc: 77.80% | |
| 2025-03-14 16:04:16,124 - train - INFO - Epoch: 5 | Test Loss: 0.713 | Test Acc: 76.28% | |
| 2025-03-14 16:04:16,366 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 0.490 | Acc: 87.50% | |
| 2025-03-14 16:04:22,967 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 0.614 | Acc: 79.94% | |
| 2025-03-14 16:04:29,555 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 0.626 | Acc: 79.32% | |
| 2025-03-14 16:04:35,837 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 0.619 | Acc: 79.52% | |
| 2025-03-14 16:04:43,506 - train - INFO - Epoch: 6 | Test Loss: 0.767 | Test Acc: 74.45% | |
| 2025-03-14 16:04:55,346 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 0.728 | Acc: 75.00% | |
| 2025-03-14 16:05:02,115 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 0.594 | Acc: 80.22% | |
| 2025-03-14 16:05:08,580 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 0.593 | Acc: 80.24% | |
| 2025-03-14 16:05:15,893 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 0.597 | Acc: 80.01% | |
| 2025-03-14 16:05:24,379 - train - INFO - Epoch: 7 | Test Loss: 0.659 | Test Acc: 76.67% | |
| 2025-03-14 16:05:24,687 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 0.511 | Acc: 82.81% | |
| 2025-03-14 16:05:31,960 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 0.554 | Acc: 81.19% | |
| 2025-03-14 16:05:38,472 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 0.564 | Acc: 81.15% | |
| 2025-03-14 16:05:45,042 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 0.568 | Acc: 81.13% | |
| 2025-03-14 16:05:53,242 - train - INFO - Epoch: 8 | Test Loss: 0.714 | Test Acc: 76.71% | |
| 2025-03-14 16:06:05,059 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 0.489 | Acc: 85.16% | |
| 2025-03-14 16:06:11,780 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 0.565 | Acc: 81.15% | |
| 2025-03-14 16:06:18,537 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 0.564 | Acc: 81.30% | |
| 2025-03-14 16:06:25,070 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 0.566 | Acc: 81.23% | |
| 2025-03-14 16:06:32,812 - train - INFO - Epoch: 9 | Test Loss: 1.349 | Test Acc: 60.93% | |
| 2025-03-14 16:06:33,056 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 0.427 | Acc: 85.94% | |
| 2025-03-14 16:06:40,104 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 0.541 | Acc: 82.09% | |
| 2025-03-14 16:06:47,429 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 0.546 | Acc: 81.77% | |
| 2025-03-14 16:06:55,098 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 0.547 | Acc: 81.80% | |
| 2025-03-14 16:07:03,407 - train - INFO - Epoch: 10 | Test Loss: 0.619 | Test Acc: 80.03% | |
| 2025-03-14 16:07:15,781 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 0.509 | Acc: 85.94% | |
| 2025-03-14 16:07:22,836 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 0.546 | Acc: 82.31% | |
| 2025-03-14 16:07:29,380 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 0.547 | Acc: 82.02% | |
| 2025-03-14 16:07:36,091 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 0.545 | Acc: 82.09% | |
| 2025-03-14 16:07:44,313 - train - INFO - Epoch: 11 | Test Loss: 0.782 | Test Acc: 74.83% | |
| 2025-03-14 16:07:44,642 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 0.424 | Acc: 88.28% | |
| 2025-03-14 16:07:52,452 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 0.532 | Acc: 82.69% | |
| 2025-03-14 16:07:59,454 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 0.535 | Acc: 82.39% | |
| 2025-03-14 16:08:05,751 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 0.539 | Acc: 82.22% | |
| 2025-03-14 16:08:13,415 - train - INFO - Epoch: 12 | Test Loss: 0.667 | Test Acc: 77.20% | |
| 2025-03-14 16:08:24,850 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 0.513 | Acc: 81.25% | |
| 2025-03-14 16:08:31,529 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 0.525 | Acc: 82.91% | |
| 2025-03-14 16:08:37,988 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 0.524 | Acc: 82.91% | |
| 2025-03-14 16:08:44,426 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 0.531 | Acc: 82.63% | |
| 2025-03-14 16:08:52,236 - train - INFO - Epoch: 13 | Test Loss: 0.671 | Test Acc: 77.66% | |
| 2025-03-14 16:08:52,474 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 0.400 | Acc: 87.50% | |
| 2025-03-14 16:08:58,885 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 0.513 | Acc: 83.14% | |
| 2025-03-14 16:09:05,594 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 0.526 | Acc: 82.57% | |
| 2025-03-14 16:09:13,190 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 0.525 | Acc: 82.58% | |
| 2025-03-14 16:09:21,359 - train - INFO - Epoch: 14 | Test Loss: 0.644 | Test Acc: 78.23% | |
| 2025-03-14 16:09:32,590 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 0.637 | Acc: 78.91% | |
| 2025-03-14 16:09:39,160 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 0.521 | Acc: 82.97% | |
| 2025-03-14 16:09:45,611 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 0.523 | Acc: 82.81% | |
| 2025-03-14 16:09:52,133 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 0.522 | Acc: 82.83% | |
| 2025-03-14 16:09:59,547 - train - INFO - Epoch: 15 | Test Loss: 0.614 | Test Acc: 78.16% | |
| 2025-03-14 16:09:59,772 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 0.607 | Acc: 76.56% | |
| 2025-03-14 16:10:06,285 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 0.508 | Acc: 83.32% | |
| 2025-03-14 16:10:12,668 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 0.504 | Acc: 83.33% | |
| 2025-03-14 16:10:19,419 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 0.514 | Acc: 83.00% | |
| 2025-03-14 16:10:27,539 - train - INFO - Epoch: 16 | Test Loss: 0.622 | Test Acc: 79.45% | |
| 2025-03-14 16:10:38,671 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 0.503 | Acc: 86.72% | |
| 2025-03-14 16:10:45,253 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 0.503 | Acc: 83.30% | |
| 2025-03-14 16:10:51,781 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 0.507 | Acc: 83.28% | |
| 2025-03-14 16:10:58,057 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 0.504 | Acc: 83.31% | |
| 2025-03-14 16:11:05,776 - train - INFO - Epoch: 17 | Test Loss: 0.701 | Test Acc: 77.26% | |
| 2025-03-14 16:11:06,018 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 0.620 | Acc: 78.91% | |
| 2025-03-14 16:11:13,323 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 0.498 | Acc: 83.79% | |
| 2025-03-14 16:11:20,126 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 0.494 | Acc: 83.98% | |
| 2025-03-14 16:11:26,804 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 0.499 | Acc: 83.79% | |
| 2025-03-14 16:11:34,825 - train - INFO - Epoch: 18 | Test Loss: 0.751 | Test Acc: 76.20% | |
| 2025-03-14 16:11:46,371 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 0.408 | Acc: 86.72% | |
| 2025-03-14 16:11:53,283 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 0.485 | Acc: 84.00% | |
| 2025-03-14 16:12:00,455 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 0.493 | Acc: 83.82% | |
| 2025-03-14 16:12:06,896 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 0.499 | Acc: 83.56% | |
| 2025-03-14 16:12:15,134 - train - INFO - Epoch: 19 | Test Loss: 0.663 | Test Acc: 76.95% | |
| 2025-03-14 16:12:15,418 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 0.390 | Acc: 85.94% | |
| 2025-03-14 16:12:21,907 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 0.500 | Acc: 83.41% | |
| 2025-03-14 16:12:28,443 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 0.498 | Acc: 83.41% | |
| 2025-03-14 16:12:35,175 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 0.494 | Acc: 83.63% | |
| 2025-03-14 16:12:45,840 - train - INFO - Epoch: 20 | Test Loss: 0.561 | Test Acc: 81.65% | |
| 2025-03-14 16:12:57,454 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 0.349 | Acc: 89.84% | |
| 2025-03-14 16:13:04,132 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 0.477 | Acc: 83.99% | |
| 2025-03-14 16:13:10,608 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 0.477 | Acc: 84.11% | |
| 2025-03-14 16:13:17,405 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 0.481 | Acc: 84.17% | |
| 2025-03-14 16:13:25,297 - train - INFO - Epoch: 21 | Test Loss: 0.593 | Test Acc: 80.85% | |
| 2025-03-14 16:13:25,591 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 0.453 | Acc: 82.81% | |
| 2025-03-14 16:13:32,327 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 0.466 | Acc: 84.52% | |
| 2025-03-14 16:13:39,185 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 0.471 | Acc: 84.26% | |
| 2025-03-14 16:13:45,668 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 0.478 | Acc: 84.05% | |
| 2025-03-14 16:13:53,441 - train - INFO - Epoch: 22 | Test Loss: 0.665 | Test Acc: 78.56% | |
| 2025-03-14 16:14:05,354 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 0.474 | Acc: 84.38% | |
| 2025-03-14 16:14:11,690 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 0.474 | Acc: 84.71% | |
| 2025-03-14 16:14:18,410 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 0.482 | Acc: 84.29% | |
| 2025-03-14 16:14:24,963 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 0.478 | Acc: 84.44% | |
| 2025-03-14 16:14:32,640 - train - INFO - Epoch: 23 | Test Loss: 1.058 | Test Acc: 68.37% | |
| 2025-03-14 16:14:32,934 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 0.378 | Acc: 89.06% | |
| 2025-03-14 16:14:39,551 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 0.477 | Acc: 84.41% | |
| 2025-03-14 16:14:46,168 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 0.481 | Acc: 84.37% | |
| 2025-03-14 16:14:52,732 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 0.479 | Acc: 84.30% | |
| 2025-03-14 16:15:00,623 - train - INFO - Epoch: 24 | Test Loss: 0.636 | Test Acc: 80.17% | |
| 2025-03-14 16:15:11,674 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 0.529 | Acc: 82.03% | |
| 2025-03-14 16:15:18,136 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 0.454 | Acc: 85.12% | |
| 2025-03-14 16:15:24,586 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 0.464 | Acc: 84.64% | |
| 2025-03-14 16:15:31,108 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 0.466 | Acc: 84.54% | |
| 2025-03-14 16:15:39,073 - train - INFO - Epoch: 25 | Test Loss: 0.572 | Test Acc: 81.28% | |
| 2025-03-14 16:15:39,328 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 0.496 | Acc: 82.03% | |
| 2025-03-14 16:15:45,847 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 0.468 | Acc: 84.57% | |
| 2025-03-14 16:15:52,738 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 0.469 | Acc: 84.65% | |
| 2025-03-14 16:15:59,415 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 0.466 | Acc: 84.73% | |
| 2025-03-14 16:16:06,894 - train - INFO - Epoch: 26 | Test Loss: 0.816 | Test Acc: 74.91% | |
| 2025-03-14 16:16:18,304 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 0.400 | Acc: 85.94% | |
| 2025-03-14 16:16:24,917 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 0.469 | Acc: 84.55% | |
| 2025-03-14 16:16:31,318 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 0.464 | Acc: 84.77% | |
| 2025-03-14 16:16:37,744 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 0.462 | Acc: 84.86% | |
| 2025-03-14 16:16:45,639 - train - INFO - Epoch: 27 | Test Loss: 0.561 | Test Acc: 80.96% | |
| 2025-03-14 16:16:45,909 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 0.450 | Acc: 82.81% | |
| 2025-03-14 16:16:52,939 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 0.464 | Acc: 84.66% | |
| 2025-03-14 16:16:59,702 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 0.466 | Acc: 84.61% | |
| 2025-03-14 16:17:06,087 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 0.467 | Acc: 84.57% | |
| 2025-03-14 16:17:13,719 - train - INFO - Epoch: 28 | Test Loss: 0.692 | Test Acc: 78.32% | |
| 2025-03-14 16:17:25,054 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 0.428 | Acc: 83.59% | |
| 2025-03-14 16:17:31,720 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 0.457 | Acc: 84.75% | |
| 2025-03-14 16:17:38,193 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 0.463 | Acc: 84.71% | |
| 2025-03-14 16:17:44,756 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 0.465 | Acc: 84.69% | |
| 2025-03-14 16:17:52,619 - train - INFO - Epoch: 29 | Test Loss: 0.517 | Test Acc: 82.95% | |
| 2025-03-14 16:17:52,871 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 0.412 | Acc: 86.72% | |
| 2025-03-14 16:17:59,452 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 0.442 | Acc: 85.97% | |
| 2025-03-14 16:18:06,228 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 0.452 | Acc: 85.31% | |
| 2025-03-14 16:18:12,888 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 0.457 | Acc: 85.07% | |
| 2025-03-14 16:18:21,005 - train - INFO - Epoch: 30 | Test Loss: 0.656 | Test Acc: 78.35% | |
| 2025-03-14 16:18:33,022 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 0.579 | Acc: 82.81% | |
| 2025-03-14 16:18:39,739 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 0.443 | Acc: 85.60% | |
| 2025-03-14 16:18:46,476 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 0.452 | Acc: 85.29% | |
| 2025-03-14 16:18:52,888 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 0.458 | Acc: 85.02% | |
| 2025-03-14 16:19:00,889 - train - INFO - Epoch: 31 | Test Loss: 0.530 | Test Acc: 82.67% | |
| 2025-03-14 16:19:01,161 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 0.321 | Acc: 89.06% | |
| 2025-03-14 16:19:07,656 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 0.446 | Acc: 85.07% | |
| 2025-03-14 16:19:14,096 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 0.451 | Acc: 84.76% | |
| 2025-03-14 16:19:20,849 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 0.454 | Acc: 84.86% | |
| 2025-03-14 16:19:28,416 - train - INFO - Epoch: 32 | Test Loss: 0.834 | Test Acc: 73.96% | |
| 2025-03-14 16:19:40,125 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 0.497 | Acc: 82.03% | |
| 2025-03-14 16:19:47,217 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 0.447 | Acc: 85.14% | |
| 2025-03-14 16:19:53,869 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 0.460 | Acc: 84.78% | |
| 2025-03-14 16:20:00,742 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 0.451 | Acc: 85.11% | |
| 2025-03-14 16:20:09,000 - train - INFO - Epoch: 33 | Test Loss: 0.449 | Test Acc: 84.73% | |
| 2025-03-14 16:20:09,277 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 0.413 | Acc: 82.03% | |
| 2025-03-14 16:20:16,108 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 0.448 | Acc: 85.24% | |
| 2025-03-14 16:20:22,620 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 0.445 | Acc: 85.32% | |
| 2025-03-14 16:20:29,138 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 0.443 | Acc: 85.38% | |
| 2025-03-14 16:20:37,243 - train - INFO - Epoch: 34 | Test Loss: 0.531 | Test Acc: 82.30% | |
| 2025-03-14 16:20:49,210 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 0.354 | Acc: 87.50% | |
| 2025-03-14 16:20:55,814 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 0.432 | Acc: 85.93% | |
| 2025-03-14 16:21:02,450 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 0.439 | Acc: 85.55% | |
| 2025-03-14 16:21:08,928 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 0.442 | Acc: 85.40% | |
| 2025-03-14 16:21:17,192 - train - INFO - Epoch: 35 | Test Loss: 0.597 | Test Acc: 80.39% | |
| 2025-03-14 16:21:17,446 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 0.304 | Acc: 89.84% | |
| 2025-03-14 16:21:24,132 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 0.440 | Acc: 85.47% | |
| 2025-03-14 16:21:30,524 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 0.436 | Acc: 85.62% | |
| 2025-03-14 16:21:36,979 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 0.441 | Acc: 85.50% | |
| 2025-03-14 16:21:44,631 - train - INFO - Epoch: 36 | Test Loss: 0.642 | Test Acc: 78.95% | |
| 2025-03-14 16:21:56,350 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 0.366 | Acc: 86.72% | |
| 2025-03-14 16:22:02,994 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 0.435 | Acc: 85.64% | |
| 2025-03-14 16:22:09,586 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 0.440 | Acc: 85.30% | |
| 2025-03-14 16:22:16,323 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 0.444 | Acc: 85.23% | |
| 2025-03-14 16:22:24,686 - train - INFO - Epoch: 37 | Test Loss: 0.630 | Test Acc: 79.88% | |
| 2025-03-14 16:22:24,928 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 0.366 | Acc: 89.06% | |
| 2025-03-14 16:22:31,317 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 0.420 | Acc: 85.93% | |
| 2025-03-14 16:22:37,751 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 0.421 | Acc: 86.11% | |
| 2025-03-14 16:22:44,033 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 0.427 | Acc: 85.95% | |
| 2025-03-14 16:22:52,202 - train - INFO - Epoch: 38 | Test Loss: 0.530 | Test Acc: 82.57% | |
| 2025-03-14 16:23:03,115 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 0.402 | Acc: 85.94% | |
| 2025-03-14 16:23:09,617 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 0.437 | Acc: 85.83% | |
| 2025-03-14 16:23:16,188 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 0.434 | Acc: 85.81% | |
| 2025-03-14 16:23:22,787 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 0.440 | Acc: 85.63% | |
| 2025-03-14 16:23:30,722 - train - INFO - Epoch: 39 | Test Loss: 0.605 | Test Acc: 80.62% | |
| 2025-03-14 16:23:30,947 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 0.363 | Acc: 89.84% | |
| 2025-03-14 16:23:37,305 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 0.437 | Acc: 85.76% | |
| 2025-03-14 16:23:43,539 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 0.436 | Acc: 85.80% | |
| 2025-03-14 16:23:49,649 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 0.438 | Acc: 85.76% | |
| 2025-03-14 16:23:57,791 - train - INFO - Epoch: 40 | Test Loss: 0.522 | Test Acc: 82.90% | |
| 2025-03-14 16:24:10,073 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 0.347 | Acc: 87.50% | |
| 2025-03-14 16:24:16,616 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 0.431 | Acc: 85.68% | |
| 2025-03-14 16:24:23,037 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 0.438 | Acc: 85.39% | |
| 2025-03-14 16:24:29,562 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 0.435 | Acc: 85.55% | |
| 2025-03-14 16:24:37,304 - train - INFO - Epoch: 41 | Test Loss: 0.576 | Test Acc: 80.45% | |
| 2025-03-14 16:24:37,526 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 0.319 | Acc: 91.41% | |
| 2025-03-14 16:24:44,058 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 0.426 | Acc: 86.07% | |
| 2025-03-14 16:24:50,478 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 0.428 | Acc: 85.86% | |
| 2025-03-14 16:24:56,812 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 0.436 | Acc: 85.59% | |
| 2025-03-14 16:25:04,435 - train - INFO - Epoch: 42 | Test Loss: 0.617 | Test Acc: 80.75% | |
| 2025-03-14 16:25:16,446 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 0.413 | Acc: 83.59% | |
| 2025-03-14 16:25:23,070 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 0.414 | Acc: 86.35% | |
| 2025-03-14 16:25:29,554 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 0.418 | Acc: 86.25% | |
| 2025-03-14 16:25:35,883 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 0.425 | Acc: 85.97% | |
| 2025-03-14 16:25:43,587 - train - INFO - Epoch: 43 | Test Loss: 0.571 | Test Acc: 80.94% | |
| 2025-03-14 16:25:43,825 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 0.422 | Acc: 85.16% | |
| 2025-03-14 16:25:50,820 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 0.430 | Acc: 85.84% | |
| 2025-03-14 16:25:57,866 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 0.435 | Acc: 85.65% | |
| 2025-03-14 16:26:04,343 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 0.435 | Acc: 85.64% | |
| 2025-03-14 16:26:11,962 - train - INFO - Epoch: 44 | Test Loss: 0.544 | Test Acc: 81.97% | |
| 2025-03-14 16:26:23,304 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 0.537 | Acc: 79.69% | |
| 2025-03-14 16:26:29,717 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 0.416 | Acc: 86.31% | |
| 2025-03-14 16:26:36,049 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 0.426 | Acc: 86.04% | |
| 2025-03-14 16:26:42,335 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 0.433 | Acc: 85.66% | |
| 2025-03-14 16:26:50,038 - train - INFO - Epoch: 45 | Test Loss: 0.509 | Test Acc: 82.87% | |
| 2025-03-14 16:26:50,309 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 0.292 | Acc: 90.62% | |
| 2025-03-14 16:26:56,772 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 0.407 | Acc: 86.56% | |
| 2025-03-14 16:27:03,183 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 0.417 | Acc: 86.22% | |
| 2025-03-14 16:27:09,786 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 0.421 | Acc: 86.09% | |
| 2025-03-14 16:27:17,656 - train - INFO - Epoch: 46 | Test Loss: 0.557 | Test Acc: 81.43% | |
| 2025-03-14 16:27:28,839 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 0.359 | Acc: 89.06% | |
| 2025-03-14 16:27:35,181 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 0.414 | Acc: 86.39% | |
| 2025-03-14 16:27:41,630 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 0.427 | Acc: 85.87% | |
| 2025-03-14 16:27:47,853 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 0.430 | Acc: 85.79% | |
| 2025-03-14 16:27:56,187 - train - INFO - Epoch: 47 | Test Loss: 0.579 | Test Acc: 81.69% | |
| 2025-03-14 16:27:56,420 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 0.468 | Acc: 85.94% | |
| 2025-03-14 16:28:03,669 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 0.428 | Acc: 85.92% | |
| 2025-03-14 16:28:10,055 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 0.430 | Acc: 85.82% | |
| 2025-03-14 16:28:16,357 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 0.429 | Acc: 85.72% | |
| 2025-03-14 16:28:23,968 - train - INFO - Epoch: 48 | Test Loss: 0.595 | Test Acc: 80.28% | |
| 2025-03-14 16:28:35,744 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 0.294 | Acc: 89.06% | |
| 2025-03-14 16:28:42,339 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 0.401 | Acc: 86.66% | |
| 2025-03-14 16:28:48,791 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 0.411 | Acc: 86.20% | |
| 2025-03-14 16:28:55,258 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 0.418 | Acc: 86.02% | |
| 2025-03-14 16:29:02,924 - train - INFO - Epoch: 49 | Test Loss: 0.536 | Test Acc: 81.65% | |
| 2025-03-14 16:29:03,178 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 0.444 | Acc: 85.94% | |
| 2025-03-14 16:29:09,522 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 0.410 | Acc: 87.00% | |
| 2025-03-14 16:29:15,921 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 0.409 | Acc: 86.71% | |
| 2025-03-14 16:29:22,219 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 0.415 | Acc: 86.36% | |
| 2025-03-14 16:29:29,514 - train - INFO - Epoch: 50 | Test Loss: 0.619 | Test Acc: 78.84% | |
| 2025-03-14 16:29:40,209 - train - INFO - 训练完成! | |