diff --git a/Image/MobileNetv1/code/backdoor_train.log b/Image/MobileNetv1/code/backdoor_train.log new file mode 100644 index 0000000000000000000000000000000000000000..63b87aad080331ff3f3055081d4dd5eeefd0b6c8 --- /dev/null +++ b/Image/MobileNetv1/code/backdoor_train.log @@ -0,0 +1,253 @@ +2025-03-14 19:09:54,932 - train - INFO - 开始训练 mobilenetv1 +2025-03-14 19:09:54,933 - train - INFO - 总轮数: 50, 学习率: 0.1, 设备: cuda:3 +2025-03-14 19:09:55,720 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.287 | Acc: 14.84% +2025-03-14 19:09:58,172 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.247 | Acc: 22.06% +2025-03-14 19:10:00,409 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 2.019 | Acc: 27.43% +2025-03-14 19:10:02,629 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 1.917 | Acc: 30.28% +2025-03-14 19:10:06,210 - train - INFO - Epoch: 1 | Test Loss: 1.615 | Test Acc: 40.02% +2025-03-14 19:10:06,614 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 1.759 | Acc: 34.38% +2025-03-14 19:10:08,951 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.579 | Acc: 42.30% +2025-03-14 19:10:11,186 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.559 | Acc: 43.21% +2025-03-14 19:10:13,281 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.532 | Acc: 44.51% +2025-03-14 19:10:16,823 - train - INFO - Epoch: 2 | Test Loss: 1.292 | Test Acc: 56.03% +2025-03-14 19:10:27,914 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 1.315 | Acc: 57.81% +2025-03-14 19:10:30,248 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 1.355 | Acc: 51.59% +2025-03-14 19:10:32,468 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 1.337 | Acc: 52.43% +2025-03-14 19:10:34,818 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 1.315 | Acc: 53.14% +2025-03-14 19:10:38,558 - train - INFO - Epoch: 3 | Test Loss: 1.169 | Test Acc: 61.16% +2025-03-14 19:10:38,776 - train - INFO - Epoch: 4 | Batch: 0 | Loss: 1.152 | Acc: 60.16% +2025-03-14 19:10:41,135 - train - INFO - Epoch: 4 | Batch: 100 | Loss: 1.196 | Acc: 57.92% +2025-03-14 19:10:43,449 - train - INFO - Epoch: 4 | Batch: 200 | Loss: 1.197 | Acc: 57.73% +2025-03-14 19:10:45,787 - train - INFO - Epoch: 4 | Batch: 300 | Loss: 1.185 | Acc: 58.38% +2025-03-14 19:10:49,233 - train - INFO - Epoch: 4 | Test Loss: 1.204 | Test Acc: 58.96% +2025-03-14 19:11:03,693 - train - INFO - Epoch: 5 | Batch: 0 | Loss: 1.159 | Acc: 57.03% +2025-03-14 19:11:05,965 - train - INFO - Epoch: 5 | Batch: 100 | Loss: 1.054 | Acc: 63.81% +2025-03-14 19:11:08,112 - train - INFO - Epoch: 5 | Batch: 200 | Loss: 1.034 | Acc: 64.64% +2025-03-14 19:11:10,338 - train - INFO - Epoch: 5 | Batch: 300 | Loss: 1.015 | Acc: 65.28% +2025-03-14 19:11:13,934 - train - INFO - Epoch: 5 | Test Loss: 1.095 | Test Acc: 62.68% +2025-03-14 19:11:14,109 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 0.886 | Acc: 67.97% +2025-03-14 19:11:16,464 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 0.905 | Acc: 68.84% +2025-03-14 19:11:18,737 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 0.907 | Acc: 68.79% +2025-03-14 19:11:20,976 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 0.896 | Acc: 69.40% +2025-03-14 19:11:24,630 - train - INFO - Epoch: 6 | Test Loss: 0.870 | Test Acc: 70.20% +2025-03-14 19:11:37,406 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 0.750 | Acc: 75.78% +2025-03-14 19:11:39,909 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 0.837 | Acc: 71.81% +2025-03-14 19:11:42,748 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 0.830 | Acc: 72.01% +2025-03-14 19:11:45,073 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 0.832 | Acc: 72.02% +2025-03-14 19:11:48,754 - train - INFO - Epoch: 7 | Test Loss: 1.018 | Test Acc: 66.08% +2025-03-14 19:11:48,979 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 0.791 | Acc: 76.56% +2025-03-14 19:11:51,445 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 0.814 | Acc: 72.74% +2025-03-14 19:11:53,792 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 0.802 | Acc: 73.14% +2025-03-14 19:11:56,185 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 0.798 | Acc: 73.27% +2025-03-14 19:11:59,650 - train - INFO - Epoch: 8 | Test Loss: 1.564 | Test Acc: 51.84% +2025-03-14 19:12:20,707 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 0.873 | Acc: 70.31% +2025-03-14 19:12:23,001 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 0.795 | Acc: 73.68% +2025-03-14 19:12:25,349 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 0.782 | Acc: 74.05% +2025-03-14 19:12:27,898 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 0.778 | Acc: 74.33% +2025-03-14 19:12:31,642 - train - INFO - Epoch: 9 | Test Loss: 0.997 | Test Acc: 67.90% +2025-03-14 19:12:31,831 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 0.761 | Acc: 72.66% +2025-03-14 19:12:34,141 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 0.760 | Acc: 74.59% +2025-03-14 19:12:36,393 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 0.768 | Acc: 74.46% +2025-03-14 19:12:38,757 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 0.759 | Acc: 74.91% +2025-03-14 19:12:42,378 - train - INFO - Epoch: 10 | Test Loss: 0.829 | Test Acc: 71.79% +2025-03-14 19:12:54,320 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 0.830 | Acc: 74.22% +2025-03-14 19:12:56,767 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 0.755 | Acc: 74.98% +2025-03-14 19:12:59,227 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 0.750 | Acc: 75.11% +2025-03-14 19:13:01,494 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 0.747 | Acc: 75.20% +2025-03-14 19:13:05,433 - train - INFO - Epoch: 11 | Test Loss: 0.930 | Test Acc: 68.93% +2025-03-14 19:13:05,678 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 0.874 | Acc: 71.09% +2025-03-14 19:13:08,001 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 0.735 | Acc: 75.70% +2025-03-14 19:13:10,287 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 0.739 | Acc: 75.56% +2025-03-14 19:13:12,549 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 0.740 | Acc: 75.46% +2025-03-14 19:13:16,175 - train - INFO - Epoch: 12 | Test Loss: 0.810 | Test Acc: 73.19% +2025-03-14 19:13:31,855 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 0.576 | Acc: 78.12% +2025-03-14 19:13:34,421 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 0.723 | Acc: 76.30% +2025-03-14 19:13:37,400 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 0.739 | Acc: 75.64% +2025-03-14 19:13:40,123 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 0.747 | Acc: 75.36% +2025-03-14 19:13:44,947 - train - INFO - Epoch: 13 | Test Loss: 0.765 | Test Acc: 74.70% +2025-03-14 19:13:45,257 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 0.848 | Acc: 71.88% +2025-03-14 19:13:47,794 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 0.730 | Acc: 75.41% +2025-03-14 19:13:50,315 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 0.742 | Acc: 74.98% +2025-03-14 19:13:53,154 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 0.736 | Acc: 75.30% +2025-03-14 19:13:57,281 - train - INFO - Epoch: 14 | Test Loss: 0.931 | Test Acc: 69.03% +2025-03-14 19:14:11,225 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 0.787 | Acc: 71.88% +2025-03-14 19:14:13,683 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 0.730 | Acc: 76.38% +2025-03-14 19:14:16,179 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 0.734 | Acc: 75.68% +2025-03-14 19:14:18,546 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 0.733 | Acc: 75.61% +2025-03-14 19:14:22,390 - train - INFO - Epoch: 15 | Test Loss: 0.856 | Test Acc: 71.84% +2025-03-14 19:14:22,639 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 0.737 | Acc: 76.56% +2025-03-14 19:14:25,041 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 0.735 | Acc: 75.31% +2025-03-14 19:14:27,479 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 0.726 | Acc: 75.86% +2025-03-14 19:14:29,797 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 0.721 | Acc: 76.03% +2025-03-14 19:14:33,561 - train - INFO - Epoch: 16 | Test Loss: 0.819 | Test Acc: 71.39% +2025-03-14 19:14:46,423 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 0.614 | Acc: 75.78% +2025-03-14 19:14:48,596 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 0.709 | Acc: 76.53% +2025-03-14 19:14:50,945 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 0.715 | Acc: 76.33% +2025-03-14 19:14:53,181 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 0.717 | Acc: 76.32% +2025-03-14 19:14:56,940 - train - INFO - Epoch: 17 | Test Loss: 0.954 | Test Acc: 68.53% +2025-03-14 19:14:57,178 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 0.913 | Acc: 68.75% +2025-03-14 19:14:59,356 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 0.721 | Acc: 76.18% +2025-03-14 19:15:01,720 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 0.720 | Acc: 76.11% +2025-03-14 19:15:04,039 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 0.715 | Acc: 76.38% +2025-03-14 19:15:07,794 - train - INFO - Epoch: 18 | Test Loss: 0.789 | Test Acc: 74.30% +2025-03-14 19:15:22,986 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 0.667 | Acc: 78.91% +2025-03-14 19:15:25,226 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 0.687 | Acc: 77.36% +2025-03-14 19:15:27,499 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 0.704 | Acc: 76.83% +2025-03-14 19:15:29,768 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 0.704 | Acc: 76.66% +2025-03-14 19:15:33,389 - train - INFO - Epoch: 19 | Test Loss: 0.824 | Test Acc: 72.96% +2025-03-14 19:15:33,636 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 0.968 | Acc: 71.09% +2025-03-14 19:15:35,904 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 0.699 | Acc: 77.06% +2025-03-14 19:15:38,257 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 0.688 | Acc: 77.30% +2025-03-14 19:15:40,549 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 0.696 | Acc: 76.91% +2025-03-14 19:15:44,675 - train - INFO - Epoch: 20 | Test Loss: 0.836 | Test Acc: 71.67% +2025-03-14 19:15:57,342 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 0.696 | Acc: 76.56% +2025-03-14 19:15:59,612 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 0.693 | Acc: 76.96% +2025-03-14 19:16:01,819 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 0.703 | Acc: 76.73% +2025-03-14 19:16:03,948 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 0.703 | Acc: 76.70% +2025-03-14 19:16:07,620 - train - INFO - Epoch: 21 | Test Loss: 1.056 | Test Acc: 65.78% +2025-03-14 19:16:07,894 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 0.583 | Acc: 82.81% +2025-03-14 19:16:10,453 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 0.667 | Acc: 77.94% +2025-03-14 19:16:13,181 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 0.679 | Acc: 77.41% +2025-03-14 19:16:15,606 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 0.687 | Acc: 77.18% +2025-03-14 19:16:19,360 - train - INFO - Epoch: 22 | Test Loss: 0.966 | Test Acc: 68.80% +2025-03-14 19:16:35,332 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 0.798 | Acc: 75.78% +2025-03-14 19:16:38,153 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 0.688 | Acc: 76.77% +2025-03-14 19:16:41,959 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 0.687 | Acc: 76.87% +2025-03-14 19:16:44,470 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 0.701 | Acc: 76.52% +2025-03-14 19:16:48,354 - train - INFO - Epoch: 23 | Test Loss: 0.811 | Test Acc: 72.64% +2025-03-14 19:16:48,619 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 0.537 | Acc: 81.25% +2025-03-14 19:16:50,852 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 0.677 | Acc: 77.72% +2025-03-14 19:16:53,012 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 0.688 | Acc: 77.31% +2025-03-14 19:16:55,183 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 0.694 | Acc: 77.04% +2025-03-14 19:16:58,919 - train - INFO - Epoch: 24 | Test Loss: 1.168 | Test Acc: 62.89% +2025-03-14 19:17:12,298 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 0.635 | Acc: 78.91% +2025-03-14 19:17:14,676 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 0.699 | Acc: 76.91% +2025-03-14 19:17:17,038 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 0.704 | Acc: 76.61% +2025-03-14 19:17:19,291 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 0.701 | Acc: 76.74% +2025-03-14 19:17:22,782 - train - INFO - Epoch: 25 | Test Loss: 0.900 | Test Acc: 70.88% +2025-03-14 19:17:23,024 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 0.771 | Acc: 78.91% +2025-03-14 19:17:25,266 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 0.689 | Acc: 77.17% +2025-03-14 19:17:27,505 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 0.686 | Acc: 77.43% +2025-03-14 19:17:29,738 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 0.681 | Acc: 77.55% +2025-03-14 19:17:33,357 - train - INFO - Epoch: 26 | Test Loss: 0.887 | Test Acc: 69.41% +2025-03-14 19:17:47,729 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 0.935 | Acc: 67.97% +2025-03-14 19:17:50,012 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 0.695 | Acc: 77.04% +2025-03-14 19:17:52,314 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 0.691 | Acc: 77.09% +2025-03-14 19:17:54,513 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 0.687 | Acc: 77.22% +2025-03-14 19:17:58,204 - train - INFO - Epoch: 27 | Test Loss: 0.839 | Test Acc: 71.77% +2025-03-14 19:17:58,457 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 0.611 | Acc: 77.34% +2025-03-14 19:18:01,634 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 0.684 | Acc: 77.61% +2025-03-14 19:18:04,239 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 0.687 | Acc: 77.29% +2025-03-14 19:18:06,548 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 0.683 | Acc: 77.63% +2025-03-14 19:18:10,199 - train - INFO - Epoch: 28 | Test Loss: 0.878 | Test Acc: 72.20% +2025-03-14 19:18:22,831 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 0.727 | Acc: 75.78% +2025-03-14 19:18:25,111 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 0.653 | Acc: 78.39% +2025-03-14 19:18:27,317 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 0.670 | Acc: 77.74% +2025-03-14 19:18:29,531 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 0.674 | Acc: 77.64% +2025-03-14 19:18:32,945 - train - INFO - Epoch: 29 | Test Loss: 0.713 | Test Acc: 75.58% +2025-03-14 19:18:33,192 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 0.707 | Acc: 75.78% +2025-03-14 19:18:35,432 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 0.668 | Acc: 77.89% +2025-03-14 19:18:37,646 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 0.676 | Acc: 77.69% +2025-03-14 19:18:39,890 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 0.678 | Acc: 77.52% +2025-03-14 19:18:43,361 - train - INFO - Epoch: 30 | Test Loss: 0.910 | Test Acc: 70.57% +2025-03-14 19:18:56,375 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 0.672 | Acc: 75.00% +2025-03-14 19:18:58,633 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 0.678 | Acc: 77.97% +2025-03-14 19:19:00,903 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 0.674 | Acc: 77.78% +2025-03-14 19:19:03,229 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 0.676 | Acc: 77.57% +2025-03-14 19:19:06,827 - train - INFO - Epoch: 31 | Test Loss: 0.711 | Test Acc: 76.07% +2025-03-14 19:19:07,048 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 0.726 | Acc: 75.78% +2025-03-14 19:19:09,285 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 0.674 | Acc: 77.79% +2025-03-14 19:19:11,605 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 0.674 | Acc: 77.73% +2025-03-14 19:19:14,191 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 0.674 | Acc: 77.61% +2025-03-14 19:19:17,846 - train - INFO - Epoch: 32 | Test Loss: 0.804 | Test Acc: 73.06% +2025-03-14 19:19:32,515 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 0.587 | Acc: 81.25% +2025-03-14 19:19:34,852 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 0.667 | Acc: 78.10% +2025-03-14 19:19:37,018 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 0.678 | Acc: 77.65% +2025-03-14 19:19:39,265 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 0.672 | Acc: 77.90% +2025-03-14 19:19:43,032 - train - INFO - Epoch: 33 | Test Loss: 0.826 | Test Acc: 72.40% +2025-03-14 19:19:43,270 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 0.642 | Acc: 77.34% +2025-03-14 19:19:45,527 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 0.669 | Acc: 78.19% +2025-03-14 19:19:47,866 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 0.678 | Acc: 77.76% +2025-03-14 19:19:50,287 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 0.670 | Acc: 77.87% +2025-03-14 19:19:53,948 - train - INFO - Epoch: 34 | Test Loss: 0.979 | Test Acc: 68.46% +2025-03-14 19:20:06,941 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 0.587 | Acc: 82.03% +2025-03-14 19:20:09,207 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 0.667 | Acc: 78.11% +2025-03-14 19:20:11,427 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 0.680 | Acc: 77.64% +2025-03-14 19:20:13,889 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 0.675 | Acc: 77.67% +2025-03-14 19:20:17,710 - train - INFO - Epoch: 35 | Test Loss: 0.681 | Test Acc: 77.46% +2025-03-14 19:20:17,961 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 0.571 | Acc: 83.59% +2025-03-14 19:20:20,297 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 0.670 | Acc: 77.85% +2025-03-14 19:20:22,840 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 0.671 | Acc: 77.67% +2025-03-14 19:20:25,126 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 0.681 | Acc: 77.38% +2025-03-14 19:20:28,970 - train - INFO - Epoch: 36 | Test Loss: 0.678 | Test Acc: 77.77% +2025-03-14 19:20:43,295 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 0.684 | Acc: 81.25% +2025-03-14 19:20:45,944 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 0.665 | Acc: 77.61% +2025-03-14 19:20:48,513 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 0.666 | Acc: 77.82% +2025-03-14 19:20:51,045 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 0.669 | Acc: 77.77% +2025-03-14 19:20:55,419 - train - INFO - Epoch: 37 | Test Loss: 0.651 | Test Acc: 77.25% +2025-03-14 19:20:55,696 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 0.694 | Acc: 75.78% +2025-03-14 19:20:58,163 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 0.668 | Acc: 78.10% +2025-03-14 19:21:00,532 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 0.674 | Acc: 77.93% +2025-03-14 19:21:02,807 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 0.670 | Acc: 77.89% +2025-03-14 19:21:06,493 - train - INFO - Epoch: 38 | Test Loss: 0.765 | Test Acc: 74.16% +2025-03-14 19:21:20,685 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 0.699 | Acc: 82.03% +2025-03-14 19:21:23,093 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 0.645 | Acc: 78.88% +2025-03-14 19:21:25,393 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 0.646 | Acc: 78.84% +2025-03-14 19:21:27,649 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 0.654 | Acc: 78.62% +2025-03-14 19:21:31,887 - train - INFO - Epoch: 39 | Test Loss: 0.927 | Test Acc: 70.27% +2025-03-14 19:21:32,129 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 0.591 | Acc: 79.69% +2025-03-14 19:21:34,380 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 0.673 | Acc: 77.82% +2025-03-14 19:21:36,784 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 0.673 | Acc: 77.90% +2025-03-14 19:21:39,293 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 0.671 | Acc: 77.82% +2025-03-14 19:21:43,148 - train - INFO - Epoch: 40 | Test Loss: 0.775 | Test Acc: 73.66% +2025-03-14 19:21:55,919 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 0.718 | Acc: 74.22% +2025-03-14 19:21:58,347 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 0.662 | Acc: 78.08% +2025-03-14 19:22:00,670 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 0.675 | Acc: 77.63% +2025-03-14 19:22:03,094 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 0.661 | Acc: 78.06% +2025-03-14 19:22:06,604 - train - INFO - Epoch: 41 | Test Loss: 0.766 | Test Acc: 74.54% +2025-03-14 19:22:06,872 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 0.607 | Acc: 80.47% +2025-03-14 19:22:09,147 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 0.685 | Acc: 77.13% +2025-03-14 19:22:11,404 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 0.681 | Acc: 77.10% +2025-03-14 19:22:13,667 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 0.670 | Acc: 77.46% +2025-03-14 19:22:17,327 - train - INFO - Epoch: 42 | Test Loss: 0.736 | Test Acc: 74.75% +2025-03-14 19:22:28,916 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 0.611 | Acc: 81.25% +2025-03-14 19:22:31,177 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 0.655 | Acc: 78.44% +2025-03-14 19:22:33,409 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 0.670 | Acc: 77.85% +2025-03-14 19:22:35,741 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 0.669 | Acc: 77.98% +2025-03-14 19:22:39,524 - train - INFO - Epoch: 43 | Test Loss: 1.170 | Test Acc: 64.85% +2025-03-14 19:22:39,772 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 0.706 | Acc: 74.22% +2025-03-14 19:22:42,140 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 0.664 | Acc: 78.23% +2025-03-14 19:22:44,572 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 0.657 | Acc: 78.47% +2025-03-14 19:22:46,949 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 0.656 | Acc: 78.45% +2025-03-14 19:22:50,567 - train - INFO - Epoch: 44 | Test Loss: 1.059 | Test Acc: 64.82% +2025-03-14 19:23:06,353 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 0.930 | Acc: 68.75% +2025-03-14 19:23:09,089 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 0.655 | Acc: 78.57% +2025-03-14 19:23:11,689 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 0.655 | Acc: 78.47% +2025-03-14 19:23:14,039 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 0.656 | Acc: 78.41% +2025-03-14 19:23:17,636 - train - INFO - Epoch: 45 | Test Loss: 0.684 | Test Acc: 76.39% +2025-03-14 19:23:17,964 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 0.779 | Acc: 76.56% +2025-03-14 19:23:20,239 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 0.654 | Acc: 78.95% +2025-03-14 19:23:22,457 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 0.660 | Acc: 78.28% +2025-03-14 19:23:24,820 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 0.661 | Acc: 78.31% +2025-03-14 19:23:28,367 - train - INFO - Epoch: 46 | Test Loss: 0.869 | Test Acc: 71.58% +2025-03-14 19:23:45,584 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 0.885 | Acc: 75.00% +2025-03-14 19:23:47,800 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 0.659 | Acc: 78.40% +2025-03-14 19:23:50,426 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 0.657 | Acc: 78.29% +2025-03-14 19:23:52,593 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 0.657 | Acc: 78.39% +2025-03-14 19:23:56,224 - train - INFO - Epoch: 47 | Test Loss: 0.772 | Test Acc: 74.50% +2025-03-14 19:23:56,449 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 0.706 | Acc: 79.69% +2025-03-14 19:23:58,661 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 0.649 | Acc: 78.47% +2025-03-14 19:24:00,936 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 0.659 | Acc: 78.07% +2025-03-14 19:24:03,223 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 0.658 | Acc: 78.10% +2025-03-14 19:24:06,966 - train - INFO - Epoch: 48 | Test Loss: 1.209 | Test Acc: 61.32% +2025-03-14 19:24:22,516 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 0.631 | Acc: 79.69% +2025-03-14 19:24:24,748 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 0.648 | Acc: 78.53% +2025-03-14 19:24:27,130 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 0.646 | Acc: 78.70% +2025-03-14 19:24:29,448 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 0.647 | Acc: 78.50% +2025-03-14 19:24:33,064 - train - INFO - Epoch: 49 | Test Loss: 0.745 | Test Acc: 75.76% +2025-03-14 19:24:33,358 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 0.614 | Acc: 82.03% +2025-03-14 19:24:35,647 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 0.643 | Acc: 78.58% +2025-03-14 19:24:37,770 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 0.652 | Acc: 78.14% +2025-03-14 19:24:40,021 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 0.655 | Acc: 78.17% +2025-03-14 19:24:43,596 - train - INFO - Epoch: 50 | Test Loss: 0.763 | Test Acc: 74.79% +2025-03-14 19:24:54,655 - train - INFO - 训练完成! diff --git a/Image/MobileNetv1/code/train.log b/Image/MobileNetv1/code/train.log new file mode 100644 index 0000000000000000000000000000000000000000..5946a89fa5d75bfc8a4375654182b955b9f7c4a5 --- /dev/null +++ b/Image/MobileNetv1/code/train.log @@ -0,0 +1,253 @@ +2025-03-14 19:09:52,411 - train - INFO - 开始训练 mobilenetv1 +2025-03-14 19:09:52,412 - train - INFO - 总轮数: 50, 学习率: 0.1, 设备: cuda:3 +2025-03-14 19:09:53,266 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.315 | Acc: 9.38% +2025-03-14 19:09:55,666 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.226 | Acc: 22.79% +2025-03-14 19:09:58,252 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 1.966 | Acc: 29.56% +2025-03-14 19:10:00,487 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 1.834 | Acc: 33.79% +2025-03-14 19:10:04,050 - train - INFO - Epoch: 1 | Test Loss: 1.396 | Test Acc: 49.59% +2025-03-14 19:10:04,535 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 1.433 | Acc: 46.09% +2025-03-14 19:10:06,928 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.386 | Acc: 50.38% +2025-03-14 19:10:09,156 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.349 | Acc: 51.67% +2025-03-14 19:10:11,286 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.318 | Acc: 52.81% +2025-03-14 19:10:14,730 - train - INFO - Epoch: 2 | Test Loss: 1.191 | Test Acc: 57.46% +2025-03-14 19:10:26,131 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 1.127 | Acc: 59.38% +2025-03-14 19:10:28,403 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 1.119 | Acc: 60.50% +2025-03-14 19:10:30,681 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 1.100 | Acc: 61.01% +2025-03-14 19:10:32,967 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 1.080 | Acc: 61.67% +2025-03-14 19:10:36,884 - train - INFO - Epoch: 3 | Test Loss: 1.027 | Test Acc: 64.31% +2025-03-14 19:10:37,134 - train - INFO - Epoch: 4 | Batch: 0 | Loss: 0.911 | Acc: 65.62% +2025-03-14 19:10:39,401 - train - INFO - Epoch: 4 | Batch: 100 | Loss: 0.922 | Acc: 67.82% +2025-03-14 19:10:41,845 - train - INFO - Epoch: 4 | Batch: 200 | Loss: 0.921 | Acc: 68.05% +2025-03-14 19:10:44,179 - train - INFO - Epoch: 4 | Batch: 300 | Loss: 0.911 | Acc: 68.51% +2025-03-14 19:10:47,847 - train - INFO - Epoch: 4 | Test Loss: 0.893 | Test Acc: 69.71% +2025-03-14 19:11:00,025 - train - INFO - Epoch: 5 | Batch: 0 | Loss: 0.853 | Acc: 71.09% +2025-03-14 19:11:02,275 - train - INFO - Epoch: 5 | Batch: 100 | Loss: 0.833 | Acc: 71.18% +2025-03-14 19:11:04,597 - train - INFO - Epoch: 5 | Batch: 200 | Loss: 0.815 | Acc: 71.77% +2025-03-14 19:11:06,880 - train - INFO - Epoch: 5 | Batch: 300 | Loss: 0.815 | Acc: 71.98% +2025-03-14 19:11:10,432 - train - INFO - Epoch: 5 | Test Loss: 0.900 | Test Acc: 70.22% +2025-03-14 19:11:10,648 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 0.720 | Acc: 76.56% +2025-03-14 19:11:12,878 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 0.763 | Acc: 73.74% +2025-03-14 19:11:15,152 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 0.757 | Acc: 74.00% +2025-03-14 19:11:17,487 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 0.755 | Acc: 74.00% +2025-03-14 19:11:21,101 - train - INFO - Epoch: 6 | Test Loss: 0.776 | Test Acc: 74.17% +2025-03-14 19:11:33,437 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 0.654 | Acc: 75.78% +2025-03-14 19:11:36,120 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 0.734 | Acc: 74.95% +2025-03-14 19:11:38,748 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 0.737 | Acc: 74.85% +2025-03-14 19:11:41,483 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 0.731 | Acc: 74.99% +2025-03-14 19:11:45,749 - train - INFO - Epoch: 7 | Test Loss: 0.809 | Test Acc: 72.85% +2025-03-14 19:11:45,976 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 0.592 | Acc: 75.78% +2025-03-14 19:11:48,320 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 0.693 | Acc: 76.28% +2025-03-14 19:11:50,851 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 0.702 | Acc: 75.98% +2025-03-14 19:11:53,161 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 0.702 | Acc: 75.96% +2025-03-14 19:11:56,956 - train - INFO - Epoch: 8 | Test Loss: 1.054 | Test Acc: 64.26% +2025-03-14 19:12:08,750 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 0.632 | Acc: 80.47% +2025-03-14 19:12:11,380 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 0.683 | Acc: 77.00% +2025-03-14 19:12:13,700 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 0.697 | Acc: 76.47% +2025-03-14 19:12:15,791 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 0.694 | Acc: 76.50% +2025-03-14 19:12:18,944 - train - INFO - Epoch: 9 | Test Loss: 1.166 | Test Acc: 63.32% +2025-03-14 19:12:19,160 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 0.620 | Acc: 78.12% +2025-03-14 19:12:21,209 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 0.683 | Acc: 76.84% +2025-03-14 19:12:23,727 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 0.674 | Acc: 77.05% +2025-03-14 19:12:26,185 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 0.684 | Acc: 76.82% +2025-03-14 19:12:30,064 - train - INFO - Epoch: 10 | Test Loss: 0.677 | Test Acc: 76.82% +2025-03-14 19:12:42,009 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 0.804 | Acc: 72.66% +2025-03-14 19:12:44,567 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 0.678 | Acc: 77.30% +2025-03-14 19:12:47,101 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 0.662 | Acc: 77.78% +2025-03-14 19:12:49,296 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 0.667 | Acc: 77.48% +2025-03-14 19:12:53,279 - train - INFO - Epoch: 11 | Test Loss: 0.866 | Test Acc: 70.78% +2025-03-14 19:12:53,592 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 0.626 | Acc: 82.03% +2025-03-14 19:12:56,135 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 0.666 | Acc: 77.05% +2025-03-14 19:12:58,583 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 0.667 | Acc: 77.21% +2025-03-14 19:13:00,967 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 0.664 | Acc: 77.27% +2025-03-14 19:13:04,885 - train - INFO - Epoch: 12 | Test Loss: 0.848 | Test Acc: 71.45% +2025-03-14 19:13:17,833 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 0.646 | Acc: 77.34% +2025-03-14 19:13:20,812 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 0.677 | Acc: 76.84% +2025-03-14 19:13:23,635 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 0.683 | Acc: 76.69% +2025-03-14 19:13:26,191 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 0.680 | Acc: 76.85% +2025-03-14 19:13:30,593 - train - INFO - Epoch: 13 | Test Loss: 0.760 | Test Acc: 74.39% +2025-03-14 19:13:30,841 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 0.619 | Acc: 82.03% +2025-03-14 19:13:33,396 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 0.655 | Acc: 78.09% +2025-03-14 19:13:35,996 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 0.652 | Acc: 78.04% +2025-03-14 19:13:38,805 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 0.654 | Acc: 78.02% +2025-03-14 19:13:42,959 - train - INFO - Epoch: 14 | Test Loss: 0.912 | Test Acc: 70.57% +2025-03-14 19:13:55,836 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 0.699 | Acc: 78.12% +2025-03-14 19:13:58,506 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 0.658 | Acc: 77.43% +2025-03-14 19:14:01,166 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 0.651 | Acc: 77.77% +2025-03-14 19:14:03,871 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 0.651 | Acc: 77.81% +2025-03-14 19:14:07,939 - train - INFO - Epoch: 15 | Test Loss: 0.857 | Test Acc: 71.50% +2025-03-14 19:14:08,186 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 0.714 | Acc: 74.22% +2025-03-14 19:14:10,731 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 0.634 | Acc: 78.77% +2025-03-14 19:14:13,222 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 0.631 | Acc: 78.96% +2025-03-14 19:14:15,728 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 0.642 | Acc: 78.45% +2025-03-14 19:14:19,572 - train - INFO - Epoch: 16 | Test Loss: 0.800 | Test Acc: 74.04% +2025-03-14 19:14:31,479 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 0.904 | Acc: 69.53% +2025-03-14 19:14:33,806 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 0.636 | Acc: 78.62% +2025-03-14 19:14:36,052 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 0.636 | Acc: 78.54% +2025-03-14 19:14:38,377 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 0.635 | Acc: 78.66% +2025-03-14 19:14:42,061 - train - INFO - Epoch: 17 | Test Loss: 0.753 | Test Acc: 75.02% +2025-03-14 19:14:42,233 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 0.663 | Acc: 75.78% +2025-03-14 19:14:44,554 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 0.627 | Acc: 78.36% +2025-03-14 19:14:46,924 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 0.636 | Acc: 78.22% +2025-03-14 19:14:49,130 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 0.635 | Acc: 78.31% +2025-03-14 19:14:52,651 - train - INFO - Epoch: 18 | Test Loss: 0.824 | Test Acc: 74.00% +2025-03-14 19:15:04,182 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 0.718 | Acc: 75.78% +2025-03-14 19:15:06,607 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 0.627 | Acc: 78.48% +2025-03-14 19:15:08,889 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 0.629 | Acc: 78.63% +2025-03-14 19:15:11,168 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 0.632 | Acc: 78.60% +2025-03-14 19:15:14,679 - train - INFO - Epoch: 19 | Test Loss: 0.860 | Test Acc: 71.95% +2025-03-14 19:15:14,903 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 0.713 | Acc: 71.88% +2025-03-14 19:15:17,436 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 0.613 | Acc: 79.31% +2025-03-14 19:15:19,801 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 0.618 | Acc: 78.89% +2025-03-14 19:15:22,138 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 0.625 | Acc: 78.67% +2025-03-14 19:15:25,794 - train - INFO - Epoch: 20 | Test Loss: 0.814 | Test Acc: 72.63% +2025-03-14 19:15:37,215 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 0.545 | Acc: 80.47% +2025-03-14 19:15:39,531 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 0.618 | Acc: 79.42% +2025-03-14 19:15:42,160 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 0.623 | Acc: 79.14% +2025-03-14 19:15:44,548 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 0.621 | Acc: 79.13% +2025-03-14 19:15:48,266 - train - INFO - Epoch: 21 | Test Loss: 0.772 | Test Acc: 74.04% +2025-03-14 19:15:48,450 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 0.582 | Acc: 82.81% +2025-03-14 19:15:50,889 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 0.625 | Acc: 78.47% +2025-03-14 19:15:53,306 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 0.617 | Acc: 78.98% +2025-03-14 19:15:55,517 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 0.619 | Acc: 78.96% +2025-03-14 19:15:58,908 - train - INFO - Epoch: 22 | Test Loss: 0.841 | Test Acc: 72.71% +2025-03-14 19:16:11,475 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 0.794 | Acc: 75.00% +2025-03-14 19:16:14,047 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 0.600 | Acc: 79.59% +2025-03-14 19:16:16,528 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 0.609 | Acc: 79.28% +2025-03-14 19:16:18,937 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 0.614 | Acc: 79.13% +2025-03-14 19:16:22,747 - train - INFO - Epoch: 23 | Test Loss: 0.636 | Test Acc: 78.55% +2025-03-14 19:16:23,032 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 0.638 | Acc: 73.44% +2025-03-14 19:16:25,582 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 0.597 | Acc: 79.85% +2025-03-14 19:16:28,077 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 0.613 | Acc: 79.45% +2025-03-14 19:16:30,547 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 0.615 | Acc: 79.25% +2025-03-14 19:16:35,247 - train - INFO - Epoch: 24 | Test Loss: 0.761 | Test Acc: 74.45% +2025-03-14 19:16:52,451 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 0.606 | Acc: 77.34% +2025-03-14 19:16:54,634 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 0.593 | Acc: 79.85% +2025-03-14 19:16:56,947 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 0.596 | Acc: 79.71% +2025-03-14 19:16:59,193 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 0.604 | Acc: 79.53% +2025-03-14 19:17:03,197 - train - INFO - Epoch: 25 | Test Loss: 0.733 | Test Acc: 75.32% +2025-03-14 19:17:03,436 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 0.550 | Acc: 79.69% +2025-03-14 19:17:05,700 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 0.611 | Acc: 79.37% +2025-03-14 19:17:08,156 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 0.602 | Acc: 79.71% +2025-03-14 19:17:10,854 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 0.607 | Acc: 79.50% +2025-03-14 19:17:14,903 - train - INFO - Epoch: 26 | Test Loss: 0.837 | Test Acc: 71.82% +2025-03-14 19:17:28,190 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 0.728 | Acc: 73.44% +2025-03-14 19:17:30,383 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 0.595 | Acc: 80.10% +2025-03-14 19:17:32,712 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 0.592 | Acc: 80.34% +2025-03-14 19:17:34,992 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 0.602 | Acc: 79.93% +2025-03-14 19:17:39,085 - train - INFO - Epoch: 27 | Test Loss: 0.940 | Test Acc: 68.79% +2025-03-14 19:17:39,382 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 0.579 | Acc: 78.12% +2025-03-14 19:17:41,788 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 0.601 | Acc: 79.42% +2025-03-14 19:17:43,931 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 0.607 | Acc: 79.28% +2025-03-14 19:17:46,181 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 0.608 | Acc: 79.43% +2025-03-14 19:17:50,102 - train - INFO - Epoch: 28 | Test Loss: 0.738 | Test Acc: 75.43% +2025-03-14 19:18:03,137 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 0.392 | Acc: 87.50% +2025-03-14 19:18:05,602 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 0.578 | Acc: 80.04% +2025-03-14 19:18:07,998 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 0.587 | Acc: 80.07% +2025-03-14 19:18:10,390 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 0.594 | Acc: 79.86% +2025-03-14 19:18:14,256 - train - INFO - Epoch: 29 | Test Loss: 0.868 | Test Acc: 70.16% +2025-03-14 19:18:14,469 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 0.523 | Acc: 82.81% +2025-03-14 19:18:16,749 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 0.600 | Acc: 79.69% +2025-03-14 19:18:19,110 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 0.597 | Acc: 79.75% +2025-03-14 19:18:21,392 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 0.603 | Acc: 79.53% +2025-03-14 19:18:25,247 - train - INFO - Epoch: 30 | Test Loss: 0.804 | Test Acc: 73.83% +2025-03-14 19:18:37,557 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 0.571 | Acc: 80.47% +2025-03-14 19:18:39,806 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 0.581 | Acc: 80.70% +2025-03-14 19:18:42,069 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 0.588 | Acc: 80.17% +2025-03-14 19:18:44,274 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 0.598 | Acc: 79.81% +2025-03-14 19:18:48,074 - train - INFO - Epoch: 31 | Test Loss: 0.635 | Test Acc: 77.69% +2025-03-14 19:18:48,403 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 0.524 | Acc: 82.03% +2025-03-14 19:18:50,787 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 0.593 | Acc: 79.94% +2025-03-14 19:18:53,111 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 0.596 | Acc: 79.82% +2025-03-14 19:18:55,304 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 0.594 | Acc: 79.85% +2025-03-14 19:18:58,912 - train - INFO - Epoch: 32 | Test Loss: 0.803 | Test Acc: 72.32% +2025-03-14 19:19:10,428 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 0.504 | Acc: 84.38% +2025-03-14 19:19:12,672 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 0.585 | Acc: 79.99% +2025-03-14 19:19:15,130 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 0.591 | Acc: 80.00% +2025-03-14 19:19:17,400 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 0.594 | Acc: 79.90% +2025-03-14 19:19:21,074 - train - INFO - Epoch: 33 | Test Loss: 0.728 | Test Acc: 75.99% +2025-03-14 19:19:21,325 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 0.505 | Acc: 84.38% +2025-03-14 19:19:23,582 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 0.579 | Acc: 80.73% +2025-03-14 19:19:25,811 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 0.591 | Acc: 80.00% +2025-03-14 19:19:28,143 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 0.597 | Acc: 79.88% +2025-03-14 19:19:31,854 - train - INFO - Epoch: 34 | Test Loss: 0.923 | Test Acc: 70.57% +2025-03-14 19:19:44,699 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 0.456 | Acc: 85.16% +2025-03-14 19:19:47,040 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 0.579 | Acc: 80.26% +2025-03-14 19:19:49,476 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 0.592 | Acc: 79.92% +2025-03-14 19:19:51,834 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 0.590 | Acc: 79.92% +2025-03-14 19:19:55,647 - train - INFO - Epoch: 35 | Test Loss: 0.719 | Test Acc: 75.56% +2025-03-14 19:19:55,832 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 0.627 | Acc: 78.91% +2025-03-14 19:19:58,103 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 0.567 | Acc: 80.92% +2025-03-14 19:20:00,453 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 0.583 | Acc: 80.37% +2025-03-14 19:20:02,728 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 0.585 | Acc: 80.31% +2025-03-14 19:20:06,322 - train - INFO - Epoch: 36 | Test Loss: 0.740 | Test Acc: 75.07% +2025-03-14 19:20:18,017 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 0.633 | Acc: 80.47% +2025-03-14 19:20:20,274 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 0.561 | Acc: 81.09% +2025-03-14 19:20:22,825 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 0.574 | Acc: 80.56% +2025-03-14 19:20:25,118 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 0.575 | Acc: 80.53% +2025-03-14 19:20:28,973 - train - INFO - Epoch: 37 | Test Loss: 0.727 | Test Acc: 75.90% +2025-03-14 19:20:29,339 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 0.595 | Acc: 80.47% +2025-03-14 19:20:31,652 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 0.571 | Acc: 80.77% +2025-03-14 19:20:34,298 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 0.569 | Acc: 80.84% +2025-03-14 19:20:37,043 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 0.571 | Acc: 80.68% +2025-03-14 19:20:42,009 - train - INFO - Epoch: 38 | Test Loss: 0.678 | Test Acc: 77.55% +2025-03-14 19:20:57,971 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 0.579 | Acc: 78.12% +2025-03-14 19:21:00,491 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 0.603 | Acc: 79.55% +2025-03-14 19:21:02,692 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 0.588 | Acc: 80.21% +2025-03-14 19:21:04,962 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 0.583 | Acc: 80.22% +2025-03-14 19:21:08,498 - train - INFO - Epoch: 39 | Test Loss: 0.630 | Test Acc: 79.20% +2025-03-14 19:21:08,743 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 0.506 | Acc: 82.81% +2025-03-14 19:21:11,357 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 0.572 | Acc: 80.66% +2025-03-14 19:21:13,832 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 0.580 | Acc: 80.50% +2025-03-14 19:21:16,254 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 0.576 | Acc: 80.58% +2025-03-14 19:21:19,990 - train - INFO - Epoch: 40 | Test Loss: 0.698 | Test Acc: 77.19% +2025-03-14 19:21:33,933 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 0.647 | Acc: 73.44% +2025-03-14 19:21:36,385 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 0.592 | Acc: 79.76% +2025-03-14 19:21:38,741 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 0.592 | Acc: 79.90% +2025-03-14 19:21:41,132 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 0.591 | Acc: 79.99% +2025-03-14 19:21:45,047 - train - INFO - Epoch: 41 | Test Loss: 0.694 | Test Acc: 77.17% +2025-03-14 19:21:45,309 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 0.585 | Acc: 78.91% +2025-03-14 19:21:47,785 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 0.580 | Acc: 80.58% +2025-03-14 19:21:50,283 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 0.583 | Acc: 80.39% +2025-03-14 19:21:52,576 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 0.581 | Acc: 80.29% +2025-03-14 19:21:56,504 - train - INFO - Epoch: 42 | Test Loss: 0.640 | Test Acc: 78.78% +2025-03-14 19:22:09,412 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 0.661 | Acc: 77.34% +2025-03-14 19:22:11,772 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 0.577 | Acc: 80.29% +2025-03-14 19:22:13,947 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 0.573 | Acc: 80.45% +2025-03-14 19:22:16,276 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 0.575 | Acc: 80.39% +2025-03-14 19:22:19,982 - train - INFO - Epoch: 43 | Test Loss: 0.761 | Test Acc: 75.18% +2025-03-14 19:22:20,244 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 0.504 | Acc: 83.59% +2025-03-14 19:22:22,549 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 0.558 | Acc: 81.34% +2025-03-14 19:22:25,088 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 0.568 | Acc: 80.99% +2025-03-14 19:22:27,330 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 0.574 | Acc: 80.70% +2025-03-14 19:22:31,247 - train - INFO - Epoch: 44 | Test Loss: 0.710 | Test Acc: 76.16% +2025-03-14 19:22:46,477 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 0.561 | Acc: 78.91% +2025-03-14 19:22:48,835 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 0.550 | Acc: 81.54% +2025-03-14 19:22:51,134 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 0.554 | Acc: 81.12% +2025-03-14 19:22:53,457 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 0.562 | Acc: 80.82% +2025-03-14 19:22:57,455 - train - INFO - Epoch: 45 | Test Loss: 0.826 | Test Acc: 73.68% +2025-03-14 19:22:57,715 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 0.513 | Acc: 83.59% +2025-03-14 19:23:00,031 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 0.579 | Acc: 80.21% +2025-03-14 19:23:02,378 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 0.576 | Acc: 80.56% +2025-03-14 19:23:04,667 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 0.579 | Acc: 80.41% +2025-03-14 19:23:09,125 - train - INFO - Epoch: 46 | Test Loss: 0.757 | Test Acc: 75.72% +2025-03-14 19:23:23,982 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 0.391 | Acc: 87.50% +2025-03-14 19:23:26,330 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 0.567 | Acc: 80.68% +2025-03-14 19:23:28,656 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 0.569 | Acc: 80.55% +2025-03-14 19:23:30,938 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 0.564 | Acc: 80.83% +2025-03-14 19:23:35,580 - train - INFO - Epoch: 47 | Test Loss: 0.697 | Test Acc: 76.91% +2025-03-14 19:23:35,874 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 0.568 | Acc: 82.03% +2025-03-14 19:23:39,159 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 0.556 | Acc: 81.37% +2025-03-14 19:23:41,720 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 0.562 | Acc: 81.03% +2025-03-14 19:23:44,018 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 0.566 | Acc: 80.92% +2025-03-14 19:23:47,764 - train - INFO - Epoch: 48 | Test Loss: 0.740 | Test Acc: 76.44% +2025-03-14 19:24:03,458 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 0.434 | Acc: 84.38% +2025-03-14 19:24:06,028 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 0.557 | Acc: 81.14% +2025-03-14 19:24:08,540 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 0.567 | Acc: 80.76% +2025-03-14 19:24:11,018 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 0.570 | Acc: 80.54% +2025-03-14 19:24:14,809 - train - INFO - Epoch: 49 | Test Loss: 0.645 | Test Acc: 77.99% +2025-03-14 19:24:15,220 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 0.661 | Acc: 82.03% +2025-03-14 19:24:17,452 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 0.553 | Acc: 81.09% +2025-03-14 19:24:19,678 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 0.553 | Acc: 81.04% +2025-03-14 19:24:21,988 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 0.560 | Acc: 80.89% +2025-03-14 19:24:25,737 - train - INFO - Epoch: 50 | Test Loss: 0.719 | Test Acc: 75.84% +2025-03-14 19:24:43,173 - train - INFO - 训练完成! diff --git a/Image/MobileNetv1/code/train.py b/Image/MobileNetv1/code/train.py index 231f51e537aa59168ddf538eacf53a6e29ee4ccf..2a2e5199195598ae6e359ed2c4746e79ba022e29 100644 --- a/Image/MobileNetv1/code/train.py +++ b/Image/MobileNetv1/code/train.py @@ -27,7 +27,7 @@ def main(): save_dir='../model', model_name='mobilenetv1', save_type='0', - layer_name='conv2', + layer_name='layers.12', interval=2 ) elif args.train_type == '1': @@ -55,7 +55,7 @@ def main(): batch_size=args.batch_size, num_workers=args.num_workers, local_dataset_path=args.dataset_path, - layer_name='conv2', + layer_name='layers.12', interval=2 ) diff --git a/Image/MobileNetv1/model/0/epoch1/embeddings.npy b/Image/MobileNetv1/model/0/epoch1/embeddings.npy new file mode 100644 index 0000000000000000000000000000000000000000..e16865fc9b5f3df85bf3fec43ed435b610124b3e --- /dev/null +++ b/Image/MobileNetv1/model/0/epoch1/embeddings.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7d15c14c39ec8d8dcfa9aaca55077ec6edeecc88d114c7e722d682fec1b12825 +size 819200128 diff --git 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Acc: 30.59% +2025-03-14 19:11:30,570 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 1.814 | Acc: 35.40% +2025-03-14 19:11:35,652 - train - INFO - Epoch: 1 | Test Loss: 1.265 | Test Acc: 54.20% +2025-03-14 19:11:36,111 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 1.408 | Acc: 50.00% +2025-03-14 19:11:39,787 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.257 | Acc: 54.22% +2025-03-14 19:11:43,553 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.201 | Acc: 56.56% +2025-03-14 19:11:47,009 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.161 | Acc: 58.18% +2025-03-14 19:11:51,725 - train - INFO - Epoch: 2 | Test Loss: 1.035 | Test Acc: 62.88% +2025-03-14 19:12:01,997 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 0.862 | Acc: 62.50% +2025-03-14 19:12:05,402 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 0.967 | Acc: 65.53% +2025-03-14 19:12:09,177 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 0.951 | Acc: 66.04% +2025-03-14 19:12:12,828 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 0.927 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Acc: 71.99% +2025-03-14 19:12:57,797 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 0.766 | Acc: 74.22% +2025-03-14 19:13:01,161 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 0.666 | Acc: 76.72% +2025-03-14 19:13:04,549 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 0.660 | Acc: 77.04% +2025-03-14 19:13:07,812 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 0.663 | Acc: 76.98% +2025-03-14 19:13:12,288 - train - INFO - Epoch: 6 | Test Loss: 0.724 | Test Acc: 74.58% +2025-03-14 19:13:25,152 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 0.630 | Acc: 79.69% +2025-03-14 19:13:28,605 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 0.623 | Acc: 78.57% +2025-03-14 19:13:32,366 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 0.638 | Acc: 77.99% +2025-03-14 19:13:36,038 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 0.631 | Acc: 78.20% +2025-03-14 19:13:41,282 - train - INFO - Epoch: 7 | Test Loss: 0.963 | Test Acc: 68.62% +2025-03-14 19:13:41,552 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 0.673 | Acc: 78.12% +2025-03-14 19:13:45,270 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 0.606 | Acc: 79.20% +2025-03-14 19:13:48,786 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 0.615 | Acc: 78.93% +2025-03-14 19:13:52,459 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 0.620 | Acc: 78.70% +2025-03-14 19:13:57,441 - train - INFO - Epoch: 8 | Test Loss: 0.655 | Test Acc: 77.30% +2025-03-14 19:14:10,767 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 0.690 | Acc: 80.47% +2025-03-14 19:14:14,075 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 0.602 | Acc: 79.42% +2025-03-14 19:14:17,467 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 0.607 | Acc: 79.26% +2025-03-14 19:14:20,940 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 0.607 | Acc: 79.31% +2025-03-14 19:14:25,541 - train - INFO - Epoch: 9 | Test Loss: 0.622 | Test Acc: 79.21% +2025-03-14 19:14:25,765 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 0.394 | Acc: 86.72% +2025-03-14 19:14:29,121 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 0.586 | Acc: 79.70% +2025-03-14 19:14:32,474 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 0.587 | Acc: 79.66% +2025-03-14 19:14:35,807 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 0.589 | Acc: 79.61% +2025-03-14 19:14:40,391 - train - INFO - Epoch: 10 | Test Loss: 0.717 | Test Acc: 75.08% +2025-03-14 19:14:50,628 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 0.578 | Acc: 76.56% +2025-03-14 19:14:53,929 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 0.577 | Acc: 80.41% +2025-03-14 19:14:57,164 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 0.587 | Acc: 79.88% +2025-03-14 19:15:00,325 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 0.590 | Acc: 79.67% +2025-03-14 19:15:04,893 - train - INFO - Epoch: 11 | Test Loss: 0.754 | Test Acc: 75.76% +2025-03-14 19:15:05,135 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 0.529 | Acc: 80.47% +2025-03-14 19:15:08,549 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 0.582 | Acc: 80.02% +2025-03-14 19:15:11,951 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 0.589 | Acc: 79.85% +2025-03-14 19:15:15,202 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 0.591 | Acc: 79.87% +2025-03-14 19:15:19,885 - train - INFO - Epoch: 12 | Test Loss: 0.675 | Test Acc: 77.78% +2025-03-14 19:15:29,952 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 0.597 | Acc: 79.69% +2025-03-14 19:15:33,505 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 0.561 | Acc: 80.87% +2025-03-14 19:15:36,785 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 0.572 | Acc: 80.45% +2025-03-14 19:15:40,222 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 0.581 | Acc: 80.12% +2025-03-14 19:15:45,033 - train - INFO - Epoch: 13 | Test Loss: 0.746 | Test Acc: 75.29% +2025-03-14 19:15:45,295 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 0.613 | Acc: 76.56% +2025-03-14 19:15:48,607 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 0.578 | Acc: 80.31% +2025-03-14 19:15:51,981 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 0.582 | Acc: 79.94% +2025-03-14 19:15:55,185 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 0.585 | Acc: 79.87% +2025-03-14 19:15:59,735 - train - INFO - Epoch: 14 | Test Loss: 0.694 | Test Acc: 76.38% +2025-03-14 19:16:10,825 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 0.779 | Acc: 72.66% +2025-03-14 19:16:14,400 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 0.583 | Acc: 80.01% +2025-03-14 19:16:17,644 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 0.582 | Acc: 79.78% +2025-03-14 19:16:20,887 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 0.586 | Acc: 79.85% +2025-03-14 19:16:25,746 - train - INFO - Epoch: 15 | Test Loss: 0.814 | Test Acc: 72.75% +2025-03-14 19:16:26,012 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 0.551 | Acc: 79.69% +2025-03-14 19:16:29,423 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 0.572 | Acc: 80.21% +2025-03-14 19:16:33,052 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 0.578 | Acc: 79.84% +2025-03-14 19:16:37,076 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 0.576 | Acc: 79.97% +2025-03-14 19:16:43,123 - train - INFO - Epoch: 16 | Test Loss: 0.853 | Test Acc: 72.56% +2025-03-14 19:16:54,068 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 0.480 | Acc: 84.38% +2025-03-14 19:16:57,365 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 0.576 | Acc: 80.03% +2025-03-14 19:17:00,641 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 0.578 | Acc: 80.05% +2025-03-14 19:17:04,064 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 0.580 | Acc: 79.99% +2025-03-14 19:17:08,620 - train - INFO - Epoch: 17 | Test Loss: 0.760 | Test Acc: 74.37% +2025-03-14 19:17:08,909 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 0.640 | Acc: 78.91% +2025-03-14 19:17:12,601 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 0.554 | Acc: 80.94% +2025-03-14 19:17:15,904 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 0.565 | Acc: 80.53% +2025-03-14 19:17:19,195 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 0.570 | Acc: 80.35% +2025-03-14 19:17:23,385 - train - INFO - Epoch: 18 | Test Loss: 0.766 | Test Acc: 74.48% +2025-03-14 19:17:33,584 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 0.588 | Acc: 79.69% +2025-03-14 19:17:37,060 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 0.572 | Acc: 80.45% +2025-03-14 19:17:40,342 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 0.576 | Acc: 80.27% +2025-03-14 19:17:43,640 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 0.575 | Acc: 80.28% +2025-03-14 19:17:48,326 - train - INFO - Epoch: 19 | Test Loss: 0.824 | Test Acc: 71.09% +2025-03-14 19:17:48,544 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 0.648 | Acc: 77.34% +2025-03-14 19:17:51,917 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 0.574 | Acc: 80.30% +2025-03-14 19:17:55,234 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 0.565 | Acc: 80.65% +2025-03-14 19:17:58,743 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 0.568 | Acc: 80.53% +2025-03-14 19:18:04,133 - train - INFO - Epoch: 20 | Test Loss: 0.805 | Test Acc: 74.42% +2025-03-14 19:18:14,312 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 0.571 | Acc: 81.25% +2025-03-14 19:18:17,780 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 0.552 | Acc: 81.03% +2025-03-14 19:18:21,057 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 0.568 | Acc: 80.52% +2025-03-14 19:18:24,568 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 0.566 | Acc: 80.57% +2025-03-14 19:18:28,874 - train - INFO - Epoch: 21 | Test Loss: 0.707 | Test Acc: 75.96% +2025-03-14 19:18:29,089 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 0.570 | Acc: 79.69% +2025-03-14 19:18:32,351 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 0.578 | Acc: 80.07% +2025-03-14 19:18:35,507 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 0.579 | Acc: 80.19% +2025-03-14 19:18:38,788 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 0.572 | Acc: 80.46% +2025-03-14 19:18:43,080 - train - INFO - Epoch: 22 | Test Loss: 0.783 | Test Acc: 75.22% +2025-03-14 19:18:53,647 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 0.549 | Acc: 79.69% +2025-03-14 19:18:56,905 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 0.577 | Acc: 80.32% +2025-03-14 19:19:00,204 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 0.566 | Acc: 80.55% +2025-03-14 19:19:03,440 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 0.565 | Acc: 80.69% +2025-03-14 19:19:07,915 - train - INFO - Epoch: 23 | Test Loss: 0.851 | Test Acc: 72.49% +2025-03-14 19:19:08,129 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 0.640 | Acc: 78.12% +2025-03-14 19:19:11,393 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 0.561 | Acc: 80.89% +2025-03-14 19:19:14,726 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 0.563 | Acc: 80.83% +2025-03-14 19:19:17,930 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 0.567 | Acc: 80.77% +2025-03-14 19:19:22,468 - train - INFO - Epoch: 24 | Test Loss: 0.710 | Test Acc: 75.41% +2025-03-14 19:19:32,962 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 0.653 | Acc: 73.44% +2025-03-14 19:19:36,576 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 0.568 | Acc: 80.31% +2025-03-14 19:19:40,003 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 0.561 | Acc: 80.63% +2025-03-14 19:19:43,294 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 0.563 | Acc: 80.62% +2025-03-14 19:19:47,955 - train - INFO - Epoch: 25 | Test Loss: 0.686 | Test Acc: 76.73% +2025-03-14 19:19:48,195 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 0.549 | Acc: 81.25% +2025-03-14 19:19:51,479 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 0.565 | Acc: 80.76% +2025-03-14 19:19:54,801 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 0.556 | Acc: 80.96% +2025-03-14 19:19:58,099 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 0.562 | Acc: 80.86% +2025-03-14 19:20:02,827 - train - INFO - Epoch: 26 | Test Loss: 0.780 | Test Acc: 75.01% +2025-03-14 19:20:14,115 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 0.666 | Acc: 77.34% +2025-03-14 19:20:17,565 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 0.555 | Acc: 80.69% +2025-03-14 19:20:20,973 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 0.558 | Acc: 80.66% +2025-03-14 19:20:24,381 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 0.559 | Acc: 80.65% +2025-03-14 19:20:29,009 - train - INFO - Epoch: 27 | Test Loss: 0.617 | Test Acc: 78.93% +2025-03-14 19:20:29,367 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 0.512 | Acc: 78.91% +2025-03-14 19:20:32,831 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 0.571 | Acc: 80.22% +2025-03-14 19:20:36,500 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 0.564 | Acc: 80.50% +2025-03-14 19:20:40,194 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 0.556 | Acc: 80.87% +2025-03-14 19:20:45,270 - train - INFO - Epoch: 28 | Test Loss: 0.736 | Test Acc: 75.08% +2025-03-14 19:20:58,183 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 0.505 | Acc: 85.94% +2025-03-14 19:21:01,637 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 0.557 | Acc: 81.06% +2025-03-14 19:21:05,001 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 0.558 | Acc: 80.96% +2025-03-14 19:21:08,287 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 0.557 | Acc: 81.07% +2025-03-14 19:21:13,197 - train - INFO - Epoch: 29 | Test Loss: 0.658 | Test Acc: 77.70% +2025-03-14 19:21:13,435 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 0.546 | Acc: 81.25% +2025-03-14 19:21:16,848 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 0.547 | Acc: 81.18% +2025-03-14 19:21:20,474 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 0.551 | Acc: 81.00% +2025-03-14 19:21:24,104 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 0.554 | Acc: 80.96% +2025-03-14 19:21:29,008 - train - INFO - Epoch: 30 | Test Loss: 0.636 | Test Acc: 78.32% +2025-03-14 19:21:40,494 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 0.576 | Acc: 80.47% +2025-03-14 19:21:44,188 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 0.529 | Acc: 81.79% +2025-03-14 19:21:47,530 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 0.546 | Acc: 81.08% +2025-03-14 19:21:51,213 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 0.553 | Acc: 80.88% +2025-03-14 19:21:56,449 - train - INFO - Epoch: 31 | Test Loss: 0.725 | Test Acc: 75.97% +2025-03-14 19:21:56,951 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 0.451 | Acc: 82.81% +2025-03-14 19:22:00,533 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 0.558 | Acc: 80.70% +2025-03-14 19:22:03,999 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 0.549 | Acc: 81.02% +2025-03-14 19:22:07,266 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 0.552 | Acc: 81.02% +2025-03-14 19:22:12,365 - train - INFO - Epoch: 32 | Test Loss: 0.671 | Test Acc: 77.87% +2025-03-14 19:22:22,767 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 0.545 | Acc: 81.25% +2025-03-14 19:22:26,261 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 0.547 | Acc: 81.26% +2025-03-14 19:22:29,835 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 0.538 | Acc: 81.65% +2025-03-14 19:22:33,299 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 0.548 | Acc: 81.28% +2025-03-14 19:22:38,258 - train - INFO - Epoch: 33 | Test Loss: 0.673 | Test Acc: 76.89% +2025-03-14 19:22:38,483 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 0.499 | Acc: 85.16% +2025-03-14 19:22:41,947 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 0.543 | Acc: 81.47% +2025-03-14 19:22:45,218 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 0.546 | Acc: 81.37% +2025-03-14 19:22:48,486 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 0.546 | Acc: 81.26% +2025-03-14 19:22:53,051 - train - INFO - Epoch: 34 | Test Loss: 0.737 | Test Acc: 75.76% +2025-03-14 19:23:05,704 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 0.463 | Acc: 86.72% +2025-03-14 19:23:09,592 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 0.539 | Acc: 81.39% +2025-03-14 19:23:13,217 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 0.551 | Acc: 80.96% +2025-03-14 19:23:16,660 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 0.545 | Acc: 81.19% +2025-03-14 19:23:20,993 - train - INFO - Epoch: 35 | Test Loss: 0.622 | Test Acc: 78.84% +2025-03-14 19:23:21,202 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 0.661 | Acc: 79.69% +2025-03-14 19:23:24,564 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 0.529 | Acc: 81.60% +2025-03-14 19:23:27,994 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 0.541 | Acc: 81.20% +2025-03-14 19:23:31,448 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 0.547 | Acc: 81.09% +2025-03-14 19:23:36,527 - train - INFO - Epoch: 36 | Test Loss: 0.837 | Test Acc: 72.92% +2025-03-14 19:23:48,459 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 0.398 | Acc: 85.16% +2025-03-14 19:23:52,074 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 0.538 | Acc: 81.60% +2025-03-14 19:23:55,347 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 0.548 | Acc: 81.17% +2025-03-14 19:23:58,518 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 0.550 | Acc: 81.06% +2025-03-14 19:24:03,051 - train - INFO - Epoch: 37 | Test Loss: 0.723 | Test Acc: 75.81% +2025-03-14 19:24:03,335 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 0.533 | Acc: 81.25% +2025-03-14 19:24:06,812 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 0.536 | Acc: 81.82% +2025-03-14 19:24:10,217 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 0.544 | Acc: 81.40% +2025-03-14 19:24:13,569 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 0.547 | Acc: 81.25% +2025-03-14 19:24:17,939 - train - INFO - Epoch: 38 | Test Loss: 0.590 | Test Acc: 79.82% +2025-03-14 19:24:28,511 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 0.561 | Acc: 80.47% +2025-03-14 19:24:31,759 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 0.546 | Acc: 81.30% +2025-03-14 19:24:35,014 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 0.537 | Acc: 81.60% +2025-03-14 19:24:38,163 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 0.540 | Acc: 81.43% +2025-03-14 19:24:42,444 - train - INFO - Epoch: 39 | Test Loss: 0.727 | Test Acc: 75.61% +2025-03-14 19:24:42,654 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 0.580 | Acc: 80.47% +2025-03-14 19:24:46,089 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 0.547 | Acc: 81.23% +2025-03-14 19:24:49,261 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 0.537 | Acc: 81.72% +2025-03-14 19:24:52,325 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 0.539 | Acc: 81.49% +2025-03-14 19:24:56,661 - train - INFO - Epoch: 40 | Test Loss: 0.753 | Test Acc: 74.94% +2025-03-14 19:25:07,122 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 0.489 | Acc: 81.25% +2025-03-14 19:25:10,338 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 0.562 | Acc: 80.55% +2025-03-14 19:25:13,464 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 0.547 | Acc: 81.01% +2025-03-14 19:25:16,704 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 0.547 | Acc: 81.18% +2025-03-14 19:25:21,116 - train - INFO - Epoch: 41 | Test Loss: 0.581 | Test Acc: 79.98% +2025-03-14 19:25:21,351 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 0.449 | Acc: 85.94% +2025-03-14 19:25:24,547 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 0.537 | Acc: 81.76% +2025-03-14 19:25:28,065 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 0.538 | Acc: 81.54% +2025-03-14 19:25:31,912 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 0.544 | Acc: 81.31% +2025-03-14 19:25:36,378 - train - INFO - Epoch: 42 | Test Loss: 0.761 | Test Acc: 74.92% +2025-03-14 19:25:47,452 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 0.563 | Acc: 85.16% +2025-03-14 19:25:50,783 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 0.531 | Acc: 81.60% +2025-03-14 19:25:54,366 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 0.531 | Acc: 81.75% +2025-03-14 19:25:57,520 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 0.535 | Acc: 81.60% +2025-03-14 19:26:02,308 - train - INFO - Epoch: 43 | Test Loss: 0.978 | Test Acc: 69.33% +2025-03-14 19:26:02,557 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 0.489 | Acc: 83.59% +2025-03-14 19:26:05,742 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 0.531 | Acc: 81.63% +2025-03-14 19:26:08,819 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 0.539 | Acc: 81.57% +2025-03-14 19:26:12,115 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 0.538 | Acc: 81.59% +2025-03-14 19:26:16,779 - train - INFO - Epoch: 44 | Test Loss: 0.581 | Test Acc: 80.37% +2025-03-14 19:26:27,807 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 0.612 | Acc: 76.56% +2025-03-14 19:26:31,140 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 0.542 | Acc: 81.21% +2025-03-14 19:26:34,298 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 0.540 | Acc: 81.21% +2025-03-14 19:26:37,533 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 0.544 | Acc: 81.22% +2025-03-14 19:26:41,886 - train - INFO - Epoch: 45 | Test Loss: 0.669 | Test Acc: 76.62% +2025-03-14 19:26:42,095 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 0.570 | Acc: 82.81% +2025-03-14 19:26:45,321 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 0.523 | Acc: 82.39% +2025-03-14 19:26:48,575 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 0.527 | Acc: 82.04% +2025-03-14 19:26:51,988 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 0.528 | Acc: 82.04% +2025-03-14 19:26:56,296 - train - INFO - Epoch: 46 | Test Loss: 0.696 | Test Acc: 77.30% +2025-03-14 19:27:06,854 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 0.466 | Acc: 84.38% +2025-03-14 19:27:10,072 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 0.527 | Acc: 82.02% +2025-03-14 19:27:13,280 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 0.529 | Acc: 81.84% +2025-03-14 19:27:16,660 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 0.531 | Acc: 81.77% +2025-03-14 19:27:21,074 - train - INFO - Epoch: 47 | Test Loss: 0.641 | Test Acc: 78.08% +2025-03-14 19:27:21,292 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 0.654 | Acc: 77.34% +2025-03-14 19:27:24,474 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 0.538 | Acc: 81.46% +2025-03-14 19:27:27,668 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 0.534 | Acc: 81.61% +2025-03-14 19:27:30,907 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 0.530 | Acc: 81.76% +2025-03-14 19:27:35,251 - train - INFO - Epoch: 48 | Test Loss: 0.627 | Test Acc: 78.30% +2025-03-14 19:27:45,625 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 0.434 | Acc: 86.72% +2025-03-14 19:27:48,733 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 0.532 | Acc: 81.76% +2025-03-14 19:27:51,846 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 0.526 | Acc: 82.16% +2025-03-14 19:27:55,000 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 0.530 | Acc: 81.97% +2025-03-14 19:27:59,298 - train - INFO - Epoch: 49 | Test Loss: 0.706 | Test Acc: 75.59% +2025-03-14 19:27:59,544 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 0.438 | Acc: 86.72% +2025-03-14 19:28:02,795 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 0.520 | Acc: 82.12% +2025-03-14 19:28:06,099 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 0.522 | Acc: 82.00% +2025-03-14 19:28:09,269 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 0.528 | Acc: 81.87% +2025-03-14 19:28:13,544 - train - INFO - Epoch: 50 | Test Loss: 0.808 | Test Acc: 72.98% +2025-03-14 19:28:23,729 - train - INFO - 训练完成! diff --git a/Image/MobileNetv2/code/train.py b/Image/MobileNetv2/code/train.py index e8154dc7cee833799b077f8fe96a85a65fe74b87..f424d2dc7e38c172ed538344a838e7398a3262b9 100644 --- a/Image/MobileNetv2/code/train.py +++ b/Image/MobileNetv2/code/train.py @@ -4,14 +4,14 @@ sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath( from utils.dataset_utils import get_cifar10_dataloaders from utils.train_utils import train_model, train_model_data_augmentation, train_model_backdoor from utils.parse_args import parse_args -from model import MobileNetv2 +from model import MobileNetV2 def main(): # 解析命令行参数 args = parse_args() # 创建模型 - model = MobileNetv2() + model = MobileNetV2() if args.train_type == '0': # 获取数据加载器 @@ -27,7 +27,7 @@ def main(): save_dir='../model', model_name='mobilenetv2', save_type='0', - layer_name='conv2', + layer_name='avgpool', interval=2 ) elif args.train_type == '1': @@ -55,7 +55,7 @@ def main(): batch_size=args.batch_size, num_workers=args.num_workers, local_dataset_path=args.dataset_path, - layer_name='conv2', + layer_name='avgpool', interval=2 ) diff --git a/Image/MobileNetv2/model/0/epoch1/embeddings.npy b/Image/MobileNetv2/model/0/epoch1/embeddings.npy new 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b/Image/MobileNetv2/model/0/layer_info.json @@ -0,0 +1 @@ +{"layer_id": "avgpool", "dim": 1280} \ No newline at end of file diff --git a/Image/MobileNetv3/code/train.log b/Image/MobileNetv3/code/train.log new file mode 100644 index 0000000000000000000000000000000000000000..b163312909d4bf88106280653473a9262453f267 --- /dev/null +++ b/Image/MobileNetv3/code/train.log @@ -0,0 +1,9 @@ +2025-03-14 19:28:43,284 - train - INFO - 开始训练 mobilenetv3 +2025-03-14 19:28:43,284 - train - INFO - 总轮数: 50, 学习率: 0.1, 设备: cuda:3 +2025-03-14 19:28:44,318 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.313 | Acc: 12.50% +2025-03-14 19:28:46,993 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.189 | Acc: 21.07% +2025-03-14 19:28:49,822 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 1.982 | Acc: 27.56% +2025-03-14 19:28:52,571 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 1.871 | Acc: 31.30% +2025-03-14 19:28:59,805 - train - INFO - Epoch: 1 | Test Loss: 1.494 | Test Acc: 45.02% +2025-03-14 19:29:00,247 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 1.594 | Acc: 36.72% +2025-03-14 19:29:02,937 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.542 | Acc: 43.54% diff --git a/Image/MobileNetv3/code/train.py b/Image/MobileNetv3/code/train.py index a985ef5a20c3bd2da473c1dc78c4471e4a7c3375..b3014ef3f545306f00a1df7fdaec4725f5e1245c 100644 --- a/Image/MobileNetv3/code/train.py +++ b/Image/MobileNetv3/code/train.py @@ -4,14 +4,14 @@ sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath( from utils.dataset_utils import get_cifar10_dataloaders from utils.train_utils import train_model, train_model_data_augmentation, train_model_backdoor from utils.parse_args import parse_args -from model import MobileNetv3 +from model import MobileNetV3 def main(): # 解析命令行参数 args = parse_args() # 创建模型 - model = MobileNetv3() + model = MobileNetV3() if args.train_type == '0': # 获取数据加载器 @@ -26,7 +26,9 @@ def main(): device=f'cuda:{args.gpu}', save_dir='../model', model_name='mobilenetv3', - save_type='0' + save_type='0', + layer_name='avgpool', + interval=2 ) elif args.train_type == '1': train_model_data_augmentation( @@ -52,7 +54,9 @@ def main(): model_name='mobilenetv3', batch_size=args.batch_size, num_workers=args.num_workers, - local_dataset_path=args.dataset_path + local_dataset_path=args.dataset_path, + layer_name='avgpool', + interval=2 ) if __name__ == '__main__':