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9e14a76
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Parent(s):
初始提交，清理历史记录
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- .gitattributes +56 -0
- .gitignore +2 -0
- Image/AlexNet/code/backdoor_train.log +503 -0
- Image/AlexNet/code/model.py +81 -0
- Image/AlexNet/code/train.log +503 -0
- Image/AlexNet/code/train.py +42 -0
- Image/AlexNet/dataset/.gitkeep +0 -0
- Image/AlexNet/model/0/epoch1/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch1/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch10/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch10/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch11/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch11/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch12/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch12/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch13/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch13/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch14/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch14/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch15/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch15/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch16/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch16/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch17/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch17/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch18/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch18/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch19/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch19/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch2/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch2/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch20/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch20/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch21/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch21/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch22/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch22/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch23/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch23/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch24/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch24/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch25/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch25/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch3/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch3/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch4/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch4/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch5/embeddings.npy +3 -0
- Image/AlexNet/model/0/epoch5/subject_model.pth +3 -0
- Image/AlexNet/model/0/epoch6/embeddings.npy +3 -0
.gitattributes
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# Audio files - uncompressed
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.gitignore
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*.pyc
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_pycache_
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Image/AlexNet/code/backdoor_train.log
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| 1 |
+
2025-03-09 20:19:12,058 - train - INFO - 开始训练 alexnet
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| 2 |
+
2025-03-09 20:19:12,058 - train - INFO - 总轮数: 100, 学习率: 0.1, 设备: cuda:2
|
| 3 |
+
2025-03-09 20:19:12,675 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.303 | Acc: 16.41%
|
| 4 |
+
2025-03-09 20:19:14,626 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.271 | Acc: 18.68%
|
| 5 |
+
2025-03-09 20:19:16,523 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 2.251 | Acc: 19.08%
|
| 6 |
+
2025-03-09 20:19:18,515 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 2.190 | Acc: 19.65%
|
| 7 |
+
2025-03-09 20:19:21,395 - train - INFO - Epoch: 1 | Test Loss: 1.966 | Test Acc: 18.53%
|
| 8 |
+
2025-03-09 20:19:21,531 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 2.000 | Acc: 20.31%
|
| 9 |
+
2025-03-09 20:19:23,427 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.985 | Acc: 20.66%
|
| 10 |
+
2025-03-09 20:19:25,413 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.976 | Acc: 20.93%
|
| 11 |
+
2025-03-09 20:19:27,414 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.963 | Acc: 21.40%
|
| 12 |
+
2025-03-09 20:19:30,365 - train - INFO - Epoch: 2 | Test Loss: 1.889 | Test Acc: 20.28%
|
| 13 |
+
2025-03-09 20:19:30,566 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 1.928 | Acc: 26.56%
|
| 14 |
+
2025-03-09 20:19:33,166 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 1.907 | Acc: 24.49%
|
| 15 |
+
2025-03-09 20:19:35,301 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 1.885 | Acc: 25.66%
|
| 16 |
+
2025-03-09 20:19:37,244 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 1.861 | Acc: 26.84%
|
| 17 |
+
2025-03-09 20:19:40,542 - train - INFO - Epoch: 3 | Test Loss: 1.751 | Test Acc: 28.73%
|
| 18 |
+
2025-03-09 20:19:40,699 - train - INFO - Epoch: 4 | Batch: 0 | Loss: 1.752 | Acc: 31.25%
|
| 19 |
+
2025-03-09 20:19:42,615 - train - INFO - Epoch: 4 | Batch: 100 | Loss: 1.688 | Acc: 34.92%
|
| 20 |
+
2025-03-09 20:19:44,581 - train - INFO - Epoch: 4 | Batch: 200 | Loss: 1.674 | Acc: 35.46%
|
| 21 |
+
2025-03-09 20:19:46,517 - train - INFO - Epoch: 4 | Batch: 300 | Loss: 1.670 | Acc: 35.93%
|
| 22 |
+
2025-03-09 20:19:49,443 - train - INFO - Epoch: 4 | Test Loss: 1.597 | Test Acc: 40.89%
|
| 23 |
+
2025-03-09 20:19:57,639 - train - INFO - Epoch: 5 | Batch: 0 | Loss: 1.450 | Acc: 47.66%
|
| 24 |
+
2025-03-09 20:19:59,573 - train - INFO - Epoch: 5 | Batch: 100 | Loss: 1.591 | Acc: 40.60%
|
| 25 |
+
2025-03-09 20:20:01,613 - train - INFO - Epoch: 5 | Batch: 200 | Loss: 1.572 | Acc: 41.28%
|
| 26 |
+
2025-03-09 20:20:03,589 - train - INFO - Epoch: 5 | Batch: 300 | Loss: 1.564 | Acc: 41.79%
|
| 27 |
+
2025-03-09 20:20:06,878 - train - INFO - Epoch: 5 | Test Loss: 1.498 | Test Acc: 46.10%
|
| 28 |
+
2025-03-09 20:20:07,049 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 1.323 | Acc: 53.12%
|
| 29 |
+
2025-03-09 20:20:09,159 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 1.504 | Acc: 44.93%
|
| 30 |
+
2025-03-09 20:20:11,263 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 1.507 | Acc: 45.20%
|
| 31 |
+
2025-03-09 20:20:13,313 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 1.511 | Acc: 45.22%
|
| 32 |
+
2025-03-09 20:20:16,255 - train - INFO - Epoch: 6 | Test Loss: 1.616 | Test Acc: 43.10%
|
| 33 |
+
2025-03-09 20:20:16,412 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 1.604 | Acc: 40.62%
|
| 34 |
+
2025-03-09 20:20:18,415 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 1.507 | Acc: 44.99%
|
| 35 |
+
2025-03-09 20:20:20,351 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 1.481 | Acc: 46.18%
|
| 36 |
+
2025-03-09 20:20:22,266 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 1.494 | Acc: 46.05%
|
| 37 |
+
2025-03-09 20:20:25,325 - train - INFO - Epoch: 7 | Test Loss: 1.543 | Test Acc: 43.40%
|
| 38 |
+
2025-03-09 20:20:25,492 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 1.399 | Acc: 49.22%
|
| 39 |
+
2025-03-09 20:20:27,700 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 1.477 | Acc: 47.11%
|
| 40 |
+
2025-03-09 20:20:29,710 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 1.464 | Acc: 47.44%
|
| 41 |
+
2025-03-09 20:20:31,913 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 1.461 | Acc: 47.83%
|
| 42 |
+
2025-03-09 20:20:35,491 - train - INFO - Epoch: 8 | Test Loss: 1.713 | Test Acc: 42.90%
|
| 43 |
+
2025-03-09 20:20:44,721 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 1.387 | Acc: 50.78%
|
| 44 |
+
2025-03-09 20:20:46,712 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 1.450 | Acc: 48.65%
|
| 45 |
+
2025-03-09 20:20:48,602 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 1.446 | Acc: 48.56%
|
| 46 |
+
2025-03-09 20:20:50,410 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 1.449 | Acc: 48.34%
|
| 47 |
+
2025-03-09 20:20:53,243 - train - INFO - Epoch: 9 | Test Loss: 1.560 | Test Acc: 44.42%
|
| 48 |
+
2025-03-09 20:20:53,419 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 1.467 | Acc: 47.66%
|
| 49 |
+
2025-03-09 20:20:55,289 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 1.438 | Acc: 48.78%
|
| 50 |
+
2025-03-09 20:20:57,200 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 1.437 | Acc: 49.22%
|
| 51 |
+
2025-03-09 20:20:59,140 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 1.425 | Acc: 49.63%
|
| 52 |
+
2025-03-09 20:21:02,190 - train - INFO - Epoch: 10 | Test Loss: 1.399 | Test Acc: 51.59%
|
| 53 |
+
2025-03-09 20:21:02,359 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 1.214 | Acc: 60.94%
|
| 54 |
+
2025-03-09 20:21:04,254 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 1.449 | Acc: 48.41%
|
| 55 |
+
2025-03-09 20:21:06,162 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 1.457 | Acc: 48.33%
|
| 56 |
+
2025-03-09 20:21:08,031 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 1.449 | Acc: 48.74%
|
| 57 |
+
2025-03-09 20:21:11,037 - train - INFO - Epoch: 11 | Test Loss: 1.485 | Test Acc: 49.63%
|
| 58 |
+
2025-03-09 20:21:11,206 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 1.293 | Acc: 51.56%
|
| 59 |
+
2025-03-09 20:21:13,154 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 1.422 | Acc: 50.02%
|
| 60 |
+
2025-03-09 20:21:15,086 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 1.406 | Acc: 50.85%
|
| 61 |
+
2025-03-09 20:21:17,146 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 1.413 | Acc: 50.54%
|
| 62 |
+
2025-03-09 20:21:20,196 - train - INFO - Epoch: 12 | Test Loss: 1.515 | Test Acc: 46.31%
|
| 63 |
+
2025-03-09 20:21:28,840 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 1.368 | Acc: 46.88%
|
| 64 |
+
2025-03-09 20:21:30,993 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 1.425 | Acc: 50.31%
|
| 65 |
+
2025-03-09 20:21:33,129 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 1.418 | Acc: 50.51%
|
| 66 |
+
2025-03-09 20:21:35,080 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 1.422 | Acc: 50.37%
|
| 67 |
+
2025-03-09 20:21:38,299 - train - INFO - Epoch: 13 | Test Loss: 1.688 | Test Acc: 43.65%
|
| 68 |
+
2025-03-09 20:21:38,495 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 1.597 | Acc: 46.88%
|
| 69 |
+
2025-03-09 20:21:40,470 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 1.417 | Acc: 50.60%
|
| 70 |
+
2025-03-09 20:21:42,443 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 1.441 | Acc: 49.58%
|
| 71 |
+
2025-03-09 20:21:44,403 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 1.439 | Acc: 49.61%
|
| 72 |
+
2025-03-09 20:21:47,387 - train - INFO - Epoch: 14 | Test Loss: 1.390 | Test Acc: 53.03%
|
| 73 |
+
2025-03-09 20:21:47,552 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 1.497 | Acc: 50.78%
|
| 74 |
+
2025-03-09 20:21:49,502 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 1.401 | Acc: 51.78%
|
| 75 |
+
2025-03-09 20:21:51,470 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 1.405 | Acc: 51.27%
|
| 76 |
+
2025-03-09 20:21:53,392 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 1.413 | Acc: 51.07%
|
| 77 |
+
2025-03-09 20:21:56,330 - train - INFO - Epoch: 15 | Test Loss: 1.420 | Test Acc: 51.08%
|
| 78 |
+
2025-03-09 20:21:56,494 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 1.452 | Acc: 45.31%
|
| 79 |
+
2025-03-09 20:21:58,628 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 1.414 | Acc: 50.87%
|
| 80 |
+
2025-03-09 20:22:00,738 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 1.409 | Acc: 51.10%
|
| 81 |
+
2025-03-09 20:22:02,889 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 1.410 | Acc: 51.06%
|
| 82 |
+
2025-03-09 20:22:06,141 - train - INFO - Epoch: 16 | Test Loss: 1.340 | Test Acc: 54.35%
|
| 83 |
+
2025-03-09 20:22:15,047 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 1.409 | Acc: 50.00%
|
| 84 |
+
2025-03-09 20:22:17,210 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 1.392 | Acc: 52.21%
|
| 85 |
+
2025-03-09 20:22:19,647 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 1.388 | Acc: 52.15%
|
| 86 |
+
2025-03-09 20:22:21,842 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 1.386 | Acc: 52.22%
|
| 87 |
+
2025-03-09 20:22:25,119 - train - INFO - Epoch: 17 | Test Loss: 1.341 | Test Acc: 53.27%
|
| 88 |
+
2025-03-09 20:22:25,281 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 1.476 | Acc: 46.09%
|
| 89 |
+
2025-03-09 20:22:27,733 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 1.405 | Acc: 52.00%
|
| 90 |
+
2025-03-09 20:22:29,947 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 1.408 | Acc: 51.39%
|
| 91 |
+
2025-03-09 20:22:31,944 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 1.402 | Acc: 51.70%
|
| 92 |
+
2025-03-09 20:22:35,223 - train - INFO - Epoch: 18 | Test Loss: 1.446 | Test Acc: 49.65%
|
| 93 |
+
2025-03-09 20:22:35,389 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 1.405 | Acc: 50.78%
|
| 94 |
+
2025-03-09 20:22:37,625 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 1.415 | Acc: 51.73%
|
| 95 |
+
2025-03-09 20:22:39,692 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 1.413 | Acc: 51.99%
|
| 96 |
+
2025-03-09 20:22:41,607 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 1.405 | Acc: 52.11%
|
| 97 |
+
2025-03-09 20:22:44,549 - train - INFO - Epoch: 19 | Test Loss: 1.407 | Test Acc: 52.25%
|
| 98 |
+
2025-03-09 20:22:44,717 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 1.496 | Acc: 52.34%
|
| 99 |
+
2025-03-09 20:22:46,695 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 1.393 | Acc: 52.61%
|
| 100 |
+
2025-03-09 20:22:48,558 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 1.391 | Acc: 52.68%
|
| 101 |
+
2025-03-09 20:22:50,490 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 1.386 | Acc: 52.47%
|
| 102 |
+
2025-03-09 20:22:53,448 - train - INFO - Epoch: 20 | Test Loss: 1.386 | Test Acc: 52.54%
|
| 103 |
+
2025-03-09 20:23:02,248 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 1.271 | Acc: 53.91%
|
| 104 |
+
2025-03-09 20:23:04,411 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 1.377 | Acc: 52.96%
|
| 105 |
+
2025-03-09 20:23:06,656 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 1.362 | Acc: 53.40%
|
| 106 |
+
2025-03-09 20:23:08,804 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 1.365 | Acc: 53.34%
|
| 107 |
+
2025-03-09 20:23:11,945 - train - INFO - Epoch: 21 | Test Loss: 1.409 | Test Acc: 52.31%
|
| 108 |
+
2025-03-09 20:23:12,122 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 1.437 | Acc: 52.34%
|
| 109 |
+
2025-03-09 20:23:14,013 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 1.347 | Acc: 53.79%
|
| 110 |
+
2025-03-09 20:23:15,873 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 1.363 | Acc: 52.99%
|
| 111 |
+
2025-03-09 20:23:17,764 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 1.364 | Acc: 53.03%
|
| 112 |
+
2025-03-09 20:23:20,673 - train - INFO - Epoch: 22 | Test Loss: 1.469 | Test Acc: 49.71%
|
| 113 |
+
2025-03-09 20:23:20,830 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 1.354 | Acc: 49.22%
|
| 114 |
+
2025-03-09 20:23:22,923 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 1.379 | Acc: 52.44%
|
| 115 |
+
2025-03-09 20:23:24,848 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 1.379 | Acc: 52.37%
|
| 116 |
+
2025-03-09 20:23:26,896 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 1.374 | Acc: 52.68%
|
| 117 |
+
2025-03-09 20:23:30,039 - train - INFO - Epoch: 23 | Test Loss: 1.362 | Test Acc: 52.68%
|
| 118 |
+
2025-03-09 20:23:30,193 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 1.161 | Acc: 61.72%
|
| 119 |
+
2025-03-09 20:23:32,373 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 1.389 | Acc: 52.10%
|
| 120 |
+
2025-03-09 20:23:34,420 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 1.380 | Acc: 52.79%
|
| 121 |
+
2025-03-09 20:23:36,633 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 1.385 | Acc: 52.65%
|
| 122 |
+
2025-03-09 20:23:39,821 - train - INFO - Epoch: 24 | Test Loss: 1.370 | Test Acc: 52.61%
|
| 123 |
+
2025-03-09 20:23:48,489 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 1.393 | Acc: 53.12%
|
| 124 |
+
2025-03-09 20:23:50,419 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 1.372 | Acc: 53.69%
|
| 125 |
+
2025-03-09 20:23:52,355 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 1.400 | Acc: 52.04%
|
| 126 |
+
2025-03-09 20:23:54,234 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 1.385 | Acc: 52.35%
|
| 127 |
+
2025-03-09 20:23:57,196 - train - INFO - Epoch: 25 | Test Loss: 1.394 | Test Acc: 52.26%
|
| 128 |
+
2025-03-09 20:23:57,352 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 1.450 | Acc: 59.38%
|
| 129 |
+
2025-03-09 20:23:59,265 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 1.348 | Acc: 54.16%
|
| 130 |
+
2025-03-09 20:24:01,145 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 1.334 | Acc: 54.64%
|
| 131 |
+
2025-03-09 20:24:03,153 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 1.333 | Acc: 54.60%
|
| 132 |
+
2025-03-09 20:24:06,282 - train - INFO - Epoch: 26 | Test Loss: 1.348 | Test Acc: 53.70%
|
| 133 |
+
2025-03-09 20:24:06,508 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 1.219 | Acc: 58.59%
|
| 134 |
+
2025-03-09 20:24:08,538 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 1.338 | Acc: 54.12%
|
| 135 |
+
2025-03-09 20:24:10,668 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 1.350 | Acc: 53.35%
|
| 136 |
+
2025-03-09 20:24:12,748 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 1.349 | Acc: 53.77%
|
| 137 |
+
2025-03-09 20:24:15,793 - train - INFO - Epoch: 27 | Test Loss: 1.359 | Test Acc: 52.39%
|
| 138 |
+
2025-03-09 20:24:15,977 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 1.496 | Acc: 47.66%
|
| 139 |
+
2025-03-09 20:24:17,971 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 1.372 | Acc: 52.45%
|
| 140 |
+
2025-03-09 20:24:19,834 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 1.352 | Acc: 53.57%
|
| 141 |
+
2025-03-09 20:24:21,705 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 1.358 | Acc: 53.43%
|
| 142 |
+
2025-03-09 20:24:24,689 - train - INFO - Epoch: 28 | Test Loss: 1.377 | Test Acc: 54.25%
|
| 143 |
+
2025-03-09 20:24:33,155 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 1.412 | Acc: 48.44%
|
| 144 |
+
2025-03-09 20:24:35,070 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 1.370 | Acc: 53.01%
|
| 145 |
+
2025-03-09 20:24:37,032 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 1.367 | Acc: 53.06%
|
| 146 |
+
2025-03-09 20:24:39,067 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 1.353 | Acc: 53.75%
|
| 147 |
+
2025-03-09 20:24:42,247 - train - INFO - Epoch: 29 | Test Loss: 1.488 | Test Acc: 47.56%
|
| 148 |
+
2025-03-09 20:24:42,420 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 1.462 | Acc: 48.44%
|
| 149 |
+
2025-03-09 20:24:44,388 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 1.386 | Acc: 52.71%
|
| 150 |
+
2025-03-09 20:24:46,476 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 1.375 | Acc: 53.26%
|
| 151 |
+
2025-03-09 20:24:48,451 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 1.367 | Acc: 53.45%
|
| 152 |
+
2025-03-09 20:24:51,659 - train - INFO - Epoch: 30 | Test Loss: 1.347 | Test Acc: 52.89%
|
| 153 |
+
2025-03-09 20:24:51,817 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 1.475 | Acc: 51.56%
|
| 154 |
+
2025-03-09 20:24:53,919 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 1.358 | Acc: 54.30%
|
| 155 |
+
2025-03-09 20:24:56,164 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 1.349 | Acc: 54.70%
|
| 156 |
+
2025-03-09 20:24:58,081 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 1.339 | Acc: 54.88%
|
| 157 |
+
2025-03-09 20:25:00,872 - train - INFO - Epoch: 31 | Test Loss: 1.342 | Test Acc: 54.27%
|
| 158 |
+
2025-03-09 20:25:01,010 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 1.281 | Acc: 56.25%
|
| 159 |
+
2025-03-09 20:25:02,872 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 1.343 | Acc: 54.04%
|
| 160 |
+
2025-03-09 20:25:04,904 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 1.345 | Acc: 53.87%
|
| 161 |
+
2025-03-09 20:25:06,912 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 1.336 | Acc: 54.46%
|
| 162 |
+
2025-03-09 20:25:09,820 - train - INFO - Epoch: 32 | Test Loss: 1.399 | Test Acc: 53.36%
|
| 163 |
+
2025-03-09 20:25:18,309 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 1.352 | Acc: 57.81%
|
| 164 |
+
2025-03-09 20:25:20,363 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 1.311 | Acc: 55.27%
|
| 165 |
+
2025-03-09 20:25:22,301 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 1.311 | Acc: 55.33%
|
| 166 |
+
2025-03-09 20:25:24,323 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 1.303 | Acc: 55.76%
|
| 167 |
+
2025-03-09 20:25:27,526 - train - INFO - Epoch: 33 | Test Loss: 1.348 | Test Acc: 55.64%
|
| 168 |
+
2025-03-09 20:25:27,697 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 1.294 | Acc: 52.34%
|
| 169 |
+
2025-03-09 20:25:29,828 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 1.319 | Acc: 55.61%
|
| 170 |
+
2025-03-09 20:25:31,968 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 1.313 | Acc: 55.77%
|
| 171 |
+
2025-03-09 20:25:34,273 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 1.317 | Acc: 55.53%
|
| 172 |
+
2025-03-09 20:25:37,696 - train - INFO - Epoch: 34 | Test Loss: 1.453 | Test Acc: 52.69%
|
| 173 |
+
2025-03-09 20:25:37,860 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 1.607 | Acc: 48.44%
|
| 174 |
+
2025-03-09 20:25:40,073 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 1.330 | Acc: 55.03%
|
| 175 |
+
2025-03-09 20:25:42,446 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 1.314 | Acc: 55.59%
|
| 176 |
+
2025-03-09 20:25:44,548 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 1.313 | Acc: 55.58%
|
| 177 |
+
2025-03-09 20:25:47,695 - train - INFO - Epoch: 35 | Test Loss: 1.366 | Test Acc: 53.31%
|
| 178 |
+
2025-03-09 20:25:47,852 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 1.387 | Acc: 53.91%
|
| 179 |
+
2025-03-09 20:25:49,788 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 1.331 | Acc: 55.28%
|
| 180 |
+
2025-03-09 20:25:51,705 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 1.331 | Acc: 55.26%
|
| 181 |
+
2025-03-09 20:25:53,699 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 1.332 | Acc: 55.45%
|
| 182 |
+
2025-03-09 20:25:56,774 - train - INFO - Epoch: 36 | Test Loss: 1.273 | Test Acc: 56.38%
|
| 183 |
+
2025-03-09 20:26:05,606 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 1.296 | Acc: 58.59%
|
| 184 |
+
2025-03-09 20:26:07,890 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 1.324 | Acc: 54.72%
|
| 185 |
+
2025-03-09 20:26:09,936 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 1.321 | Acc: 55.64%
|
| 186 |
+
2025-03-09 20:26:12,029 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 1.315 | Acc: 55.72%
|
| 187 |
+
2025-03-09 20:26:15,068 - train - INFO - Epoch: 37 | Test Loss: 1.290 | Test Acc: 56.71%
|
| 188 |
+
2025-03-09 20:26:15,238 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 1.452 | Acc: 51.56%
|
| 189 |
+
2025-03-09 20:26:17,226 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 1.312 | Acc: 56.12%
|
| 190 |
+
2025-03-09 20:26:19,216 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 1.300 | Acc: 56.18%
|
| 191 |
+
2025-03-09 20:26:21,112 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 1.306 | Acc: 55.91%
|
| 192 |
+
2025-03-09 20:26:23,992 - train - INFO - Epoch: 38 | Test Loss: 1.361 | Test Acc: 54.99%
|
| 193 |
+
2025-03-09 20:26:24,159 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 1.445 | Acc: 52.34%
|
| 194 |
+
2025-03-09 20:26:26,133 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 1.322 | Acc: 54.90%
|
| 195 |
+
2025-03-09 20:26:28,117 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 1.314 | Acc: 55.84%
|
| 196 |
+
2025-03-09 20:26:30,147 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 1.314 | Acc: 55.66%
|
| 197 |
+
2025-03-09 20:26:33,109 - train - INFO - Epoch: 39 | Test Loss: 1.350 | Test Acc: 54.42%
|
| 198 |
+
2025-03-09 20:26:33,294 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 1.216 | Acc: 60.16%
|
| 199 |
+
2025-03-09 20:26:35,443 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 1.298 | Acc: 56.68%
|
| 200 |
+
2025-03-09 20:26:38,192 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 1.292 | Acc: 56.84%
|
| 201 |
+
2025-03-09 20:26:40,191 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 1.288 | Acc: 56.83%
|
| 202 |
+
2025-03-09 20:26:43,736 - train - INFO - Epoch: 40 | Test Loss: 1.414 | Test Acc: 53.13%
|
| 203 |
+
2025-03-09 20:26:52,109 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 1.310 | Acc: 50.78%
|
| 204 |
+
2025-03-09 20:26:53,954 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 1.288 | Acc: 56.18%
|
| 205 |
+
2025-03-09 20:26:55,875 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 1.305 | Acc: 55.85%
|
| 206 |
+
2025-03-09 20:26:57,745 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 1.307 | Acc: 56.09%
|
| 207 |
+
2025-03-09 20:27:00,677 - train - INFO - Epoch: 41 | Test Loss: 1.363 | Test Acc: 53.66%
|
| 208 |
+
2025-03-09 20:27:00,850 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 1.274 | Acc: 55.47%
|
| 209 |
+
2025-03-09 20:27:02,898 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 1.287 | Acc: 56.66%
|
| 210 |
+
2025-03-09 20:27:04,913 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 1.295 | Acc: 56.11%
|
| 211 |
+
2025-03-09 20:27:07,000 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 1.310 | Acc: 55.73%
|
| 212 |
+
2025-03-09 20:27:10,353 - train - INFO - Epoch: 42 | Test Loss: 1.267 | Test Acc: 55.87%
|
| 213 |
+
2025-03-09 20:27:10,566 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 1.068 | Acc: 61.72%
|
| 214 |
+
2025-03-09 20:27:12,538 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 1.276 | Acc: 57.14%
|
| 215 |
+
2025-03-09 20:27:14,555 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 1.281 | Acc: 56.92%
|
| 216 |
+
2025-03-09 20:27:16,452 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 1.294 | Acc: 56.41%
|
| 217 |
+
2025-03-09 20:27:19,499 - train - INFO - Epoch: 43 | Test Loss: 1.402 | Test Acc: 54.51%
|
| 218 |
+
2025-03-09 20:27:19,668 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 1.519 | Acc: 47.66%
|
| 219 |
+
2025-03-09 20:27:21,706 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 1.300 | Acc: 56.28%
|
| 220 |
+
2025-03-09 20:27:23,755 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 1.310 | Acc: 55.94%
|
| 221 |
+
2025-03-09 20:27:25,686 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 1.307 | Acc: 56.03%
|
| 222 |
+
2025-03-09 20:27:28,811 - train - INFO - Epoch: 44 | Test Loss: 1.234 | Test Acc: 58.47%
|
| 223 |
+
2025-03-09 20:27:37,172 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 1.269 | Acc: 58.59%
|
| 224 |
+
2025-03-09 20:27:39,166 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 1.280 | Acc: 56.24%
|
| 225 |
+
2025-03-09 20:27:41,156 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 1.286 | Acc: 56.27%
|
| 226 |
+
2025-03-09 20:27:43,004 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 1.286 | Acc: 56.40%
|
| 227 |
+
2025-03-09 20:27:45,868 - train - INFO - Epoch: 45 | Test Loss: 1.282 | Test Acc: 55.78%
|
| 228 |
+
2025-03-09 20:27:46,023 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 1.239 | Acc: 51.56%
|
| 229 |
+
2025-03-09 20:27:47,975 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 1.302 | Acc: 55.83%
|
| 230 |
+
2025-03-09 20:27:49,950 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 1.266 | Acc: 57.14%
|
| 231 |
+
2025-03-09 20:27:52,118 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 1.255 | Acc: 57.51%
|
| 232 |
+
2025-03-09 20:27:55,154 - train - INFO - Epoch: 46 | Test Loss: 1.309 | Test Acc: 56.11%
|
| 233 |
+
2025-03-09 20:27:55,469 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 1.226 | Acc: 57.03%
|
| 234 |
+
2025-03-09 20:27:57,480 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 1.251 | Acc: 57.84%
|
| 235 |
+
2025-03-09 20:27:59,499 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 1.258 | Acc: 57.76%
|
| 236 |
+
2025-03-09 20:28:01,442 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 1.252 | Acc: 58.02%
|
| 237 |
+
2025-03-09 20:28:04,566 - train - INFO - Epoch: 47 | Test Loss: 1.253 | Test Acc: 57.28%
|
| 238 |
+
2025-03-09 20:28:04,739 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 1.394 | Acc: 53.12%
|
| 239 |
+
2025-03-09 20:28:06,693 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 1.278 | Acc: 56.41%
|
| 240 |
+
2025-03-09 20:28:08,637 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 1.268 | Acc: 57.14%
|
| 241 |
+
2025-03-09 20:28:10,711 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 1.262 | Acc: 57.50%
|
| 242 |
+
2025-03-09 20:28:13,848 - train - INFO - Epoch: 48 | Test Loss: 1.249 | Test Acc: 58.69%
|
| 243 |
+
2025-03-09 20:28:22,849 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 1.235 | Acc: 60.94%
|
| 244 |
+
2025-03-09 20:28:24,718 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 1.262 | Acc: 57.60%
|
| 245 |
+
2025-03-09 20:28:26,655 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 1.252 | Acc: 57.92%
|
| 246 |
+
2025-03-09 20:28:28,615 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 1.256 | Acc: 57.75%
|
| 247 |
+
2025-03-09 20:28:31,510 - train - INFO - Epoch: 49 | Test Loss: 1.236 | Test Acc: 59.64%
|
| 248 |
+
2025-03-09 20:28:31,684 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 1.417 | Acc: 52.34%
|
| 249 |
+
2025-03-09 20:28:33,617 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 1.226 | Acc: 58.89%
|
| 250 |
+
2025-03-09 20:28:35,516 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 1.262 | Acc: 57.55%
|
| 251 |
+
2025-03-09 20:28:37,408 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 1.257 | Acc: 57.70%
|
| 252 |
+
2025-03-09 20:28:40,309 - train - INFO - Epoch: 50 | Test Loss: 1.257 | Test Acc: 57.34%
|
| 253 |
+
2025-03-09 20:28:40,473 - train - INFO - Epoch: 51 | Batch: 0 | Loss: 1.113 | Acc: 63.28%
|
| 254 |
+
2025-03-09 20:28:42,519 - train - INFO - Epoch: 51 | Batch: 100 | Loss: 1.259 | Acc: 58.03%
|
| 255 |
+
2025-03-09 20:28:44,502 - train - INFO - Epoch: 51 | Batch: 200 | Loss: 1.264 | Acc: 57.69%
|
| 256 |
+
2025-03-09 20:28:46,631 - train - INFO - Epoch: 51 | Batch: 300 | Loss: 1.269 | Acc: 57.29%
|
| 257 |
+
2025-03-09 20:28:49,638 - train - INFO - Epoch: 51 | Test Loss: 1.281 | Test Acc: 57.03%
|
| 258 |
+
2025-03-09 20:28:49,812 - train - INFO - Epoch: 52 | Batch: 0 | Loss: 1.257 | Acc: 55.47%
|
| 259 |
+
2025-03-09 20:28:51,845 - train - INFO - Epoch: 52 | Batch: 100 | Loss: 1.262 | Acc: 57.78%
|
| 260 |
+
2025-03-09 20:28:53,837 - train - INFO - Epoch: 52 | Batch: 200 | Loss: 1.265 | Acc: 57.56%
|
| 261 |
+
2025-03-09 20:28:55,995 - train - INFO - Epoch: 52 | Batch: 300 | Loss: 1.261 | Acc: 57.63%
|
| 262 |
+
2025-03-09 20:28:59,048 - train - INFO - Epoch: 52 | Test Loss: 1.331 | Test Acc: 53.97%
|
| 263 |
+
2025-03-09 20:29:07,981 - train - INFO - Epoch: 53 | Batch: 0 | Loss: 1.271 | Acc: 53.91%
|
| 264 |
+
2025-03-09 20:29:09,928 - train - INFO - Epoch: 53 | Batch: 100 | Loss: 1.254 | Acc: 58.34%
|
| 265 |
+
2025-03-09 20:29:11,910 - train - INFO - Epoch: 53 | Batch: 200 | Loss: 1.252 | Acc: 58.11%
|
| 266 |
+
2025-03-09 20:29:13,867 - train - INFO - Epoch: 53 | Batch: 300 | Loss: 1.262 | Acc: 57.70%
|
| 267 |
+
2025-03-09 20:29:16,853 - train - INFO - Epoch: 53 | Test Loss: 1.308 | Test Acc: 57.07%
|
| 268 |
+
2025-03-09 20:29:17,032 - train - INFO - Epoch: 54 | Batch: 0 | Loss: 1.168 | Acc: 60.16%
|
| 269 |
+
2025-03-09 20:29:18,963 - train - INFO - Epoch: 54 | Batch: 100 | Loss: 1.250 | Acc: 57.74%
|
| 270 |
+
2025-03-09 20:29:20,860 - train - INFO - Epoch: 54 | Batch: 200 | Loss: 1.238 | Acc: 58.21%
|
| 271 |
+
2025-03-09 20:29:22,743 - train - INFO - Epoch: 54 | Batch: 300 | Loss: 1.241 | Acc: 58.10%
|
| 272 |
+
2025-03-09 20:29:25,703 - train - INFO - Epoch: 54 | Test Loss: 1.218 | Test Acc: 59.11%
|
| 273 |
+
2025-03-09 20:29:25,847 - train - INFO - Epoch: 55 | Batch: 0 | Loss: 1.268 | Acc: 60.16%
|
| 274 |
+
2025-03-09 20:29:27,805 - train - INFO - Epoch: 55 | Batch: 100 | Loss: 1.251 | Acc: 57.75%
|
| 275 |
+
2025-03-09 20:29:29,824 - train - INFO - Epoch: 55 | Batch: 200 | Loss: 1.233 | Acc: 58.28%
|
| 276 |
+
2025-03-09 20:29:31,744 - train - INFO - Epoch: 55 | Batch: 300 | Loss: 1.229 | Acc: 58.43%
|
| 277 |
+
2025-03-09 20:29:34,830 - train - INFO - Epoch: 55 | Test Loss: 1.157 | Test Acc: 61.97%
|
| 278 |
+
2025-03-09 20:29:35,053 - train - INFO - Epoch: 56 | Batch: 0 | Loss: 1.206 | Acc: 57.81%
|
| 279 |
+
2025-03-09 20:29:37,115 - train - INFO - Epoch: 56 | Batch: 100 | Loss: 1.258 | Acc: 57.43%
|
| 280 |
+
2025-03-09 20:29:39,236 - train - INFO - Epoch: 56 | Batch: 200 | Loss: 1.241 | Acc: 58.07%
|
| 281 |
+
2025-03-09 20:29:41,226 - train - INFO - Epoch: 56 | Batch: 300 | Loss: 1.233 | Acc: 58.52%
|
| 282 |
+
2025-03-09 20:29:44,437 - train - INFO - Epoch: 56 | Test Loss: 1.167 | Test Acc: 60.27%
|
| 283 |
+
2025-03-09 20:29:52,970 - train - INFO - Epoch: 57 | Batch: 0 | Loss: 1.121 | Acc: 60.16%
|
| 284 |
+
2025-03-09 20:29:55,013 - train - INFO - Epoch: 57 | Batch: 100 | Loss: 1.195 | Acc: 60.04%
|
| 285 |
+
2025-03-09 20:29:57,034 - train - INFO - Epoch: 57 | Batch: 200 | Loss: 1.213 | Acc: 59.17%
|
| 286 |
+
2025-03-09 20:29:58,980 - train - INFO - Epoch: 57 | Batch: 300 | Loss: 1.219 | Acc: 58.95%
|
| 287 |
+
2025-03-09 20:30:01,938 - train - INFO - Epoch: 57 | Test Loss: 1.274 | Test Acc: 57.75%
|
| 288 |
+
2025-03-09 20:30:02,116 - train - INFO - Epoch: 58 | Batch: 0 | Loss: 1.284 | Acc: 53.12%
|
| 289 |
+
2025-03-09 20:30:04,029 - train - INFO - Epoch: 58 | Batch: 100 | Loss: 1.250 | Acc: 58.62%
|
| 290 |
+
2025-03-09 20:30:06,039 - train - INFO - Epoch: 58 | Batch: 200 | Loss: 1.243 | Acc: 58.39%
|
| 291 |
+
2025-03-09 20:30:08,038 - train - INFO - Epoch: 58 | Batch: 300 | Loss: 1.240 | Acc: 58.48%
|
| 292 |
+
2025-03-09 20:30:11,145 - train - INFO - Epoch: 58 | Test Loss: 1.232 | Test Acc: 58.94%
|
| 293 |
+
2025-03-09 20:30:11,327 - train - INFO - Epoch: 59 | Batch: 0 | Loss: 1.047 | Acc: 63.28%
|
| 294 |
+
2025-03-09 20:30:13,348 - train - INFO - Epoch: 59 | Batch: 100 | Loss: 1.210 | Acc: 59.13%
|
| 295 |
+
2025-03-09 20:30:15,556 - train - INFO - Epoch: 59 | Batch: 200 | Loss: 1.208 | Acc: 59.16%
|
| 296 |
+
2025-03-09 20:30:17,594 - train - INFO - Epoch: 59 | Batch: 300 | Loss: 1.212 | Acc: 59.30%
|
| 297 |
+
2025-03-09 20:30:20,606 - train - INFO - Epoch: 59 | Test Loss: 1.165 | Test Acc: 62.08%
|
| 298 |
+
2025-03-09 20:30:20,783 - train - INFO - Epoch: 60 | Batch: 0 | Loss: 1.238 | Acc: 55.47%
|
| 299 |
+
2025-03-09 20:30:22,724 - train - INFO - Epoch: 60 | Batch: 100 | Loss: 1.218 | Acc: 58.86%
|
| 300 |
+
2025-03-09 20:30:24,630 - train - INFO - Epoch: 60 | Batch: 200 | Loss: 1.215 | Acc: 58.99%
|
| 301 |
+
2025-03-09 20:30:26,703 - train - INFO - Epoch: 60 | Batch: 300 | Loss: 1.215 | Acc: 59.11%
|
| 302 |
+
2025-03-09 20:30:29,708 - train - INFO - Epoch: 60 | Test Loss: 1.178 | Test Acc: 60.43%
|
| 303 |
+
2025-03-09 20:30:38,516 - train - INFO - Epoch: 61 | Batch: 0 | Loss: 1.265 | Acc: 58.59%
|
| 304 |
+
2025-03-09 20:30:40,669 - train - INFO - Epoch: 61 | Batch: 100 | Loss: 1.206 | Acc: 59.23%
|
| 305 |
+
2025-03-09 20:30:42,615 - train - INFO - Epoch: 61 | Batch: 200 | Loss: 1.196 | Acc: 59.98%
|
| 306 |
+
2025-03-09 20:30:44,531 - train - INFO - Epoch: 61 | Batch: 300 | Loss: 1.183 | Acc: 60.42%
|
| 307 |
+
2025-03-09 20:30:47,435 - train - INFO - Epoch: 61 | Test Loss: 1.302 | Test Acc: 57.91%
|
| 308 |
+
2025-03-09 20:30:47,597 - train - INFO - Epoch: 62 | Batch: 0 | Loss: 1.109 | Acc: 64.06%
|
| 309 |
+
2025-03-09 20:30:49,444 - train - INFO - Epoch: 62 | Batch: 100 | Loss: 1.195 | Acc: 60.26%
|
| 310 |
+
2025-03-09 20:30:51,346 - train - INFO - Epoch: 62 | Batch: 200 | Loss: 1.189 | Acc: 60.26%
|
| 311 |
+
2025-03-09 20:30:53,324 - train - INFO - Epoch: 62 | Batch: 300 | Loss: 1.198 | Acc: 59.84%
|
| 312 |
+
2025-03-09 20:30:56,425 - train - INFO - Epoch: 62 | Test Loss: 1.144 | Test Acc: 61.91%
|
| 313 |
+
2025-03-09 20:30:56,594 - train - INFO - Epoch: 63 | Batch: 0 | Loss: 1.158 | Acc: 57.81%
|
| 314 |
+
2025-03-09 20:30:58,593 - train - INFO - Epoch: 63 | Batch: 100 | Loss: 1.202 | Acc: 60.19%
|
| 315 |
+
2025-03-09 20:31:00,631 - train - INFO - Epoch: 63 | Batch: 200 | Loss: 1.201 | Acc: 60.02%
|
| 316 |
+
2025-03-09 20:31:02,630 - train - INFO - Epoch: 63 | Batch: 300 | Loss: 1.205 | Acc: 59.69%
|
| 317 |
+
2025-03-09 20:31:06,449 - train - INFO - Epoch: 63 | Test Loss: 1.192 | Test Acc: 60.56%
|
| 318 |
+
2025-03-09 20:31:06,659 - train - INFO - Epoch: 64 | Batch: 0 | Loss: 1.170 | Acc: 67.97%
|
| 319 |
+
2025-03-09 20:31:08,897 - train - INFO - Epoch: 64 | Batch: 100 | Loss: 1.166 | Acc: 60.61%
|
| 320 |
+
2025-03-09 20:31:11,221 - train - INFO - Epoch: 64 | Batch: 200 | Loss: 1.184 | Acc: 60.09%
|
| 321 |
+
2025-03-09 20:31:13,224 - train - INFO - Epoch: 64 | Batch: 300 | Loss: 1.188 | Acc: 60.04%
|
| 322 |
+
2025-03-09 20:31:16,234 - train - INFO - Epoch: 64 | Test Loss: 1.150 | Test Acc: 62.05%
|
| 323 |
+
2025-03-09 20:31:24,778 - train - INFO - Epoch: 65 | Batch: 0 | Loss: 1.002 | Acc: 61.72%
|
| 324 |
+
2025-03-09 20:31:26,799 - train - INFO - Epoch: 65 | Batch: 100 | Loss: 1.141 | Acc: 61.68%
|
| 325 |
+
2025-03-09 20:31:28,890 - train - INFO - Epoch: 65 | Batch: 200 | Loss: 1.169 | Acc: 60.47%
|
| 326 |
+
2025-03-09 20:31:30,932 - train - INFO - Epoch: 65 | Batch: 300 | Loss: 1.173 | Acc: 60.45%
|
| 327 |
+
2025-03-09 20:31:34,033 - train - INFO - Epoch: 65 | Test Loss: 1.124 | Test Acc: 62.72%
|
| 328 |
+
2025-03-09 20:31:34,227 - train - INFO - Epoch: 66 | Batch: 0 | Loss: 1.387 | Acc: 53.91%
|
| 329 |
+
2025-03-09 20:31:36,268 - train - INFO - Epoch: 66 | Batch: 100 | Loss: 1.168 | Acc: 61.05%
|
| 330 |
+
2025-03-09 20:31:38,189 - train - INFO - Epoch: 66 | Batch: 200 | Loss: 1.175 | Acc: 61.00%
|
| 331 |
+
2025-03-09 20:31:40,070 - train - INFO - Epoch: 66 | Batch: 300 | Loss: 1.175 | Acc: 60.98%
|
| 332 |
+
2025-03-09 20:31:42,970 - train - INFO - Epoch: 66 | Test Loss: 1.184 | Test Acc: 61.65%
|
| 333 |
+
2025-03-09 20:31:43,120 - train - INFO - Epoch: 67 | Batch: 0 | Loss: 1.150 | Acc: 61.72%
|
| 334 |
+
2025-03-09 20:31:45,207 - train - INFO - Epoch: 67 | Batch: 100 | Loss: 1.149 | Acc: 61.84%
|
| 335 |
+
2025-03-09 20:31:47,200 - train - INFO - Epoch: 67 | Batch: 200 | Loss: 1.171 | Acc: 61.07%
|
| 336 |
+
2025-03-09 20:31:49,096 - train - INFO - Epoch: 67 | Batch: 300 | Loss: 1.165 | Acc: 61.19%
|
| 337 |
+
2025-03-09 20:31:52,455 - train - INFO - Epoch: 67 | Test Loss: 1.216 | Test Acc: 60.41%
|
| 338 |
+
2025-03-09 20:31:52,629 - train - INFO - Epoch: 68 | Batch: 0 | Loss: 1.103 | Acc: 61.72%
|
| 339 |
+
2025-03-09 20:31:54,772 - train - INFO - Epoch: 68 | Batch: 100 | Loss: 1.161 | Acc: 61.22%
|
| 340 |
+
2025-03-09 20:31:56,740 - train - INFO - Epoch: 68 | Batch: 200 | Loss: 1.154 | Acc: 61.48%
|
| 341 |
+
2025-03-09 20:31:59,231 - train - INFO - Epoch: 68 | Batch: 300 | Loss: 1.162 | Acc: 61.29%
|
| 342 |
+
2025-03-09 20:32:02,617 - train - INFO - Epoch: 68 | Test Loss: 1.161 | Test Acc: 61.05%
|
| 343 |
+
2025-03-09 20:32:10,865 - train - INFO - Epoch: 69 | Batch: 0 | Loss: 1.238 | Acc: 55.47%
|
| 344 |
+
2025-03-09 20:32:12,884 - train - INFO - Epoch: 69 | Batch: 100 | Loss: 1.173 | Acc: 60.76%
|
| 345 |
+
2025-03-09 20:32:14,815 - train - INFO - Epoch: 69 | Batch: 200 | Loss: 1.175 | Acc: 60.64%
|
| 346 |
+
2025-03-09 20:32:16,725 - train - INFO - Epoch: 69 | Batch: 300 | Loss: 1.183 | Acc: 60.28%
|
| 347 |
+
2025-03-09 20:32:19,765 - train - INFO - Epoch: 69 | Test Loss: 1.230 | Test Acc: 58.66%
|
| 348 |
+
2025-03-09 20:32:19,932 - train - INFO - Epoch: 70 | Batch: 0 | Loss: 1.389 | Acc: 54.69%
|
| 349 |
+
2025-03-09 20:32:22,033 - train - INFO - Epoch: 70 | Batch: 100 | Loss: 1.158 | Acc: 61.07%
|
| 350 |
+
2025-03-09 20:32:24,089 - train - INFO - Epoch: 70 | Batch: 200 | Loss: 1.157 | Acc: 60.95%
|
| 351 |
+
2025-03-09 20:32:26,117 - train - INFO - Epoch: 70 | Batch: 300 | Loss: 1.166 | Acc: 60.71%
|
| 352 |
+
2025-03-09 20:32:29,298 - train - INFO - Epoch: 70 | Test Loss: 1.226 | Test Acc: 59.05%
|
| 353 |
+
2025-03-09 20:32:29,467 - train - INFO - Epoch: 71 | Batch: 0 | Loss: 1.339 | Acc: 55.47%
|
| 354 |
+
2025-03-09 20:32:31,438 - train - INFO - Epoch: 71 | Batch: 100 | Loss: 1.167 | Acc: 60.74%
|
| 355 |
+
2025-03-09 20:32:33,454 - train - INFO - Epoch: 71 | Batch: 200 | Loss: 1.162 | Acc: 61.08%
|
| 356 |
+
2025-03-09 20:32:35,462 - train - INFO - Epoch: 71 | Batch: 300 | Loss: 1.162 | Acc: 61.09%
|
| 357 |
+
2025-03-09 20:32:38,625 - train - INFO - Epoch: 71 | Test Loss: 1.196 | Test Acc: 60.13%
|
| 358 |
+
2025-03-09 20:32:38,825 - train - INFO - Epoch: 72 | Batch: 0 | Loss: 1.065 | Acc: 67.97%
|
| 359 |
+
2025-03-09 20:32:41,013 - train - INFO - Epoch: 72 | Batch: 100 | Loss: 1.153 | Acc: 61.68%
|
| 360 |
+
2025-03-09 20:32:43,148 - train - INFO - Epoch: 72 | Batch: 200 | Loss: 1.139 | Acc: 62.09%
|
| 361 |
+
2025-03-09 20:32:45,102 - train - INFO - Epoch: 72 | Batch: 300 | Loss: 1.142 | Acc: 61.86%
|
| 362 |
+
2025-03-09 20:32:48,052 - train - INFO - Epoch: 72 | Test Loss: 1.178 | Test Acc: 60.15%
|
| 363 |
+
2025-03-09 20:32:56,719 - train - INFO - Epoch: 73 | Batch: 0 | Loss: 1.149 | Acc: 57.81%
|
| 364 |
+
2025-03-09 20:32:58,840 - train - INFO - Epoch: 73 | Batch: 100 | Loss: 1.124 | Acc: 62.13%
|
| 365 |
+
2025-03-09 20:33:01,060 - train - INFO - Epoch: 73 | Batch: 200 | Loss: 1.124 | Acc: 62.22%
|
| 366 |
+
2025-03-09 20:33:02,959 - train - INFO - Epoch: 73 | Batch: 300 | Loss: 1.124 | Acc: 62.25%
|
| 367 |
+
2025-03-09 20:33:06,081 - train - INFO - Epoch: 73 | Test Loss: 1.108 | Test Acc: 62.58%
|
| 368 |
+
2025-03-09 20:33:06,242 - train - INFO - Epoch: 74 | Batch: 0 | Loss: 0.976 | Acc: 64.06%
|
| 369 |
+
2025-03-09 20:33:08,117 - train - INFO - Epoch: 74 | Batch: 100 | Loss: 1.129 | Acc: 61.83%
|
| 370 |
+
2025-03-09 20:33:10,070 - train - INFO - Epoch: 74 | Batch: 200 | Loss: 1.141 | Acc: 61.62%
|
| 371 |
+
2025-03-09 20:33:12,009 - train - INFO - Epoch: 74 | Batch: 300 | Loss: 1.139 | Acc: 61.84%
|
| 372 |
+
2025-03-09 20:33:14,980 - train - INFO - Epoch: 74 | Test Loss: 1.232 | Test Acc: 57.82%
|
| 373 |
+
2025-03-09 20:33:15,160 - train - INFO - Epoch: 75 | Batch: 0 | Loss: 1.104 | Acc: 60.94%
|
| 374 |
+
2025-03-09 20:33:17,074 - train - INFO - Epoch: 75 | Batch: 100 | Loss: 1.153 | Acc: 61.48%
|
| 375 |
+
2025-03-09 20:33:18,961 - train - INFO - Epoch: 75 | Batch: 200 | Loss: 1.149 | Acc: 61.54%
|
| 376 |
+
2025-03-09 20:33:20,780 - train - INFO - Epoch: 75 | Batch: 300 | Loss: 1.141 | Acc: 61.77%
|
| 377 |
+
2025-03-09 20:33:23,699 - train - INFO - Epoch: 75 | Test Loss: 1.157 | Test Acc: 61.00%
|
| 378 |
+
2025-03-09 20:33:23,864 - train - INFO - Epoch: 76 | Batch: 0 | Loss: 1.193 | Acc: 60.94%
|
| 379 |
+
2025-03-09 20:33:25,763 - train - INFO - Epoch: 76 | Batch: 100 | Loss: 1.147 | Acc: 61.41%
|
| 380 |
+
2025-03-09 20:33:27,728 - train - INFO - Epoch: 76 | Batch: 200 | Loss: 1.138 | Acc: 61.87%
|
| 381 |
+
2025-03-09 20:33:29,731 - train - INFO - Epoch: 76 | Batch: 300 | Loss: 1.143 | Acc: 61.68%
|
| 382 |
+
2025-03-09 20:33:32,727 - train - INFO - Epoch: 76 | Test Loss: 1.101 | Test Acc: 63.51%
|
| 383 |
+
2025-03-09 20:33:41,051 - train - INFO - Epoch: 77 | Batch: 0 | Loss: 1.110 | Acc: 59.38%
|
| 384 |
+
2025-03-09 20:33:42,990 - train - INFO - Epoch: 77 | Batch: 100 | Loss: 1.108 | Acc: 62.87%
|
| 385 |
+
2025-03-09 20:33:44,886 - train - INFO - Epoch: 77 | Batch: 200 | Loss: 1.115 | Acc: 62.29%
|
| 386 |
+
2025-03-09 20:33:46,815 - train - INFO - Epoch: 77 | Batch: 300 | Loss: 1.119 | Acc: 62.45%
|
| 387 |
+
2025-03-09 20:33:49,764 - train - INFO - Epoch: 77 | Test Loss: 1.099 | Test Acc: 63.53%
|
| 388 |
+
2025-03-09 20:33:49,916 - train - INFO - Epoch: 78 | Batch: 0 | Loss: 1.111 | Acc: 64.84%
|
| 389 |
+
2025-03-09 20:33:51,904 - train - INFO - Epoch: 78 | Batch: 100 | Loss: 1.127 | Acc: 62.42%
|
| 390 |
+
2025-03-09 20:33:53,862 - train - INFO - Epoch: 78 | Batch: 200 | Loss: 1.127 | Acc: 62.17%
|
| 391 |
+
2025-03-09 20:33:55,835 - train - INFO - Epoch: 78 | Batch: 300 | Loss: 1.125 | Acc: 62.13%
|
| 392 |
+
2025-03-09 20:33:58,919 - train - INFO - Epoch: 78 | Test Loss: 1.075 | Test Acc: 63.41%
|
| 393 |
+
2025-03-09 20:33:59,092 - train - INFO - Epoch: 79 | Batch: 0 | Loss: 0.990 | Acc: 67.19%
|
| 394 |
+
2025-03-09 20:34:01,066 - train - INFO - Epoch: 79 | Batch: 100 | Loss: 1.107 | Acc: 62.40%
|
| 395 |
+
2025-03-09 20:34:03,169 - train - INFO - Epoch: 79 | Batch: 200 | Loss: 1.105 | Acc: 62.84%
|
| 396 |
+
2025-03-09 20:34:05,127 - train - INFO - Epoch: 79 | Batch: 300 | Loss: 1.102 | Acc: 63.05%
|
| 397 |
+
2025-03-09 20:34:08,053 - train - INFO - Epoch: 79 | Test Loss: 1.190 | Test Acc: 60.83%
|
| 398 |
+
2025-03-09 20:34:08,244 - train - INFO - Epoch: 80 | Batch: 0 | Loss: 1.227 | Acc: 60.16%
|
| 399 |
+
2025-03-09 20:34:10,084 - train - INFO - Epoch: 80 | Batch: 100 | Loss: 1.120 | Acc: 62.61%
|
| 400 |
+
2025-03-09 20:34:11,957 - train - INFO - Epoch: 80 | Batch: 200 | Loss: 1.102 | Acc: 62.97%
|
| 401 |
+
2025-03-09 20:34:13,864 - train - INFO - Epoch: 80 | Batch: 300 | Loss: 1.109 | Acc: 62.86%
|
| 402 |
+
2025-03-09 20:34:16,933 - train - INFO - Epoch: 80 | Test Loss: 1.065 | Test Acc: 64.60%
|
| 403 |
+
2025-03-09 20:34:25,319 - train - INFO - Epoch: 81 | Batch: 0 | Loss: 1.093 | Acc: 60.16%
|
| 404 |
+
2025-03-09 20:34:27,214 - train - INFO - Epoch: 81 | Batch: 100 | Loss: 1.133 | Acc: 62.27%
|
| 405 |
+
2025-03-09 20:34:29,084 - train - INFO - Epoch: 81 | Batch: 200 | Loss: 1.107 | Acc: 63.35%
|
| 406 |
+
2025-03-09 20:34:31,102 - train - INFO - Epoch: 81 | Batch: 300 | Loss: 1.102 | Acc: 63.25%
|
| 407 |
+
2025-03-09 20:34:34,224 - train - INFO - Epoch: 81 | Test Loss: 1.085 | Test Acc: 63.63%
|
| 408 |
+
2025-03-09 20:34:34,386 - train - INFO - Epoch: 82 | Batch: 0 | Loss: 1.183 | Acc: 58.59%
|
| 409 |
+
2025-03-09 20:34:36,276 - train - INFO - Epoch: 82 | Batch: 100 | Loss: 1.093 | Acc: 63.10%
|
| 410 |
+
2025-03-09 20:34:38,370 - train - INFO - Epoch: 82 | Batch: 200 | Loss: 1.084 | Acc: 63.45%
|
| 411 |
+
2025-03-09 20:34:40,329 - train - INFO - Epoch: 82 | Batch: 300 | Loss: 1.083 | Acc: 63.66%
|
| 412 |
+
2025-03-09 20:34:43,386 - train - INFO - Epoch: 82 | Test Loss: 1.124 | Test Acc: 62.13%
|
| 413 |
+
2025-03-09 20:34:43,538 - train - INFO - Epoch: 83 | Batch: 0 | Loss: 1.178 | Acc: 57.81%
|
| 414 |
+
2025-03-09 20:34:45,536 - train - INFO - Epoch: 83 | Batch: 100 | Loss: 1.103 | Acc: 63.26%
|
| 415 |
+
2025-03-09 20:34:47,538 - train - INFO - Epoch: 83 | Batch: 200 | Loss: 1.090 | Acc: 63.46%
|
| 416 |
+
2025-03-09 20:34:49,608 - train - INFO - Epoch: 83 | Batch: 300 | Loss: 1.091 | Acc: 63.37%
|
| 417 |
+
2025-03-09 20:34:52,626 - train - INFO - Epoch: 83 | Test Loss: 1.165 | Test Acc: 62.11%
|
| 418 |
+
2025-03-09 20:34:52,802 - train - INFO - Epoch: 84 | Batch: 0 | Loss: 1.103 | Acc: 67.19%
|
| 419 |
+
2025-03-09 20:34:54,966 - train - INFO - Epoch: 84 | Batch: 100 | Loss: 1.115 | Acc: 62.58%
|
| 420 |
+
2025-03-09 20:34:57,031 - train - INFO - Epoch: 84 | Batch: 200 | Loss: 1.091 | Acc: 63.27%
|
| 421 |
+
2025-03-09 20:34:59,134 - train - INFO - Epoch: 84 | Batch: 300 | Loss: 1.097 | Acc: 63.19%
|
| 422 |
+
2025-03-09 20:35:02,352 - train - INFO - Epoch: 84 | Test Loss: 1.085 | Test Acc: 63.95%
|
| 423 |
+
2025-03-09 20:35:10,685 - train - INFO - Epoch: 85 | Batch: 0 | Loss: 1.311 | Acc: 59.38%
|
| 424 |
+
2025-03-09 20:35:12,612 - train - INFO - Epoch: 85 | Batch: 100 | Loss: 1.084 | Acc: 63.76%
|
| 425 |
+
2025-03-09 20:35:14,479 - train - INFO - Epoch: 85 | Batch: 200 | Loss: 1.078 | Acc: 64.00%
|
| 426 |
+
2025-03-09 20:35:16,456 - train - INFO - Epoch: 85 | Batch: 300 | Loss: 1.092 | Acc: 63.53%
|
| 427 |
+
2025-03-09 20:35:19,502 - train - INFO - Epoch: 85 | Test Loss: 1.063 | Test Acc: 63.69%
|
| 428 |
+
2025-03-09 20:35:19,675 - train - INFO - Epoch: 86 | Batch: 0 | Loss: 0.918 | Acc: 71.88%
|
| 429 |
+
2025-03-09 20:35:21,627 - train - INFO - Epoch: 86 | Batch: 100 | Loss: 1.078 | Acc: 63.58%
|
| 430 |
+
2025-03-09 20:35:23,603 - train - INFO - Epoch: 86 | Batch: 200 | Loss: 1.080 | Acc: 63.76%
|
| 431 |
+
2025-03-09 20:35:25,467 - train - INFO - Epoch: 86 | Batch: 300 | Loss: 1.081 | Acc: 63.70%
|
| 432 |
+
2025-03-09 20:35:28,448 - train - INFO - Epoch: 86 | Test Loss: 1.040 | Test Acc: 65.00%
|
| 433 |
+
2025-03-09 20:35:28,618 - train - INFO - Epoch: 87 | Batch: 0 | Loss: 1.037 | Acc: 64.06%
|
| 434 |
+
2025-03-09 20:35:30,607 - train - INFO - Epoch: 87 | Batch: 100 | Loss: 1.045 | Acc: 64.91%
|
| 435 |
+
2025-03-09 20:35:32,555 - train - INFO - Epoch: 87 | Batch: 200 | Loss: 1.054 | Acc: 64.58%
|
| 436 |
+
2025-03-09 20:35:34,461 - train - INFO - Epoch: 87 | Batch: 300 | Loss: 1.055 | Acc: 64.54%
|
| 437 |
+
2025-03-09 20:35:37,534 - train - INFO - Epoch: 87 | Test Loss: 1.117 | Test Acc: 63.18%
|
| 438 |
+
2025-03-09 20:35:37,728 - train - INFO - Epoch: 88 | Batch: 0 | Loss: 1.114 | Acc: 64.06%
|
| 439 |
+
2025-03-09 20:35:39,667 - train - INFO - Epoch: 88 | Batch: 100 | Loss: 1.081 | Acc: 63.65%
|
| 440 |
+
2025-03-09 20:35:41,724 - train - INFO - Epoch: 88 | Batch: 200 | Loss: 1.089 | Acc: 63.46%
|
| 441 |
+
2025-03-09 20:35:43,693 - train - INFO - Epoch: 88 | Batch: 300 | Loss: 1.080 | Acc: 63.89%
|
| 442 |
+
2025-03-09 20:35:46,704 - train - INFO - Epoch: 88 | Test Loss: 1.116 | Test Acc: 62.02%
|
| 443 |
+
2025-03-09 20:35:55,157 - train - INFO - Epoch: 89 | Batch: 0 | Loss: 1.281 | Acc: 59.38%
|
| 444 |
+
2025-03-09 20:35:57,082 - train - INFO - Epoch: 89 | Batch: 100 | Loss: 1.027 | Acc: 65.76%
|
| 445 |
+
2025-03-09 20:35:59,072 - train - INFO - Epoch: 89 | Batch: 200 | Loss: 1.056 | Acc: 64.67%
|
| 446 |
+
2025-03-09 20:36:00,922 - train - INFO - Epoch: 89 | Batch: 300 | Loss: 1.067 | Acc: 64.10%
|
| 447 |
+
2025-03-09 20:36:03,799 - train - INFO - Epoch: 89 | Test Loss: 1.044 | Test Acc: 64.42%
|
| 448 |
+
2025-03-09 20:36:03,955 - train - INFO - Epoch: 90 | Batch: 0 | Loss: 1.228 | Acc: 53.91%
|
| 449 |
+
2025-03-09 20:36:05,961 - train - INFO - Epoch: 90 | Batch: 100 | Loss: 1.043 | Acc: 64.84%
|
| 450 |
+
2025-03-09 20:36:48,800 - train - INFO - Epoch: 90 | Batch: 200 | Loss: 1.040 | Acc: 64.89%
|
| 451 |
+
2025-03-09 20:36:50,792 - train - INFO - Epoch: 90 | Batch: 300 | Loss: 1.049 | Acc: 64.79%
|
| 452 |
+
2025-03-09 20:36:53,914 - train - INFO - Epoch: 90 | Test Loss: 1.150 | Test Acc: 61.58%
|
| 453 |
+
2025-03-09 20:36:54,094 - train - INFO - Epoch: 91 | Batch: 0 | Loss: 1.127 | Acc: 59.38%
|
| 454 |
+
2025-03-09 20:36:56,089 - train - INFO - Epoch: 91 | Batch: 100 | Loss: 1.053 | Acc: 64.09%
|
| 455 |
+
2025-03-09 20:36:58,254 - train - INFO - Epoch: 91 | Batch: 200 | Loss: 1.043 | Acc: 64.86%
|
| 456 |
+
2025-03-09 20:37:00,272 - train - INFO - Epoch: 91 | Batch: 300 | Loss: 1.049 | Acc: 64.74%
|
| 457 |
+
2025-03-09 20:37:50,812 - train - INFO - Epoch: 91 | Test Loss: 1.092 | Test Acc: 63.34%
|
| 458 |
+
2025-03-09 20:37:50,972 - train - INFO - Epoch: 92 | Batch: 0 | Loss: 1.025 | Acc: 66.41%
|
| 459 |
+
2025-03-09 20:37:52,835 - train - INFO - Epoch: 92 | Batch: 100 | Loss: 1.039 | Acc: 64.90%
|
| 460 |
+
2025-03-09 20:37:54,790 - train - INFO - Epoch: 92 | Batch: 200 | Loss: 1.041 | Acc: 64.68%
|
| 461 |
+
2025-03-09 20:37:56,666 - train - INFO - Epoch: 92 | Batch: 300 | Loss: 1.037 | Acc: 64.84%
|
| 462 |
+
2025-03-09 20:37:59,681 - train - INFO - Epoch: 92 | Test Loss: 1.112 | Test Acc: 62.78%
|
| 463 |
+
2025-03-09 20:38:53,132 - train - INFO - Epoch: 93 | Batch: 0 | Loss: 1.193 | Acc: 56.25%
|
| 464 |
+
2025-03-09 20:38:55,019 - train - INFO - Epoch: 93 | Batch: 100 | Loss: 1.057 | Acc: 64.53%
|
| 465 |
+
2025-03-09 20:38:56,952 - train - INFO - Epoch: 93 | Batch: 200 | Loss: 1.046 | Acc: 65.06%
|
| 466 |
+
2025-03-09 20:38:58,885 - train - INFO - Epoch: 93 | Batch: 300 | Loss: 1.044 | Acc: 65.08%
|
| 467 |
+
2025-03-09 20:39:02,028 - train - INFO - Epoch: 93 | Test Loss: 1.024 | Test Acc: 65.24%
|
| 468 |
+
2025-03-09 20:39:02,185 - train - INFO - Epoch: 94 | Batch: 0 | Loss: 1.010 | Acc: 64.06%
|
| 469 |
+
2025-03-09 20:39:04,323 - train - INFO - Epoch: 94 | Batch: 100 | Loss: 1.023 | Acc: 65.28%
|
| 470 |
+
2025-03-09 20:39:49,435 - train - INFO - Epoch: 94 | Batch: 200 | Loss: 1.023 | Acc: 65.44%
|
| 471 |
+
2025-03-09 20:39:51,309 - train - INFO - Epoch: 94 | Batch: 300 | Loss: 1.027 | Acc: 65.52%
|
| 472 |
+
2025-03-09 20:39:54,281 - train - INFO - Epoch: 94 | Test Loss: 1.013 | Test Acc: 67.01%
|
| 473 |
+
2025-03-09 20:39:54,472 - train - INFO - Epoch: 95 | Batch: 0 | Loss: 1.236 | Acc: 59.38%
|
| 474 |
+
2025-03-09 20:39:56,452 - train - INFO - Epoch: 95 | Batch: 100 | Loss: 1.011 | Acc: 65.98%
|
| 475 |
+
2025-03-09 20:39:58,416 - train - INFO - Epoch: 95 | Batch: 200 | Loss: 1.012 | Acc: 65.91%
|
| 476 |
+
2025-03-09 20:40:48,850 - train - INFO - Epoch: 95 | Batch: 300 | Loss: 1.019 | Acc: 65.65%
|
| 477 |
+
2025-03-09 20:40:51,907 - train - INFO - Epoch: 95 | Test Loss: 0.994 | Test Acc: 66.97%
|
| 478 |
+
2025-03-09 20:40:52,057 - train - INFO - Epoch: 96 | Batch: 0 | Loss: 0.973 | Acc: 67.97%
|
| 479 |
+
2025-03-09 20:40:54,040 - train - INFO - Epoch: 96 | Batch: 100 | Loss: 1.040 | Acc: 65.18%
|
| 480 |
+
2025-03-09 20:40:56,141 - train - INFO - Epoch: 96 | Batch: 200 | Loss: 1.035 | Acc: 64.95%
|
| 481 |
+
2025-03-09 20:40:58,151 - train - INFO - Epoch: 96 | Batch: 300 | Loss: 1.021 | Acc: 65.43%
|
| 482 |
+
2025-03-09 20:41:48,845 - train - INFO - Epoch: 96 | Test Loss: 1.065 | Test Acc: 64.38%
|
| 483 |
+
2025-03-09 20:41:57,437 - train - INFO - Epoch: 97 | Batch: 0 | Loss: 0.995 | Acc: 66.41%
|
| 484 |
+
2025-03-09 20:41:59,481 - train - INFO - Epoch: 97 | Batch: 100 | Loss: 1.012 | Acc: 66.12%
|
| 485 |
+
2025-03-09 20:42:01,488 - train - INFO - Epoch: 97 | Batch: 200 | Loss: 0.995 | Acc: 66.64%
|
| 486 |
+
2025-03-09 20:42:03,533 - train - INFO - Epoch: 97 | Batch: 300 | Loss: 1.014 | Acc: 66.01%
|
| 487 |
+
2025-03-09 20:42:06,717 - train - INFO - Epoch: 97 | Test Loss: 1.043 | Test Acc: 64.98%
|
| 488 |
+
2025-03-09 20:42:06,871 - train - INFO - Epoch: 98 | Batch: 0 | Loss: 1.299 | Acc: 58.59%
|
| 489 |
+
2025-03-09 20:42:09,116 - train - INFO - Epoch: 98 | Batch: 100 | Loss: 0.971 | Acc: 67.10%
|
| 490 |
+
2025-03-09 20:42:50,612 - train - INFO - Epoch: 98 | Batch: 200 | Loss: 0.997 | Acc: 66.37%
|
| 491 |
+
2025-03-09 20:42:52,541 - train - INFO - Epoch: 98 | Batch: 300 | Loss: 1.001 | Acc: 66.31%
|
| 492 |
+
2025-03-09 20:42:55,458 - train - INFO - Epoch: 98 | Test Loss: 1.017 | Test Acc: 65.77%
|
| 493 |
+
2025-03-09 20:42:55,635 - train - INFO - Epoch: 99 | Batch: 0 | Loss: 1.074 | Acc: 66.41%
|
| 494 |
+
2025-03-09 20:42:57,563 - train - INFO - Epoch: 99 | Batch: 100 | Loss: 1.027 | Acc: 65.38%
|
| 495 |
+
2025-03-09 20:42:59,650 - train - INFO - Epoch: 99 | Batch: 200 | Loss: 1.013 | Acc: 66.04%
|
| 496 |
+
2025-03-09 20:43:49,927 - train - INFO - Epoch: 99 | Batch: 300 | Loss: 1.010 | Acc: 66.04%
|
| 497 |
+
2025-03-09 20:43:53,133 - train - INFO - Epoch: 99 | Test Loss: 1.013 | Test Acc: 66.35%
|
| 498 |
+
2025-03-09 20:43:53,291 - train - INFO - Epoch: 100 | Batch: 0 | Loss: 0.778 | Acc: 76.56%
|
| 499 |
+
2025-03-09 20:43:55,285 - train - INFO - Epoch: 100 | Batch: 100 | Loss: 0.999 | Acc: 66.10%
|
| 500 |
+
2025-03-09 20:43:57,360 - train - INFO - Epoch: 100 | Batch: 200 | Loss: 0.995 | Acc: 66.41%
|
| 501 |
+
2025-03-09 20:43:59,416 - train - INFO - Epoch: 100 | Batch: 300 | Loss: 0.994 | Acc: 66.56%
|
| 502 |
+
2025-03-09 20:44:49,933 - train - INFO - Epoch: 100 | Test Loss: 1.009 | Test Acc: 65.66%
|
| 503 |
+
2025-03-09 20:44:58,423 - train - INFO - 训练完成!
|
Image/AlexNet/code/model.py
ADDED
|
@@ -0,0 +1,81 @@
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|
| 1 |
+
'''
|
| 2 |
+
AlexNet in Pytorch
|
| 3 |
+
'''
|
| 4 |
+
|
| 5 |
+
import torch
|
| 6 |
+
import torch.nn as nn
|
| 7 |
+
|
| 8 |
+
class AlexNet(nn.Module): # 训练 ALexNet
|
| 9 |
+
'''
|
| 10 |
+
AlexNet模型
|
| 11 |
+
'''
|
| 12 |
+
def __init__(self,num_classes=10):
|
| 13 |
+
super(AlexNet,self).__init__()
|
| 14 |
+
# 五个卷积层 输入 32 * 32 * 3
|
| 15 |
+
self.conv1 = nn.Sequential(
|
| 16 |
+
nn.Conv2d(in_channels=3, out_channels=6, kernel_size=3, stride=1, padding=1), # (32-3+2)/1+1 = 32
|
| 17 |
+
nn.ReLU(),
|
| 18 |
+
nn.MaxPool2d(kernel_size=2, stride=2, padding=0) # (32-2)/2+1 = 16
|
| 19 |
+
)
|
| 20 |
+
self.conv2 = nn.Sequential( # 输入 16 * 16 * 6
|
| 21 |
+
nn.Conv2d(in_channels=6, out_channels=16, kernel_size=3, stride=1, padding=1), # (16-3+2)/1+1 = 16
|
| 22 |
+
nn.ReLU(),
|
| 23 |
+
nn.MaxPool2d(kernel_size=2, stride=2, padding=0) # (16-2)/2+1 = 8
|
| 24 |
+
)
|
| 25 |
+
self.conv3 = nn.Sequential( # 输入 8 * 8 * 16
|
| 26 |
+
nn.Conv2d(in_channels=16, out_channels=32, kernel_size=3, stride=1, padding=1), # (8-3+2)/1+1 = 8
|
| 27 |
+
nn.ReLU(),
|
| 28 |
+
nn.MaxPool2d(kernel_size=2, stride=2, padding=0) # (8-2)/2+1 = 4
|
| 29 |
+
)
|
| 30 |
+
self.conv4 = nn.Sequential( # 输入 4 * 4 * 64
|
| 31 |
+
nn.Conv2d(in_channels=32, out_channels=64, kernel_size=3, stride=1, padding=1), # (4-3+2)/1+1 = 4
|
| 32 |
+
nn.ReLU(),
|
| 33 |
+
nn.MaxPool2d(kernel_size=2, stride=2, padding=0) # (4-2)/2+1 = 2
|
| 34 |
+
)
|
| 35 |
+
self.conv5 = nn.Sequential( # 输入 2 * 2 * 128
|
| 36 |
+
nn.Conv2d(in_channels=64, out_channels=128, kernel_size=3, stride=1, padding=1),# (2-3+2)/1+1 = 2
|
| 37 |
+
nn.ReLU(),
|
| 38 |
+
nn.MaxPool2d(kernel_size=2, stride=2, padding=0) # (2-2)/2+1 = 1
|
| 39 |
+
) # 最后一层卷积层，输出 1 * 1 * 128
|
| 40 |
+
# 全连接层
|
| 41 |
+
self.dense = nn.Sequential(
|
| 42 |
+
nn.Linear(128,120),
|
| 43 |
+
nn.ReLU(),
|
| 44 |
+
nn.Linear(120,84),
|
| 45 |
+
nn.ReLU(),
|
| 46 |
+
nn.Linear(84,num_classes)
|
| 47 |
+
)
|
| 48 |
+
|
| 49 |
+
# 初始化权重
|
| 50 |
+
self._initialize_weights()
|
| 51 |
+
|
| 52 |
+
def forward(self,x):
|
| 53 |
+
x = self.conv1(x)
|
| 54 |
+
x = self.conv2(x)
|
| 55 |
+
x = self.conv3(x)
|
| 56 |
+
x = self.conv4(x)
|
| 57 |
+
x = self.conv5(x)
|
| 58 |
+
x = x.view(x.size()[0],-1)
|
| 59 |
+
x = self.dense(x)
|
| 60 |
+
return x
|
| 61 |
+
|
| 62 |
+
def _initialize_weights(self):
|
| 63 |
+
for m in self.modules():
|
| 64 |
+
if isinstance(m, nn.Conv2d):
|
| 65 |
+
nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu')
|
| 66 |
+
if m.bias is not None:
|
| 67 |
+
nn.init.constant_(m.bias, 0)
|
| 68 |
+
elif isinstance(m, nn.Linear):
|
| 69 |
+
nn.init.normal_(m.weight, 0, 0.01)
|
| 70 |
+
if m.bias is not None:
|
| 71 |
+
nn.init.constant_(m.bias, 0)
|
| 72 |
+
|
| 73 |
+
def test():
|
| 74 |
+
net = AlexNet()
|
| 75 |
+
x = torch.randn(2,3,32,32)
|
| 76 |
+
y = net(x)
|
| 77 |
+
print(y.size())
|
| 78 |
+
from torchinfo import summary
|
| 79 |
+
device = 'cuda' if torch.cuda.is_available() else 'cpu'
|
| 80 |
+
net = net.to(device)
|
| 81 |
+
summary(net,(3,32,32))
|
Image/AlexNet/code/train.log
ADDED
|
@@ -0,0 +1,503 @@
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| 1 |
+
2025-03-09 19:50:57,307 - train - INFO - 开始训练 alexnet
|
| 2 |
+
2025-03-09 19:50:57,308 - train - INFO - 总轮数: 100, 学习率: 0.1, 设备: cuda:2
|
| 3 |
+
2025-03-09 19:50:57,941 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.303 | Acc: 9.38%
|
| 4 |
+
2025-03-09 19:50:59,844 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.300 | Acc: 10.04%
|
| 5 |
+
2025-03-09 19:51:01,901 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 2.227 | Acc: 13.40%
|
| 6 |
+
2025-03-09 19:51:03,899 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 2.162 | Acc: 15.09%
|
| 7 |
+
2025-03-09 19:51:07,107 - train - INFO - Epoch: 1 | Test Loss: 1.896 | Test Acc: 19.86%
|
| 8 |
+
2025-03-09 19:51:07,264 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 1.888 | Acc: 16.41%
|
| 9 |
+
2025-03-09 19:51:09,345 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.929 | Acc: 21.02%
|
| 10 |
+
2025-03-09 19:51:11,452 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.917 | Acc: 21.42%
|
| 11 |
+
2025-03-09 19:51:13,434 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.911 | Acc: 21.87%
|
| 12 |
+
2025-03-09 19:51:16,541 - train - INFO - Epoch: 2 | Test Loss: 1.840 | Test Acc: 25.23%
|
| 13 |
+
2025-03-09 19:51:16,704 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 1.938 | Acc: 17.97%
|
| 14 |
+
2025-03-09 19:51:18,746 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 1.837 | Acc: 26.49%
|
| 15 |
+
2025-03-09 19:51:20,674 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 1.812 | Acc: 27.79%
|
| 16 |
+
2025-03-09 19:51:22,577 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 1.798 | Acc: 28.75%
|
| 17 |
+
2025-03-09 19:51:25,741 - train - INFO - Epoch: 3 | Test Loss: 1.613 | Test Acc: 38.13%
|
| 18 |
+
2025-03-09 19:51:25,920 - train - INFO - Epoch: 4 | Batch: 0 | Loss: 1.613 | Acc: 32.81%
|
| 19 |
+
2025-03-09 19:51:28,016 - train - INFO - Epoch: 4 | Batch: 100 | Loss: 1.683 | Acc: 34.67%
|
| 20 |
+
2025-03-09 19:51:30,038 - train - INFO - Epoch: 4 | Batch: 200 | Loss: 1.668 | Acc: 35.46%
|
| 21 |
+
2025-03-09 19:51:32,131 - train - INFO - Epoch: 4 | Batch: 300 | Loss: 1.675 | Acc: 36.00%
|
| 22 |
+
2025-03-09 19:51:35,398 - train - INFO - Epoch: 4 | Test Loss: 1.624 | Test Acc: 39.42%
|
| 23 |
+
2025-03-09 19:51:43,699 - train - INFO - Epoch: 5 | Batch: 0 | Loss: 1.684 | Acc: 39.06%
|
| 24 |
+
2025-03-09 19:51:45,670 - train - INFO - Epoch: 5 | Batch: 100 | Loss: 1.638 | Acc: 39.09%
|
| 25 |
+
2025-03-09 19:51:47,561 - train - INFO - Epoch: 5 | Batch: 200 | Loss: 1.623 | Acc: 39.87%
|
| 26 |
+
2025-03-09 19:51:49,399 - train - INFO - Epoch: 5 | Batch: 300 | Loss: 1.614 | Acc: 40.60%
|
| 27 |
+
2025-03-09 19:51:52,227 - train - INFO - Epoch: 5 | Test Loss: 1.487 | Test Acc: 45.98%
|
| 28 |
+
2025-03-09 19:51:52,392 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 1.565 | Acc: 45.31%
|
| 29 |
+
2025-03-09 19:51:54,259 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 1.550 | Acc: 44.09%
|
| 30 |
+
2025-03-09 19:51:56,191 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 1.551 | Acc: 44.07%
|
| 31 |
+
2025-03-09 19:51:58,102 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 1.552 | Acc: 44.16%
|
| 32 |
+
2025-03-09 19:52:00,982 - train - INFO - Epoch: 6 | Test Loss: 1.498 | Test Acc: 46.14%
|
| 33 |
+
2025-03-09 19:52:01,147 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 1.703 | Acc: 35.94%
|
| 34 |
+
2025-03-09 19:52:03,112 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 1.549 | Acc: 44.65%
|
| 35 |
+
2025-03-09 19:52:05,091 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 1.558 | Acc: 44.57%
|
| 36 |
+
2025-03-09 19:52:07,124 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 1.546 | Acc: 44.95%
|
| 37 |
+
2025-03-09 19:52:10,122 - train - INFO - Epoch: 7 | Test Loss: 1.463 | Test Acc: 48.95%
|
| 38 |
+
2025-03-09 19:52:10,282 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 1.559 | Acc: 46.88%
|
| 39 |
+
2025-03-09 19:52:12,269 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 1.522 | Acc: 45.61%
|
| 40 |
+
2025-03-09 19:52:14,191 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 1.515 | Acc: 46.19%
|
| 41 |
+
2025-03-09 19:52:16,026 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 1.512 | Acc: 46.34%
|
| 42 |
+
2025-03-09 19:52:18,972 - train - INFO - Epoch: 8 | Test Loss: 1.414 | Test Acc: 51.07%
|
| 43 |
+
2025-03-09 19:52:27,269 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 1.405 | Acc: 50.00%
|
| 44 |
+
2025-03-09 19:52:29,140 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 1.506 | Acc: 46.11%
|
| 45 |
+
2025-03-09 19:52:31,111 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 1.495 | Acc: 46.85%
|
| 46 |
+
2025-03-09 19:52:33,061 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 1.500 | Acc: 46.91%
|
| 47 |
+
2025-03-09 19:52:36,118 - train - INFO - Epoch: 9 | Test Loss: 1.540 | Test Acc: 46.20%
|
| 48 |
+
2025-03-09 19:52:36,307 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 1.710 | Acc: 42.97%
|
| 49 |
+
2025-03-09 19:52:38,571 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 1.515 | Acc: 47.08%
|
| 50 |
+
2025-03-09 19:52:40,615 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 1.506 | Acc: 47.12%
|
| 51 |
+
2025-03-09 19:52:42,631 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 1.498 | Acc: 47.72%
|
| 52 |
+
2025-03-09 19:52:45,697 - train - INFO - Epoch: 10 | Test Loss: 1.359 | Test Acc: 51.08%
|
| 53 |
+
2025-03-09 19:52:45,908 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 1.288 | Acc: 48.44%
|
| 54 |
+
2025-03-09 19:52:48,156 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 1.493 | Acc: 47.49%
|
| 55 |
+
2025-03-09 19:52:50,122 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 1.483 | Acc: 47.77%
|
| 56 |
+
2025-03-09 19:52:52,086 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 1.482 | Acc: 47.71%
|
| 57 |
+
2025-03-09 19:52:55,093 - train - INFO - Epoch: 11 | Test Loss: 1.425 | Test Acc: 49.77%
|
| 58 |
+
2025-03-09 19:52:55,255 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 1.601 | Acc: 38.28%
|
| 59 |
+
2025-03-09 19:52:57,285 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 1.495 | Acc: 47.03%
|
| 60 |
+
2025-03-09 19:52:59,361 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 1.484 | Acc: 47.75%
|
| 61 |
+
2025-03-09 19:53:01,286 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 1.474 | Acc: 48.21%
|
| 62 |
+
2025-03-09 19:53:04,233 - train - INFO - Epoch: 12 | Test Loss: 1.395 | Test Acc: 50.04%
|
| 63 |
+
2025-03-09 19:53:13,654 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 1.349 | Acc: 54.69%
|
| 64 |
+
2025-03-09 19:53:16,010 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 1.476 | Acc: 47.81%
|
| 65 |
+
2025-03-09 19:53:18,014 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 1.459 | Acc: 48.68%
|
| 66 |
+
2025-03-09 19:53:19,910 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 1.463 | Acc: 48.69%
|
| 67 |
+
2025-03-09 19:53:22,970 - train - INFO - Epoch: 13 | Test Loss: 1.433 | Test Acc: 50.43%
|
| 68 |
+
2025-03-09 19:53:23,123 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 1.438 | Acc: 48.44%
|
| 69 |
+
2025-03-09 19:53:25,027 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 1.490 | Acc: 47.90%
|
| 70 |
+
2025-03-09 19:53:27,032 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 1.478 | Acc: 48.26%
|
| 71 |
+
2025-03-09 19:53:28,990 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 1.473 | Acc: 48.42%
|
| 72 |
+
2025-03-09 19:53:31,930 - train - INFO - Epoch: 14 | Test Loss: 1.419 | Test Acc: 50.80%
|
| 73 |
+
2025-03-09 19:53:32,132 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 1.496 | Acc: 49.22%
|
| 74 |
+
2025-03-09 19:53:34,072 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 1.468 | Acc: 49.19%
|
| 75 |
+
2025-03-09 19:53:36,080 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 1.473 | Acc: 49.07%
|
| 76 |
+
2025-03-09 19:53:38,079 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 1.468 | Acc: 49.20%
|
| 77 |
+
2025-03-09 19:53:41,161 - train - INFO - Epoch: 15 | Test Loss: 1.424 | Test Acc: 52.09%
|
| 78 |
+
2025-03-09 19:53:41,356 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 1.368 | Acc: 46.88%
|
| 79 |
+
2025-03-09 19:53:43,498 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 1.485 | Acc: 48.47%
|
| 80 |
+
2025-03-09 19:53:45,625 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 1.475 | Acc: 48.40%
|
| 81 |
+
2025-03-09 19:53:47,626 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 1.468 | Acc: 48.62%
|
| 82 |
+
2025-03-09 19:53:50,536 - train - INFO - Epoch: 16 | Test Loss: 1.368 | Test Acc: 54.06%
|
| 83 |
+
2025-03-09 19:53:58,981 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 1.322 | Acc: 48.44%
|
| 84 |
+
2025-03-09 19:54:01,050 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 1.453 | Acc: 50.21%
|
| 85 |
+
2025-03-09 19:54:03,003 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 1.445 | Acc: 50.24%
|
| 86 |
+
2025-03-09 19:54:05,016 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 1.442 | Acc: 50.14%
|
| 87 |
+
2025-03-09 19:54:08,407 - train - INFO - Epoch: 17 | Test Loss: 1.427 | Test Acc: 50.52%
|
| 88 |
+
2025-03-09 19:54:08,577 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 1.677 | Acc: 39.84%
|
| 89 |
+
2025-03-09 19:54:11,118 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 1.466 | Acc: 49.07%
|
| 90 |
+
2025-03-09 19:54:13,136 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 1.459 | Acc: 49.04%
|
| 91 |
+
2025-03-09 19:54:15,032 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 1.450 | Acc: 49.59%
|
| 92 |
+
2025-03-09 19:54:18,113 - train - INFO - Epoch: 18 | Test Loss: 1.461 | Test Acc: 51.56%
|
| 93 |
+
2025-03-09 19:54:18,278 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 1.473 | Acc: 53.91%
|
| 94 |
+
2025-03-09 19:54:20,263 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 1.457 | Acc: 49.16%
|
| 95 |
+
2025-03-09 19:54:22,414 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 1.433 | Acc: 50.05%
|
| 96 |
+
2025-03-09 19:54:24,518 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 1.427 | Acc: 50.53%
|
| 97 |
+
2025-03-09 19:54:27,682 - train - INFO - Epoch: 19 | Test Loss: 1.490 | Test Acc: 53.65%
|
| 98 |
+
2025-03-09 19:54:27,849 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 1.817 | Acc: 46.09%
|
| 99 |
+
2025-03-09 19:54:29,974 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 1.438 | Acc: 50.66%
|
| 100 |
+
2025-03-09 19:54:32,009 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 1.428 | Acc: 50.77%
|
| 101 |
+
2025-03-09 19:54:34,136 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 1.427 | Acc: 50.63%
|
| 102 |
+
2025-03-09 19:54:37,134 - train - INFO - Epoch: 20 | Test Loss: 1.343 | Test Acc: 54.50%
|
| 103 |
+
2025-03-09 19:54:45,895 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 1.165 | Acc: 61.72%
|
| 104 |
+
2025-03-09 19:54:48,130 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 1.424 | Acc: 49.71%
|
| 105 |
+
2025-03-09 19:54:50,095 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 1.431 | Acc: 50.06%
|
| 106 |
+
2025-03-09 19:54:52,237 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 1.431 | Acc: 50.08%
|
| 107 |
+
2025-03-09 19:54:55,342 - train - INFO - Epoch: 21 | Test Loss: 1.527 | Test Acc: 53.13%
|
| 108 |
+
2025-03-09 19:54:55,542 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 1.576 | Acc: 50.78%
|
| 109 |
+
2025-03-09 19:54:57,589 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 1.439 | Acc: 50.59%
|
| 110 |
+
2025-03-09 19:54:59,618 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 1.443 | Acc: 50.26%
|
| 111 |
+
2025-03-09 19:55:01,786 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 1.447 | Acc: 50.06%
|
| 112 |
+
2025-03-09 19:55:04,883 - train - INFO - Epoch: 22 | Test Loss: 1.385 | Test Acc: 52.66%
|
| 113 |
+
2025-03-09 19:55:05,110 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 1.361 | Acc: 49.22%
|
| 114 |
+
2025-03-09 19:55:07,153 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 1.446 | Acc: 48.96%
|
| 115 |
+
2025-03-09 19:55:09,130 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 1.446 | Acc: 49.48%
|
| 116 |
+
2025-03-09 19:55:11,103 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 1.436 | Acc: 50.26%
|
| 117 |
+
2025-03-09 19:55:14,018 - train - INFO - Epoch: 23 | Test Loss: 1.312 | Test Acc: 54.84%
|
| 118 |
+
2025-03-09 19:55:14,202 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 1.346 | Acc: 50.78%
|
| 119 |
+
2025-03-09 19:55:16,194 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 1.455 | Acc: 48.91%
|
| 120 |
+
2025-03-09 19:55:18,163 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 1.440 | Acc: 49.81%
|
| 121 |
+
2025-03-09 19:55:20,197 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 1.437 | Acc: 50.04%
|
| 122 |
+
2025-03-09 19:55:23,241 - train - INFO - Epoch: 24 | Test Loss: 1.458 | Test Acc: 51.68%
|
| 123 |
+
2025-03-09 19:55:32,077 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 1.432 | Acc: 54.69%
|
| 124 |
+
2025-03-09 19:55:34,182 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 1.410 | Acc: 51.34%
|
| 125 |
+
2025-03-09 19:55:36,201 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 1.422 | Acc: 51.18%
|
| 126 |
+
2025-03-09 19:55:38,082 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 1.414 | Acc: 51.21%
|
| 127 |
+
2025-03-09 19:55:41,003 - train - INFO - Epoch: 25 | Test Loss: 1.407 | Test Acc: 53.10%
|
| 128 |
+
2025-03-09 19:55:41,169 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 1.408 | Acc: 53.91%
|
| 129 |
+
2025-03-09 19:55:43,071 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 1.397 | Acc: 51.52%
|
| 130 |
+
2025-03-09 19:55:45,032 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 1.416 | Acc: 51.12%
|
| 131 |
+
2025-03-09 19:55:47,033 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 1.431 | Acc: 50.55%
|
| 132 |
+
2025-03-09 19:55:50,303 - train - INFO - Epoch: 26 | Test Loss: 1.337 | Test Acc: 53.87%
|
| 133 |
+
2025-03-09 19:55:50,467 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 1.436 | Acc: 52.34%
|
| 134 |
+
2025-03-09 19:55:52,603 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 1.400 | Acc: 51.96%
|
| 135 |
+
2025-03-09 19:55:54,700 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 1.415 | Acc: 51.58%
|
| 136 |
+
2025-03-09 19:55:56,931 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 1.403 | Acc: 51.88%
|
| 137 |
+
2025-03-09 19:56:00,315 - train - INFO - Epoch: 27 | Test Loss: 1.284 | Test Acc: 57.01%
|
| 138 |
+
2025-03-09 19:56:00,490 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 1.196 | Acc: 53.91%
|
| 139 |
+
2025-03-09 19:56:02,614 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 1.402 | Acc: 51.76%
|
| 140 |
+
2025-03-09 19:56:04,933 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 1.408 | Acc: 51.64%
|
| 141 |
+
2025-03-09 19:56:06,826 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 1.415 | Acc: 51.37%
|
| 142 |
+
2025-03-09 19:56:09,723 - train - INFO - Epoch: 28 | Test Loss: 1.512 | Test Acc: 49.97%
|
| 143 |
+
2025-03-09 19:56:18,095 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 1.663 | Acc: 49.22%
|
| 144 |
+
2025-03-09 19:56:20,071 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 1.450 | Acc: 49.74%
|
| 145 |
+
2025-03-09 19:56:22,046 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 1.418 | Acc: 51.07%
|
| 146 |
+
2025-03-09 19:56:23,941 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 1.418 | Acc: 51.21%
|
| 147 |
+
2025-03-09 19:56:27,201 - train - INFO - Epoch: 29 | Test Loss: 1.399 | Test Acc: 50.57%
|
| 148 |
+
2025-03-09 19:56:27,418 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 1.487 | Acc: 50.78%
|
| 149 |
+
2025-03-09 19:56:29,631 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 1.407 | Acc: 52.09%
|
| 150 |
+
2025-03-09 19:56:31,749 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 1.405 | Acc: 52.03%
|
| 151 |
+
2025-03-09 19:56:34,079 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 1.409 | Acc: 51.79%
|
| 152 |
+
2025-03-09 19:56:37,224 - train - INFO - Epoch: 30 | Test Loss: 1.353 | Test Acc: 51.54%
|
| 153 |
+
2025-03-09 19:56:37,407 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 1.319 | Acc: 50.78%
|
| 154 |
+
2025-03-09 19:56:39,290 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 1.408 | Acc: 52.58%
|
| 155 |
+
2025-03-09 19:56:41,278 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 1.403 | Acc: 52.27%
|
| 156 |
+
2025-03-09 19:56:43,239 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 1.405 | Acc: 52.06%
|
| 157 |
+
2025-03-09 19:56:46,411 - train - INFO - Epoch: 31 | Test Loss: 1.437 | Test Acc: 50.89%
|
| 158 |
+
2025-03-09 19:56:46,625 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 1.625 | Acc: 38.28%
|
| 159 |
+
2025-03-09 19:56:48,617 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 1.408 | Acc: 52.27%
|
| 160 |
+
2025-03-09 19:56:50,612 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 1.404 | Acc: 52.34%
|
| 161 |
+
2025-03-09 19:56:52,563 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 1.419 | Acc: 51.68%
|
| 162 |
+
2025-03-09 19:56:55,759 - train - INFO - Epoch: 32 | Test Loss: 1.462 | Test Acc: 49.63%
|
| 163 |
+
2025-03-09 19:57:04,788 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 1.380 | Acc: 50.78%
|
| 164 |
+
2025-03-09 19:57:06,775 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 1.404 | Acc: 52.44%
|
| 165 |
+
2025-03-09 19:57:08,717 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 1.401 | Acc: 52.40%
|
| 166 |
+
2025-03-09 19:57:10,621 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 1.402 | Acc: 52.39%
|
| 167 |
+
2025-03-09 19:57:13,611 - train - INFO - Epoch: 33 | Test Loss: 1.429 | Test Acc: 50.51%
|
| 168 |
+
2025-03-09 19:57:13,780 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 1.457 | Acc: 45.31%
|
| 169 |
+
2025-03-09 19:57:15,716 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 1.382 | Acc: 52.42%
|
| 170 |
+
2025-03-09 19:57:17,568 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 1.369 | Acc: 53.09%
|
| 171 |
+
2025-03-09 19:57:19,467 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 1.385 | Acc: 52.48%
|
| 172 |
+
2025-03-09 19:57:22,494 - train - INFO - Epoch: 34 | Test Loss: 1.269 | Test Acc: 58.16%
|
| 173 |
+
2025-03-09 19:57:22,652 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 1.363 | Acc: 50.00%
|
| 174 |
+
2025-03-09 19:57:24,637 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 1.370 | Acc: 53.33%
|
| 175 |
+
2025-03-09 19:57:26,607 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 1.357 | Acc: 53.85%
|
| 176 |
+
2025-03-09 19:57:28,609 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 1.376 | Acc: 53.20%
|
| 177 |
+
2025-03-09 19:57:31,872 - train - INFO - Epoch: 35 | Test Loss: 1.374 | Test Acc: 52.82%
|
| 178 |
+
2025-03-09 19:57:32,038 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 1.409 | Acc: 48.44%
|
| 179 |
+
2025-03-09 19:57:34,309 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 1.380 | Acc: 53.10%
|
| 180 |
+
2025-03-09 19:57:36,495 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 1.412 | Acc: 52.32%
|
| 181 |
+
2025-03-09 19:57:38,858 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 1.407 | Acc: 52.43%
|
| 182 |
+
2025-03-09 19:57:41,965 - train - INFO - Epoch: 36 | Test Loss: 1.315 | Test Acc: 53.89%
|
| 183 |
+
2025-03-09 19:57:50,440 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 1.449 | Acc: 54.69%
|
| 184 |
+
2025-03-09 19:57:52,335 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 1.406 | Acc: 52.27%
|
| 185 |
+
2025-03-09 19:57:54,375 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 1.402 | Acc: 52.22%
|
| 186 |
+
2025-03-09 19:57:56,397 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 1.402 | Acc: 51.95%
|
| 187 |
+
2025-03-09 19:57:59,642 - train - INFO - Epoch: 37 | Test Loss: 1.317 | Test Acc: 54.21%
|
| 188 |
+
2025-03-09 19:57:59,815 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 1.396 | Acc: 53.91%
|
| 189 |
+
2025-03-09 19:58:01,888 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 1.402 | Acc: 52.91%
|
| 190 |
+
2025-03-09 19:58:04,248 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 1.390 | Acc: 53.00%
|
| 191 |
+
2025-03-09 19:58:06,220 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 1.384 | Acc: 52.99%
|
| 192 |
+
2025-03-09 19:58:09,163 - train - INFO - Epoch: 38 | Test Loss: 1.377 | Test Acc: 53.56%
|
| 193 |
+
2025-03-09 19:58:09,344 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 1.318 | Acc: 56.25%
|
| 194 |
+
2025-03-09 19:58:11,213 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 1.357 | Acc: 53.60%
|
| 195 |
+
2025-03-09 19:58:13,162 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 1.359 | Acc: 53.66%
|
| 196 |
+
2025-03-09 19:58:15,049 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 1.365 | Acc: 53.45%
|
| 197 |
+
2025-03-09 19:58:17,934 - train - INFO - Epoch: 39 | Test Loss: 1.387 | Test Acc: 53.77%
|
| 198 |
+
2025-03-09 19:58:18,107 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 1.412 | Acc: 48.44%
|
| 199 |
+
2025-03-09 19:58:20,130 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 1.366 | Acc: 53.23%
|
| 200 |
+
2025-03-09 19:58:22,068 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 1.351 | Acc: 53.61%
|
| 201 |
+
2025-03-09 19:58:24,230 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 1.354 | Acc: 53.64%
|
| 202 |
+
2025-03-09 19:58:27,405 - train - INFO - Epoch: 40 | Test Loss: 1.372 | Test Acc: 53.59%
|
| 203 |
+
2025-03-09 19:58:36,177 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 1.538 | Acc: 44.53%
|
| 204 |
+
2025-03-09 19:58:38,243 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 1.372 | Acc: 53.30%
|
| 205 |
+
2025-03-09 19:58:40,234 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 1.364 | Acc: 53.72%
|
| 206 |
+
2025-03-09 19:58:42,245 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 1.369 | Acc: 53.57%
|
| 207 |
+
2025-03-09 19:58:45,634 - train - INFO - Epoch: 41 | Test Loss: 1.296 | Test Acc: 54.74%
|
| 208 |
+
2025-03-09 19:58:45,798 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 1.475 | Acc: 44.53%
|
| 209 |
+
2025-03-09 19:58:47,867 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 1.368 | Acc: 52.49%
|
| 210 |
+
2025-03-09 19:58:50,126 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 1.368 | Acc: 52.68%
|
| 211 |
+
2025-03-09 19:58:52,366 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 1.377 | Acc: 52.70%
|
| 212 |
+
2025-03-09 19:58:55,621 - train - INFO - Epoch: 42 | Test Loss: 1.309 | Test Acc: 58.19%
|
| 213 |
+
2025-03-09 19:58:55,774 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 1.291 | Acc: 61.72%
|
| 214 |
+
2025-03-09 19:58:57,733 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 1.340 | Acc: 54.46%
|
| 215 |
+
2025-03-09 19:58:59,676 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 1.329 | Acc: 54.83%
|
| 216 |
+
2025-03-09 19:59:01,636 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 1.331 | Acc: 55.12%
|
| 217 |
+
2025-03-09 19:59:04,691 - train - INFO - Epoch: 43 | Test Loss: 1.373 | Test Acc: 53.69%
|
| 218 |
+
2025-03-09 19:59:04,836 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 1.310 | Acc: 52.34%
|
| 219 |
+
2025-03-09 19:59:06,796 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 1.373 | Acc: 53.46%
|
| 220 |
+
2025-03-09 19:59:08,711 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 1.368 | Acc: 53.84%
|
| 221 |
+
2025-03-09 19:59:10,613 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 1.362 | Acc: 53.90%
|
| 222 |
+
2025-03-09 19:59:13,399 - train - INFO - Epoch: 44 | Test Loss: 1.378 | Test Acc: 53.67%
|
| 223 |
+
2025-03-09 19:59:21,620 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 1.383 | Acc: 58.59%
|
| 224 |
+
2025-03-09 19:59:23,458 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 1.325 | Acc: 55.49%
|
| 225 |
+
2025-03-09 19:59:25,416 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 1.345 | Acc: 54.83%
|
| 226 |
+
2025-03-09 19:59:27,390 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 1.361 | Acc: 54.17%
|
| 227 |
+
2025-03-09 19:59:30,307 - train - INFO - Epoch: 45 | Test Loss: 1.345 | Test Acc: 54.53%
|
| 228 |
+
2025-03-09 19:59:30,478 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 1.303 | Acc: 55.47%
|
| 229 |
+
2025-03-09 19:59:32,427 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 1.342 | Acc: 54.19%
|
| 230 |
+
2025-03-09 19:59:34,336 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 1.337 | Acc: 54.64%
|
| 231 |
+
2025-03-09 19:59:36,228 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 1.351 | Acc: 54.22%
|
| 232 |
+
2025-03-09 19:59:39,262 - train - INFO - Epoch: 46 | Test Loss: 1.345 | Test Acc: 56.16%
|
| 233 |
+
2025-03-09 19:59:39,452 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 1.489 | Acc: 51.56%
|
| 234 |
+
2025-03-09 19:59:41,279 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 1.328 | Acc: 54.90%
|
| 235 |
+
2025-03-09 19:59:43,204 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 1.327 | Acc: 55.05%
|
| 236 |
+
2025-03-09 19:59:45,120 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 1.333 | Acc: 55.00%
|
| 237 |
+
2025-03-09 19:59:48,254 - train - INFO - Epoch: 47 | Test Loss: 1.314 | Test Acc: 56.75%
|
| 238 |
+
2025-03-09 19:59:48,434 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 1.208 | Acc: 59.38%
|
| 239 |
+
2025-03-09 19:59:50,454 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 1.317 | Acc: 55.10%
|
| 240 |
+
2025-03-09 19:59:52,374 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 1.312 | Acc: 55.74%
|
| 241 |
+
2025-03-09 19:59:54,256 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 1.309 | Acc: 55.89%
|
| 242 |
+
2025-03-09 19:59:57,327 - train - INFO - Epoch: 48 | Test Loss: 1.271 | Test Acc: 58.09%
|
| 243 |
+
2025-03-09 20:00:06,506 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 1.332 | Acc: 57.81%
|
| 244 |
+
2025-03-09 20:00:08,781 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 1.298 | Acc: 55.98%
|
| 245 |
+
2025-03-09 20:00:11,349 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 1.302 | Acc: 56.07%
|
| 246 |
+
2025-03-09 20:00:13,500 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 1.307 | Acc: 55.87%
|
| 247 |
+
2025-03-09 20:00:16,544 - train - INFO - Epoch: 49 | Test Loss: 1.286 | Test Acc: 54.88%
|
| 248 |
+
2025-03-09 20:00:16,712 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 1.354 | Acc: 55.47%
|
| 249 |
+
2025-03-09 20:00:18,651 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 1.353 | Acc: 53.57%
|
| 250 |
+
2025-03-09 20:00:20,584 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 1.335 | Acc: 54.65%
|
| 251 |
+
2025-03-09 20:00:22,491 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 1.333 | Acc: 54.62%
|
| 252 |
+
2025-03-09 20:00:25,512 - train - INFO - Epoch: 50 | Test Loss: 1.264 | Test Acc: 56.42%
|
| 253 |
+
2025-03-09 20:00:25,692 - train - INFO - Epoch: 51 | Batch: 0 | Loss: 1.259 | Acc: 57.81%
|
| 254 |
+
2025-03-09 20:00:27,737 - train - INFO - Epoch: 51 | Batch: 100 | Loss: 1.293 | Acc: 56.82%
|
| 255 |
+
2025-03-09 20:00:29,766 - train - INFO - Epoch: 51 | Batch: 200 | Loss: 1.300 | Acc: 56.34%
|
| 256 |
+
2025-03-09 20:00:31,756 - train - INFO - Epoch: 51 | Batch: 300 | Loss: 1.297 | Acc: 56.14%
|
| 257 |
+
2025-03-09 20:00:34,929 - train - INFO - Epoch: 51 | Test Loss: 1.223 | Test Acc: 57.27%
|
| 258 |
+
2025-03-09 20:00:35,118 - train - INFO - Epoch: 52 | Batch: 0 | Loss: 1.323 | Acc: 55.47%
|
| 259 |
+
2025-03-09 20:00:37,282 - train - INFO - Epoch: 52 | Batch: 100 | Loss: 1.299 | Acc: 55.91%
|
| 260 |
+
2025-03-09 20:00:39,484 - train - INFO - Epoch: 52 | Batch: 200 | Loss: 1.289 | Acc: 56.01%
|
| 261 |
+
2025-03-09 20:00:41,515 - train - INFO - Epoch: 52 | Batch: 300 | Loss: 1.293 | Acc: 55.98%
|
| 262 |
+
2025-03-09 20:00:44,482 - train - INFO - Epoch: 52 | Test Loss: 1.310 | Test Acc: 55.00%
|
| 263 |
+
2025-03-09 20:00:52,924 - train - INFO - Epoch: 53 | Batch: 0 | Loss: 1.438 | Acc: 50.00%
|
| 264 |
+
2025-03-09 20:00:55,121 - train - INFO - Epoch: 53 | Batch: 100 | Loss: 1.297 | Acc: 56.12%
|
| 265 |
+
2025-03-09 20:00:57,170 - train - INFO - Epoch: 53 | Batch: 200 | Loss: 1.306 | Acc: 55.61%
|
| 266 |
+
2025-03-09 20:00:59,086 - train - INFO - Epoch: 53 | Batch: 300 | Loss: 1.310 | Acc: 55.32%
|
| 267 |
+
2025-03-09 20:01:01,976 - train - INFO - Epoch: 53 | Test Loss: 1.293 | Test Acc: 55.28%
|
| 268 |
+
2025-03-09 20:01:02,134 - train - INFO - Epoch: 54 | Batch: 0 | Loss: 1.311 | Acc: 53.91%
|
| 269 |
+
2025-03-09 20:01:04,118 - train - INFO - Epoch: 54 | Batch: 100 | Loss: 1.335 | Acc: 54.83%
|
| 270 |
+
2025-03-09 20:01:06,123 - train - INFO - Epoch: 54 | Batch: 200 | Loss: 1.312 | Acc: 55.50%
|
| 271 |
+
2025-03-09 20:01:08,143 - train - INFO - Epoch: 54 | Batch: 300 | Loss: 1.296 | Acc: 55.97%
|
| 272 |
+
2025-03-09 20:01:11,377 - train - INFO - Epoch: 54 | Test Loss: 1.293 | Test Acc: 57.74%
|
| 273 |
+
2025-03-09 20:01:11,543 - train - INFO - Epoch: 55 | Batch: 0 | Loss: 1.194 | Acc: 58.59%
|
| 274 |
+
2025-03-09 20:01:13,621 - train - INFO - Epoch: 55 | Batch: 100 | Loss: 1.266 | Acc: 56.81%
|
| 275 |
+
2025-03-09 20:01:15,599 - train - INFO - Epoch: 55 | Batch: 200 | Loss: 1.267 | Acc: 57.00%
|
| 276 |
+
2025-03-09 20:01:17,646 - train - INFO - Epoch: 55 | Batch: 300 | Loss: 1.297 | Acc: 56.35%
|
| 277 |
+
2025-03-09 20:01:20,601 - train - INFO - Epoch: 55 | Test Loss: 1.288 | Test Acc: 56.27%
|
| 278 |
+
2025-03-09 20:01:20,778 - train - INFO - Epoch: 56 | Batch: 0 | Loss: 1.295 | Acc: 54.69%
|
| 279 |
+
2025-03-09 20:01:22,676 - train - INFO - Epoch: 56 | Batch: 100 | Loss: 1.306 | Acc: 55.91%
|
| 280 |
+
2025-03-09 20:01:24,633 - train - INFO - Epoch: 56 | Batch: 200 | Loss: 1.289 | Acc: 56.60%
|
| 281 |
+
2025-03-09 20:01:26,625 - train - INFO - Epoch: 56 | Batch: 300 | Loss: 1.299 | Acc: 56.09%
|
| 282 |
+
2025-03-09 20:01:29,991 - train - INFO - Epoch: 56 | Test Loss: 1.264 | Test Acc: 56.79%
|
| 283 |
+
2025-03-09 20:01:38,741 - train - INFO - Epoch: 57 | Batch: 0 | Loss: 1.413 | Acc: 53.12%
|
| 284 |
+
2025-03-09 20:01:40,895 - train - INFO - Epoch: 57 | Batch: 100 | Loss: 1.295 | Acc: 56.21%
|
| 285 |
+
2025-03-09 20:01:43,111 - train - INFO - Epoch: 57 | Batch: 200 | Loss: 1.287 | Acc: 56.34%
|
| 286 |
+
2025-03-09 20:01:45,114 - train - INFO - Epoch: 57 | Batch: 300 | Loss: 1.276 | Acc: 56.62%
|
| 287 |
+
2025-03-09 20:01:48,333 - train - INFO - Epoch: 57 | Test Loss: 1.283 | Test Acc: 56.47%
|
| 288 |
+
2025-03-09 20:01:48,483 - train - INFO - Epoch: 58 | Batch: 0 | Loss: 1.203 | Acc: 60.94%
|
| 289 |
+
2025-03-09 20:01:50,350 - train - INFO - Epoch: 58 | Batch: 100 | Loss: 1.265 | Acc: 57.16%
|
| 290 |
+
2025-03-09 20:01:52,319 - train - INFO - Epoch: 58 | Batch: 200 | Loss: 1.278 | Acc: 56.86%
|
| 291 |
+
2025-03-09 20:01:54,253 - train - INFO - Epoch: 58 | Batch: 300 | Loss: 1.278 | Acc: 56.76%
|
| 292 |
+
2025-03-09 20:01:57,139 - train - INFO - Epoch: 58 | Test Loss: 1.250 | Test Acc: 55.98%
|
| 293 |
+
2025-03-09 20:01:57,294 - train - INFO - Epoch: 59 | Batch: 0 | Loss: 1.299 | Acc: 54.69%
|
| 294 |
+
2025-03-09 20:01:59,177 - train - INFO - Epoch: 59 | Batch: 100 | Loss: 1.275 | Acc: 56.53%
|
| 295 |
+
2025-03-09 20:02:01,061 - train - INFO - Epoch: 59 | Batch: 200 | Loss: 1.264 | Acc: 57.11%
|
| 296 |
+
2025-03-09 20:02:03,013 - train - INFO - Epoch: 59 | Batch: 300 | Loss: 1.270 | Acc: 57.01%
|
| 297 |
+
2025-03-09 20:02:05,873 - train - INFO - Epoch: 59 | Test Loss: 1.175 | Test Acc: 60.14%
|
| 298 |
+
2025-03-09 20:02:06,084 - train - INFO - Epoch: 60 | Batch: 0 | Loss: 1.176 | Acc: 60.16%
|
| 299 |
+
2025-03-09 20:02:08,156 - train - INFO - Epoch: 60 | Batch: 100 | Loss: 1.276 | Acc: 56.69%
|
| 300 |
+
2025-03-09 20:02:10,235 - train - INFO - Epoch: 60 | Batch: 200 | Loss: 1.261 | Acc: 57.39%
|
| 301 |
+
2025-03-09 20:02:12,262 - train - INFO - Epoch: 60 | Batch: 300 | Loss: 1.272 | Acc: 56.96%
|
| 302 |
+
2025-03-09 20:02:15,547 - train - INFO - Epoch: 60 | Test Loss: 1.258 | Test Acc: 57.63%
|
| 303 |
+
2025-03-09 20:02:24,176 - train - INFO - Epoch: 61 | Batch: 0 | Loss: 1.181 | Acc: 63.28%
|
| 304 |
+
2025-03-09 20:02:26,274 - train - INFO - Epoch: 61 | Batch: 100 | Loss: 1.283 | Acc: 56.98%
|
| 305 |
+
2025-03-09 20:02:28,240 - train - INFO - Epoch: 61 | Batch: 200 | Loss: 1.267 | Acc: 57.38%
|
| 306 |
+
2025-03-09 20:02:30,146 - train - INFO - Epoch: 61 | Batch: 300 | Loss: 1.266 | Acc: 57.71%
|
| 307 |
+
2025-03-09 20:02:33,184 - train - INFO - Epoch: 61 | Test Loss: 1.185 | Test Acc: 57.88%
|
| 308 |
+
2025-03-09 20:02:33,361 - train - INFO - Epoch: 62 | Batch: 0 | Loss: 1.181 | Acc: 55.47%
|
| 309 |
+
2025-03-09 20:02:35,405 - train - INFO - Epoch: 62 | Batch: 100 | Loss: 1.237 | Acc: 58.36%
|
| 310 |
+
2025-03-09 20:02:37,431 - train - INFO - Epoch: 62 | Batch: 200 | Loss: 1.222 | Acc: 58.83%
|
| 311 |
+
2025-03-09 20:02:39,492 - train - INFO - Epoch: 62 | Batch: 300 | Loss: 1.225 | Acc: 58.54%
|
| 312 |
+
2025-03-09 20:02:42,962 - train - INFO - Epoch: 62 | Test Loss: 1.201 | Test Acc: 59.17%
|
| 313 |
+
2025-03-09 20:02:43,194 - train - INFO - Epoch: 63 | Batch: 0 | Loss: 1.167 | Acc: 57.03%
|
| 314 |
+
2025-03-09 20:02:45,381 - train - INFO - Epoch: 63 | Batch: 100 | Loss: 1.255 | Acc: 57.75%
|
| 315 |
+
2025-03-09 20:02:47,427 - train - INFO - Epoch: 63 | Batch: 200 | Loss: 1.251 | Acc: 57.57%
|
| 316 |
+
2025-03-09 20:02:49,782 - train - INFO - Epoch: 63 | Batch: 300 | Loss: 1.247 | Acc: 57.64%
|
| 317 |
+
2025-03-09 20:02:52,930 - train - INFO - Epoch: 63 | Test Loss: 1.212 | Test Acc: 59.46%
|
| 318 |
+
2025-03-09 20:02:53,093 - train - INFO - Epoch: 64 | Batch: 0 | Loss: 1.213 | Acc: 60.16%
|
| 319 |
+
2025-03-09 20:02:54,979 - train - INFO - Epoch: 64 | Batch: 100 | Loss: 1.238 | Acc: 58.62%
|
| 320 |
+
2025-03-09 20:02:56,924 - train - INFO - Epoch: 64 | Batch: 200 | Loss: 1.231 | Acc: 58.56%
|
| 321 |
+
2025-03-09 20:02:59,004 - train - INFO - Epoch: 64 | Batch: 300 | Loss: 1.235 | Acc: 58.42%
|
| 322 |
+
2025-03-09 20:03:02,027 - train - INFO - Epoch: 64 | Test Loss: 1.301 | Test Acc: 56.76%
|
| 323 |
+
2025-03-09 20:03:11,492 - train - INFO - Epoch: 65 | Batch: 0 | Loss: 1.440 | Acc: 59.38%
|
| 324 |
+
2025-03-09 20:03:13,589 - train - INFO - Epoch: 65 | Batch: 100 | Loss: 1.219 | Acc: 57.99%
|
| 325 |
+
2025-03-09 20:03:15,758 - train - INFO - Epoch: 65 | Batch: 200 | Loss: 1.214 | Acc: 58.48%
|
| 326 |
+
2025-03-09 20:03:17,811 - train - INFO - Epoch: 65 | Batch: 300 | Loss: 1.220 | Acc: 58.31%
|
| 327 |
+
2025-03-09 20:03:20,962 - train - INFO - Epoch: 65 | Test Loss: 1.133 | Test Acc: 62.39%
|
| 328 |
+
2025-03-09 20:03:21,151 - train - INFO - Epoch: 66 | Batch: 0 | Loss: 1.090 | Acc: 64.84%
|
| 329 |
+
2025-03-09 20:03:23,279 - train - INFO - Epoch: 66 | Batch: 100 | Loss: 1.212 | Acc: 58.54%
|
| 330 |
+
2025-03-09 20:03:25,314 - train - INFO - Epoch: 66 | Batch: 200 | Loss: 1.221 | Acc: 58.45%
|
| 331 |
+
2025-03-09 20:03:27,262 - train - INFO - Epoch: 66 | Batch: 300 | Loss: 1.220 | Acc: 58.67%
|
| 332 |
+
2025-03-09 20:03:30,250 - train - INFO - Epoch: 66 | Test Loss: 1.128 | Test Acc: 62.20%
|
| 333 |
+
2025-03-09 20:03:30,427 - train - INFO - Epoch: 67 | Batch: 0 | Loss: 1.194 | Acc: 62.50%
|
| 334 |
+
2025-03-09 20:03:32,409 - train - INFO - Epoch: 67 | Batch: 100 | Loss: 1.205 | Acc: 59.23%
|
| 335 |
+
2025-03-09 20:03:34,525 - train - INFO - Epoch: 67 | Batch: 200 | Loss: 1.219 | Acc: 58.96%
|
| 336 |
+
2025-03-09 20:03:36,669 - train - INFO - Epoch: 67 | Batch: 300 | Loss: 1.224 | Acc: 58.88%
|
| 337 |
+
2025-03-09 20:03:40,213 - train - INFO - Epoch: 67 | Test Loss: 1.198 | Test Acc: 60.10%
|
| 338 |
+
2025-03-09 20:03:40,438 - train - INFO - Epoch: 68 | Batch: 0 | Loss: 1.071 | Acc: 59.38%
|
| 339 |
+
2025-03-09 20:03:42,654 - train - INFO - Epoch: 68 | Batch: 100 | Loss: 1.195 | Acc: 59.75%
|
| 340 |
+
2025-03-09 20:03:44,633 - train - INFO - Epoch: 68 | Batch: 200 | Loss: 1.193 | Acc: 59.75%
|
| 341 |
+
2025-03-09 20:03:46,611 - train - INFO - Epoch: 68 | Batch: 300 | Loss: 1.193 | Acc: 59.72%
|
| 342 |
+
2025-03-09 20:03:49,635 - train - INFO - Epoch: 68 | Test Loss: 1.170 | Test Acc: 60.74%
|
| 343 |
+
2025-03-09 20:03:58,030 - train - INFO - Epoch: 69 | Batch: 0 | Loss: 1.065 | Acc: 57.81%
|
| 344 |
+
2025-03-09 20:04:00,061 - train - INFO - Epoch: 69 | Batch: 100 | Loss: 1.217 | Acc: 58.83%
|
| 345 |
+
2025-03-09 20:04:01,977 - train - INFO - Epoch: 69 | Batch: 200 | Loss: 1.226 | Acc: 58.59%
|
| 346 |
+
2025-03-09 20:04:03,999 - train - INFO - Epoch: 69 | Batch: 300 | Loss: 1.229 | Acc: 58.67%
|
| 347 |
+
2025-03-09 20:04:07,214 - train - INFO - Epoch: 69 | Test Loss: 1.170 | Test Acc: 61.05%
|
| 348 |
+
2025-03-09 20:04:07,420 - train - INFO - Epoch: 70 | Batch: 0 | Loss: 1.327 | Acc: 55.47%
|
| 349 |
+
2025-03-09 20:04:09,428 - train - INFO - Epoch: 70 | Batch: 100 | Loss: 1.212 | Acc: 59.03%
|
| 350 |
+
2025-03-09 20:04:11,490 - train - INFO - Epoch: 70 | Batch: 200 | Loss: 1.210 | Acc: 59.22%
|
| 351 |
+
2025-03-09 20:04:13,652 - train - INFO - Epoch: 70 | Batch: 300 | Loss: 1.201 | Acc: 59.55%
|
| 352 |
+
2025-03-09 20:04:16,600 - train - INFO - Epoch: 70 | Test Loss: 1.083 | Test Acc: 63.70%
|
| 353 |
+
2025-03-09 20:04:16,780 - train - INFO - Epoch: 71 | Batch: 0 | Loss: 1.090 | Acc: 64.84%
|
| 354 |
+
2025-03-09 20:04:18,739 - train - INFO - Epoch: 71 | Batch: 100 | Loss: 1.180 | Acc: 60.05%
|
| 355 |
+
2025-03-09 20:04:20,670 - train - INFO - Epoch: 71 | Batch: 200 | Loss: 1.185 | Acc: 59.98%
|
| 356 |
+
2025-03-09 20:04:22,543 - train - INFO - Epoch: 71 | Batch: 300 | Loss: 1.183 | Acc: 60.13%
|
| 357 |
+
2025-03-09 20:04:25,494 - train - INFO - Epoch: 71 | Test Loss: 1.122 | Test Acc: 63.08%
|
| 358 |
+
2025-03-09 20:04:25,672 - train - INFO - Epoch: 72 | Batch: 0 | Loss: 1.234 | Acc: 57.81%
|
| 359 |
+
2025-03-09 20:04:27,737 - train - INFO - Epoch: 72 | Batch: 100 | Loss: 1.229 | Acc: 58.80%
|
| 360 |
+
2025-03-09 20:04:29,724 - train - INFO - Epoch: 72 | Batch: 200 | Loss: 1.214 | Acc: 59.19%
|
| 361 |
+
2025-03-09 20:04:31,711 - train - INFO - Epoch: 72 | Batch: 300 | Loss: 1.205 | Acc: 59.47%
|
| 362 |
+
2025-03-09 20:04:35,205 - train - INFO - Epoch: 72 | Test Loss: 1.286 | Test Acc: 58.20%
|
| 363 |
+
2025-03-09 20:04:44,301 - train - INFO - Epoch: 73 | Batch: 0 | Loss: 1.294 | Acc: 57.81%
|
| 364 |
+
2025-03-09 20:04:46,184 - train - INFO - Epoch: 73 | Batch: 100 | Loss: 1.195 | Acc: 59.38%
|
| 365 |
+
2025-03-09 20:04:48,292 - train - INFO - Epoch: 73 | Batch: 200 | Loss: 1.186 | Acc: 59.92%
|
| 366 |
+
2025-03-09 20:04:50,218 - train - INFO - Epoch: 73 | Batch: 300 | Loss: 1.186 | Acc: 59.97%
|
| 367 |
+
2025-03-09 20:04:53,168 - train - INFO - Epoch: 73 | Test Loss: 1.130 | Test Acc: 62.16%
|
| 368 |
+
2025-03-09 20:04:53,370 - train - INFO - Epoch: 74 | Batch: 0 | Loss: 1.022 | Acc: 66.41%
|
| 369 |
+
2025-03-09 20:04:55,408 - train - INFO - Epoch: 74 | Batch: 100 | Loss: 1.219 | Acc: 58.83%
|
| 370 |
+
2025-03-09 20:04:57,367 - train - INFO - Epoch: 74 | Batch: 200 | Loss: 1.196 | Acc: 59.82%
|
| 371 |
+
2025-03-09 20:04:59,411 - train - INFO - Epoch: 74 | Batch: 300 | Loss: 1.184 | Acc: 60.10%
|
| 372 |
+
2025-03-09 20:05:02,780 - train - INFO - Epoch: 74 | Test Loss: 1.169 | Test Acc: 59.53%
|
| 373 |
+
2025-03-09 20:05:02,956 - train - INFO - Epoch: 75 | Batch: 0 | Loss: 1.042 | Acc: 64.06%
|
| 374 |
+
2025-03-09 20:05:04,928 - train - INFO - Epoch: 75 | Batch: 100 | Loss: 1.179 | Acc: 59.97%
|
| 375 |
+
2025-03-09 20:05:07,026 - train - INFO - Epoch: 75 | Batch: 200 | Loss: 1.164 | Acc: 60.59%
|
| 376 |
+
2025-03-09 20:05:09,052 - train - INFO - Epoch: 75 | Batch: 300 | Loss: 1.168 | Acc: 60.56%
|
| 377 |
+
2025-03-09 20:05:12,486 - train - INFO - Epoch: 75 | Test Loss: 1.086 | Test Acc: 64.61%
|
| 378 |
+
2025-03-09 20:05:12,668 - train - INFO - Epoch: 76 | Batch: 0 | Loss: 1.005 | Acc: 67.97%
|
| 379 |
+
2025-03-09 20:05:14,872 - train - INFO - Epoch: 76 | Batch: 100 | Loss: 1.188 | Acc: 59.54%
|
| 380 |
+
2025-03-09 20:05:17,020 - train - INFO - Epoch: 76 | Batch: 200 | Loss: 1.168 | Acc: 60.31%
|
| 381 |
+
2025-03-09 20:05:18,884 - train - INFO - Epoch: 76 | Batch: 300 | Loss: 1.171 | Acc: 60.22%
|
| 382 |
+
2025-03-09 20:05:21,857 - train - INFO - Epoch: 76 | Test Loss: 1.077 | Test Acc: 64.56%
|
| 383 |
+
2025-03-09 20:05:30,426 - train - INFO - Epoch: 77 | Batch: 0 | Loss: 0.993 | Acc: 67.97%
|
| 384 |
+
2025-03-09 20:05:32,481 - train - INFO - Epoch: 77 | Batch: 100 | Loss: 1.187 | Acc: 59.47%
|
| 385 |
+
2025-03-09 20:05:34,515 - train - INFO - Epoch: 77 | Batch: 200 | Loss: 1.162 | Acc: 60.40%
|
| 386 |
+
2025-03-09 20:05:36,603 - train - INFO - Epoch: 77 | Batch: 300 | Loss: 1.156 | Acc: 60.49%
|
| 387 |
+
2025-03-09 20:05:39,781 - train - INFO - Epoch: 77 | Test Loss: 1.148 | Test Acc: 61.77%
|
| 388 |
+
2025-03-09 20:05:39,985 - train - INFO - Epoch: 78 | Batch: 0 | Loss: 1.126 | Acc: 60.16%
|
| 389 |
+
2025-03-09 20:05:41,942 - train - INFO - Epoch: 78 | Batch: 100 | Loss: 1.135 | Acc: 61.81%
|
| 390 |
+
2025-03-09 20:05:43,948 - train - INFO - Epoch: 78 | Batch: 200 | Loss: 1.130 | Acc: 61.72%
|
| 391 |
+
2025-03-09 20:05:46,120 - train - INFO - Epoch: 78 | Batch: 300 | Loss: 1.144 | Acc: 61.18%
|
| 392 |
+
2025-03-09 20:05:49,313 - train - INFO - Epoch: 78 | Test Loss: 1.187 | Test Acc: 60.45%
|
| 393 |
+
2025-03-09 20:05:49,505 - train - INFO - Epoch: 79 | Batch: 0 | Loss: 1.205 | Acc: 60.94%
|
| 394 |
+
2025-03-09 20:05:51,476 - train - INFO - Epoch: 79 | Batch: 100 | Loss: 1.161 | Acc: 60.95%
|
| 395 |
+
2025-03-09 20:05:53,457 - train - INFO - Epoch: 79 | Batch: 200 | Loss: 1.157 | Acc: 61.07%
|
| 396 |
+
2025-03-09 20:05:55,418 - train - INFO - Epoch: 79 | Batch: 300 | Loss: 1.156 | Acc: 61.12%
|
| 397 |
+
2025-03-09 20:05:58,509 - train - INFO - Epoch: 79 | Test Loss: 1.056 | Test Acc: 63.68%
|
| 398 |
+
2025-03-09 20:05:58,686 - train - INFO - Epoch: 80 | Batch: 0 | Loss: 1.065 | Acc: 64.84%
|
| 399 |
+
2025-03-09 20:06:00,797 - train - INFO - Epoch: 80 | Batch: 100 | Loss: 1.121 | Acc: 62.57%
|
| 400 |
+
2025-03-09 20:06:02,773 - train - INFO - Epoch: 80 | Batch: 200 | Loss: 1.133 | Acc: 61.80%
|
| 401 |
+
2025-03-09 20:06:04,652 - train - INFO - Epoch: 80 | Batch: 300 | Loss: 1.145 | Acc: 61.24%
|
| 402 |
+
2025-03-09 20:06:07,896 - train - INFO - Epoch: 80 | Test Loss: 1.118 | Test Acc: 62.60%
|
| 403 |
+
2025-03-09 20:06:17,187 - train - INFO - Epoch: 81 | Batch: 0 | Loss: 0.981 | Acc: 64.06%
|
| 404 |
+
2025-03-09 20:06:19,096 - train - INFO - Epoch: 81 | Batch: 100 | Loss: 1.167 | Acc: 61.12%
|
| 405 |
+
2025-03-09 20:06:21,115 - train - INFO - Epoch: 81 | Batch: 200 | Loss: 1.154 | Acc: 61.34%
|
| 406 |
+
2025-03-09 20:06:23,095 - train - INFO - Epoch: 81 | Batch: 300 | Loss: 1.144 | Acc: 61.42%
|
| 407 |
+
2025-03-09 20:06:26,187 - train - INFO - Epoch: 81 | Test Loss: 1.173 | Test Acc: 60.44%
|
| 408 |
+
2025-03-09 20:06:26,358 - train - INFO - Epoch: 82 | Batch: 0 | Loss: 1.302 | Acc: 53.91%
|
| 409 |
+
2025-03-09 20:06:28,368 - train - INFO - Epoch: 82 | Batch: 100 | Loss: 1.138 | Acc: 61.95%
|
| 410 |
+
2025-03-09 20:06:30,300 - train - INFO - Epoch: 82 | Batch: 200 | Loss: 1.133 | Acc: 62.14%
|
| 411 |
+
2025-03-09 20:06:32,316 - train - INFO - Epoch: 82 | Batch: 300 | Loss: 1.134 | Acc: 62.13%
|
| 412 |
+
2025-03-09 20:06:35,449 - train - INFO - Epoch: 82 | Test Loss: 1.126 | Test Acc: 61.16%
|
| 413 |
+
2025-03-09 20:06:35,669 - train - INFO - Epoch: 83 | Batch: 0 | Loss: 1.332 | Acc: 53.12%
|
| 414 |
+
2025-03-09 20:06:37,637 - train - INFO - Epoch: 83 | Batch: 100 | Loss: 1.145 | Acc: 60.94%
|
| 415 |
+
2025-03-09 20:06:39,716 - train - INFO - Epoch: 83 | Batch: 200 | Loss: 1.138 | Acc: 61.66%
|
| 416 |
+
2025-03-09 20:06:41,791 - train - INFO - Epoch: 83 | Batch: 300 | Loss: 1.143 | Acc: 61.64%
|
| 417 |
+
2025-03-09 20:06:44,690 - train - INFO - Epoch: 83 | Test Loss: 1.201 | Test Acc: 61.08%
|
| 418 |
+
2025-03-09 20:06:44,856 - train - INFO - Epoch: 84 | Batch: 0 | Loss: 1.367 | Acc: 61.72%
|
| 419 |
+
2025-03-09 20:06:46,837 - train - INFO - Epoch: 84 | Batch: 100 | Loss: 1.157 | Acc: 61.66%
|
| 420 |
+
2025-03-09 20:06:48,817 - train - INFO - Epoch: 84 | Batch: 200 | Loss: 1.129 | Acc: 62.19%
|
| 421 |
+
2025-03-09 20:06:50,922 - train - INFO - Epoch: 84 | Batch: 300 | Loss: 1.124 | Acc: 62.21%
|
| 422 |
+
2025-03-09 20:06:54,051 - train - INFO - Epoch: 84 | Test Loss: 1.030 | Test Acc: 65.83%
|
| 423 |
+
2025-03-09 20:07:03,364 - train - INFO - Epoch: 85 | Batch: 0 | Loss: 0.997 | Acc: 66.41%
|
| 424 |
+
2025-03-09 20:07:06,169 - train - INFO - Epoch: 85 | Batch: 100 | Loss: 1.102 | Acc: 62.93%
|
| 425 |
+
2025-03-09 20:07:08,295 - train - INFO - Epoch: 85 | Batch: 200 | Loss: 1.099 | Acc: 62.92%
|
| 426 |
+
2025-03-09 20:07:10,316 - train - INFO - Epoch: 85 | Batch: 300 | Loss: 1.100 | Acc: 62.74%
|
| 427 |
+
2025-03-09 20:07:13,443 - train - INFO - Epoch: 85 | Test Loss: 0.993 | Test Acc: 66.24%
|
| 428 |
+
2025-03-09 20:07:13,613 - train - INFO - Epoch: 86 | Batch: 0 | Loss: 0.879 | Acc: 66.41%
|
| 429 |
+
2025-03-09 20:07:15,530 - train - INFO - Epoch: 86 | Batch: 100 | Loss: 1.070 | Acc: 63.68%
|
| 430 |
+
2025-03-09 20:07:17,620 - train - INFO - Epoch: 86 | Batch: 200 | Loss: 1.082 | Acc: 63.56%
|
| 431 |
+
2025-03-09 20:07:19,568 - train - INFO - Epoch: 86 | Batch: 300 | Loss: 1.095 | Acc: 63.20%
|
| 432 |
+
2025-03-09 20:07:22,857 - train - INFO - Epoch: 86 | Test Loss: 1.084 | Test Acc: 64.14%
|
| 433 |
+
2025-03-09 20:07:23,032 - train - INFO - Epoch: 87 | Batch: 0 | Loss: 1.100 | Acc: 59.38%
|
| 434 |
+
2025-03-09 20:07:25,120 - train - INFO - Epoch: 87 | Batch: 100 | Loss: 1.086 | Acc: 62.84%
|
| 435 |
+
2025-03-09 20:07:27,174 - train - INFO - Epoch: 87 | Batch: 200 | Loss: 1.096 | Acc: 62.75%
|
| 436 |
+
2025-03-09 20:07:29,361 - train - INFO - Epoch: 87 | Batch: 300 | Loss: 1.107 | Acc: 62.41%
|
| 437 |
+
2025-03-09 20:07:32,701 - train - INFO - Epoch: 87 | Test Loss: 1.017 | Test Acc: 66.01%
|
| 438 |
+
2025-03-09 20:07:32,864 - train - INFO - Epoch: 88 | Batch: 0 | Loss: 0.993 | Acc: 71.88%
|
| 439 |
+
2025-03-09 20:07:34,869 - train - INFO - Epoch: 88 | Batch: 100 | Loss: 1.064 | Acc: 64.05%
|
| 440 |
+
2025-03-09 20:07:36,860 - train - INFO - Epoch: 88 | Batch: 200 | Loss: 1.078 | Acc: 63.53%
|
| 441 |
+
2025-03-09 20:07:38,850 - train - INFO - Epoch: 88 | Batch: 300 | Loss: 1.093 | Acc: 63.05%
|
| 442 |
+
2025-03-09 20:07:41,861 - train - INFO - Epoch: 88 | Test Loss: 0.984 | Test Acc: 67.59%
|
| 443 |
+
2025-03-09 20:07:50,269 - train - INFO - Epoch: 89 | Batch: 0 | Loss: 1.033 | Acc: 64.06%
|
| 444 |
+
2025-03-09 20:07:52,348 - train - INFO - Epoch: 89 | Batch: 100 | Loss: 1.060 | Acc: 64.22%
|
| 445 |
+
2025-03-09 20:07:54,441 - train - INFO - Epoch: 89 | Batch: 200 | Loss: 1.060 | Acc: 64.06%
|
| 446 |
+
2025-03-09 20:07:56,483 - train - INFO - Epoch: 89 | Batch: 300 | Loss: 1.066 | Acc: 63.70%
|
| 447 |
+
2025-03-09 20:07:59,622 - train - INFO - Epoch: 89 | Test Loss: 1.052 | Test Acc: 65.01%
|
| 448 |
+
2025-03-09 20:07:59,816 - train - INFO - Epoch: 90 | Batch: 0 | Loss: 1.035 | Acc: 65.62%
|
| 449 |
+
2025-03-09 20:08:02,021 - train - INFO - Epoch: 90 | Batch: 100 | Loss: 1.072 | Acc: 64.50%
|
| 450 |
+
2025-03-09 20:08:04,109 - train - INFO - Epoch: 90 | Batch: 200 | Loss: 1.073 | Acc: 63.96%
|
| 451 |
+
2025-03-09 20:08:06,098 - train - INFO - Epoch: 90 | Batch: 300 | Loss: 1.079 | Acc: 63.72%
|
| 452 |
+
2025-03-09 20:08:09,147 - train - INFO - Epoch: 90 | Test Loss: 0.991 | Test Acc: 67.06%
|
| 453 |
+
2025-03-09 20:08:09,323 - train - INFO - Epoch: 91 | Batch: 0 | Loss: 1.019 | Acc: 66.41%
|
| 454 |
+
2025-03-09 20:08:11,288 - train - INFO - Epoch: 91 | Batch: 100 | Loss: 1.040 | Acc: 64.88%
|
| 455 |
+
2025-03-09 20:08:13,266 - train - INFO - Epoch: 91 | Batch: 200 | Loss: 1.043 | Acc: 64.61%
|
| 456 |
+
2025-03-09 20:08:15,248 - train - INFO - Epoch: 91 | Batch: 300 | Loss: 1.056 | Acc: 64.13%
|
| 457 |
+
2025-03-09 20:08:18,420 - train - INFO - Epoch: 91 | Test Loss: 1.099 | Test Acc: 63.08%
|
| 458 |
+
2025-03-09 20:08:18,624 - train - INFO - Epoch: 92 | Batch: 0 | Loss: 1.044 | Acc: 68.75%
|
| 459 |
+
2025-03-09 20:08:20,632 - train - INFO - Epoch: 92 | Batch: 100 | Loss: 1.055 | Acc: 64.34%
|
| 460 |
+
2025-03-09 20:08:22,645 - train - INFO - Epoch: 92 | Batch: 200 | Loss: 1.051 | Acc: 64.52%
|
| 461 |
+
2025-03-09 20:08:24,710 - train - INFO - Epoch: 92 | Batch: 300 | Loss: 1.063 | Acc: 63.84%
|
| 462 |
+
2025-03-09 20:08:27,778 - train - INFO - Epoch: 92 | Test Loss: 1.023 | Test Acc: 65.02%
|
| 463 |
+
2025-03-09 20:08:36,292 - train - INFO - Epoch: 93 | Batch: 0 | Loss: 1.010 | Acc: 64.06%
|
| 464 |
+
2025-03-09 20:08:38,381 - train - INFO - Epoch: 93 | Batch: 100 | Loss: 1.084 | Acc: 63.50%
|
| 465 |
+
2025-03-09 20:08:40,403 - train - INFO - Epoch: 93 | Batch: 200 | Loss: 1.055 | Acc: 64.34%
|
| 466 |
+
2025-03-09 20:08:42,384 - train - INFO - Epoch: 93 | Batch: 300 | Loss: 1.055 | Acc: 64.37%
|
| 467 |
+
2025-03-09 20:08:45,302 - train - INFO - Epoch: 93 | Test Loss: 1.040 | Test Acc: 65.43%
|
| 468 |
+
2025-03-09 20:08:45,476 - train - INFO - Epoch: 94 | Batch: 0 | Loss: 1.013 | Acc: 66.41%
|
| 469 |
+
2025-03-09 20:08:47,512 - train - INFO - Epoch: 94 | Batch: 100 | Loss: 1.048 | Acc: 64.67%
|
| 470 |
+
2025-03-09 20:08:49,355 - train - INFO - Epoch: 94 | Batch: 200 | Loss: 1.034 | Acc: 64.90%
|
| 471 |
+
2025-03-09 20:08:51,320 - train - INFO - Epoch: 94 | Batch: 300 | Loss: 1.032 | Acc: 65.03%
|
| 472 |
+
2025-03-09 20:08:54,352 - train - INFO - Epoch: 94 | Test Loss: 1.007 | Test Acc: 65.77%
|
| 473 |
+
2025-03-09 20:08:54,532 - train - INFO - Epoch: 95 | Batch: 0 | Loss: 0.963 | Acc: 68.75%
|
| 474 |
+
2025-03-09 20:08:56,486 - train - INFO - Epoch: 95 | Batch: 100 | Loss: 1.044 | Acc: 64.52%
|
| 475 |
+
2025-03-09 20:08:58,522 - train - INFO - Epoch: 95 | Batch: 200 | Loss: 1.059 | Acc: 64.16%
|
| 476 |
+
2025-03-09 20:09:00,641 - train - INFO - Epoch: 95 | Batch: 300 | Loss: 1.046 | Acc: 64.58%
|
| 477 |
+
2025-03-09 20:09:03,741 - train - INFO - Epoch: 95 | Test Loss: 1.032 | Test Acc: 65.96%
|
| 478 |
+
2025-03-09 20:09:03,950 - train - INFO - Epoch: 96 | Batch: 0 | Loss: 0.983 | Acc: 65.62%
|
| 479 |
+
2025-03-09 20:09:05,855 - train - INFO - Epoch: 96 | Batch: 100 | Loss: 1.032 | Acc: 64.93%
|
| 480 |
+
2025-03-09 20:09:07,774 - train - INFO - Epoch: 96 | Batch: 200 | Loss: 1.017 | Acc: 65.41%
|
| 481 |
+
2025-03-09 20:09:09,825 - train - INFO - Epoch: 96 | Batch: 300 | Loss: 1.017 | Acc: 65.49%
|
| 482 |
+
2025-03-09 20:09:12,898 - train - INFO - Epoch: 96 | Test Loss: 1.003 | Test Acc: 65.83%
|
| 483 |
+
2025-03-09 20:09:21,539 - train - INFO - Epoch: 97 | Batch: 0 | Loss: 0.992 | Acc: 66.41%
|
| 484 |
+
2025-03-09 20:09:23,513 - train - INFO - Epoch: 97 | Batch: 100 | Loss: 1.008 | Acc: 65.87%
|
| 485 |
+
2025-03-09 20:09:25,738 - train - INFO - Epoch: 97 | Batch: 200 | Loss: 1.015 | Acc: 65.68%
|
| 486 |
+
2025-03-09 20:09:27,822 - train - INFO - Epoch: 97 | Batch: 300 | Loss: 1.024 | Acc: 65.47%
|
| 487 |
+
2025-03-09 20:09:31,131 - train - INFO - Epoch: 97 | Test Loss: 0.978 | Test Acc: 67.57%
|
| 488 |
+
2025-03-09 20:09:31,294 - train - INFO - Epoch: 98 | Batch: 0 | Loss: 0.893 | Acc: 67.97%
|
| 489 |
+
2025-03-09 20:09:33,256 - train - INFO - Epoch: 98 | Batch: 100 | Loss: 1.005 | Acc: 65.52%
|
| 490 |
+
2025-03-09 20:09:35,255 - train - INFO - Epoch: 98 | Batch: 200 | Loss: 1.003 | Acc: 65.77%
|
| 491 |
+
2025-03-09 20:09:37,222 - train - INFO - Epoch: 98 | Batch: 300 | Loss: 1.001 | Acc: 66.07%
|
| 492 |
+
2025-03-09 20:09:40,328 - train - INFO - Epoch: 98 | Test Loss: 0.932 | Test Acc: 68.67%
|
| 493 |
+
2025-03-09 20:09:40,520 - train - INFO - Epoch: 99 | Batch: 0 | Loss: 0.896 | Acc: 66.41%
|
| 494 |
+
2025-03-09 20:09:42,505 - train - INFO - Epoch: 99 | Batch: 100 | Loss: 1.014 | Acc: 65.79%
|
| 495 |
+
2025-03-09 20:09:44,453 - train - INFO - Epoch: 99 | Batch: 200 | Loss: 1.009 | Acc: 65.97%
|
| 496 |
+
2025-03-09 20:09:46,594 - train - INFO - Epoch: 99 | Batch: 300 | Loss: 1.004 | Acc: 65.94%
|
| 497 |
+
2025-03-09 20:09:49,671 - train - INFO - Epoch: 99 | Test Loss: 0.956 | Test Acc: 68.30%
|
| 498 |
+
2025-03-09 20:09:49,866 - train - INFO - Epoch: 100 | Batch: 0 | Loss: 0.916 | Acc: 69.53%
|
| 499 |
+
2025-03-09 20:09:52,093 - train - INFO - Epoch: 100 | Batch: 100 | Loss: 1.005 | Acc: 65.68%
|
| 500 |
+
2025-03-09 20:09:54,201 - train - INFO - Epoch: 100 | Batch: 200 | Loss: 0.994 | Acc: 66.23%
|
| 501 |
+
2025-03-09 20:09:56,269 - train - INFO - Epoch: 100 | Batch: 300 | Loss: 0.995 | Acc: 66.23%
|
| 502 |
+
2025-03-09 20:09:59,443 - train - INFO - Epoch: 100 | Test Loss: 1.019 | Test Acc: 66.05%
|
| 503 |
+
2025-03-09 20:10:08,141 - train - INFO - 训练完成!
|
Image/AlexNet/code/train.py
ADDED
|
@@ -0,0 +1,42 @@
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|
| 1 |
+
import sys
|
| 2 |
+
import os
|
| 3 |
+
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
|
| 4 |
+
from utils.dataset_utils import get_cifar10_dataloaders
|
| 5 |
+
from utils.train_utils import train_model, train_model_data_augmentation, train_model_backdoor
|
| 6 |
+
from utils.parse_args import parse_args
|
| 7 |
+
from model import AlexNet
|
| 8 |
+
#args.train_type #0 for normal train, 1 for data aug train,2 for back door train
|
| 9 |
+
|
| 10 |
+
def main():
|
| 11 |
+
# 解析命令行参数
|
| 12 |
+
args = parse_args()
|
| 13 |
+
# 创建模型
|
| 14 |
+
model = AlexNet()
|
| 15 |
+
if args.train_type == '0':
|
| 16 |
+
# 获取数据加载器
|
| 17 |
+
trainloader, testloader = get_cifar10_dataloaders(batch_size=args.batch_size, local_dataset_path=args.dataset_path)
|
| 18 |
+
# 训练模型
|
| 19 |
+
train_model(
|
| 20 |
+
model=model,
|
| 21 |
+
trainloader=trainloader,
|
| 22 |
+
testloader=testloader,
|
| 23 |
+
epochs=args.epochs,
|
| 24 |
+
lr=args.lr,
|
| 25 |
+
device=f'cuda:{args.gpu}',
|
| 26 |
+
save_dir='../model',
|
| 27 |
+
model_name='alexnet',
|
| 28 |
+
layer_name='conv3.2'
|
| 29 |
+
)
|
| 30 |
+
elif args.train_type == '1':
|
| 31 |
+
train_model_data_augmentation(model, epochs=args.epochs, lr=args.lr, device=f'cuda:{args.gpu}',
|
| 32 |
+
save_dir='../model', model_name='alexnet',
|
| 33 |
+
batch_size=args.batch_size, num_workers=args.num_workers,
|
| 34 |
+
local_dataset_path=args.dataset_path)
|
| 35 |
+
elif args.train_type == '2':
|
| 36 |
+
train_model_backdoor(model, poison_ratio=0.1, target_label=0, epochs=args.epochs, lr=args.lr,
|
| 37 |
+
device=f'cuda:{args.gpu}', save_dir='../model', model_name='alexnet',
|
| 38 |
+
batch_size=args.batch_size, num_workers=args.num_workers,
|
| 39 |
+
local_dataset_path=args.dataset_path, layer_name='conv3.2')
|
| 40 |
+
|
| 41 |
+
if __name__ == '__main__':
|
| 42 |
+
main()
|
Image/AlexNet/dataset/.gitkeep
ADDED
|
File without changes
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Image/AlexNet/model/0/epoch1/embeddings.npy
ADDED
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+
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Image/AlexNet/model/0/epoch1/subject_model.pth
ADDED
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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Image/AlexNet/model/0/epoch10/embeddings.npy
ADDED
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@@ -0,0 +1,3 @@
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Image/AlexNet/model/0/epoch10/subject_model.pth
ADDED
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@@ -0,0 +1,3 @@
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|
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+
version https://git-lfs.github.com/spec/v1
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size 504030
|
Image/AlexNet/model/0/epoch11/embeddings.npy
ADDED
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@@ -0,0 +1,3 @@
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|
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+
version https://git-lfs.github.com/spec/v1
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size 102400128
|
Image/AlexNet/model/0/epoch11/subject_model.pth
ADDED
|
@@ -0,0 +1,3 @@
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|
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+
version https://git-lfs.github.com/spec/v1
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size 504030
|
Image/AlexNet/model/0/epoch12/embeddings.npy
ADDED
|
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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size 102400128
|
Image/AlexNet/model/0/epoch12/subject_model.pth
ADDED
|
@@ -0,0 +1,3 @@
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|
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+
version https://git-lfs.github.com/spec/v1
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size 504030
|
Image/AlexNet/model/0/epoch13/embeddings.npy
ADDED
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@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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size 102400128
|
Image/AlexNet/model/0/epoch13/subject_model.pth
ADDED
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@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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size 504030
|
Image/AlexNet/model/0/epoch14/embeddings.npy
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:1313f0b51793784f0f9dac212866d89e4d5100815bdfac64e478cd8294db245a
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+
size 102400128
|
Image/AlexNet/model/0/epoch14/subject_model.pth
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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|
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+
size 504030
|
Image/AlexNet/model/0/epoch15/embeddings.npy
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:4bae98bee14fde7e418d9170696bf1d58d7f6dc660029aa3ca398ebe36fe3a2b
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+
size 102400128
|
Image/AlexNet/model/0/epoch15/subject_model.pth
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 3 |
+
size 504030
|
Image/AlexNet/model/0/epoch16/embeddings.npy
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:18d92f53bf3de4f7990a36788dac7f2fe278e2a2fe910892c02927730bb4d157
|
| 3 |
+
size 102400128
|
Image/AlexNet/model/0/epoch16/subject_model.pth
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:71e3dde3dd78fdefd0103332ccfed0f1f6caaef52591f400211db0c2a5f75159
|
| 3 |
+
size 504030
|
Image/AlexNet/model/0/epoch17/embeddings.npy
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:63153e8eaa2813364e8274eed93c798b53fd83d648b3a3cb02d614da4249c7a9
|
| 3 |
+
size 102400128
|
Image/AlexNet/model/0/epoch17/subject_model.pth
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:4763ff84b8d47ec9168335351c43235bb16db45eed50b88e4cfb20f7830ba15a
|
| 3 |
+
size 504030
|
Image/AlexNet/model/0/epoch18/embeddings.npy
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
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oid sha256:4ab17898773f2697e0d27efb3e001cdb36b16d1e50c4120254a7516484fdb852
|
| 3 |
+
size 102400128
|
Image/AlexNet/model/0/epoch18/subject_model.pth
ADDED
|
@@ -0,0 +1,3 @@
|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
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oid sha256:890aa5282eceb12688bb2962d3efcb183f0ea9133763edfa4538c795f70a4f35
|
| 3 |
+
size 504030
|
Image/AlexNet/model/0/epoch19/embeddings.npy
ADDED
|
@@ -0,0 +1,3 @@
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