diff --git a/Image/AlexNet/code/backdoor_train.log b/Image/AlexNet/code/backdoor_train.log new file mode 100644 index 0000000000000000000000000000000000000000..fb1dc4430509df44169bab14d9a8ef6a3b1f0917 --- /dev/null +++ b/Image/AlexNet/code/backdoor_train.log @@ -0,0 +1,503 @@ +2025-03-09 20:19:12,058 - train - INFO - 开始训练 alexnet +2025-03-09 20:19:12,058 - train - INFO - 总轮数: 100, 学习率: 0.1, 设备: cuda:2 +2025-03-09 20:19:12,675 - train - INFO - Epoch: 1 | Batch: 0 | Loss: 2.303 | Acc: 16.41% +2025-03-09 20:19:14,626 - train - INFO - Epoch: 1 | Batch: 100 | Loss: 2.271 | Acc: 18.68% +2025-03-09 20:19:16,523 - train - INFO - Epoch: 1 | Batch: 200 | Loss: 2.251 | Acc: 19.08% +2025-03-09 20:19:18,515 - train - INFO - Epoch: 1 | Batch: 300 | Loss: 2.190 | Acc: 19.65% +2025-03-09 20:19:21,395 - train - INFO - Epoch: 1 | Test Loss: 1.966 | Test Acc: 18.53% +2025-03-09 20:19:21,531 - train - INFO - Epoch: 2 | Batch: 0 | Loss: 2.000 | Acc: 20.31% +2025-03-09 20:19:23,427 - train - INFO - Epoch: 2 | Batch: 100 | Loss: 1.985 | Acc: 20.66% +2025-03-09 20:19:25,413 - train - INFO - Epoch: 2 | Batch: 200 | Loss: 1.976 | Acc: 20.93% +2025-03-09 20:19:27,414 - train - INFO - Epoch: 2 | Batch: 300 | Loss: 1.963 | Acc: 21.40% +2025-03-09 20:19:30,365 - train - INFO - Epoch: 2 | Test Loss: 1.889 | Test Acc: 20.28% +2025-03-09 20:19:30,566 - train - INFO - Epoch: 3 | Batch: 0 | Loss: 1.928 | Acc: 26.56% +2025-03-09 20:19:33,166 - train - INFO - Epoch: 3 | Batch: 100 | Loss: 1.907 | Acc: 24.49% +2025-03-09 20:19:35,301 - train - INFO - Epoch: 3 | Batch: 200 | Loss: 1.885 | Acc: 25.66% +2025-03-09 20:19:37,244 - train - INFO - Epoch: 3 | Batch: 300 | Loss: 1.861 | Acc: 26.84% +2025-03-09 20:19:40,542 - train - INFO - Epoch: 3 | Test Loss: 1.751 | Test Acc: 28.73% +2025-03-09 20:19:40,699 - train - INFO - Epoch: 4 | Batch: 0 | Loss: 1.752 | Acc: 31.25% +2025-03-09 20:19:42,615 - train - INFO - Epoch: 4 | Batch: 100 | Loss: 1.688 | Acc: 34.92% +2025-03-09 20:19:44,581 - train - INFO - Epoch: 4 | Batch: 200 | Loss: 1.674 | Acc: 35.46% +2025-03-09 20:19:46,517 - train - INFO - Epoch: 4 | Batch: 300 | Loss: 1.670 | Acc: 35.93% +2025-03-09 20:19:49,443 - train - INFO - Epoch: 4 | Test Loss: 1.597 | Test Acc: 40.89% +2025-03-09 20:19:57,639 - train - INFO - Epoch: 5 | Batch: 0 | Loss: 1.450 | Acc: 47.66% +2025-03-09 20:19:59,573 - train - INFO - Epoch: 5 | Batch: 100 | Loss: 1.591 | Acc: 40.60% +2025-03-09 20:20:01,613 - train - INFO - Epoch: 5 | Batch: 200 | Loss: 1.572 | Acc: 41.28% +2025-03-09 20:20:03,589 - train - INFO - Epoch: 5 | Batch: 300 | Loss: 1.564 | Acc: 41.79% +2025-03-09 20:20:06,878 - train - INFO - Epoch: 5 | Test Loss: 1.498 | Test Acc: 46.10% +2025-03-09 20:20:07,049 - train - INFO - Epoch: 6 | Batch: 0 | Loss: 1.323 | Acc: 53.12% +2025-03-09 20:20:09,159 - train - INFO - Epoch: 6 | Batch: 100 | Loss: 1.504 | Acc: 44.93% +2025-03-09 20:20:11,263 - train - INFO - Epoch: 6 | Batch: 200 | Loss: 1.507 | Acc: 45.20% +2025-03-09 20:20:13,313 - train - INFO - Epoch: 6 | Batch: 300 | Loss: 1.511 | Acc: 45.22% +2025-03-09 20:20:16,255 - train - INFO - Epoch: 6 | Test Loss: 1.616 | Test Acc: 43.10% +2025-03-09 20:20:16,412 - train - INFO - Epoch: 7 | Batch: 0 | Loss: 1.604 | Acc: 40.62% +2025-03-09 20:20:18,415 - train - INFO - Epoch: 7 | Batch: 100 | Loss: 1.507 | Acc: 44.99% +2025-03-09 20:20:20,351 - train - INFO - Epoch: 7 | Batch: 200 | Loss: 1.481 | Acc: 46.18% +2025-03-09 20:20:22,266 - train - INFO - Epoch: 7 | Batch: 300 | Loss: 1.494 | Acc: 46.05% +2025-03-09 20:20:25,325 - train - INFO - Epoch: 7 | Test Loss: 1.543 | Test Acc: 43.40% +2025-03-09 20:20:25,492 - train - INFO - Epoch: 8 | Batch: 0 | Loss: 1.399 | Acc: 49.22% +2025-03-09 20:20:27,700 - train - INFO - Epoch: 8 | Batch: 100 | Loss: 1.477 | Acc: 47.11% +2025-03-09 20:20:29,710 - train - INFO - Epoch: 8 | Batch: 200 | Loss: 1.464 | Acc: 47.44% +2025-03-09 20:20:31,913 - train - INFO - Epoch: 8 | Batch: 300 | Loss: 1.461 | Acc: 47.83% +2025-03-09 20:20:35,491 - train - INFO - Epoch: 8 | Test Loss: 1.713 | Test Acc: 42.90% +2025-03-09 20:20:44,721 - train - INFO - Epoch: 9 | Batch: 0 | Loss: 1.387 | Acc: 50.78% +2025-03-09 20:20:46,712 - train - INFO - Epoch: 9 | Batch: 100 | Loss: 1.450 | Acc: 48.65% +2025-03-09 20:20:48,602 - train - INFO - Epoch: 9 | Batch: 200 | Loss: 1.446 | Acc: 48.56% +2025-03-09 20:20:50,410 - train - INFO - Epoch: 9 | Batch: 300 | Loss: 1.449 | Acc: 48.34% +2025-03-09 20:20:53,243 - train - INFO - Epoch: 9 | Test Loss: 1.560 | Test Acc: 44.42% +2025-03-09 20:20:53,419 - train - INFO - Epoch: 10 | Batch: 0 | Loss: 1.467 | Acc: 47.66% +2025-03-09 20:20:55,289 - train - INFO - Epoch: 10 | Batch: 100 | Loss: 1.438 | Acc: 48.78% +2025-03-09 20:20:57,200 - train - INFO - Epoch: 10 | Batch: 200 | Loss: 1.437 | Acc: 49.22% +2025-03-09 20:20:59,140 - train - INFO - Epoch: 10 | Batch: 300 | Loss: 1.425 | Acc: 49.63% +2025-03-09 20:21:02,190 - train - INFO - Epoch: 10 | Test Loss: 1.399 | Test Acc: 51.59% +2025-03-09 20:21:02,359 - train - INFO - Epoch: 11 | Batch: 0 | Loss: 1.214 | Acc: 60.94% +2025-03-09 20:21:04,254 - train - INFO - Epoch: 11 | Batch: 100 | Loss: 1.449 | Acc: 48.41% +2025-03-09 20:21:06,162 - train - INFO - Epoch: 11 | Batch: 200 | Loss: 1.457 | Acc: 48.33% +2025-03-09 20:21:08,031 - train - INFO - Epoch: 11 | Batch: 300 | Loss: 1.449 | Acc: 48.74% +2025-03-09 20:21:11,037 - train - INFO - Epoch: 11 | Test Loss: 1.485 | Test Acc: 49.63% +2025-03-09 20:21:11,206 - train - INFO - Epoch: 12 | Batch: 0 | Loss: 1.293 | Acc: 51.56% +2025-03-09 20:21:13,154 - train - INFO - Epoch: 12 | Batch: 100 | Loss: 1.422 | Acc: 50.02% +2025-03-09 20:21:15,086 - train - INFO - Epoch: 12 | Batch: 200 | Loss: 1.406 | Acc: 50.85% +2025-03-09 20:21:17,146 - train - INFO - Epoch: 12 | Batch: 300 | Loss: 1.413 | Acc: 50.54% +2025-03-09 20:21:20,196 - train - INFO - Epoch: 12 | Test Loss: 1.515 | Test Acc: 46.31% +2025-03-09 20:21:28,840 - train - INFO - Epoch: 13 | Batch: 0 | Loss: 1.368 | Acc: 46.88% +2025-03-09 20:21:30,993 - train - INFO - Epoch: 13 | Batch: 100 | Loss: 1.425 | Acc: 50.31% +2025-03-09 20:21:33,129 - train - INFO - Epoch: 13 | Batch: 200 | Loss: 1.418 | Acc: 50.51% +2025-03-09 20:21:35,080 - train - INFO - Epoch: 13 | Batch: 300 | Loss: 1.422 | Acc: 50.37% +2025-03-09 20:21:38,299 - train - INFO - Epoch: 13 | Test Loss: 1.688 | Test Acc: 43.65% +2025-03-09 20:21:38,495 - train - INFO - Epoch: 14 | Batch: 0 | Loss: 1.597 | Acc: 46.88% +2025-03-09 20:21:40,470 - train - INFO - Epoch: 14 | Batch: 100 | Loss: 1.417 | Acc: 50.60% +2025-03-09 20:21:42,443 - train - INFO - Epoch: 14 | Batch: 200 | Loss: 1.441 | Acc: 49.58% +2025-03-09 20:21:44,403 - train - INFO - Epoch: 14 | Batch: 300 | Loss: 1.439 | Acc: 49.61% +2025-03-09 20:21:47,387 - train - INFO - Epoch: 14 | Test Loss: 1.390 | Test Acc: 53.03% +2025-03-09 20:21:47,552 - train - INFO - Epoch: 15 | Batch: 0 | Loss: 1.497 | Acc: 50.78% +2025-03-09 20:21:49,502 - train - INFO - Epoch: 15 | Batch: 100 | Loss: 1.401 | Acc: 51.78% +2025-03-09 20:21:51,470 - train - INFO - Epoch: 15 | Batch: 200 | Loss: 1.405 | Acc: 51.27% +2025-03-09 20:21:53,392 - train - INFO - Epoch: 15 | Batch: 300 | Loss: 1.413 | Acc: 51.07% +2025-03-09 20:21:56,330 - train - INFO - Epoch: 15 | Test Loss: 1.420 | Test Acc: 51.08% +2025-03-09 20:21:56,494 - train - INFO - Epoch: 16 | Batch: 0 | Loss: 1.452 | Acc: 45.31% +2025-03-09 20:21:58,628 - train - INFO - Epoch: 16 | Batch: 100 | Loss: 1.414 | Acc: 50.87% +2025-03-09 20:22:00,738 - train - INFO - Epoch: 16 | Batch: 200 | Loss: 1.409 | Acc: 51.10% +2025-03-09 20:22:02,889 - train - INFO - Epoch: 16 | Batch: 300 | Loss: 1.410 | Acc: 51.06% +2025-03-09 20:22:06,141 - train - INFO - Epoch: 16 | Test Loss: 1.340 | Test Acc: 54.35% +2025-03-09 20:22:15,047 - train - INFO - Epoch: 17 | Batch: 0 | Loss: 1.409 | Acc: 50.00% +2025-03-09 20:22:17,210 - train - INFO - Epoch: 17 | Batch: 100 | Loss: 1.392 | Acc: 52.21% +2025-03-09 20:22:19,647 - train - INFO - Epoch: 17 | Batch: 200 | Loss: 1.388 | Acc: 52.15% +2025-03-09 20:22:21,842 - train - INFO - Epoch: 17 | Batch: 300 | Loss: 1.386 | Acc: 52.22% +2025-03-09 20:22:25,119 - train - INFO - Epoch: 17 | Test Loss: 1.341 | Test Acc: 53.27% +2025-03-09 20:22:25,281 - train - INFO - Epoch: 18 | Batch: 0 | Loss: 1.476 | Acc: 46.09% +2025-03-09 20:22:27,733 - train - INFO - Epoch: 18 | Batch: 100 | Loss: 1.405 | Acc: 52.00% +2025-03-09 20:22:29,947 - train - INFO - Epoch: 18 | Batch: 200 | Loss: 1.408 | Acc: 51.39% +2025-03-09 20:22:31,944 - train - INFO - Epoch: 18 | Batch: 300 | Loss: 1.402 | Acc: 51.70% +2025-03-09 20:22:35,223 - train - INFO - Epoch: 18 | Test Loss: 1.446 | Test Acc: 49.65% +2025-03-09 20:22:35,389 - train - INFO - Epoch: 19 | Batch: 0 | Loss: 1.405 | Acc: 50.78% +2025-03-09 20:22:37,625 - train - INFO - Epoch: 19 | Batch: 100 | Loss: 1.415 | Acc: 51.73% +2025-03-09 20:22:39,692 - train - INFO - Epoch: 19 | Batch: 200 | Loss: 1.413 | Acc: 51.99% +2025-03-09 20:22:41,607 - train - INFO - Epoch: 19 | Batch: 300 | Loss: 1.405 | Acc: 52.11% +2025-03-09 20:22:44,549 - train - INFO - Epoch: 19 | Test Loss: 1.407 | Test Acc: 52.25% +2025-03-09 20:22:44,717 - train - INFO - Epoch: 20 | Batch: 0 | Loss: 1.496 | Acc: 52.34% +2025-03-09 20:22:46,695 - train - INFO - Epoch: 20 | Batch: 100 | Loss: 1.393 | Acc: 52.61% +2025-03-09 20:22:48,558 - train - INFO - Epoch: 20 | Batch: 200 | Loss: 1.391 | Acc: 52.68% +2025-03-09 20:22:50,490 - train - INFO - Epoch: 20 | Batch: 300 | Loss: 1.386 | Acc: 52.47% +2025-03-09 20:22:53,448 - train - INFO - Epoch: 20 | Test Loss: 1.386 | Test Acc: 52.54% +2025-03-09 20:23:02,248 - train - INFO - Epoch: 21 | Batch: 0 | Loss: 1.271 | Acc: 53.91% +2025-03-09 20:23:04,411 - train - INFO - Epoch: 21 | Batch: 100 | Loss: 1.377 | Acc: 52.96% +2025-03-09 20:23:06,656 - train - INFO - Epoch: 21 | Batch: 200 | Loss: 1.362 | Acc: 53.40% +2025-03-09 20:23:08,804 - train - INFO - Epoch: 21 | Batch: 300 | Loss: 1.365 | Acc: 53.34% +2025-03-09 20:23:11,945 - train - INFO - Epoch: 21 | Test Loss: 1.409 | Test Acc: 52.31% +2025-03-09 20:23:12,122 - train - INFO - Epoch: 22 | Batch: 0 | Loss: 1.437 | Acc: 52.34% +2025-03-09 20:23:14,013 - train - INFO - Epoch: 22 | Batch: 100 | Loss: 1.347 | Acc: 53.79% +2025-03-09 20:23:15,873 - train - INFO - Epoch: 22 | Batch: 200 | Loss: 1.363 | Acc: 52.99% +2025-03-09 20:23:17,764 - train - INFO - Epoch: 22 | Batch: 300 | Loss: 1.364 | Acc: 53.03% +2025-03-09 20:23:20,673 - train - INFO - Epoch: 22 | Test Loss: 1.469 | Test Acc: 49.71% +2025-03-09 20:23:20,830 - train - INFO - Epoch: 23 | Batch: 0 | Loss: 1.354 | Acc: 49.22% +2025-03-09 20:23:22,923 - train - INFO - Epoch: 23 | Batch: 100 | Loss: 1.379 | Acc: 52.44% +2025-03-09 20:23:24,848 - train - INFO - Epoch: 23 | Batch: 200 | Loss: 1.379 | Acc: 52.37% +2025-03-09 20:23:26,896 - train - INFO - Epoch: 23 | Batch: 300 | Loss: 1.374 | Acc: 52.68% +2025-03-09 20:23:30,039 - train - INFO - Epoch: 23 | Test Loss: 1.362 | Test Acc: 52.68% +2025-03-09 20:23:30,193 - train - INFO - Epoch: 24 | Batch: 0 | Loss: 1.161 | Acc: 61.72% +2025-03-09 20:23:32,373 - train - INFO - Epoch: 24 | Batch: 100 | Loss: 1.389 | Acc: 52.10% +2025-03-09 20:23:34,420 - train - INFO - Epoch: 24 | Batch: 200 | Loss: 1.380 | Acc: 52.79% +2025-03-09 20:23:36,633 - train - INFO - Epoch: 24 | Batch: 300 | Loss: 1.385 | Acc: 52.65% +2025-03-09 20:23:39,821 - train - INFO - Epoch: 24 | Test Loss: 1.370 | Test Acc: 52.61% +2025-03-09 20:23:48,489 - train - INFO - Epoch: 25 | Batch: 0 | Loss: 1.393 | Acc: 53.12% +2025-03-09 20:23:50,419 - train - INFO - Epoch: 25 | Batch: 100 | Loss: 1.372 | Acc: 53.69% +2025-03-09 20:23:52,355 - train - INFO - Epoch: 25 | Batch: 200 | Loss: 1.400 | Acc: 52.04% +2025-03-09 20:23:54,234 - train - INFO - Epoch: 25 | Batch: 300 | Loss: 1.385 | Acc: 52.35% +2025-03-09 20:23:57,196 - train - INFO - Epoch: 25 | Test Loss: 1.394 | Test Acc: 52.26% +2025-03-09 20:23:57,352 - train - INFO - Epoch: 26 | Batch: 0 | Loss: 1.450 | Acc: 59.38% +2025-03-09 20:23:59,265 - train - INFO - Epoch: 26 | Batch: 100 | Loss: 1.348 | Acc: 54.16% +2025-03-09 20:24:01,145 - train - INFO - Epoch: 26 | Batch: 200 | Loss: 1.334 | Acc: 54.64% +2025-03-09 20:24:03,153 - train - INFO - Epoch: 26 | Batch: 300 | Loss: 1.333 | Acc: 54.60% +2025-03-09 20:24:06,282 - train - INFO - Epoch: 26 | Test Loss: 1.348 | Test Acc: 53.70% +2025-03-09 20:24:06,508 - train - INFO - Epoch: 27 | Batch: 0 | Loss: 1.219 | Acc: 58.59% +2025-03-09 20:24:08,538 - train - INFO - Epoch: 27 | Batch: 100 | Loss: 1.338 | Acc: 54.12% +2025-03-09 20:24:10,668 - train - INFO - Epoch: 27 | Batch: 200 | Loss: 1.350 | Acc: 53.35% +2025-03-09 20:24:12,748 - train - INFO - Epoch: 27 | Batch: 300 | Loss: 1.349 | Acc: 53.77% +2025-03-09 20:24:15,793 - train - INFO - Epoch: 27 | Test Loss: 1.359 | Test Acc: 52.39% +2025-03-09 20:24:15,977 - train - INFO - Epoch: 28 | Batch: 0 | Loss: 1.496 | Acc: 47.66% +2025-03-09 20:24:17,971 - train - INFO - Epoch: 28 | Batch: 100 | Loss: 1.372 | Acc: 52.45% +2025-03-09 20:24:19,834 - train - INFO - Epoch: 28 | Batch: 200 | Loss: 1.352 | Acc: 53.57% +2025-03-09 20:24:21,705 - train - INFO - Epoch: 28 | Batch: 300 | Loss: 1.358 | Acc: 53.43% +2025-03-09 20:24:24,689 - train - INFO - Epoch: 28 | Test Loss: 1.377 | Test Acc: 54.25% +2025-03-09 20:24:33,155 - train - INFO - Epoch: 29 | Batch: 0 | Loss: 1.412 | Acc: 48.44% +2025-03-09 20:24:35,070 - train - INFO - Epoch: 29 | Batch: 100 | Loss: 1.370 | Acc: 53.01% +2025-03-09 20:24:37,032 - train - INFO - Epoch: 29 | Batch: 200 | Loss: 1.367 | Acc: 53.06% +2025-03-09 20:24:39,067 - train - INFO - Epoch: 29 | Batch: 300 | Loss: 1.353 | Acc: 53.75% +2025-03-09 20:24:42,247 - train - INFO - Epoch: 29 | Test Loss: 1.488 | Test Acc: 47.56% +2025-03-09 20:24:42,420 - train - INFO - Epoch: 30 | Batch: 0 | Loss: 1.462 | Acc: 48.44% +2025-03-09 20:24:44,388 - train - INFO - Epoch: 30 | Batch: 100 | Loss: 1.386 | Acc: 52.71% +2025-03-09 20:24:46,476 - train - INFO - Epoch: 30 | Batch: 200 | Loss: 1.375 | Acc: 53.26% +2025-03-09 20:24:48,451 - train - INFO - Epoch: 30 | Batch: 300 | Loss: 1.367 | Acc: 53.45% +2025-03-09 20:24:51,659 - train - INFO - Epoch: 30 | Test Loss: 1.347 | Test Acc: 52.89% +2025-03-09 20:24:51,817 - train - INFO - Epoch: 31 | Batch: 0 | Loss: 1.475 | Acc: 51.56% +2025-03-09 20:24:53,919 - train - INFO - Epoch: 31 | Batch: 100 | Loss: 1.358 | Acc: 54.30% +2025-03-09 20:24:56,164 - train - INFO - Epoch: 31 | Batch: 200 | Loss: 1.349 | Acc: 54.70% +2025-03-09 20:24:58,081 - train - INFO - Epoch: 31 | Batch: 300 | Loss: 1.339 | Acc: 54.88% +2025-03-09 20:25:00,872 - train - INFO - Epoch: 31 | Test Loss: 1.342 | Test Acc: 54.27% +2025-03-09 20:25:01,010 - train - INFO - Epoch: 32 | Batch: 0 | Loss: 1.281 | Acc: 56.25% +2025-03-09 20:25:02,872 - train - INFO - Epoch: 32 | Batch: 100 | Loss: 1.343 | Acc: 54.04% +2025-03-09 20:25:04,904 - train - INFO - Epoch: 32 | Batch: 200 | Loss: 1.345 | Acc: 53.87% +2025-03-09 20:25:06,912 - train - INFO - Epoch: 32 | Batch: 300 | Loss: 1.336 | Acc: 54.46% +2025-03-09 20:25:09,820 - train - INFO - Epoch: 32 | Test Loss: 1.399 | Test Acc: 53.36% +2025-03-09 20:25:18,309 - train - INFO - Epoch: 33 | Batch: 0 | Loss: 1.352 | Acc: 57.81% +2025-03-09 20:25:20,363 - train - INFO - Epoch: 33 | Batch: 100 | Loss: 1.311 | Acc: 55.27% +2025-03-09 20:25:22,301 - train - INFO - Epoch: 33 | Batch: 200 | Loss: 1.311 | Acc: 55.33% +2025-03-09 20:25:24,323 - train - INFO - Epoch: 33 | Batch: 300 | Loss: 1.303 | Acc: 55.76% +2025-03-09 20:25:27,526 - train - INFO - Epoch: 33 | Test Loss: 1.348 | Test Acc: 55.64% +2025-03-09 20:25:27,697 - train - INFO - Epoch: 34 | Batch: 0 | Loss: 1.294 | Acc: 52.34% +2025-03-09 20:25:29,828 - train - INFO - Epoch: 34 | Batch: 100 | Loss: 1.319 | Acc: 55.61% +2025-03-09 20:25:31,968 - train - INFO - Epoch: 34 | Batch: 200 | Loss: 1.313 | Acc: 55.77% +2025-03-09 20:25:34,273 - train - INFO - Epoch: 34 | Batch: 300 | Loss: 1.317 | Acc: 55.53% +2025-03-09 20:25:37,696 - train - INFO - Epoch: 34 | Test Loss: 1.453 | Test Acc: 52.69% +2025-03-09 20:25:37,860 - train - INFO - Epoch: 35 | Batch: 0 | Loss: 1.607 | Acc: 48.44% +2025-03-09 20:25:40,073 - train - INFO - Epoch: 35 | Batch: 100 | Loss: 1.330 | Acc: 55.03% +2025-03-09 20:25:42,446 - train - INFO - Epoch: 35 | Batch: 200 | Loss: 1.314 | Acc: 55.59% +2025-03-09 20:25:44,548 - train - INFO - Epoch: 35 | Batch: 300 | Loss: 1.313 | Acc: 55.58% +2025-03-09 20:25:47,695 - train - INFO - Epoch: 35 | Test Loss: 1.366 | Test Acc: 53.31% +2025-03-09 20:25:47,852 - train - INFO - Epoch: 36 | Batch: 0 | Loss: 1.387 | Acc: 53.91% +2025-03-09 20:25:49,788 - train - INFO - Epoch: 36 | Batch: 100 | Loss: 1.331 | Acc: 55.28% +2025-03-09 20:25:51,705 - train - INFO - Epoch: 36 | Batch: 200 | Loss: 1.331 | Acc: 55.26% +2025-03-09 20:25:53,699 - train - INFO - Epoch: 36 | Batch: 300 | Loss: 1.332 | Acc: 55.45% +2025-03-09 20:25:56,774 - train - INFO - Epoch: 36 | Test Loss: 1.273 | Test Acc: 56.38% +2025-03-09 20:26:05,606 - train - INFO - Epoch: 37 | Batch: 0 | Loss: 1.296 | Acc: 58.59% +2025-03-09 20:26:07,890 - train - INFO - Epoch: 37 | Batch: 100 | Loss: 1.324 | Acc: 54.72% +2025-03-09 20:26:09,936 - train - INFO - Epoch: 37 | Batch: 200 | Loss: 1.321 | Acc: 55.64% +2025-03-09 20:26:12,029 - train - INFO - Epoch: 37 | Batch: 300 | Loss: 1.315 | Acc: 55.72% +2025-03-09 20:26:15,068 - train - INFO - Epoch: 37 | Test Loss: 1.290 | Test Acc: 56.71% +2025-03-09 20:26:15,238 - train - INFO - Epoch: 38 | Batch: 0 | Loss: 1.452 | Acc: 51.56% +2025-03-09 20:26:17,226 - train - INFO - Epoch: 38 | Batch: 100 | Loss: 1.312 | Acc: 56.12% +2025-03-09 20:26:19,216 - train - INFO - Epoch: 38 | Batch: 200 | Loss: 1.300 | Acc: 56.18% +2025-03-09 20:26:21,112 - train - INFO - Epoch: 38 | Batch: 300 | Loss: 1.306 | Acc: 55.91% +2025-03-09 20:26:23,992 - train - INFO - Epoch: 38 | Test Loss: 1.361 | Test Acc: 54.99% +2025-03-09 20:26:24,159 - train - INFO - Epoch: 39 | Batch: 0 | Loss: 1.445 | Acc: 52.34% +2025-03-09 20:26:26,133 - train - INFO - Epoch: 39 | Batch: 100 | Loss: 1.322 | Acc: 54.90% +2025-03-09 20:26:28,117 - train - INFO - Epoch: 39 | Batch: 200 | Loss: 1.314 | Acc: 55.84% +2025-03-09 20:26:30,147 - train - INFO - Epoch: 39 | Batch: 300 | Loss: 1.314 | Acc: 55.66% +2025-03-09 20:26:33,109 - train - INFO - Epoch: 39 | Test Loss: 1.350 | Test Acc: 54.42% +2025-03-09 20:26:33,294 - train - INFO - Epoch: 40 | Batch: 0 | Loss: 1.216 | Acc: 60.16% +2025-03-09 20:26:35,443 - train - INFO - Epoch: 40 | Batch: 100 | Loss: 1.298 | Acc: 56.68% +2025-03-09 20:26:38,192 - train - INFO - Epoch: 40 | Batch: 200 | Loss: 1.292 | Acc: 56.84% +2025-03-09 20:26:40,191 - train - INFO - Epoch: 40 | Batch: 300 | Loss: 1.288 | Acc: 56.83% +2025-03-09 20:26:43,736 - train - INFO - Epoch: 40 | Test Loss: 1.414 | Test Acc: 53.13% +2025-03-09 20:26:52,109 - train - INFO - Epoch: 41 | Batch: 0 | Loss: 1.310 | Acc: 50.78% +2025-03-09 20:26:53,954 - train - INFO - Epoch: 41 | Batch: 100 | Loss: 1.288 | Acc: 56.18% +2025-03-09 20:26:55,875 - train - INFO - Epoch: 41 | Batch: 200 | Loss: 1.305 | Acc: 55.85% +2025-03-09 20:26:57,745 - train - INFO - Epoch: 41 | Batch: 300 | Loss: 1.307 | Acc: 56.09% +2025-03-09 20:27:00,677 - train - INFO - Epoch: 41 | Test Loss: 1.363 | Test Acc: 53.66% +2025-03-09 20:27:00,850 - train - INFO - Epoch: 42 | Batch: 0 | Loss: 1.274 | Acc: 55.47% +2025-03-09 20:27:02,898 - train - INFO - Epoch: 42 | Batch: 100 | Loss: 1.287 | Acc: 56.66% +2025-03-09 20:27:04,913 - train - INFO - Epoch: 42 | Batch: 200 | Loss: 1.295 | Acc: 56.11% +2025-03-09 20:27:07,000 - train - INFO - Epoch: 42 | Batch: 300 | Loss: 1.310 | Acc: 55.73% +2025-03-09 20:27:10,353 - train - INFO - Epoch: 42 | Test Loss: 1.267 | Test Acc: 55.87% +2025-03-09 20:27:10,566 - train - INFO - Epoch: 43 | Batch: 0 | Loss: 1.068 | Acc: 61.72% +2025-03-09 20:27:12,538 - train - INFO - Epoch: 43 | Batch: 100 | Loss: 1.276 | Acc: 57.14% +2025-03-09 20:27:14,555 - train - INFO - Epoch: 43 | Batch: 200 | Loss: 1.281 | Acc: 56.92% +2025-03-09 20:27:16,452 - train - INFO - Epoch: 43 | Batch: 300 | Loss: 1.294 | Acc: 56.41% +2025-03-09 20:27:19,499 - train - INFO - Epoch: 43 | Test Loss: 1.402 | Test Acc: 54.51% +2025-03-09 20:27:19,668 - train - INFO - Epoch: 44 | Batch: 0 | Loss: 1.519 | Acc: 47.66% +2025-03-09 20:27:21,706 - train - INFO - Epoch: 44 | Batch: 100 | Loss: 1.300 | Acc: 56.28% +2025-03-09 20:27:23,755 - train - INFO - Epoch: 44 | Batch: 200 | Loss: 1.310 | Acc: 55.94% +2025-03-09 20:27:25,686 - train - INFO - Epoch: 44 | Batch: 300 | Loss: 1.307 | Acc: 56.03% +2025-03-09 20:27:28,811 - train - INFO - Epoch: 44 | Test Loss: 1.234 | Test Acc: 58.47% +2025-03-09 20:27:37,172 - train - INFO - Epoch: 45 | Batch: 0 | Loss: 1.269 | Acc: 58.59% +2025-03-09 20:27:39,166 - train - INFO - Epoch: 45 | Batch: 100 | Loss: 1.280 | Acc: 56.24% +2025-03-09 20:27:41,156 - train - INFO - Epoch: 45 | Batch: 200 | Loss: 1.286 | Acc: 56.27% +2025-03-09 20:27:43,004 - train - INFO - Epoch: 45 | Batch: 300 | Loss: 1.286 | Acc: 56.40% +2025-03-09 20:27:45,868 - train - INFO - Epoch: 45 | Test Loss: 1.282 | Test Acc: 55.78% +2025-03-09 20:27:46,023 - train - INFO - Epoch: 46 | Batch: 0 | Loss: 1.239 | Acc: 51.56% +2025-03-09 20:27:47,975 - train - INFO - Epoch: 46 | Batch: 100 | Loss: 1.302 | Acc: 55.83% +2025-03-09 20:27:49,950 - train - INFO - Epoch: 46 | Batch: 200 | Loss: 1.266 | Acc: 57.14% +2025-03-09 20:27:52,118 - train - INFO - Epoch: 46 | Batch: 300 | Loss: 1.255 | Acc: 57.51% +2025-03-09 20:27:55,154 - train - INFO - Epoch: 46 | Test Loss: 1.309 | Test Acc: 56.11% +2025-03-09 20:27:55,469 - train - INFO - Epoch: 47 | Batch: 0 | Loss: 1.226 | Acc: 57.03% +2025-03-09 20:27:57,480 - train - INFO - Epoch: 47 | Batch: 100 | Loss: 1.251 | Acc: 57.84% +2025-03-09 20:27:59,499 - train - INFO - Epoch: 47 | Batch: 200 | Loss: 1.258 | Acc: 57.76% +2025-03-09 20:28:01,442 - train - INFO - Epoch: 47 | Batch: 300 | Loss: 1.252 | Acc: 58.02% +2025-03-09 20:28:04,566 - train - INFO - Epoch: 47 | Test Loss: 1.253 | Test Acc: 57.28% +2025-03-09 20:28:04,739 - train - INFO - Epoch: 48 | Batch: 0 | Loss: 1.394 | Acc: 53.12% +2025-03-09 20:28:06,693 - train - INFO - Epoch: 48 | Batch: 100 | Loss: 1.278 | Acc: 56.41% +2025-03-09 20:28:08,637 - train - INFO - Epoch: 48 | Batch: 200 | Loss: 1.268 | Acc: 57.14% +2025-03-09 20:28:10,711 - train - INFO - Epoch: 48 | Batch: 300 | Loss: 1.262 | Acc: 57.50% +2025-03-09 20:28:13,848 - train - INFO - Epoch: 48 | Test Loss: 1.249 | Test Acc: 58.69% +2025-03-09 20:28:22,849 - train - INFO - Epoch: 49 | Batch: 0 | Loss: 1.235 | Acc: 60.94% +2025-03-09 20:28:24,718 - train - INFO - Epoch: 49 | Batch: 100 | Loss: 1.262 | Acc: 57.60% +2025-03-09 20:28:26,655 - train - INFO - Epoch: 49 | Batch: 200 | Loss: 1.252 | Acc: 57.92% +2025-03-09 20:28:28,615 - train - INFO - Epoch: 49 | Batch: 300 | Loss: 1.256 | Acc: 57.75% +2025-03-09 20:28:31,510 - train - INFO - Epoch: 49 | Test Loss: 1.236 | Test Acc: 59.64% +2025-03-09 20:28:31,684 - train - INFO - Epoch: 50 | Batch: 0 | Loss: 1.417 | Acc: 52.34% +2025-03-09 20:28:33,617 - train - INFO - Epoch: 50 | Batch: 100 | Loss: 1.226 | Acc: 58.89% +2025-03-09 20:28:35,516 - train - INFO - Epoch: 50 | Batch: 200 | Loss: 1.262 | Acc: 57.55% +2025-03-09 20:28:37,408 - train - INFO - Epoch: 50 | Batch: 300 | Loss: 1.257 | Acc: 57.70% +2025-03-09 20:28:40,309 - train - INFO - Epoch: 50 | Test Loss: 1.257 | Test Acc: 57.34% +2025-03-09 20:28:40,473 - train - INFO - Epoch: 51 | Batch: 0 | Loss: 1.113 | Acc: 63.28% +2025-03-09 20:28:42,519 - train - INFO - Epoch: 51 | Batch: 100 | Loss: 1.259 | Acc: 58.03% +2025-03-09 20:28:44,502 - train - INFO - Epoch: 51 | Batch: 200 | Loss: 1.264 | Acc: 57.69% +2025-03-09 20:28:46,631 - train - INFO - Epoch: 51 | Batch: 300 | Loss: 1.269 | Acc: 57.29% +2025-03-09 20:28:49,638 - train - INFO - Epoch: 51 | Test Loss: 1.281 | Test Acc: 57.03% +2025-03-09 20:28:49,812 - train - INFO - Epoch: 52 | Batch: 0 | Loss: 1.257 | Acc: 55.47% +2025-03-09 20:28:51,845 - train - INFO - Epoch: 52 | Batch: 100 | Loss: 1.262 | Acc: 57.78% +2025-03-09 20:28:53,837 - train - INFO - Epoch: 52 | Batch: 200 | Loss: 1.265 | Acc: 57.56% +2025-03-09 20:28:55,995 - train - INFO - Epoch: 52 | Batch: 300 | Loss: 1.261 | Acc: 57.63% +2025-03-09 20:28:59,048 - train - INFO - Epoch: 52 | Test Loss: 1.331 | Test Acc: 53.97% +2025-03-09 20:29:07,981 - train - INFO - Epoch: 53 | Batch: 0 | Loss: 1.271 | Acc: 53.91% +2025-03-09 20:29:09,928 - train - INFO - Epoch: 53 | Batch: 100 | Loss: 1.254 | Acc: 58.34% +2025-03-09 20:29:11,910 - train - INFO - Epoch: 53 | Batch: 200 | Loss: 1.252 | Acc: 58.11% +2025-03-09 20:29:13,867 - train - INFO - Epoch: 53 | Batch: 300 | Loss: 1.262 | Acc: 57.70% +2025-03-09 20:29:16,853 - train - INFO - Epoch: 53 | Test Loss: 1.308 | Test Acc: 57.07% +2025-03-09 20:29:17,032 - train - INFO - Epoch: 54 | Batch: 0 | Loss: 1.168 | Acc: 60.16% +2025-03-09 20:29:18,963 - train - INFO - Epoch: 54 | Batch: 100 | Loss: 1.250 | Acc: 57.74% +2025-03-09 20:29:20,860 - train - INFO - Epoch: 54 | Batch: 200 | Loss: 1.238 | Acc: 58.21% +2025-03-09 20:29:22,743 - train - INFO - Epoch: 54 | Batch: 300 | Loss: 1.241 | Acc: 58.10% +2025-03-09 20:29:25,703 - train - INFO - Epoch: 54 | Test Loss: 1.218 | Test Acc: 59.11% +2025-03-09 20:29:25,847 - train - INFO - Epoch: 55 | Batch: 0 | Loss: 1.268 | Acc: 60.16% +2025-03-09 20:29:27,805 - train - INFO - Epoch: 55 | Batch: 100 | Loss: 1.251 | Acc: 57.75% +2025-03-09 20:29:29,824 - train - INFO - Epoch: 55 | Batch: 200 | Loss: 1.233 | Acc: 58.28% +2025-03-09 20:29:31,744 - train - INFO - Epoch: 55 | Batch: 300 | Loss: 1.229 | Acc: 58.43% +2025-03-09 20:29:34,830 - train - INFO - Epoch: 55 | Test Loss: 1.157 | Test Acc: 61.97% +2025-03-09 20:29:35,053 - train - INFO - Epoch: 56 | Batch: 0 | Loss: 1.206 | Acc: 57.81% +2025-03-09 20:29:37,115 - train - INFO - Epoch: 56 | Batch: 100 | Loss: 1.258 | Acc: 57.43% +2025-03-09 20:29:39,236 - train - INFO - Epoch: 56 | Batch: 200 | Loss: 1.241 | Acc: 58.07% +2025-03-09 20:29:41,226 - train - INFO - Epoch: 56 | Batch: 300 | Loss: 1.233 | Acc: 58.52% +2025-03-09 20:29:44,437 - train - INFO - Epoch: 56 | Test Loss: 1.167 | Test Acc: 60.27% +2025-03-09 20:29:52,970 - train - INFO - Epoch: 57 | Batch: 0 | Loss: 1.121 | Acc: 60.16% +2025-03-09 20:29:55,013 - train - INFO - Epoch: 57 | Batch: 100 | Loss: 1.195 | Acc: 60.04% +2025-03-09 20:29:57,034 - train - INFO - Epoch: 57 | Batch: 200 | Loss: 1.213 | Acc: 59.17% +2025-03-09 20:29:58,980 - train - INFO - Epoch: 57 | Batch: 300 | Loss: 1.219 | Acc: 58.95% +2025-03-09 20:30:01,938 - train - INFO - Epoch: 57 | Test Loss: 1.274 | Test Acc: 57.75% +2025-03-09 20:30:02,116 - train - INFO - Epoch: 58 | Batch: 0 | Loss: 1.284 | Acc: 53.12% +2025-03-09 20:30:04,029 - train - INFO - Epoch: 58 | Batch: 100 | Loss: 1.250 | Acc: 58.62% +2025-03-09 20:30:06,039 - train - INFO - Epoch: 58 | Batch: 200 | Loss: 1.243 | Acc: 58.39% +2025-03-09 20:30:08,038 - train - INFO - Epoch: 58 | Batch: 300 | Loss: 1.240 | Acc: 58.48% +2025-03-09 20:30:11,145 - train - INFO - Epoch: 58 | Test Loss: 1.232 | Test Acc: 58.94% +2025-03-09 20:30:11,327 - train - INFO - Epoch: 59 | Batch: 0 | Loss: 1.047 | Acc: 63.28% +2025-03-09 20:30:13,348 - train - INFO - Epoch: 59 | Batch: 100 | Loss: 1.210 | Acc: 59.13% +2025-03-09 20:30:15,556 - train - INFO - Epoch: 59 | Batch: 200 | Loss: 1.208 | Acc: 59.16% +2025-03-09 20:30:17,594 - train - INFO - Epoch: 59 | Batch: 300 | Loss: 1.212 | Acc: 59.30% +2025-03-09 20:30:20,606 - train - INFO - Epoch: 59 | Test Loss: 1.165 | Test Acc: 62.08% +2025-03-09 20:30:20,783 - train - INFO - Epoch: 60 | Batch: 0 | Loss: 1.238 | Acc: 55.47% +2025-03-09 20:30:22,724 - train - INFO - Epoch: 60 | Batch: 100 | Loss: 1.218 | Acc: 58.86% +2025-03-09 20:30:24,630 - train - INFO - Epoch: 60 | Batch: 200 | Loss: 1.215 | Acc: 58.99% +2025-03-09 20:30:26,703 - train - INFO - Epoch: 60 | Batch: 300 | Loss: 1.215 | Acc: 59.11% +2025-03-09 20:30:29,708 - train - INFO - Epoch: 60 | Test Loss: 1.178 | Test Acc: 60.43% +2025-03-09 20:30:38,516 - train - INFO - Epoch: 61 | Batch: 0 | Loss: 1.265 | Acc: 58.59% +2025-03-09 20:30:40,669 - train - INFO - Epoch: 61 | Batch: 100 | Loss: 1.206 | Acc: 59.23% +2025-03-09 20:30:42,615 - train - INFO - Epoch: 61 | Batch: 200 | Loss: 1.196 | Acc: 59.98% +2025-03-09 20:30:44,531 - train - INFO - Epoch: 61 | Batch: 300 | Loss: 1.183 | Acc: 60.42% +2025-03-09 20:30:47,435 - train - INFO - Epoch: 61 | Test Loss: 1.302 | Test Acc: 57.91% +2025-03-09 20:30:47,597 - train - INFO - Epoch: 62 | Batch: 0 | Loss: 1.109 | Acc: 64.06% +2025-03-09 20:30:49,444 - train - INFO - Epoch: 62 | Batch: 100 | Loss: 1.195 | Acc: 60.26% +2025-03-09 20:30:51,346 - train - INFO - Epoch: 62 | Batch: 200 | Loss: 1.189 | Acc: 60.26% +2025-03-09 20:30:53,324 - train - INFO - Epoch: 62 | Batch: 300 | Loss: 1.198 | Acc: 59.84% +2025-03-09 20:30:56,425 - train - INFO - Epoch: 62 | Test Loss: 1.144 | Test Acc: 61.91% +2025-03-09 20:30:56,594 - train - INFO - Epoch: 63 | Batch: 0 | Loss: 1.158 | Acc: 57.81% +2025-03-09 20:30:58,593 - train - INFO - Epoch: 63 | Batch: 100 | Loss: 1.202 | Acc: 60.19% +2025-03-09 20:31:00,631 - train - INFO - Epoch: 63 | Batch: 200 | Loss: 1.201 | Acc: 60.02% +2025-03-09 20:31:02,630 - train - INFO - Epoch: 63 | Batch: 300 | Loss: 1.205 | Acc: 59.69% +2025-03-09 20:31:06,449 - train - INFO - Epoch: 63 | Test Loss: 1.192 | Test Acc: 60.56% +2025-03-09 20:31:06,659 - train - INFO - Epoch: 64 | Batch: 0 | Loss: 1.170 | Acc: 67.97% +2025-03-09 20:31:08,897 - train - INFO - Epoch: 64 | Batch: 100 | Loss: 1.166 | Acc: 60.61% +2025-03-09 20:31:11,221 - train - INFO - Epoch: 64 | Batch: 200 | Loss: 1.184 | Acc: 60.09% +2025-03-09 20:31:13,224 - train - INFO - Epoch: 64 | Batch: 300 | Loss: 1.188 | Acc: 60.04% +2025-03-09 20:31:16,234 - train - INFO - Epoch: 64 | Test Loss: 1.150 | Test Acc: 62.05% +2025-03-09 20:31:24,778 - train - INFO - Epoch: 65 | Batch: 0 | Loss: 1.002 | Acc: 61.72% +2025-03-09 20:31:26,799 - train - INFO - Epoch: 65 | Batch: 100 | Loss: 1.141 | Acc: 61.68% +2025-03-09 20:31:28,890 - train - INFO - Epoch: 65 | Batch: 200 | Loss: 1.169 | Acc: 60.47% +2025-03-09 20:31:30,932 - train - INFO - Epoch: 65 | Batch: 300 | Loss: 1.173 | Acc: 60.45% +2025-03-09 20:31:34,033 - train - INFO - Epoch: 65 | Test Loss: 1.124 | Test Acc: 62.72% +2025-03-09 20:31:34,227 - train - INFO - Epoch: 66 | Batch: 0 | Loss: 1.387 | Acc: 53.91% +2025-03-09 20:31:36,268 - train - INFO - Epoch: 66 | Batch: 100 | Loss: 1.168 | Acc: 61.05% +2025-03-09 20:31:38,189 - train - INFO - Epoch: 66 | Batch: 200 | Loss: 1.175 | Acc: 61.00% +2025-03-09 20:31:40,070 - train - INFO - Epoch: 66 | Batch: 300 | Loss: 1.175 | Acc: 60.98% +2025-03-09 20:31:42,970 - train - INFO - Epoch: 66 | Test Loss: 1.184 | Test Acc: 61.65% +2025-03-09 20:31:43,120 - train - INFO - Epoch: 67 | Batch: 0 | Loss: 1.150 | Acc: 61.72% +2025-03-09 20:31:45,207 - train - INFO - Epoch: 67 | Batch: 100 | Loss: 1.149 | Acc: 61.84% +2025-03-09 20:31:47,200 - train - INFO - Epoch: 67 | Batch: 200 | Loss: 1.171 | Acc: 61.07% +2025-03-09 20:31:49,096 - train - INFO - Epoch: 67 | Batch: 300 | Loss: 1.165 | Acc: 61.19% +2025-03-09 20:31:52,455 - train - INFO - Epoch: 67 | Test Loss: 1.216 | Test Acc: 60.41% +2025-03-09 20:31:52,629 - train - INFO - Epoch: 68 | Batch: 0 | Loss: 1.103 | Acc: 61.72% +2025-03-09 20:31:54,772 - train - INFO - Epoch: 68 | Batch: 100 | Loss: 1.161 | Acc: 61.22% +2025-03-09 20:31:56,740 - train - INFO - Epoch: 68 | Batch: 200 | Loss: 1.154 | Acc: 61.48% +2025-03-09 20:31:59,231 - train - INFO - Epoch: 68 | Batch: 300 | Loss: 1.162 | Acc: 61.29% +2025-03-09 20:32:02,617 - train - INFO - Epoch: 68 | Test Loss: 1.161 | Test Acc: 61.05% +2025-03-09 20:32:10,865 - train - INFO - Epoch: 69 | Batch: 0 | Loss: 1.238 | Acc: 55.47% +2025-03-09 20:32:12,884 - train - INFO - Epoch: 69 | Batch: 100 | Loss: 1.173 | Acc: 60.76% +2025-03-09 20:32:14,815 - train - INFO - Epoch: 69 | Batch: 200 | Loss: 1.175 | Acc: 60.64% +2025-03-09 20:32:16,725 - train - INFO - Epoch: 69 | Batch: 300 | Loss: 1.183 | Acc: 60.28% +2025-03-09 20:32:19,765 - train - INFO - Epoch: 69 | Test Loss: 1.230 | Test Acc: 58.66% +2025-03-09 20:32:19,932 - train - INFO - Epoch: 70 | Batch: 0 | Loss: 1.389 | Acc: 54.69% +2025-03-09 20:32:22,033 - train - INFO - Epoch: 70 | Batch: 100 | Loss: 1.158 | Acc: 61.07% +2025-03-09 20:32:24,089 - train - INFO - Epoch: 70 | Batch: 200 | Loss: 1.157 | Acc: 60.95% +2025-03-09 20:32:26,117 - train - INFO - Epoch: 70 | Batch: 300 | Loss: 1.166 | Acc: 60.71% +2025-03-09 20:32:29,298 - train - INFO - Epoch: 70 | Test Loss: 1.226 | Test Acc: 59.05% +2025-03-09 20:32:29,467 - train - INFO - Epoch: 71 | Batch: 0 | Loss: 1.339 | Acc: 55.47% +2025-03-09 20:32:31,438 - train - INFO - Epoch: 71 | Batch: 100 | Loss: 1.167 | Acc: 60.74% +2025-03-09 20:32:33,454 - train - INFO - Epoch: 71 | Batch: 200 | Loss: 1.162 | Acc: 61.08% +2025-03-09 20:32:35,462 - train - INFO - Epoch: 71 | Batch: 300 | Loss: 1.162 | Acc: 61.09% +2025-03-09 20:32:38,625 - train - INFO - Epoch: 71 | Test Loss: 1.196 | Test Acc: 60.13% +2025-03-09 20:32:38,825 - train - INFO - Epoch: 72 | Batch: 0 | Loss: 1.065 | Acc: 67.97% +2025-03-09 20:32:41,013 - train - INFO - Epoch: 72 | Batch: 100 | Loss: 1.153 | Acc: 61.68% +2025-03-09 20:32:43,148 - train - INFO - Epoch: 72 | Batch: 200 | Loss: 1.139 | Acc: 62.09% +2025-03-09 20:32:45,102 - train - INFO - Epoch: 72 | Batch: 300 | Loss: 1.142 | Acc: 61.86% +2025-03-09 20:32:48,052 - train - INFO - Epoch: 72 | Test Loss: 1.178 | Test Acc: 60.15% +2025-03-09 20:32:56,719 - train - INFO - Epoch: 73 | Batch: 0 | Loss: 1.149 | Acc: 57.81% +2025-03-09 20:32:58,840 - train - INFO - Epoch: 73 | Batch: 100 | Loss: 1.124 | Acc: 62.13% +2025-03-09 20:33:01,060 - train - INFO - Epoch: 73 | Batch: 200 | Loss: 1.124 | Acc: 62.22% +2025-03-09 20:33:02,959 - train - INFO - Epoch: 73 | Batch: 300 | Loss: 1.124 | Acc: 62.25% +2025-03-09 20:33:06,081 - train - INFO - Epoch: 73 | Test Loss: 1.108 | Test Acc: 62.58% +2025-03-09 20:33:06,242 - train - INFO - Epoch: 74 | Batch: 0 | Loss: 0.976 | Acc: 64.06% +2025-03-09 20:33:08,117 - train - INFO - Epoch: 74 | Batch: 100 | Loss: 1.129 | Acc: 61.83% +2025-03-09 20:33:10,070 - train - INFO - Epoch: 74 | Batch: 200 | Loss: 1.141 | Acc: 61.62% +2025-03-09 20:33:12,009 - train - INFO - Epoch: 74 | Batch: 300 | Loss: 1.139 | Acc: 61.84% +2025-03-09 20:33:14,980 - train - INFO - Epoch: 74 | Test Loss: 1.232 | Test Acc: 57.82% +2025-03-09 20:33:15,160 - train - INFO - Epoch: 75 | Batch: 0 | Loss: 1.104 | Acc: 60.94% +2025-03-09 20:33:17,074 - train - INFO - Epoch: 75 | Batch: 100 | Loss: 1.153 | Acc: 61.48% +2025-03-09 20:33:18,961 - train - INFO - Epoch: 75 | Batch: 200 | Loss: 1.149 | Acc: 61.54% +2025-03-09 20:33:20,780 - train - INFO - Epoch: 75 | Batch: 300 | Loss: 1.141 | Acc: 61.77% +2025-03-09 20:33:23,699 - train - INFO - Epoch: 75 | Test Loss: 1.157 | Test Acc: 61.00% +2025-03-09 20:33:23,864 - train - INFO - Epoch: 76 | Batch: 0 | Loss: 1.193 | Acc: 60.94% +2025-03-09 20:33:25,763 - train - INFO - Epoch: 76 | Batch: 100 | Loss: 1.147 | Acc: 61.41% +2025-03-09 20:33:27,728 - train - INFO - Epoch: 76 | Batch: 200 | Loss: 1.138 | Acc: 61.87% +2025-03-09 20:33:29,731 - train - INFO - Epoch: 76 | Batch: 300 | Loss: 1.143 | Acc: 61.68% +2025-03-09 20:33:32,727 - train - INFO - Epoch: 76 | Test Loss: 1.101 | Test Acc: 63.51% +2025-03-09 20:33:41,051 - train - INFO - Epoch: 77 | Batch: 0 | Loss: 1.110 | Acc: 59.38% +2025-03-09 20:33:42,990 - train - INFO - Epoch: 77 | Batch: 100 | Loss: 1.108 | Acc: 62.87% +2025-03-09 20:33:44,886 - train - INFO - Epoch: 77 | Batch: 200 | Loss: 1.115 | Acc: 62.29% +2025-03-09 20:33:46,815 - train - INFO - Epoch: 77 | Batch: 300 | Loss: 1.119 | Acc: 62.45% +2025-03-09 20:33:49,764 - train - INFO - Epoch: 77 | Test Loss: 1.099 | Test Acc: 63.53% +2025-03-09 20:33:49,916 - train - INFO - Epoch: 78 | Batch: 0 | Loss: 1.111 | Acc: 64.84% +2025-03-09 20:33:51,904 - train - INFO - Epoch: 78 | Batch: 100 | Loss: 1.127 | Acc: 62.42% +2025-03-09 20:33:53,862 - train - INFO - Epoch: 78 | Batch: 200 | Loss: 1.127 | Acc: 62.17% +2025-03-09 20:33:55,835 - train - INFO - Epoch: 78 | Batch: 300 | Loss: 1.125 | Acc: 62.13% +2025-03-09 20:33:58,919 - train - INFO - Epoch: 78 | Test Loss: 1.075 | Test Acc: 63.41% +2025-03-09 20:33:59,092 - train - INFO - Epoch: 79 | Batch: 0 | Loss: 0.990 | Acc: 67.19% +2025-03-09 20:34:01,066 - train - INFO - Epoch: 79 | Batch: 100 | Loss: 1.107 | Acc: 62.40% +2025-03-09 20:34:03,169 - train - INFO - Epoch: 79 | Batch: 200 | Loss: 1.105 | Acc: 62.84% +2025-03-09 20:34:05,127 - train - INFO - Epoch: 79 | Batch: 300 | Loss: 1.102 | Acc: 63.05% +2025-03-09 20:34:08,053 - train - INFO - Epoch: 79 | Test Loss: 1.190 | Test Acc: 60.83% +2025-03-09 20:34:08,244 - train - INFO - Epoch: 80 | Batch: 0 | Loss: 1.227 | Acc: 60.16% +2025-03-09 20:34:10,084 - train - INFO - Epoch: 80 | Batch: 100 | Loss: 1.120 | Acc: 62.61% +2025-03-09 20:34:11,957 - train - INFO - Epoch: 80 | Batch: 200 | Loss: 1.102 | Acc: 62.97% +2025-03-09 20:34:13,864 - train - INFO - Epoch: 80 | Batch: 300 | Loss: 1.109 | Acc: 62.86% +2025-03-09 20:34:16,933 - train - INFO - Epoch: 80 | Test Loss: 1.065 | Test Acc: 64.60% +2025-03-09 20:34:25,319 - train - INFO - Epoch: 81 | Batch: 0 | Loss: 1.093 | Acc: 60.16% +2025-03-09 20:34:27,214 - train - INFO - Epoch: 81 | Batch: 100 | Loss: 1.133 | Acc: 62.27% +2025-03-09 20:34:29,084 - train - INFO - Epoch: 81 | Batch: 200 | Loss: 1.107 | Acc: 63.35% +2025-03-09 20:34:31,102 - train - INFO - Epoch: 81 | Batch: 300 | Loss: 1.102 | Acc: 63.25% +2025-03-09 20:34:34,224 - train - INFO - Epoch: 81 | Test Loss: 1.085 | Test Acc: 63.63% +2025-03-09 20:34:34,386 - train - INFO - Epoch: 82 | Batch: 0 | Loss: 1.183 | Acc: 58.59% +2025-03-09 20:34:36,276 - train - INFO - Epoch: 82 | Batch: 100 | Loss: 1.093 | Acc: 63.10% +2025-03-09 20:34:38,370 - train - INFO - Epoch: 82 | Batch: 200 | Loss: 1.084 | Acc: 63.45% +2025-03-09 20:34:40,329 - train - INFO - Epoch: 82 | Batch: 300 | Loss: 1.083 | Acc: 63.66% +2025-03-09 20:34:43,386 - train - INFO - Epoch: 82 | Test Loss: 1.124 | Test Acc: 62.13% +2025-03-09 20:34:43,538 - train - INFO - Epoch: 83 | Batch: 0 | Loss: 1.178 | Acc: 57.81% +2025-03-09 20:34:45,536 - train - INFO - Epoch: 83 | Batch: 100 | Loss: 1.103 | Acc: 63.26% +2025-03-09 20:34:47,538 - train - INFO - Epoch: 83 | Batch: 200 | Loss: 1.090 | Acc: 63.46% +2025-03-09 20:34:49,608 - train - INFO - Epoch: 83 | Batch: 300 | Loss: 1.091 | Acc: 63.37% +2025-03-09 20:34:52,626 - train - INFO - Epoch: 83 | Test Loss: 1.165 | Test Acc: 62.11% +2025-03-09 20:34:52,802 - train - INFO - Epoch: 84 | Batch: 0 | Loss: 1.103 | Acc: 67.19% +2025-03-09 20:34:54,966 - train - INFO - Epoch: 84 | Batch: 100 | Loss: 1.115 | Acc: 62.58% +2025-03-09 20:34:57,031 - train - INFO - Epoch: 84 | Batch: 200 | Loss: 1.091 | Acc: 63.27% +2025-03-09 20:34:59,134 - train - INFO - Epoch: 84 | Batch: 300 | Loss: 1.097 | Acc: 63.19% +2025-03-09 20:35:02,352 - train - INFO - Epoch: 84 | Test Loss: 1.085 | Test Acc: 63.95% +2025-03-09 20:35:10,685 - train - INFO - Epoch: 85 | Batch: 0 | Loss: 1.311 | Acc: 59.38% +2025-03-09 20:35:12,612 - train - INFO - Epoch: 85 | Batch: 100 | Loss: 1.084 | Acc: 63.76% +2025-03-09 20:35:14,479 - train - INFO - Epoch: 85 | Batch: 200 | Loss: 1.078 | Acc: 64.00% +2025-03-09 20:35:16,456 - train - INFO - Epoch: 85 | Batch: 300 | Loss: 1.092 | Acc: 63.53% +2025-03-09 20:35:19,502 - train - INFO - Epoch: 85 | Test Loss: 1.063 | Test Acc: 63.69% +2025-03-09 20:35:19,675 - train - INFO - Epoch: 86 | Batch: 0 | Loss: 0.918 | Acc: 71.88% +2025-03-09 20:35:21,627 - train - INFO - Epoch: 86 | Batch: 100 | Loss: 1.078 | Acc: 63.58% +2025-03-09 20:35:23,603 - train - INFO - Epoch: 86 | Batch: 200 | Loss: 1.080 | Acc: 63.76% +2025-03-09 20:35:25,467 - train - INFO - Epoch: 86 | Batch: 300 | Loss: 1.081 | Acc: 63.70% +2025-03-09 20:35:28,448 - train - INFO - Epoch: 86 | Test Loss: 1.040 | Test Acc: 65.00% +2025-03-09 20:35:28,618 - train - INFO - Epoch: 87 | Batch: 0 | Loss: 1.037 | Acc: 64.06% +2025-03-09 20:35:30,607 - train - INFO - Epoch: 87 | Batch: 100 | Loss: 1.045 | Acc: 64.91% +2025-03-09 20:35:32,555 - train - INFO - Epoch: 87 | Batch: 200 | Loss: 1.054 | Acc: 64.58% +2025-03-09 20:35:34,461 - train - INFO - Epoch: 87 | Batch: 300 | Loss: 1.055 | Acc: 64.54% +2025-03-09 20:35:37,534 - train - INFO - Epoch: 87 | Test Loss: 1.117 | Test Acc: 63.18% +2025-03-09 20:35:37,728 - train - INFO - Epoch: 88 | Batch: 0 | Loss: 1.114 | Acc: 64.06% +2025-03-09 20:35:39,667 - train - INFO - Epoch: 88 | Batch: 100 | Loss: 1.081 | Acc: 63.65% +2025-03-09 20:35:41,724 - train - INFO - Epoch: 88 | Batch: 200 | Loss: 1.089 | Acc: 63.46% +2025-03-09 20:35:43,693 - train - INFO - Epoch: 88 | Batch: 300 | Loss: 1.080 | Acc: 63.89% +2025-03-09 20:35:46,704 - train - INFO - Epoch: 88 | Test Loss: 1.116 | Test Acc: 62.02% +2025-03-09 20:35:55,157 - train - INFO - Epoch: 89 | Batch: 0 | Loss: 1.281 | Acc: 59.38% +2025-03-09 20:35:57,082 - train - INFO - Epoch: 89 | Batch: 100 | Loss: 1.027 | Acc: 65.76% +2025-03-09 20:35:59,072 - train - INFO - Epoch: 89 | Batch: 200 | Loss: 1.056 | Acc: 64.67% +2025-03-09 20:36:00,922 - train - INFO - Epoch: 89 | Batch: 300 | Loss: 1.067 | Acc: 64.10% +2025-03-09 20:36:03,799 - train - INFO - Epoch: 89 | Test Loss: 1.044 | Test Acc: 64.42% +2025-03-09 20:36:03,955 - train - INFO - Epoch: 90 | Batch: 0 | Loss: 1.228 | Acc: 53.91% +2025-03-09 20:36:05,961 - train - INFO - Epoch: 90 | Batch: 100 | Loss: 1.043 | Acc: 64.84% +2025-03-09 20:36:48,800 - train - INFO - Epoch: 90 | Batch: 200 | Loss: 1.040 | Acc: 64.89% +2025-03-09 20:36:50,792 - train - INFO - Epoch: 90 | Batch: 300 | Loss: 1.049 | Acc: 64.79% +2025-03-09 20:36:53,914 - train - INFO - Epoch: 90 | Test Loss: 1.150 | Test Acc: 61.58% +2025-03-09 20:36:54,094 - train - INFO - Epoch: 91 | Batch: 0 | Loss: 1.127 | Acc: 59.38% +2025-03-09 20:36:56,089 - train - INFO - Epoch: 91 | Batch: 100 | Loss: 1.053 | Acc: 64.09% +2025-03-09 20:36:58,254 - train - INFO - Epoch: 91 | Batch: 200 | Loss: 1.043 | Acc: 64.86% +2025-03-09 20:37:00,272 - train - INFO - Epoch: 91 | Batch: 300 | Loss: 1.049 | Acc: 64.74% +2025-03-09 20:37:50,812 - train - INFO - Epoch: 91 | Test Loss: 1.092 | Test Acc: 63.34% +2025-03-09 20:37:50,972 - train - INFO - Epoch: 92 | Batch: 0 | Loss: 1.025 | Acc: 66.41% +2025-03-09 20:37:52,835 - train - INFO - Epoch: 92 | Batch: 100 | Loss: 1.039 | Acc: 64.90% +2025-03-09 20:37:54,790 - train - INFO - Epoch: 92 | Batch: 200 | Loss: 1.041 | Acc: 64.68% +2025-03-09 20:37:56,666 - train - INFO - Epoch: 92 | Batch: 300 | Loss: 1.037 | Acc: 64.84% +2025-03-09 20:37:59,681 - train - INFO - Epoch: 92 | Test Loss: 1.112 | Test Acc: 62.78% +2025-03-09 20:38:53,132 - train - INFO - Epoch: 93 | Batch: 0 | Loss: 1.193 | Acc: 56.25% +2025-03-09 20:38:55,019 - train - INFO - Epoch: 93 | Batch: 100 | Loss: 1.057 | Acc: 64.53% +2025-03-09 20:38:56,952 - train - INFO - Epoch: 93 | Batch: 200 | Loss: 1.046 | Acc: 65.06% +2025-03-09 20:38:58,885 - train - INFO - Epoch: 93 | Batch: 300 | Loss: 1.044 | Acc: 65.08% +2025-03-09 20:39:02,028 - train - INFO - Epoch: 93 | Test Loss: 1.024 | Test Acc: 65.24% +2025-03-09 20:39:02,185 - train - INFO - Epoch: 94 | Batch: 0 | Loss: 1.010 | Acc: 64.06% +2025-03-09 20:39:04,323 - train - INFO - Epoch: 94 | Batch: 100 | Loss: 1.023 | Acc: 65.28% +2025-03-09 20:39:49,435 - train - INFO - Epoch: 94 | Batch: 200 | Loss: 1.023 | Acc: 65.44% +2025-03-09 20:39:51,309 - train - INFO - Epoch: 94 | Batch: 300 | Loss: 1.027 | Acc: 65.52% +2025-03-09 20:39:54,281 - train - INFO - Epoch: 94 | Test Loss: 1.013 | Test Acc: 67.01% +2025-03-09 20:39:54,472 - train - INFO - Epoch: 95 | Batch: 0 | Loss: 1.236 | Acc: 59.38% +2025-03-09 20:39:56,452 - train - INFO - Epoch: 95 | Batch: 100 | Loss: 1.011 | Acc: 65.98% +2025-03-09 20:39:58,416 - train - INFO - Epoch: 95 | Batch: 200 | Loss: 1.012 | Acc: 65.91% +2025-03-09 20:40:48,850 - train - INFO - Epoch: 95 | Batch: 300 | Loss: 1.019 | Acc: 65.65% +2025-03-09 20:40:51,907 - train - INFO - Epoch: 95 | Test Loss: 0.994 | Test Acc: 66.97% +2025-03-09 20:40:52,057 - train - INFO - Epoch: 96 | Batch: 0 | Loss: 0.973 | Acc: 67.97% +2025-03-09 20:40:54,040 - train - INFO - Epoch: 96 | Batch: 100 | Loss: 1.040 | Acc: 65.18% +2025-03-09 20:40:56,141 - train - INFO - Epoch: 96 | Batch: 200 | Loss: 1.035 | Acc: 64.95% +2025-03-09 20:40:58,151 - train - INFO - Epoch: 96 | Batch: 300 | Loss: 1.021 | Acc: 65.43% +2025-03-09 20:41:48,845 - train - INFO - Epoch: 96 | Test Loss: 1.065 | Test Acc: 64.38% +2025-03-09 20:41:57,437 - train - INFO - Epoch: 97 | Batch: 0 | Loss: 0.995 | Acc: 66.41% +2025-03-09 20:41:59,481 - train - INFO - Epoch: 97 | Batch: 100 | Loss: 1.012 | Acc: 66.12% +2025-03-09 20:42:01,488 - train - INFO - Epoch: 97 | Batch: 200 | Loss: 0.995 | Acc: 66.64% +2025-03-09 20:42:03,533 - train - INFO - Epoch: 97 | Batch: 300 | Loss: 1.014 | Acc: 66.01% +2025-03-09 20:42:06,717 - train - INFO - Epoch: 97 | Test Loss: 1.043 | Test Acc: 64.98% +2025-03-09 20:42:06,871 - train - INFO - Epoch: 98 | Batch: 0 | Loss: 1.299 | Acc: 58.59% +2025-03-09 20:42:09,116 - train - INFO - Epoch: 98 | Batch: 100 | Loss: 0.971 | Acc: 67.10% +2025-03-09 20:42:50,612 - train - INFO - Epoch: 98 | Batch: 200 | Loss: 0.997 | Acc: 66.37% +2025-03-09 20:42:52,541 - train - INFO - Epoch: 98 | Batch: 300 | Loss: 1.001 | Acc: 66.31% +2025-03-09 20:42:55,458 - train - INFO - Epoch: 98 | Test Loss: 1.017 | Test Acc: 65.77% +2025-03-09 20:42:55,635 - train - INFO - Epoch: 99 | Batch: 0 | Loss: 1.074 | Acc: 66.41% +2025-03-09 20:42:57,563 - train - INFO - Epoch: 99 | Batch: 100 | Loss: 1.027 | Acc: 65.38% +2025-03-09 20:42:59,650 - train - INFO - Epoch: 99 | Batch: 200 | Loss: 1.013 | Acc: 66.04% +2025-03-09 20:43:49,927 - train - INFO - Epoch: 99 | Batch: 300 | Loss: 1.010 | Acc: 66.04% +2025-03-09 20:43:53,133 - train - INFO - Epoch: 99 | Test Loss: 1.013 | Test Acc: 66.35% +2025-03-09 20:43:53,291 - train - INFO - Epoch: 100 | Batch: 0 | Loss: 0.778 | Acc: 76.56% +2025-03-09 20:43:55,285 - train - INFO - Epoch: 100 | Batch: 100 | Loss: 0.999 | Acc: 66.10% +2025-03-09 20:43:57,360 - train - INFO - Epoch: 100 | Batch: 200 | Loss: 0.995 | Acc: 66.41% +2025-03-09 20:43:59,416 - train - INFO - Epoch: 100 | Batch: 300 | Loss: 0.994 | Acc: 66.56% +2025-03-09 20:44:49,933 - train - INFO - Epoch: 100 | Test Loss: 1.009 | Test Acc: 65.66% +2025-03-09 20:44:58,423 - train - INFO - 训练完成! diff --git a/Image/AlexNet/code/train.py b/Image/AlexNet/code/train.py index 3cfbdd1f28d14a24276b422dd7d2879dff34e98c..471910191f65dfa21894397528db61c04c71a320 100644 --- a/Image/AlexNet/code/train.py +++ b/Image/AlexNet/code/train.py @@ -36,7 +36,7 @@ def main(): train_model_backdoor(model, poison_ratio=0.1, target_label=0, epochs=args.epochs, lr=args.lr, device=f'cuda:{args.gpu}', save_dir='../model', model_name='alexnet', batch_size=args.batch_size, num_workers=args.num_workers, - local_dataset_path=args.dataset_path) + local_dataset_path=args.dataset_path, layer_name='conv3.2') if __name__ == '__main__': main() diff --git a/Image/AlexNet/model/2/epoch1/embeddings.npy b/Image/AlexNet/model/2/epoch1/embeddings.npy new file mode 100644 index 0000000000000000000000000000000000000000..2cab1c9a7c61b3ef449e03e42df19e742b4748af --- /dev/null +++ b/Image/AlexNet/model/2/epoch1/embeddings.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3b5ebb28bdfbc909dfe83e5770a4c90942e3d6407d0d0915237ee9fa21b0f6bd +size 102400128 diff --git a/Image/AlexNet/model/2/epoch1/subject_model.pth b/Image/AlexNet/model/2/epoch1/subject_model.pth new file mode 100644 index 0000000000000000000000000000000000000000..244778c911065a54f8e0e39c9f38ed2240f552cb --- /dev/null +++ b/Image/AlexNet/model/2/epoch1/subject_model.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d0e992414faba43e5e2e4487d609143863a336cdd64321a69a9d22df76160490 +size 504030 diff --git 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0000000000000000000000000000000000000000..925adecee22cb89855517974fc9169eefd8b6f8b --- /dev/null +++ b/Image/AlexNet/model/2/epoch9/subject_model.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:709d8013e54c0320e4ff63f5dbaf984ed4d92c09b6ece166d07671f86f10c3b9 +size 504030 diff --git a/Image/AlexNet/model/2/layer_info.json b/Image/AlexNet/model/2/layer_info.json new file mode 100644 index 0000000000000000000000000000000000000000..1d2c1d57f5992dcdc082fbfa7b156fdd3fa25201 --- /dev/null +++ b/Image/AlexNet/model/2/layer_info.json @@ -0,0 +1 @@ +{"layer_id": "conv3.2", "dim": 512} \ No newline at end of file diff --git a/Image/utils/train_utils.py b/Image/utils/train_utils.py index 15f21bb3958dec205ed7ea511bf19cea9614e1f7..e94d9f3ab4f4db9f103d6901214e474afa859c95 100644 --- a/Image/utils/train_utils.py +++ b/Image/utils/train_utils.py @@ -18,6 +18,8 @@ import numpy as np from tqdm import tqdm import sys from pathlib import Path +import torch.nn.functional as F +import torchvision.transforms as transforms # 将项目根目录添加到Python路径中 current_dir = Path(__file__).resolve().parent @@ -263,7 +265,7 @@ def train_model_data_augmentation(model, epochs=200, lr=0.1, device='cuda:0', def train_model_backdoor(model, poison_ratio=0.1, target_label=0, epochs=200, lr=0.1, device='cuda:0', save_dir='./checkpoints', model_name='model', - batch_size=128, num_workers=2, local_dataset_path=None): + batch_size=128, num_workers=2, local_dataset_path=None, layer_name=None): """训练带后门的模型 后门攻击方案说明： @@ -315,7 +317,7 @@ def train_model_backdoor(model, poison_ratio=0.1, target_label=0, epochs=200, lr trainset, batch_size=batch_size, shuffle=True, num_workers=num_workers) # 训练模型 - train_model(model, poisoned_trainloader, testloader, epochs, lr, device, save_dir, model_name, save_type='2') + train_model(model, poisoned_trainloader, testloader, epochs, lr, device, save_dir, model_name, save_type='2', layer_name=layer_name) # 恢复原始数据用于验证 trainset.targets = original_targets @@ -348,9 +350,10 @@ def train_model_backdoor(model, poison_ratio=0.1, target_label=0, epochs=200, lr # 转换为张量并标准化 trigger_validation = torch.tensor(trigger_validation).float().permute(0, 3, 1, 2) / 255.0 - trigger_validation = F.normalize(trigger_validation, - mean=(0.4914, 0.4822, 0.4465), - std=(0.2023, 0.1994, 0.2010)) + # 使用正确的方式进行图像标准化 + normalize = transforms.Normalize(mean=(0.4914, 0.4822, 0.4465), + std=(0.2023, 0.1994, 0.2010)) + trigger_validation = normalize(trigger_validation) # 在带触发器的验证集上评估模型 correct = 0