diff --git a/.gitignore b/.gitignore
index 5d1dfd91c7806a1a9816518dd5e053afbe0565ee..8869b094a2294ac2c9cdf8462dfef316a15cc18c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,5 @@
 test_save.py
-*.pyc
\ No newline at end of file
+*.pyc
+cifar-10-batches-py
+cifar-10-python.tar.gz
+_pycache_
\ No newline at end of file
diff --git a/Image/EfficientNet/code/backdoor_train.log b/Image/EfficientNet/code/backdoor_train.log
new file mode 100644
index 0000000000000000000000000000000000000000..4e9e8cee061eed99b95afb839e2b7f43f1a499c8
--- /dev/null
+++ b/Image/EfficientNet/code/backdoor_train.log
@@ -0,0 +1,253 @@
+2025-03-14 16:50:34,220 - train - INFO - 开始训练 efficientnet
+2025-03-14 16:50:34,220 - train - INFO - 总轮数: 50, 学习率: 0.1, 设备: cuda:2
+2025-03-14 16:50:35,038 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.393 | Acc: 13.28%
+2025-03-14 16:50:39,342 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.716 | Acc: 15.56%
+2025-03-14 16:50:43,687 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 2.513 | Acc: 17.27%
+2025-03-14 16:50:47,952 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 2.372 | Acc: 18.62%
+2025-03-14 16:50:53,412 - train - INFO - Epoch: 1 | Test Loss: 1.909 | Test Acc: 28.96%
+2025-03-14 16:50:53,927 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 1.852 | Acc: 28.12%
+2025-03-14 16:50:58,155 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.894 | Acc: 29.70%
+2025-03-14 16:51:02,310 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.880 | Acc: 30.11%
+2025-03-14 16:51:06,421 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.847 | Acc: 31.26%
+2025-03-14 16:51:11,515 - train - INFO - Epoch: 2 | Test Loss: 1.734 | Test Acc: 38.75%
+2025-03-14 16:51:21,290 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 1.495 | Acc: 46.09%
+2025-03-14 16:51:25,389 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 1.697 | Acc: 37.88%
+2025-03-14 16:51:29,372 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 1.664 | Acc: 39.20%
+2025-03-14 16:51:33,262 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 1.640 | Acc: 40.20%
+2025-03-14 16:51:38,314 - train - INFO - Epoch: 3 | Test Loss: 1.604 | Test Acc: 42.46%
+2025-03-14 16:51:38,569 - train - INFO - Epoch: 4 | Batch: 0 | Loss: 1.486 | Acc: 50.00%
+2025-03-14 16:51:42,871 - train - INFO - Epoch: 4 | Batch: 100 | Loss: 1.506 | Acc: 45.35%
+2025-03-14 16:51:46,917 - train - INFO - Epoch: 4 | Batch: 200 | Loss: 1.462 | Acc: 47.19%
+2025-03-14 16:51:51,076 - train - INFO - Epoch: 4 | Batch: 300 | Loss: 1.447 | Acc: 47.85%
+2025-03-14 16:51:56,234 - train - INFO - Epoch: 4 | Test Loss: 1.539 | Test Acc: 44.57%
+2025-03-14 16:52:06,506 - train - INFO - Epoch: 5 | Batch: 0 | Loss: 1.254 | Acc: 55.47%
+2025-03-14 16:52:10,514 - train - INFO - Epoch: 5 | Batch: 100 | Loss: 1.457 | Acc: 47.76%
+2025-03-14 16:52:14,542 - train - INFO - Epoch: 5 | Batch: 200 | Loss: 1.406 | Acc: 49.47%
+2025-03-14 16:52:18,602 - train - INFO - Epoch: 5 | Batch: 300 | Loss: 1.368 | Acc: 51.14%
+2025-03-14 16:52:23,902 - train - INFO - Epoch: 5 | Test Loss: 1.270 | Test Acc: 54.80%
+2025-03-14 16:52:24,188 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 1.311 | Acc: 53.12%
+2025-03-14 16:52:28,460 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 1.287 | Acc: 54.12%
+2025-03-14 16:52:32,655 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 1.262 | Acc: 55.06%
+2025-03-14 16:52:36,609 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 1.236 | Acc: 56.11%
+2025-03-14 16:52:41,974 - train - INFO - Epoch: 6 | Test Loss: 1.166 | Test Acc: 59.57%
+2025-03-14 16:52:52,538 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 1.270 | Acc: 59.38%
+2025-03-14 16:52:56,703 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 1.133 | Acc: 59.91%
+2025-03-14 16:53:00,833 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 1.122 | Acc: 60.30%
+2025-03-14 16:53:05,134 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 1.115 | Acc: 60.65%
+2025-03-14 16:53:10,577 - train - INFO - Epoch: 7 | Test Loss: 1.184 | Test Acc: 58.79%
+2025-03-14 16:53:10,817 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 1.102 | Acc: 60.94%
+2025-03-14 16:53:15,027 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 1.080 | Acc: 61.57%
+2025-03-14 16:53:19,348 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 1.068 | Acc: 62.27%
+2025-03-14 16:53:23,545 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 1.062 | Acc: 62.52%
+2025-03-14 16:53:28,792 - train - INFO - Epoch: 8 | Test Loss: 1.034 | Test Acc: 64.74%
+2025-03-14 16:53:38,962 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 0.995 | Acc: 66.41%
+2025-03-14 16:53:43,199 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 1.017 | Acc: 64.58%
+2025-03-14 16:53:47,563 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 1.013 | Acc: 64.88%
+2025-03-14 16:53:51,753 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 1.006 | Acc: 65.17%
+2025-03-14 16:53:57,630 - train - INFO - Epoch: 9 | Test Loss: 1.000 | Test Acc: 64.72%
+2025-03-14 16:53:57,883 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 1.000 | Acc: 64.06%
+2025-03-14 16:54:02,333 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 0.966 | Acc: 66.46%
+2025-03-14 16:54:06,525 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 0.952 | Acc: 67.11%
+2025-03-14 16:54:10,742 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 0.954 | Acc: 67.09%
+2025-03-14 16:54:16,145 - train - INFO - Epoch: 10 | Test Loss: 0.945 | Test Acc: 66.62%
+2025-03-14 16:54:26,361 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 0.875 | Acc: 72.66%
+2025-03-14 16:54:30,550 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 0.946 | Acc: 66.99%
+2025-03-14 16:54:34,741 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 0.946 | Acc: 67.16%
+2025-03-14 16:54:38,801 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 0.938 | Acc: 67.54%
+2025-03-14 16:54:45,018 - train - INFO - Epoch: 11 | Test Loss: 0.966 | Test Acc: 66.08%
+2025-03-14 16:54:45,285 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 0.831 | Acc: 70.31%
+2025-03-14 16:54:49,577 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 0.909 | Acc: 68.46%
+2025-03-14 16:54:53,812 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 0.904 | Acc: 68.80%
+2025-03-14 16:54:57,943 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 0.907 | Acc: 68.88%
+2025-03-14 16:55:03,248 - train - INFO - Epoch: 12 | Test Loss: 0.940 | Test Acc: 67.15%
+2025-03-14 16:55:14,462 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 0.884 | Acc: 68.75%
+2025-03-14 16:55:18,985 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 0.903 | Acc: 69.54%
+2025-03-14 16:55:23,339 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 0.905 | Acc: 69.28%
+2025-03-14 16:55:27,460 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 0.898 | Acc: 69.50%
+2025-03-14 16:55:32,675 - train - INFO - Epoch: 13 | Test Loss: 0.857 | Test Acc: 70.24%
+2025-03-14 16:55:32,892 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 0.853 | Acc: 73.44%
+2025-03-14 16:55:37,122 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 0.869 | Acc: 70.69%
+2025-03-14 16:55:41,732 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 0.871 | Acc: 70.37%
+2025-03-14 16:55:45,936 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 0.865 | Acc: 70.62%
+2025-03-14 16:55:51,486 - train - INFO - Epoch: 14 | Test Loss: 0.862 | Test Acc: 70.40%
+2025-03-14 16:56:02,079 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 0.794 | Acc: 74.22%
+2025-03-14 16:56:06,351 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 0.847 | Acc: 71.53%
+2025-03-14 16:56:10,745 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 0.853 | Acc: 71.16%
+2025-03-14 16:56:15,035 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 0.851 | Acc: 71.19%
+2025-03-14 16:56:21,120 - train - INFO - Epoch: 15 | Test Loss: 0.869 | Test Acc: 70.55%
+2025-03-14 16:56:21,439 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 0.735 | Acc: 71.88%
+2025-03-14 16:56:25,546 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 0.844 | Acc: 71.07%
+2025-03-14 16:56:29,707 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 0.842 | Acc: 71.25%
+2025-03-14 16:56:33,868 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 0.844 | Acc: 71.32%
+2025-03-14 16:56:39,194 - train - INFO - Epoch: 16 | Test Loss: 0.949 | Test Acc: 66.89%
+2025-03-14 16:56:50,322 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 0.968 | Acc: 64.84%
+2025-03-14 16:56:54,610 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 0.831 | Acc: 72.15%
+2025-03-14 16:56:58,907 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 0.829 | Acc: 71.93%
+2025-03-14 16:57:02,982 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 0.829 | Acc: 72.05%
+2025-03-14 16:57:08,370 - train - INFO - Epoch: 17 | Test Loss: 0.948 | Test Acc: 68.57%
+2025-03-14 16:57:08,594 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 0.919 | Acc: 65.62%
+2025-03-14 16:57:12,965 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 0.813 | Acc: 72.11%
+2025-03-14 16:57:17,407 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 0.825 | Acc: 71.97%
+2025-03-14 16:57:21,996 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 0.822 | Acc: 72.06%
+2025-03-14 16:57:27,487 - train - INFO - Epoch: 18 | Test Loss: 0.852 | Test Acc: 70.81%
+2025-03-14 16:57:37,770 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 0.934 | Acc: 68.75%
+2025-03-14 16:57:41,993 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 0.816 | Acc: 72.37%
+2025-03-14 16:57:46,550 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 0.813 | Acc: 72.63%
+2025-03-14 16:57:50,721 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 0.807 | Acc: 72.78%
+2025-03-14 16:57:55,876 - train - INFO - Epoch: 19 | Test Loss: 0.808 | Test Acc: 72.39%
+2025-03-14 16:57:56,137 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 0.870 | Acc: 69.53%
+2025-03-14 16:58:00,441 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 0.795 | Acc: 73.00%
+2025-03-14 16:58:04,438 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 0.792 | Acc: 73.20%
+2025-03-14 16:58:08,605 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 0.799 | Acc: 72.85%
+2025-03-14 16:58:13,904 - train - INFO - Epoch: 20 | Test Loss: 0.816 | Test Acc: 72.37%
+2025-03-14 16:58:24,451 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 0.747 | Acc: 75.00%
+2025-03-14 16:58:28,704 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 0.782 | Acc: 73.19%
+2025-03-14 16:58:32,744 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 0.792 | Acc: 72.99%
+2025-03-14 16:58:36,763 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 0.793 | Acc: 73.02%
+2025-03-14 16:58:42,110 - train - INFO - Epoch: 21 | Test Loss: 0.837 | Test Acc: 71.78%
+2025-03-14 16:58:42,347 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 0.677 | Acc: 78.12%
+2025-03-14 16:58:46,656 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 0.809 | Acc: 72.78%
+2025-03-14 16:58:50,792 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 0.801 | Acc: 73.03%
+2025-03-14 16:58:55,249 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 0.794 | Acc: 73.16%
+2025-03-14 16:59:00,591 - train - INFO - Epoch: 22 | Test Loss: 0.764 | Test Acc: 74.07%
+2025-03-14 16:59:11,462 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 0.841 | Acc: 70.31%
+2025-03-14 16:59:15,955 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 0.785 | Acc: 73.19%
+2025-03-14 16:59:20,405 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 0.779 | Acc: 73.59%
+2025-03-14 16:59:24,843 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 0.781 | Acc: 73.50%
+2025-03-14 16:59:30,321 - train - INFO - Epoch: 23 | Test Loss: 0.835 | Test Acc: 71.93%
+2025-03-14 16:59:30,567 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 0.885 | Acc: 71.09%
+2025-03-14 16:59:35,045 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 0.773 | Acc: 73.67%
+2025-03-14 16:59:39,555 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 0.776 | Acc: 73.77%
+2025-03-14 16:59:44,054 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 0.784 | Acc: 73.43%
+2025-03-14 16:59:49,912 - train - INFO - Epoch: 24 | Test Loss: 0.808 | Test Acc: 72.50%
+2025-03-14 17:00:00,452 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 0.660 | Acc: 77.34%
+2025-03-14 17:00:05,296 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 0.761 | Acc: 74.09%
+2025-03-14 17:00:10,410 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 0.768 | Acc: 74.05%
+2025-03-14 17:00:15,036 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 0.776 | Acc: 73.89%
+2025-03-14 17:00:20,739 - train - INFO - Epoch: 25 | Test Loss: 0.790 | Test Acc: 73.05%
+2025-03-14 17:00:20,973 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 0.560 | Acc: 80.47%
+2025-03-14 17:00:25,440 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 0.772 | Acc: 73.87%
+2025-03-14 17:00:29,998 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 0.772 | Acc: 73.85%
+2025-03-14 17:00:34,447 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 0.774 | Acc: 73.79%
+2025-03-14 17:00:39,890 - train - INFO - Epoch: 26 | Test Loss: 0.858 | Test Acc: 71.00%
+2025-03-14 17:00:50,311 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 0.666 | Acc: 78.12%
+2025-03-14 17:00:54,862 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 0.734 | Acc: 75.15%
+2025-03-14 17:00:59,263 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 0.748 | Acc: 74.74%
+2025-03-14 17:01:03,797 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 0.751 | Acc: 74.64%
+2025-03-14 17:01:09,534 - train - INFO - Epoch: 27 | Test Loss: 0.797 | Test Acc: 72.45%
+2025-03-14 17:01:09,786 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 0.846 | Acc: 75.00%
+2025-03-14 17:01:14,301 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 0.758 | Acc: 74.45%
+2025-03-14 17:01:18,764 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 0.757 | Acc: 74.49%
+2025-03-14 17:01:23,331 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 0.758 | Acc: 74.47%
+2025-03-14 17:01:29,619 - train - INFO - Epoch: 28 | Test Loss: 0.807 | Test Acc: 72.88%
+2025-03-14 17:01:39,772 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 0.833 | Acc: 71.09%
+2025-03-14 17:01:44,254 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 0.752 | Acc: 74.68%
+2025-03-14 17:01:48,888 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 0.752 | Acc: 74.65%
+2025-03-14 17:01:53,508 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 0.756 | Acc: 74.55%
+2025-03-14 17:01:58,973 - train - INFO - Epoch: 29 | Test Loss: 0.777 | Test Acc: 73.28%
+2025-03-14 17:01:59,211 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 0.740 | Acc: 77.34%
+2025-03-14 17:02:03,694 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 0.743 | Acc: 74.82%
+2025-03-14 17:02:08,332 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 0.756 | Acc: 74.52%
+2025-03-14 17:02:12,835 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 0.753 | Acc: 74.69%
+2025-03-14 17:02:18,570 - train - INFO - Epoch: 30 | Test Loss: 0.749 | Test Acc: 73.91%
+2025-03-14 17:02:28,712 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 0.593 | Acc: 78.91%
+2025-03-14 17:02:33,298 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 0.720 | Acc: 75.85%
+2025-03-14 17:02:38,219 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 0.733 | Acc: 75.38%
+2025-03-14 17:02:42,945 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 0.737 | Acc: 75.30%
+2025-03-14 17:02:48,977 - train - INFO - Epoch: 31 | Test Loss: 0.788 | Test Acc: 73.32%
+2025-03-14 17:02:49,241 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 0.641 | Acc: 76.56%
+2025-03-14 17:02:53,771 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 0.732 | Acc: 75.52%
+2025-03-14 17:02:58,291 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 0.741 | Acc: 75.14%
+2025-03-14 17:03:03,014 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 0.746 | Acc: 74.99%
+2025-03-14 17:03:08,589 - train - INFO - Epoch: 32 | Test Loss: 0.853 | Test Acc: 71.73%
+2025-03-14 17:03:19,315 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 0.829 | Acc: 72.66%
+2025-03-14 17:03:23,891 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 0.748 | Acc: 74.85%
+2025-03-14 17:03:28,577 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 0.734 | Acc: 75.21%
+2025-03-14 17:03:33,144 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 0.739 | Acc: 74.99%
+2025-03-14 17:03:38,909 - train - INFO - Epoch: 33 | Test Loss: 0.799 | Test Acc: 73.38%
+2025-03-14 17:03:39,126 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 0.699 | Acc: 78.12%
+2025-03-14 17:03:43,965 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 0.739 | Acc: 75.14%
+2025-03-14 17:03:49,371 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 0.736 | Acc: 75.35%
+2025-03-14 17:03:54,126 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 0.740 | Acc: 75.17%
+2025-03-14 17:03:59,822 - train - INFO - Epoch: 34 | Test Loss: 0.939 | Test Acc: 69.15%
+2025-03-14 17:04:10,469 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 0.672 | Acc: 75.78%
+2025-03-14 17:04:15,147 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 0.711 | Acc: 76.02%
+2025-03-14 17:04:20,006 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 0.723 | Acc: 75.68%
+2025-03-14 17:04:24,816 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 0.725 | Acc: 75.55%
+2025-03-14 17:04:30,590 - train - INFO - Epoch: 35 | Test Loss: 0.782 | Test Acc: 73.06%
+2025-03-14 17:04:30,848 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 0.641 | Acc: 77.34%
+2025-03-14 17:04:35,448 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 0.710 | Acc: 75.83%
+2025-03-14 17:04:39,870 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 0.723 | Acc: 75.63%
+2025-03-14 17:04:44,522 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 0.724 | Acc: 75.52%
+2025-03-14 17:04:51,089 - train - INFO - Epoch: 36 | Test Loss: 0.873 | Test Acc: 71.48%
+2025-03-14 17:05:02,234 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 0.644 | Acc: 78.12%
+2025-03-14 17:05:06,776 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 0.720 | Acc: 75.93%
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+2025-03-14 17:05:26,364 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 0.712 | Acc: 75.81%
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+2025-03-14 17:05:51,396 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 0.663 | Acc: 77.34%
+2025-03-14 17:05:55,954 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 0.711 | Acc: 76.08%
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+2025-03-14 17:06:10,359 - train - INFO - Epoch: 39 | Test Loss: 0.712 | Test Acc: 75.40%
+2025-03-14 17:06:10,615 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 0.544 | Acc: 81.25%
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+2025-03-14 17:06:41,156 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 0.603 | Acc: 77.34%
+2025-03-14 17:06:45,994 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 0.684 | Acc: 77.35%
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+2025-03-14 17:08:45,746 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 0.678 | Acc: 77.07%
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+2025-03-14 17:09:37,370 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 0.686 | Acc: 77.20%
+2025-03-14 17:09:42,102 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 0.683 | Acc: 77.31%
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+2025-03-14 17:10:02,821 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 0.744 | Acc: 73.44%
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+2025-03-14 17:00:29,145 - train - INFO - Epoch: 11 | Test Loss: 0.746 | Test Acc: 75.64%
+2025-03-14 17:00:29,405 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 0.372 | Acc: 85.16%
+2025-03-14 17:00:36,421 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 0.389 | Acc: 86.41%
+2025-03-14 17:00:43,392 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 0.406 | Acc: 85.95%
+2025-03-14 17:00:50,346 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 0.410 | Acc: 85.89%
+2025-03-14 17:00:58,480 - train - INFO - Epoch: 12 | Test Loss: 0.744 | Test Acc: 76.44%
+2025-03-14 17:01:08,385 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 0.272 | Acc: 90.62%
+2025-03-14 17:01:15,442 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 0.383 | Acc: 86.80%
+2025-03-14 17:01:22,401 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 0.388 | Acc: 86.56%
+2025-03-14 17:01:29,668 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 0.401 | Acc: 86.09%
+2025-03-14 17:01:38,031 - train - INFO - Epoch: 13 | Test Loss: 0.839 | Test Acc: 74.00%
+2025-03-14 17:01:38,284 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 0.415 | Acc: 85.16%
+2025-03-14 17:01:45,233 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 0.377 | Acc: 86.89%
+2025-03-14 17:01:52,187 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 0.384 | Acc: 86.67%
+2025-03-14 17:01:59,108 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 0.389 | Acc: 86.41%
+2025-03-14 17:02:07,307 - train - INFO - Epoch: 14 | Test Loss: 0.740 | Test Acc: 75.39%
+2025-03-14 17:02:17,573 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 0.291 | Acc: 89.84%
+2025-03-14 17:02:24,651 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 0.370 | Acc: 87.29%
+2025-03-14 17:02:31,629 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 0.373 | Acc: 87.15%
+2025-03-14 17:02:38,739 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 0.376 | Acc: 87.03%
+2025-03-14 17:02:47,204 - train - INFO - Epoch: 15 | Test Loss: 0.601 | Test Acc: 80.11%
+2025-03-14 17:02:47,487 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 0.260 | Acc: 92.97%
+2025-03-14 17:02:54,589 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 0.375 | Acc: 87.46%
+2025-03-14 17:03:01,614 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 0.378 | Acc: 87.10%
+2025-03-14 17:03:08,551 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 0.380 | Acc: 86.99%
+2025-03-14 17:03:17,027 - train - INFO - Epoch: 16 | Test Loss: 0.578 | Test Acc: 81.07%
+2025-03-14 17:03:27,383 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 0.288 | Acc: 89.06%
+2025-03-14 17:03:34,362 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 0.357 | Acc: 87.81%
+2025-03-14 17:03:41,426 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 0.367 | Acc: 87.33%
+2025-03-14 17:03:48,924 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 0.372 | Acc: 87.28%
+2025-03-14 17:03:57,228 - train - INFO - Epoch: 17 | Test Loss: 0.604 | Test Acc: 80.90%
+2025-03-14 17:03:57,495 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 0.413 | Acc: 84.38%
+2025-03-14 17:04:04,537 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 0.348 | Acc: 88.03%
+2025-03-14 17:04:11,554 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 0.353 | Acc: 87.83%
+2025-03-14 17:04:18,679 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 0.355 | Acc: 87.92%
+2025-03-14 17:04:27,096 - train - INFO - Epoch: 18 | Test Loss: 1.517 | Test Acc: 59.99%
+2025-03-14 17:04:37,412 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 0.429 | Acc: 85.94%
+2025-03-14 17:04:44,398 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 0.338 | Acc: 88.47%
+2025-03-14 17:04:51,696 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 0.349 | Acc: 87.96%
+2025-03-14 17:04:58,812 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 0.356 | Acc: 87.64%
+2025-03-14 17:05:07,013 - train - INFO - Epoch: 19 | Test Loss: 0.831 | Test Acc: 75.19%
+2025-03-14 17:05:07,264 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 0.282 | Acc: 91.41%
+2025-03-14 17:05:14,264 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 0.320 | Acc: 88.91%
+2025-03-14 17:05:21,286 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 0.340 | Acc: 88.20%
+2025-03-14 17:05:28,382 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 0.345 | Acc: 88.19%
+2025-03-14 17:05:36,649 - train - INFO - Epoch: 20 | Test Loss: 0.781 | Test Acc: 75.57%
+2025-03-14 17:05:47,127 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 0.395 | Acc: 85.94%
+2025-03-14 17:05:54,114 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 0.337 | Acc: 88.33%
+2025-03-14 17:06:01,056 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 0.339 | Acc: 88.20%
+2025-03-14 17:06:07,976 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 0.343 | Acc: 88.07%
+2025-03-14 17:06:16,134 - train - INFO - Epoch: 21 | Test Loss: 0.498 | Test Acc: 84.13%
+2025-03-14 17:06:16,365 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 0.278 | Acc: 91.41%
+2025-03-14 17:06:23,345 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 0.326 | Acc: 88.81%
+2025-03-14 17:06:30,343 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 0.334 | Acc: 88.39%
+2025-03-14 17:06:37,492 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 0.338 | Acc: 88.26%
+2025-03-14 17:06:46,232 - train - INFO - Epoch: 22 | Test Loss: 0.626 | Test Acc: 80.14%
+2025-03-14 17:06:56,389 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 0.287 | Acc: 92.19%
+2025-03-14 17:07:03,470 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 0.320 | Acc: 89.18%
+2025-03-14 17:07:10,453 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 0.330 | Acc: 88.65%
+2025-03-14 17:07:17,383 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 0.335 | Acc: 88.46%
+2025-03-14 17:07:25,590 - train - INFO - Epoch: 23 | Test Loss: 0.761 | Test Acc: 76.10%
+2025-03-14 17:07:25,868 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 0.403 | Acc: 85.16%
+2025-03-14 17:07:32,933 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 0.306 | Acc: 89.61%
+2025-03-14 17:07:40,039 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 0.316 | Acc: 89.01%
+2025-03-14 17:07:47,530 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 0.325 | Acc: 88.68%
+2025-03-14 17:07:55,871 - train - INFO - Epoch: 24 | Test Loss: 0.618 | Test Acc: 80.21%
+2025-03-14 17:08:06,349 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 0.349 | Acc: 87.50%
+2025-03-14 17:08:13,405 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 0.315 | Acc: 89.09%
+2025-03-14 17:08:20,736 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 0.324 | Acc: 88.82%
+2025-03-14 17:08:27,757 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 0.330 | Acc: 88.60%
+2025-03-14 17:08:36,073 - train - INFO - Epoch: 25 | Test Loss: 0.444 | Test Acc: 85.16%
+2025-03-14 17:08:36,387 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 0.373 | Acc: 87.50%
+2025-03-14 17:08:43,532 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 0.314 | Acc: 89.22%
+2025-03-14 17:08:50,665 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 0.317 | Acc: 89.05%
+2025-03-14 17:08:57,696 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 0.321 | Acc: 88.87%
+2025-03-14 17:09:05,921 - train - INFO - Epoch: 26 | Test Loss: 0.583 | Test Acc: 81.13%
+2025-03-14 17:09:16,691 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 0.210 | Acc: 93.75%
+2025-03-14 17:09:23,814 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 0.305 | Acc: 89.27%
+2025-03-14 17:09:31,184 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 0.317 | Acc: 88.93%
+2025-03-14 17:09:38,295 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 0.316 | Acc: 89.00%
+2025-03-14 17:09:46,877 - train - INFO - Epoch: 27 | Test Loss: 0.500 | Test Acc: 83.60%
+2025-03-14 17:09:47,205 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 0.324 | Acc: 88.28%
+2025-03-14 17:09:54,324 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 0.300 | Acc: 89.70%
+2025-03-14 17:10:01,318 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 0.308 | Acc: 89.37%
+2025-03-14 17:10:08,390 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 0.312 | Acc: 89.28%
+2025-03-14 17:10:17,262 - train - INFO - Epoch: 28 | Test Loss: 0.453 | Test Acc: 84.78%
+2025-03-14 17:10:27,827 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 0.225 | Acc: 92.19%
+2025-03-14 17:10:34,830 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 0.289 | Acc: 90.12%
+2025-03-14 17:10:41,867 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 0.298 | Acc: 89.73%
+2025-03-14 17:10:48,873 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 0.307 | Acc: 89.44%
+2025-03-14 17:10:57,141 - train - INFO - Epoch: 29 | Test Loss: 0.540 | Test Acc: 81.94%
+2025-03-14 17:10:57,411 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 0.347 | Acc: 87.50%
+2025-03-14 17:11:04,423 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 0.302 | Acc: 89.55%
+2025-03-14 17:11:11,402 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 0.306 | Acc: 89.59%
+2025-03-14 17:11:18,378 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 0.309 | Acc: 89.35%
+2025-03-14 17:11:26,623 - train - INFO - Epoch: 30 | Test Loss: 1.307 | Test Acc: 64.91%
+2025-03-14 17:11:37,574 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 0.269 | Acc: 89.06%
+2025-03-14 17:11:44,956 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 0.298 | Acc: 89.81%
+2025-03-14 17:11:51,880 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 0.312 | Acc: 89.24%
+2025-03-14 17:11:58,843 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 0.312 | Acc: 89.26%
+2025-03-14 17:12:07,072 - train - INFO - Epoch: 31 | Test Loss: 0.621 | Test Acc: 80.50%
+2025-03-14 17:12:07,308 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 0.212 | Acc: 94.53%
+2025-03-14 17:12:14,356 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 0.291 | Acc: 90.01%
+2025-03-14 17:12:21,336 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 0.297 | Acc: 89.81%
+2025-03-14 17:12:28,329 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 0.302 | Acc: 89.55%
+2025-03-14 17:12:36,842 - train - INFO - Epoch: 32 | Test Loss: 0.605 | Test Acc: 81.09%
+2025-03-14 17:12:46,713 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 0.217 | Acc: 94.53%
+2025-03-14 17:12:53,675 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 0.281 | Acc: 90.22%
+2025-03-14 17:13:00,644 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 0.295 | Acc: 89.73%
+2025-03-14 17:13:07,549 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 0.301 | Acc: 89.68%
+2025-03-14 17:13:15,742 - train - INFO - Epoch: 33 | Test Loss: 0.738 | Test Acc: 76.74%
+2025-03-14 17:13:15,979 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 0.304 | Acc: 89.06%
+2025-03-14 17:13:22,971 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 0.286 | Acc: 90.32%
+2025-03-14 17:13:29,907 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 0.295 | Acc: 89.97%
+2025-03-14 17:13:36,918 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 0.302 | Acc: 89.72%
+2025-03-14 17:13:45,169 - train - INFO - Epoch: 34 | Test Loss: 0.424 | Test Acc: 85.72%
+2025-03-14 17:13:55,500 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 0.236 | Acc: 92.19%
+2025-03-14 17:14:03,001 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 0.266 | Acc: 90.99%
+2025-03-14 17:14:10,047 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 0.279 | Acc: 90.33%
+2025-03-14 17:14:17,054 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 0.288 | Acc: 90.10%
+2025-03-14 17:14:25,381 - train - INFO - Epoch: 35 | Test Loss: 0.645 | Test Acc: 79.89%
+2025-03-14 17:14:25,635 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 0.321 | Acc: 90.62%
+2025-03-14 17:14:32,644 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 0.297 | Acc: 89.67%
+2025-03-14 17:14:39,568 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 0.293 | Acc: 89.81%
+2025-03-14 17:14:46,531 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 0.294 | Acc: 89.85%
+2025-03-14 17:14:54,840 - train - INFO - Epoch: 36 | Test Loss: 0.551 | Test Acc: 81.67%
+2025-03-14 17:15:04,949 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 0.269 | Acc: 90.62%
+2025-03-14 17:15:11,943 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 0.276 | Acc: 90.36%
+2025-03-14 17:15:18,964 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 0.285 | Acc: 90.15%
+2025-03-14 17:15:26,031 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 0.289 | Acc: 90.06%
+2025-03-14 17:15:34,305 - train - INFO - Epoch: 37 | Test Loss: 0.460 | Test Acc: 83.66%
+2025-03-14 17:15:34,549 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 0.239 | Acc: 92.97%
+2025-03-14 17:15:41,581 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 0.282 | Acc: 90.11%
+2025-03-14 17:15:48,954 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 0.283 | Acc: 90.08%
+2025-03-14 17:15:56,290 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 0.288 | Acc: 90.05%
+2025-03-14 17:16:04,868 - train - INFO - Epoch: 38 | Test Loss: 0.766 | Test Acc: 75.91%
+2025-03-14 17:16:15,740 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 0.281 | Acc: 89.84%
+2025-03-14 17:16:22,725 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 0.261 | Acc: 91.14%
+2025-03-14 17:16:29,750 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 0.280 | Acc: 90.44%
+2025-03-14 17:16:36,702 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 0.283 | Acc: 90.32%
+2025-03-14 17:16:45,050 - train - INFO - Epoch: 39 | Test Loss: 0.747 | Test Acc: 77.00%
+2025-03-14 17:16:45,337 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 0.251 | Acc: 90.62%
+2025-03-14 17:16:52,351 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 0.268 | Acc: 90.90%
+2025-03-14 17:16:59,308 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 0.277 | Acc: 90.49%
+2025-03-14 17:17:06,237 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 0.284 | Acc: 90.26%
+2025-03-14 17:17:14,416 - train - INFO - Epoch: 40 | Test Loss: 0.818 | Test Acc: 76.04%
+2025-03-14 17:17:26,250 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 0.205 | Acc: 94.53%
+2025-03-14 17:17:33,271 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 0.276 | Acc: 90.76%
+2025-03-14 17:17:40,234 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 0.287 | Acc: 90.35%
+2025-03-14 17:17:47,165 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 0.282 | Acc: 90.39%
+2025-03-14 17:17:55,350 - train - INFO - Epoch: 41 | Test Loss: 0.560 | Test Acc: 82.69%
+2025-03-14 17:17:55,602 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 0.260 | Acc: 89.84%
+2025-03-14 17:18:02,700 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 0.266 | Acc: 90.81%
+2025-03-14 17:18:09,825 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 0.276 | Acc: 90.53%
+2025-03-14 17:18:16,905 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 0.283 | Acc: 90.26%
+2025-03-14 17:18:25,159 - train - INFO - Epoch: 42 | Test Loss: 1.234 | Test Acc: 66.21%
+2025-03-14 17:18:35,406 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 0.309 | Acc: 85.94%
+2025-03-14 17:18:42,406 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 0.257 | Acc: 91.13%
+2025-03-14 17:18:49,556 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 0.270 | Acc: 90.60%
+2025-03-14 17:18:56,770 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 0.274 | Acc: 90.47%
+2025-03-14 17:19:05,067 - train - INFO - Epoch: 43 | Test Loss: 0.469 | Test Acc: 84.64%
+2025-03-14 17:19:05,309 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 0.318 | Acc: 89.06%
+2025-03-14 17:19:12,312 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 0.267 | Acc: 90.77%
+2025-03-14 17:19:19,282 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 0.269 | Acc: 90.64%
+2025-03-14 17:19:26,265 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 0.274 | Acc: 90.51%
+2025-03-14 17:19:34,468 - train - INFO - Epoch: 44 | Test Loss: 0.466 | Test Acc: 84.85%
+2025-03-14 17:19:44,307 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 0.187 | Acc: 95.31%
+2025-03-14 17:19:51,300 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 0.247 | Acc: 91.57%
+2025-03-14 17:19:58,266 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 0.266 | Acc: 90.90%
+2025-03-14 17:20:05,226 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 0.272 | Acc: 90.68%
+2025-03-14 17:20:13,581 - train - INFO - Epoch: 45 | Test Loss: 0.948 | Test Acc: 72.26%
+2025-03-14 17:20:13,840 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 0.148 | Acc: 94.53%
+2025-03-14 17:20:21,189 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 0.258 | Acc: 90.94%
+2025-03-14 17:20:28,360 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 0.264 | Acc: 90.99%
+2025-03-14 17:20:35,323 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 0.272 | Acc: 90.68%
+2025-03-14 17:20:43,561 - train - INFO - Epoch: 46 | Test Loss: 0.506 | Test Acc: 83.50%
+2025-03-14 17:20:53,954 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 0.263 | Acc: 92.19%
+2025-03-14 17:21:00,932 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 0.250 | Acc: 91.58%
+2025-03-14 17:21:08,026 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 0.255 | Acc: 91.42%
+2025-03-14 17:21:15,684 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 0.266 | Acc: 91.04%
+2025-03-14 17:21:24,479 - train - INFO - Epoch: 47 | Test Loss: 0.736 | Test Acc: 77.67%
+2025-03-14 17:21:24,729 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 0.306 | Acc: 89.06%
+2025-03-14 17:21:31,823 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 0.257 | Acc: 91.17%
+2025-03-14 17:21:38,830 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 0.264 | Acc: 90.98%
+2025-03-14 17:21:45,831 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 0.262 | Acc: 90.97%
+2025-03-14 17:21:54,201 - train - INFO - Epoch: 48 | Test Loss: 0.574 | Test Acc: 81.14%
+2025-03-14 17:22:04,657 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 0.393 | Acc: 86.72%
+2025-03-14 17:22:11,695 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 0.251 | Acc: 91.54%
+2025-03-14 17:22:18,756 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 0.258 | Acc: 91.24%
+2025-03-14 17:22:25,780 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 0.264 | Acc: 90.99%
+2025-03-14 17:22:34,535 - train - INFO - Epoch: 49 | Test Loss: 0.491 | Test Acc: 83.90%
+2025-03-14 17:22:34,814 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 0.272 | Acc: 94.53%
+2025-03-14 17:22:41,960 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 0.260 | Acc: 90.78%
+2025-03-14 17:22:49,037 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 0.260 | Acc: 90.89%
+2025-03-14 17:22:56,058 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 0.261 | Acc: 90.98%
+2025-03-14 17:23:04,356 - train - INFO - Epoch: 50 | Test Loss: 1.348 | Test Acc: 64.58%
+2025-03-14 17:23:14,478 - train - INFO - 训练完成!
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index 0000000000000000000000000000000000000000..77a40c19e3d76ea81432af664c2a289b2e2aa294
--- /dev/null
+++ b/Image/GoogLeNet/model/0/epoch4/embeddings.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4dbbdf82327e8b89c9e72b3e42c7a2efe17fc0f16e40a461c39cd6da3240a8b7
+size 204800128
diff --git a/Image/GoogLeNet/model/0/epoch4/subject_model.pth b/Image/GoogLeNet/model/0/epoch4/subject_model.pth
new file mode 100644
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--- /dev/null
+++ b/Image/GoogLeNet/model/0/epoch4/subject_model.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf11dcaa371dcfa48e609823bce98a3dbfbc60dfcefe686fecf53ec571ce5a45
+size 24878290
diff --git a/Image/GoogLeNet/model/0/epoch5/embeddings.npy b/Image/GoogLeNet/model/0/epoch5/embeddings.npy
new file mode 100644
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--- /dev/null
+++ b/Image/GoogLeNet/model/0/epoch5/embeddings.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f74438e6c235d0751dc11524c7a60225697328ece9cd7efa7615817fcd1d8622
+size 204800128
diff --git a/Image/GoogLeNet/model/0/epoch5/subject_model.pth b/Image/GoogLeNet/model/0/epoch5/subject_model.pth
new file mode 100644
index 0000000000000000000000000000000000000000..cd4f3752f6d150ff155215c893e68836777e0173
--- /dev/null
+++ b/Image/GoogLeNet/model/0/epoch5/subject_model.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2ecdb8c1dfd9f71304d154384b037902c03be32cc57f11704b066616b50e6ec3
+size 24878290
diff --git a/Image/GoogLeNet/model/0/epoch6/embeddings.npy b/Image/GoogLeNet/model/0/epoch6/embeddings.npy
new file mode 100644
index 0000000000000000000000000000000000000000..19cfcee1d9e542de62f3973e2eae699bd7c4132e
--- /dev/null
+++ b/Image/GoogLeNet/model/0/epoch6/embeddings.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d67efbb6b8181b8fabe6a82f13675e60680f843097c1e6aad822c06c437a7dd4
+size 204800128
diff --git a/Image/GoogLeNet/model/0/epoch6/subject_model.pth b/Image/GoogLeNet/model/0/epoch6/subject_model.pth
new file mode 100644
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--- /dev/null
+++ b/Image/GoogLeNet/model/0/epoch6/subject_model.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/Image/GoogLeNet/model/0/epoch7/embeddings.npy b/Image/GoogLeNet/model/0/epoch7/embeddings.npy
new file mode 100644
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--- /dev/null
+++ b/Image/GoogLeNet/model/0/epoch7/embeddings.npy
@@ -0,0 +1,3 @@
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+size 204800128
diff --git a/Image/GoogLeNet/model/0/epoch7/subject_model.pth b/Image/GoogLeNet/model/0/epoch7/subject_model.pth
new file mode 100644
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--- /dev/null
+++ b/Image/GoogLeNet/model/0/epoch7/subject_model.pth
@@ -0,0 +1,3 @@
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diff --git a/Image/GoogLeNet/model/0/epoch8/embeddings.npy b/Image/GoogLeNet/model/0/epoch8/embeddings.npy
new file mode 100644
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--- /dev/null
+++ b/Image/GoogLeNet/model/0/epoch8/embeddings.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 204800128
diff --git a/Image/GoogLeNet/model/0/epoch8/subject_model.pth b/Image/GoogLeNet/model/0/epoch8/subject_model.pth
new file mode 100644
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--- /dev/null
+++ b/Image/GoogLeNet/model/0/epoch8/subject_model.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ace8688b5198ac899b25cd60a02b911b88e65c359ff0e386a99373773b9a8c75
+size 24878290
diff --git a/Image/GoogLeNet/model/0/epoch9/embeddings.npy b/Image/GoogLeNet/model/0/epoch9/embeddings.npy
new file mode 100644
index 0000000000000000000000000000000000000000..6dcddbbd6a39f0bc68cbdb72e5cb99f83c1b30fe
--- /dev/null
+++ b/Image/GoogLeNet/model/0/epoch9/embeddings.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 204800128
diff --git a/Image/GoogLeNet/model/0/epoch9/subject_model.pth b/Image/GoogLeNet/model/0/epoch9/subject_model.pth
new file mode 100644
index 0000000000000000000000000000000000000000..7f0eb5d0a5d68f9099a3abbaeabed17830b5445f
--- /dev/null
+++ b/Image/GoogLeNet/model/0/epoch9/subject_model.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f104d3193975ce6b89e8e376cef59b20ee258d2f30f319bcf3cd9f6d636f559
+size 24878290
diff --git a/Image/GoogLeNet/model/0/layer_info.json b/Image/GoogLeNet/model/0/layer_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..46311586bcb283414b57f71aed66088ea84cc3fa
--- /dev/null
+++ b/Image/GoogLeNet/model/0/layer_info.json
@@ -0,0 +1 @@
+{"layer_id": "avgpool", "dim": 1024}
\ No newline at end of file
diff --git a/Image/LeNet5/code/train.py b/Image/LeNet5/code/train.py
index 6fb7aa3d070eeb66c91c162155234f5e5da0a0e4..a30930eb6544d4187227ae815816499eaa464a7c 100644
--- a/Image/LeNet5/code/train.py
+++ b/Image/LeNet5/code/train.py
@@ -26,7 +26,9 @@ def main():
             device=f'cuda:{args.gpu}',
             save_dir='../model',
             model_name='lenet5',
-            save_type='0'
+            save_type='0',
+            layer_name='layers.15.conv3',
+            interval = 2
         )
     elif args.train_type == '1':
         train_model_data_augmentation(
@@ -52,7 +54,9 @@ def main():
             model_name='lenet5',
             batch_size=args.batch_size, 
             num_workers=args.num_workers,
-            local_dataset_path=args.dataset_path
+            local_dataset_path=args.dataset_path,
+            layer_name='layers.15.conv3',
+            interval = 2
         )
 
 if __name__ == '__main__':