| 2025-03-14 16:24:53,316 - train - INFO - 开始训练 efficientnet | |
| 2025-03-14 16:24:53,316 - train - INFO - 总轮数: 50, 学习率: 0.1, 设备: cuda:2 | |
| 2025-03-14 16:24:54,150 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.403 | Acc: 8.59% | |
| 2025-03-14 16:24:58,097 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.611 | Acc: 16.51% | |
| 2025-03-14 16:25:02,317 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 2.378 | Acc: 18.66% | |
| 2025-03-14 16:25:06,595 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 2.223 | Acc: 21.99% | |
| 2025-03-14 16:25:11,907 - train - INFO - Epoch: 1 | Test Loss: 1.709 | Test Acc: 37.62% | |
| 2025-03-14 16:25:12,408 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 1.729 | Acc: 31.25% | |
| 2025-03-14 16:25:16,797 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.697 | Acc: 36.48% | |
| 2025-03-14 16:25:21,076 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.662 | Acc: 38.39% | |
| 2025-03-14 16:25:25,190 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.639 | Acc: 39.51% | |
| 2025-03-14 16:25:30,403 - train - INFO - Epoch: 2 | Test Loss: 1.489 | Test Acc: 46.71% | |
| 2025-03-14 16:25:40,451 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 1.456 | Acc: 48.44% | |
| 2025-03-14 16:25:44,586 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 1.506 | Acc: 45.27% | |
| 2025-03-14 16:25:49,037 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 1.490 | Acc: 46.16% | |
| 2025-03-14 16:25:53,242 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 1.464 | Acc: 47.02% | |
| 2025-03-14 16:25:58,157 - train - INFO - Epoch: 3 | Test Loss: 1.362 | Test Acc: 50.80% | |
| 2025-03-14 16:25:58,372 - train - INFO - Epoch: 4 | Batch: 0 | Loss: 1.323 | Acc: 48.44% | |
| 2025-03-14 16:26:02,660 - train - INFO - Epoch: 4 | Batch: 100 | Loss: 1.341 | Acc: 51.55% | |
| 2025-03-14 16:26:06,851 - train - INFO - Epoch: 4 | Batch: 200 | Loss: 1.326 | Acc: 52.31% | |
| 2025-03-14 16:26:11,085 - train - INFO - Epoch: 4 | Batch: 300 | Loss: 1.311 | Acc: 52.83% | |
| 2025-03-14 16:26:16,103 - train - INFO - Epoch: 4 | Test Loss: 1.226 | Test Acc: 54.20% | |
| 2025-03-14 16:26:25,973 - train - INFO - Epoch: 5 | Batch: 0 | Loss: 1.249 | Acc: 53.12% | |
| 2025-03-14 16:26:30,091 - train - INFO - Epoch: 5 | Batch: 100 | Loss: 1.228 | Acc: 55.75% | |
| 2025-03-14 16:26:34,122 - train - INFO - Epoch: 5 | Batch: 200 | Loss: 1.233 | Acc: 55.84% | |
| 2025-03-14 16:26:38,125 - train - INFO - Epoch: 5 | Batch: 300 | Loss: 1.222 | Acc: 56.30% | |
| 2025-03-14 16:26:43,375 - train - INFO - Epoch: 5 | Test Loss: 1.064 | Test Acc: 62.23% | |
| 2025-03-14 16:26:43,613 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 1.153 | Acc: 67.97% | |
| 2025-03-14 16:26:47,694 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 1.118 | Acc: 60.44% | |
| 2025-03-14 16:26:52,049 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 1.114 | Acc: 60.63% | |
| 2025-03-14 16:26:56,398 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 1.101 | Acc: 60.95% | |
| 2025-03-14 16:27:01,593 - train - INFO - Epoch: 6 | Test Loss: 1.013 | Test Acc: 64.31% | |
| 2025-03-14 16:27:11,823 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 0.962 | Acc: 65.62% | |
| 2025-03-14 16:27:15,984 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 1.026 | Acc: 63.78% | |
| 2025-03-14 16:27:20,007 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 1.023 | Acc: 64.04% | |
| 2025-03-14 16:27:24,044 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 1.011 | Acc: 64.39% | |
| 2025-03-14 16:27:29,341 - train - INFO - Epoch: 7 | Test Loss: 0.982 | Test Acc: 66.05% | |
| 2025-03-14 16:27:29,554 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 0.997 | Acc: 62.50% | |
| 2025-03-14 16:27:33,742 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 0.977 | Acc: 65.49% | |
| 2025-03-14 16:27:37,968 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 0.972 | Acc: 65.79% | |
| 2025-03-14 16:27:41,908 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 0.967 | Acc: 66.00% | |
| 2025-03-14 16:27:47,093 - train - INFO - Epoch: 8 | Test Loss: 0.970 | Test Acc: 65.27% | |
| 2025-03-14 16:27:58,459 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 1.097 | Acc: 61.72% | |
| 2025-03-14 16:28:03,091 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 0.933 | Acc: 67.14% | |
| 2025-03-14 16:28:07,115 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 0.928 | Acc: 67.26% | |
| 2025-03-14 16:28:11,125 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 0.922 | Acc: 67.64% | |
| 2025-03-14 16:28:16,262 - train - INFO - Epoch: 9 | Test Loss: 0.860 | Test Acc: 70.44% | |
| 2025-03-14 16:28:16,484 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 0.762 | Acc: 69.53% | |
| 2025-03-14 16:28:20,620 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 0.881 | Acc: 69.64% | |
| 2025-03-14 16:28:24,782 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 0.881 | Acc: 69.51% | |
| 2025-03-14 16:28:29,178 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 0.883 | Acc: 69.31% | |
| 2025-03-14 16:28:34,443 - train - INFO - Epoch: 10 | Test Loss: 0.961 | Test Acc: 67.11% | |
| 2025-03-14 16:28:44,377 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 0.838 | Acc: 65.62% | |
| 2025-03-14 16:28:48,450 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 0.856 | Acc: 70.35% | |
| 2025-03-14 16:28:52,422 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 0.853 | Acc: 70.38% | |
| 2025-03-14 16:28:56,648 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 0.859 | Acc: 70.10% | |
| 2025-03-14 16:29:01,922 - train - INFO - Epoch: 11 | Test Loss: 0.929 | Test Acc: 68.30% | |
| 2025-03-14 16:29:02,164 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 0.918 | Acc: 68.75% | |
| 2025-03-14 16:29:06,383 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 0.843 | Acc: 70.23% | |
| 2025-03-14 16:29:10,393 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 0.849 | Acc: 70.18% | |
| 2025-03-14 16:29:14,619 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 0.851 | Acc: 70.25% | |
| 2025-03-14 16:29:20,040 - train - INFO - Epoch: 12 | Test Loss: 0.890 | Test Acc: 69.71% | |
| 2025-03-14 16:29:30,009 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 0.686 | Acc: 77.34% | |
| 2025-03-14 16:29:34,151 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 0.832 | Acc: 71.06% | |
| 2025-03-14 16:29:38,169 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 0.826 | Acc: 71.05% | |
| 2025-03-14 16:29:42,352 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 0.831 | Acc: 70.93% | |
| 2025-03-14 16:29:47,612 - train - INFO - Epoch: 13 | Test Loss: 0.804 | Test Acc: 72.10% | |
| 2025-03-14 16:29:47,842 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 0.855 | Acc: 68.75% | |
| 2025-03-14 16:29:52,017 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 0.805 | Acc: 71.96% | |
| 2025-03-14 16:29:55,912 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 0.814 | Acc: 71.71% | |
| 2025-03-14 16:30:00,027 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 0.818 | Acc: 71.49% | |
| 2025-03-14 16:30:05,322 - train - INFO - Epoch: 14 | Test Loss: 0.828 | Test Acc: 70.77% | |
| 2025-03-14 16:30:15,164 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 0.886 | Acc: 71.09% | |
| 2025-03-14 16:30:19,341 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 0.822 | Acc: 72.01% | |
| 2025-03-14 16:30:23,394 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 0.812 | Acc: 72.11% | |
| 2025-03-14 16:30:27,423 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 0.806 | Acc: 72.18% | |
| 2025-03-14 16:30:32,746 - train - INFO - Epoch: 15 | Test Loss: 0.792 | Test Acc: 72.85% | |
| 2025-03-14 16:30:32,981 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 0.680 | Acc: 77.34% | |
| 2025-03-14 16:30:37,197 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 0.772 | Acc: 73.04% | |
| 2025-03-14 16:30:41,453 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 0.785 | Acc: 72.70% | |
| 2025-03-14 16:30:45,667 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 0.786 | Acc: 72.58% | |
| 2025-03-14 16:30:50,860 - train - INFO - Epoch: 16 | Test Loss: 0.849 | Test Acc: 69.94% | |
| 2025-03-14 16:31:00,847 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 0.778 | Acc: 67.97% | |
| 2025-03-14 16:31:05,109 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 0.779 | Acc: 72.93% | |
| 2025-03-14 16:31:09,247 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 0.775 | Acc: 73.05% | |
| 2025-03-14 16:31:13,118 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 0.775 | Acc: 73.09% | |
| 2025-03-14 16:31:18,274 - train - INFO - Epoch: 17 | Test Loss: 0.962 | Test Acc: 68.02% | |
| 2025-03-14 16:31:18,490 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 0.703 | Acc: 71.09% | |
| 2025-03-14 16:31:22,475 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 0.768 | Acc: 73.15% | |
| 2025-03-14 16:31:26,283 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 0.768 | Acc: 73.13% | |
| 2025-03-14 16:31:30,181 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 0.773 | Acc: 73.08% | |
| 2025-03-14 16:31:35,186 - train - INFO - Epoch: 18 | Test Loss: 0.800 | Test Acc: 72.60% | |
| 2025-03-14 16:31:44,925 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 0.683 | Acc: 74.22% | |
| 2025-03-14 16:31:48,912 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 0.755 | Acc: 74.02% | |
| 2025-03-14 16:31:52,928 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 0.757 | Acc: 73.93% | |
| 2025-03-14 16:31:56,816 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 0.759 | Acc: 73.83% | |
| 2025-03-14 16:32:01,848 - train - INFO - Epoch: 19 | Test Loss: 0.843 | Test Acc: 70.60% | |
| 2025-03-14 16:32:02,083 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 0.831 | Acc: 69.53% | |
| 2025-03-14 16:32:06,173 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 0.762 | Acc: 73.55% | |
| 2025-03-14 16:32:10,108 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 0.761 | Acc: 73.54% | |
| 2025-03-14 16:32:13,922 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 0.754 | Acc: 73.83% | |
| 2025-03-14 16:32:18,890 - train - INFO - Epoch: 20 | Test Loss: 0.725 | Test Acc: 75.27% | |
| 2025-03-14 16:32:28,431 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 0.911 | Acc: 68.75% | |
| 2025-03-14 16:32:32,648 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 0.767 | Acc: 73.45% | |
| 2025-03-14 16:32:36,693 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 0.747 | Acc: 74.06% | |
| 2025-03-14 16:32:40,812 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 0.750 | Acc: 74.00% | |
| 2025-03-14 16:32:45,986 - train - INFO - Epoch: 21 | Test Loss: 0.778 | Test Acc: 73.44% | |
| 2025-03-14 16:32:46,219 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 0.708 | Acc: 76.56% | |
| 2025-03-14 16:32:50,396 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 0.760 | Acc: 73.92% | |
| 2025-03-14 16:32:54,576 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 0.745 | Acc: 74.22% | |
| 2025-03-14 16:32:58,677 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 0.742 | Acc: 74.32% | |
| 2025-03-14 16:33:03,987 - train - INFO - Epoch: 22 | Test Loss: 0.729 | Test Acc: 74.40% | |
| 2025-03-14 16:33:13,962 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 0.711 | Acc: 75.78% | |
| 2025-03-14 16:33:18,261 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 0.737 | Acc: 74.22% | |
| 2025-03-14 16:33:22,344 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 0.729 | Acc: 74.59% | |
| 2025-03-14 16:33:26,554 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 0.736 | Acc: 74.30% | |
| 2025-03-14 16:33:31,759 - train - INFO - Epoch: 23 | Test Loss: 0.795 | Test Acc: 72.91% | |
| 2025-03-14 16:33:31,969 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 0.667 | Acc: 78.12% | |
| 2025-03-14 16:33:36,099 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 0.708 | Acc: 75.29% | |
| 2025-03-14 16:33:40,299 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 0.716 | Acc: 74.91% | |
| 2025-03-14 16:33:44,520 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 0.720 | Acc: 74.79% | |
| 2025-03-14 16:33:49,851 - train - INFO - Epoch: 24 | Test Loss: 0.713 | Test Acc: 75.64% | |
| 2025-03-14 16:33:59,792 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 0.801 | Acc: 75.00% | |
| 2025-03-14 16:34:03,785 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 0.717 | Acc: 75.38% | |
| 2025-03-14 16:34:07,807 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 0.718 | Acc: 75.12% | |
| 2025-03-14 16:34:11,748 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 0.717 | Acc: 75.06% | |
| 2025-03-14 16:34:16,783 - train - INFO - Epoch: 25 | Test Loss: 0.719 | Test Acc: 75.11% | |
| 2025-03-14 16:34:16,994 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 0.749 | Acc: 72.66% | |
| 2025-03-14 16:34:21,113 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 0.717 | Acc: 75.18% | |
| 2025-03-14 16:34:25,235 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 0.716 | Acc: 75.06% | |
| 2025-03-14 16:34:29,185 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 0.714 | Acc: 75.23% | |
| 2025-03-14 16:34:34,159 - train - INFO - Epoch: 26 | Test Loss: 0.717 | Test Acc: 75.26% | |
| 2025-03-14 16:34:44,151 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 0.634 | Acc: 79.69% | |
| 2025-03-14 16:34:48,111 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 0.690 | Acc: 76.35% | |
| 2025-03-14 16:34:52,137 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 0.702 | Acc: 75.84% | |
| 2025-03-14 16:34:56,098 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 0.707 | Acc: 75.66% | |
| 2025-03-14 16:35:01,194 - train - INFO - Epoch: 27 | Test Loss: 0.782 | Test Acc: 74.84% | |
| 2025-03-14 16:35:01,448 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 0.664 | Acc: 79.69% | |
| 2025-03-14 16:35:05,614 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 0.718 | Acc: 75.27% | |
| 2025-03-14 16:35:09,598 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 0.708 | Acc: 75.55% | |
| 2025-03-14 16:35:13,509 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 0.706 | Acc: 75.58% | |
| 2025-03-14 16:35:18,618 - train - INFO - Epoch: 28 | Test Loss: 0.711 | Test Acc: 75.23% | |
| 2025-03-14 16:35:29,152 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 0.696 | Acc: 75.78% | |
| 2025-03-14 16:35:33,789 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 0.688 | Acc: 76.26% | |
| 2025-03-14 16:35:38,060 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 0.690 | Acc: 76.25% | |
| 2025-03-14 16:35:42,470 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 0.695 | Acc: 75.97% | |
| 2025-03-14 16:35:48,049 - train - INFO - Epoch: 29 | Test Loss: 0.731 | Test Acc: 74.49% | |
| 2025-03-14 16:35:48,286 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 0.733 | Acc: 74.22% | |
| 2025-03-14 16:35:52,658 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 0.690 | Acc: 76.14% | |
| 2025-03-14 16:35:57,013 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 0.693 | Acc: 76.10% | |
| 2025-03-14 16:36:01,138 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 0.690 | Acc: 76.22% | |
| 2025-03-14 16:36:06,430 - train - INFO - Epoch: 30 | Test Loss: 0.801 | Test Acc: 72.13% | |
| 2025-03-14 16:36:17,359 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 0.648 | Acc: 79.69% | |
| 2025-03-14 16:36:22,033 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 0.680 | Acc: 76.55% | |
| 2025-03-14 16:36:26,594 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 0.691 | Acc: 76.15% | |
| 2025-03-14 16:36:31,032 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 0.681 | Acc: 76.51% | |
| 2025-03-14 16:36:36,579 - train - INFO - Epoch: 31 | Test Loss: 0.677 | Test Acc: 76.25% | |
| 2025-03-14 16:36:36,805 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 0.527 | Acc: 83.59% | |
| 2025-03-14 16:36:41,318 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 0.686 | Acc: 75.84% | |
| 2025-03-14 16:36:46,490 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 0.687 | Acc: 75.98% | |
| 2025-03-14 16:36:51,387 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 0.686 | Acc: 76.03% | |
| 2025-03-14 16:36:57,281 - train - INFO - Epoch: 32 | Test Loss: 0.690 | Test Acc: 76.28% | |
| 2025-03-14 16:37:08,203 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 0.722 | Acc: 76.56% | |
| 2025-03-14 16:37:13,143 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 0.680 | Acc: 76.66% | |
| 2025-03-14 16:37:17,799 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 0.678 | Acc: 76.55% | |
| 2025-03-14 16:37:22,467 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 0.685 | Acc: 76.24% | |
| 2025-03-14 16:37:28,280 - train - INFO - Epoch: 33 | Test Loss: 0.681 | Test Acc: 76.51% | |
| 2025-03-14 16:37:28,543 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 0.765 | Acc: 72.66% | |
| 2025-03-14 16:37:33,136 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 0.647 | Acc: 77.37% | |
| 2025-03-14 16:37:37,717 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 0.670 | Acc: 76.81% | |
| 2025-03-14 16:37:42,617 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 0.674 | Acc: 76.67% | |
| 2025-03-14 16:37:48,408 - train - INFO - Epoch: 34 | Test Loss: 0.821 | Test Acc: 72.42% | |
| 2025-03-14 16:37:58,925 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 0.620 | Acc: 76.56% | |
| 2025-03-14 16:38:03,539 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 0.674 | Acc: 76.53% | |
| 2025-03-14 16:38:08,136 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 0.671 | Acc: 76.74% | |
| 2025-03-14 16:38:12,743 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 0.667 | Acc: 76.92% | |
| 2025-03-14 16:38:18,488 - train - INFO - Epoch: 35 | Test Loss: 0.712 | Test Acc: 75.76% | |
| 2025-03-14 16:38:18,764 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 0.744 | Acc: 72.66% | |
| 2025-03-14 16:38:23,452 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 0.670 | Acc: 77.07% | |
| 2025-03-14 16:38:28,175 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 0.658 | Acc: 77.18% | |
| 2025-03-14 16:38:33,144 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 0.665 | Acc: 77.00% | |
| 2025-03-14 16:38:38,679 - train - INFO - Epoch: 36 | Test Loss: 0.722 | Test Acc: 75.42% | |
| 2025-03-14 16:38:48,563 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 0.754 | Acc: 72.66% | |
| 2025-03-14 16:38:52,994 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 0.643 | Acc: 77.85% | |
| 2025-03-14 16:38:57,465 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 0.638 | Acc: 78.08% | |
| 2025-03-14 16:39:01,803 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 0.647 | Acc: 77.80% | |
| 2025-03-14 16:39:07,172 - train - INFO - Epoch: 37 | Test Loss: 0.681 | Test Acc: 76.38% | |
| 2025-03-14 16:39:07,411 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 0.838 | Acc: 69.53% | |
| 2025-03-14 16:39:11,854 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 0.642 | Acc: 77.89% | |
| 2025-03-14 16:39:16,355 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 0.652 | Acc: 77.73% | |
| 2025-03-14 16:39:20,774 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 0.659 | Acc: 77.39% | |
| 2025-03-14 16:39:26,358 - train - INFO - Epoch: 38 | Test Loss: 0.669 | Test Acc: 77.11% | |
| 2025-03-14 16:39:38,516 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 0.539 | Acc: 80.47% | |
| 2025-03-14 16:39:42,978 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 0.642 | Acc: 77.62% | |
| 2025-03-14 16:39:47,405 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 0.651 | Acc: 77.45% | |
| 2025-03-14 16:39:51,945 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 0.651 | Acc: 77.46% | |
| 2025-03-14 16:39:57,451 - train - INFO - Epoch: 39 | Test Loss: 0.739 | Test Acc: 75.44% | |
| 2025-03-14 16:39:57,707 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 0.652 | Acc: 76.56% | |
| 2025-03-14 16:40:02,251 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 0.637 | Acc: 77.98% | |
| 2025-03-14 16:40:06,685 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 0.643 | Acc: 77.82% | |
| 2025-03-14 16:40:11,120 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 0.649 | Acc: 77.58% | |
| 2025-03-14 16:40:16,706 - train - INFO - Epoch: 40 | Test Loss: 0.665 | Test Acc: 77.24% | |
| 2025-03-14 16:40:26,700 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 0.640 | Acc: 75.00% | |
| 2025-03-14 16:40:31,256 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 0.632 | Acc: 78.02% | |
| 2025-03-14 16:40:36,002 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 0.639 | Acc: 77.91% | |
| 2025-03-14 16:40:40,669 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 0.644 | Acc: 77.66% | |
| 2025-03-14 16:40:46,866 - train - INFO - Epoch: 41 | Test Loss: 0.657 | Test Acc: 77.40% | |
| 2025-03-14 16:40:47,109 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 0.586 | Acc: 80.47% | |
| 2025-03-14 16:40:52,054 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 0.630 | Acc: 78.36% | |
| 2025-03-14 16:40:56,728 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 0.642 | Acc: 77.88% | |
| 2025-03-14 16:41:01,135 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 0.647 | Acc: 77.72% | |
| 2025-03-14 16:41:06,646 - train - INFO - Epoch: 42 | Test Loss: 0.626 | Test Acc: 78.26% | |
| 2025-03-14 16:41:16,468 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 0.777 | Acc: 71.88% | |
| 2025-03-14 16:41:21,005 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 0.630 | Acc: 78.60% | |
| 2025-03-14 16:41:25,543 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 0.638 | Acc: 78.19% | |
| 2025-03-14 16:41:29,970 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 0.637 | Acc: 78.23% | |
| 2025-03-14 16:41:35,513 - train - INFO - Epoch: 43 | Test Loss: 0.659 | Test Acc: 77.86% | |
| 2025-03-14 16:41:35,761 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 0.658 | Acc: 74.22% | |
| 2025-03-14 16:41:40,313 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 0.645 | Acc: 77.85% | |
| 2025-03-14 16:41:44,720 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 0.634 | Acc: 78.37% | |
| 2025-03-14 16:41:49,081 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 0.639 | Acc: 78.13% | |
| 2025-03-14 16:41:54,698 - train - INFO - Epoch: 44 | Test Loss: 0.792 | Test Acc: 72.59% | |
| 2025-03-14 16:42:05,706 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 0.531 | Acc: 84.38% | |
| 2025-03-14 16:42:10,551 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 0.620 | Acc: 78.21% | |
| 2025-03-14 16:42:15,461 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 0.630 | Acc: 78.25% | |
| 2025-03-14 16:42:19,911 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 0.628 | Acc: 78.37% | |
| 2025-03-14 16:42:25,495 - train - INFO - Epoch: 45 | Test Loss: 0.655 | Test Acc: 77.37% | |
| 2025-03-14 16:42:25,737 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 0.602 | Acc: 78.12% | |
| 2025-03-14 16:42:30,584 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 0.619 | Acc: 78.44% | |
| 2025-03-14 16:42:35,258 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 0.622 | Acc: 78.49% | |
| 2025-03-14 16:42:39,743 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 0.623 | Acc: 78.62% | |
| 2025-03-14 16:42:45,591 - train - INFO - Epoch: 46 | Test Loss: 0.773 | Test Acc: 74.10% | |
| 2025-03-14 16:42:55,831 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 0.802 | Acc: 71.09% | |
| 2025-03-14 16:43:00,591 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 0.619 | Acc: 78.91% | |
| 2025-03-14 16:43:05,170 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 0.629 | Acc: 78.33% | |
| 2025-03-14 16:43:09,942 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 0.622 | Acc: 78.56% | |
| 2025-03-14 16:43:15,560 - train - INFO - Epoch: 47 | Test Loss: 0.729 | Test Acc: 75.41% | |
| 2025-03-14 16:43:15,823 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 0.684 | Acc: 75.78% | |
| 2025-03-14 16:43:20,316 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 0.621 | Acc: 78.23% | |
| 2025-03-14 16:43:24,876 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 0.619 | Acc: 78.47% | |
| 2025-03-14 16:43:29,403 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 0.619 | Acc: 78.62% | |
| 2025-03-14 16:43:35,050 - train - INFO - Epoch: 48 | Test Loss: 0.661 | Test Acc: 77.18% | |
| 2025-03-14 16:43:45,649 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 0.794 | Acc: 72.66% | |
| 2025-03-14 16:43:50,300 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 0.602 | Acc: 79.48% | |
| 2025-03-14 16:43:54,809 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 0.614 | Acc: 78.90% | |
| 2025-03-14 16:43:59,457 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 0.611 | Acc: 78.98% | |
| 2025-03-14 16:44:05,989 - train - INFO - Epoch: 49 | Test Loss: 0.698 | Test Acc: 76.72% | |
| 2025-03-14 16:44:06,255 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 0.631 | Acc: 78.12% | |
| 2025-03-14 16:44:11,479 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 0.620 | Acc: 78.37% | |
| 2025-03-14 16:44:16,041 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 0.625 | Acc: 78.28% | |
| 2025-03-14 16:44:20,488 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 0.618 | Acc: 78.60% | |
| 2025-03-14 16:44:26,092 - train - INFO - Epoch: 50 | Test Loss: 0.699 | Test Acc: 76.03% | |
| 2025-03-14 16:44:37,169 - train - INFO - 训练完成! | |