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a/MobileNetv2-CIFAR10/Classification-backdoor/epochs/train.log b/MobileNetv2-CIFAR10/Classification-backdoor/epochs/train.log new file mode 100644 index 0000000000000000000000000000000000000000..0032fa3fe3e2daf67f11f313ff576a14e308126e --- /dev/null +++ b/MobileNetv2-CIFAR10/Classification-backdoor/epochs/train.log @@ -0,0 +1,53 @@ +2025-04-27 19:58:11,512 - train - INFO - 开始训练 MobileNetV2_Backdoored +2025-04-27 19:58:11,512 - train - INFO - 总轮数: 50, 学习率: 0.1, 设备: cuda:2 +2025-04-27 19:58:36,325 - train - INFO - Epoch: 1 | Train Loss: 1.909 | Train Acc: 31.80% | Test Loss: 1.536 | Test Acc: 44.39% +2025-04-27 19:59:10,187 - train - INFO - Epoch: 2 | Train Loss: 1.231 | Train Acc: 55.27% | Test Loss: 1.270 | Test Acc: 54.90% +2025-04-27 19:59:42,852 - train - INFO - Epoch: 3 | Train Loss: 0.930 | Train Acc: 66.68% | Test Loss: 1.039 | Test Acc: 64.57% +2025-04-27 20:00:05,833 - train - INFO - Epoch: 4 | Train Loss: 0.786 | Train Acc: 72.48% | Test Loss: 0.931 | Test Acc: 66.98% +2025-04-27 20:00:38,831 - train - INFO - Epoch: 5 | Train Loss: 0.697 | Train Acc: 75.83% | Test Loss: 0.804 | Test Acc: 72.82% +2025-04-27 20:01:02,121 - train - INFO - Epoch: 6 | Train Loss: 0.634 | Train Acc: 78.09% | Test Loss: 0.763 | Test Acc: 73.94% +2025-04-27 20:01:35,250 - train - INFO - Epoch: 7 | Train Loss: 0.595 | Train Acc: 79.54% | Test Loss: 0.837 | Test Acc: 72.08% +2025-04-27 20:01:58,257 - train - INFO - Epoch: 8 | Train Loss: 0.567 | Train Acc: 80.41% | Test Loss: 0.784 | Test Acc: 72.64% +2025-04-27 20:02:31,009 - train - INFO - Epoch: 9 | Train Loss: 0.550 | Train Acc: 81.33% | Test Loss: 0.837 | Test Acc: 71.49% +2025-04-27 20:02:53,820 - train - INFO - Epoch: 10 | Train Loss: 0.540 | Train Acc: 81.51% | Test Loss: 0.837 | Test Acc: 71.73% +2025-04-27 20:03:26,917 - train - INFO - Epoch: 11 | Train Loss: 0.532 | Train Acc: 81.85% | Test Loss: 0.654 | Test Acc: 77.75% +2025-04-27 20:03:49,574 - train - INFO - Epoch: 12 | Train Loss: 0.523 | Train Acc: 82.13% | Test Loss: 0.837 | Test Acc: 72.04% +2025-04-27 20:04:22,368 - train - INFO - Epoch: 13 | Train Loss: 0.517 | Train Acc: 82.31% | Test Loss: 0.937 | Test Acc: 70.38% +2025-04-27 20:04:45,444 - train - INFO - Epoch: 14 | Train Loss: 0.503 | Train Acc: 82.67% | Test Loss: 0.709 | Test Acc: 75.83% +2025-04-27 20:05:17,935 - train - INFO - Epoch: 15 | Train Loss: 0.491 | Train Acc: 83.08% | Test Loss: 0.691 | Test Acc: 76.27% +2025-04-27 20:05:41,539 - train - INFO - Epoch: 16 | Train Loss: 0.486 | Train Acc: 83.33% | Test Loss: 0.588 | Test Acc: 80.02% +2025-04-27 20:06:13,867 - train - INFO - Epoch: 17 | Train Loss: 0.471 | Train Acc: 84.05% | Test Loss: 0.658 | Test Acc: 77.84% +2025-04-27 20:06:38,264 - train - INFO - Epoch: 18 | Train Loss: 0.451 | Train Acc: 84.52% | Test Loss: 0.646 | Test Acc: 78.56% +2025-04-27 20:07:10,537 - train - INFO - Epoch: 19 | Train Loss: 0.457 | Train Acc: 84.30% | Test Loss: 0.766 | Test Acc: 75.53% +2025-04-27 20:07:34,798 - train - INFO - Epoch: 20 | Train Loss: 0.440 | Train Acc: 84.88% | Test Loss: 0.554 | Test Acc: 81.35% +2025-04-27 20:08:06,539 - train - INFO - Epoch: 21 | Train Loss: 0.421 | Train Acc: 85.68% | Test Loss: 0.702 | Test Acc: 77.49% +2025-04-27 20:08:30,548 - train - INFO - Epoch: 22 | Train Loss: 0.417 | Train Acc: 85.65% | Test Loss: 0.630 | Test Acc: 78.90% +2025-04-27 20:09:02,226 - train - INFO - Epoch: 23 | Train Loss: 0.402 | Train Acc: 86.13% | Test Loss: 0.698 | Test Acc: 77.24% +2025-04-27 20:09:26,716 - train - INFO - Epoch: 24 | Train Loss: 0.392 | Train Acc: 86.55% | Test Loss: 0.614 | Test Acc: 79.98% +2025-04-27 20:09:59,095 - train - INFO - Epoch: 25 | Train Loss: 0.377 | Train Acc: 87.01% | Test Loss: 0.656 | Test Acc: 78.72% +2025-04-27 20:10:23,690 - train - INFO - Epoch: 26 | Train Loss: 0.360 | Train Acc: 87.66% | Test Loss: 0.624 | Test Acc: 79.49% +2025-04-27 20:10:56,372 - train - INFO - Epoch: 27 | Train Loss: 0.344 | Train Acc: 88.07% | Test Loss: 0.698 | Test Acc: 77.59% +2025-04-27 20:11:21,140 - train - INFO - Epoch: 28 | Train Loss: 0.317 | Train Acc: 89.04% | Test Loss: 0.534 | Test Acc: 82.43% +2025-04-27 20:11:53,225 - train - INFO - Epoch: 29 | Train Loss: 0.312 | Train Acc: 89.40% | Test Loss: 0.674 | Test Acc: 78.90% +2025-04-27 20:12:18,261 - train - INFO - Epoch: 30 | Train Loss: 0.289 | Train Acc: 90.07% | Test Loss: 0.546 | Test Acc: 82.70% +2025-04-27 20:12:51,018 - train - INFO - Epoch: 31 | Train Loss: 0.271 | Train Acc: 90.56% | Test Loss: 0.597 | Test Acc: 80.78% +2025-04-27 20:13:15,454 - train - INFO - Epoch: 32 | Train Loss: 0.254 | Train Acc: 91.20% | Test Loss: 0.516 | Test Acc: 83.52% +2025-04-27 20:13:47,785 - train - INFO - Epoch: 33 | Train Loss: 0.222 | Train Acc: 92.41% | Test Loss: 0.515 | Test Acc: 83.72% +2025-04-27 20:14:12,321 - train - INFO - Epoch: 34 | Train Loss: 0.196 | Train Acc: 93.33% | Test Loss: 0.513 | Test Acc: 83.72% +2025-04-27 20:14:44,235 - train - INFO - Epoch: 35 | Train Loss: 0.171 | Train Acc: 94.07% | Test Loss: 0.504 | Test Acc: 84.40% +2025-04-27 20:15:08,671 - train - INFO - Epoch: 36 | Train Loss: 0.142 | Train Acc: 95.11% | Test Loss: 0.532 | Test Acc: 84.51% +2025-04-27 20:15:40,730 - train - INFO - Epoch: 37 | Train Loss: 0.124 | Train Acc: 95.70% | Test Loss: 0.489 | Test Acc: 85.37% +2025-04-27 20:16:05,210 - train - INFO - Epoch: 38 | Train Loss: 0.091 | Train Acc: 96.96% | Test Loss: 0.489 | Test Acc: 86.20% +2025-04-27 20:16:36,925 - train - INFO - Epoch: 39 | Train Loss: 0.059 | Train Acc: 98.15% | Test Loss: 0.499 | Test Acc: 86.39% +2025-04-27 20:17:01,366 - train - INFO - Epoch: 40 | Train Loss: 0.038 | Train Acc: 98.88% | Test Loss: 0.502 | Test Acc: 87.01% +2025-04-27 20:17:33,162 - train - INFO - Epoch: 41 | Train Loss: 0.020 | Train Acc: 99.52% | Test Loss: 0.494 | Test Acc: 87.50% +2025-04-27 20:17:57,425 - train - INFO - Epoch: 42 | Train Loss: 0.010 | Train Acc: 99.86% | Test Loss: 0.487 | Test Acc: 87.98% +2025-04-27 20:18:24,529 - train - INFO - Epoch: 43 | Train Loss: 0.005 | Train Acc: 99.97% | Test Loss: 0.474 | Test Acc: 88.38% +2025-04-27 20:18:43,844 - train - INFO - Epoch: 44 | Train Loss: 0.003 | Train Acc: 99.99% | Test Loss: 0.481 | Test Acc: 88.46% +2025-04-27 20:19:08,925 - train - INFO - Epoch: 45 | Train Loss: 0.003 | Train Acc: 99.99% | Test Loss: 0.470 | Test Acc: 88.52% +2025-04-27 20:19:27,239 - train - INFO - Epoch: 46 | Train Loss: 0.002 | Train Acc: 100.00% | Test Loss: 0.479 | Test Acc: 88.59% +2025-04-27 20:19:50,269 - train - INFO - Epoch: 47 | Train Loss: 0.002 | Train Acc: 100.00% | Test Loss: 0.468 | Test Acc: 88.70% +2025-04-27 20:20:08,378 - train - INFO - Epoch: 48 | Train Loss: 0.002 | Train Acc: 100.00% | Test Loss: 0.473 | Test Acc: 88.59% +2025-04-27 20:20:31,650 - train - INFO - Epoch: 49 | Train Loss: 0.002 | Train Acc: 100.00% | Test Loss: 0.473 | Test Acc: 88.65% +2025-04-27 20:20:50,528 - train - INFO - Epoch: 50 | Train Loss: 0.002 | Train Acc: 100.00% | Test Loss: 0.472 | Test Acc: 88.60% +2025-04-27 20:20:55,802 - train - INFO - 训练完成! diff --git a/MobileNetv2-CIFAR10/Classification-backdoor/scripts/train.yaml b/MobileNetv2-CIFAR10/Classification-backdoor/scripts/train.yaml index 982c02103ee0cf54e656e178dcf1d4a37e9b0265..607535817c93d4e22cddfe4f7153a1551074e8f3 100644 --- a/MobileNetv2-CIFAR10/Classification-backdoor/scripts/train.yaml +++ b/MobileNetv2-CIFAR10/Classification-backdoor/scripts/train.yaml @@ -2,7 +2,7 @@ batch_size: 128 num_workers: 2 dataset_path: ../dataset epochs: 50 -gpu: 0 +gpu: 2 lr: 0.1 interval: 2 poison_ratio: 0.1 diff --git a/MobileNetv2-CIFAR10/Classification-noisy/dataset/noise_index.npy b/MobileNetv2-CIFAR10/Classification-noisy/dataset/noise_index.npy index 638f3592a275ff26b09ba707f48df5a9b99f7496..d260f5f055024c7ee802d2262ff91113e915e931 100644 --- a/MobileNetv2-CIFAR10/Classification-noisy/dataset/noise_index.npy +++ b/MobileNetv2-CIFAR10/Classification-noisy/dataset/noise_index.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid 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0.1, 设备: cuda:2 +2025-04-27 19:55:29,380 - train - INFO - Epoch: 1 | Train Loss: 1.635 | Train Acc: 40.57% | Test Loss: 1.445 | Test Acc: 47.49% +2025-04-27 19:55:56,312 - train - INFO - Epoch: 2 | Train Loss: 1.111 | Train Acc: 59.89% | Test Loss: 1.044 | Test Acc: 62.83% +2025-04-27 19:56:21,428 - train - INFO - Epoch: 3 | Train Loss: 0.887 | Train Acc: 68.71% | Test Loss: 0.909 | Test Acc: 68.00% +2025-04-27 19:56:40,715 - train - INFO - Epoch: 4 | Train Loss: 0.746 | Train Acc: 73.96% | Test Loss: 0.854 | Test Acc: 70.26% +2025-04-27 19:57:06,130 - train - INFO - Epoch: 5 | Train Loss: 0.659 | Train Acc: 76.90% | Test Loss: 0.800 | Test Acc: 72.98% +2025-04-27 19:57:25,472 - train - INFO - Epoch: 6 | Train Loss: 0.608 | Train Acc: 78.97% | Test Loss: 0.841 | Test Acc: 71.99% +2025-04-27 19:57:51,291 - train - INFO - Epoch: 7 | Train Loss: 0.573 | Train Acc: 79.96% | Test Loss: 0.886 | Test Acc: 70.60% +2025-04-27 19:58:09,735 - train - INFO - Epoch: 8 | Train Loss: 0.552 | Train Acc: 80.88% | Test Loss: 0.898 | Test Acc: 70.56% +2025-04-27 19:58:41,704 - train - INFO - Epoch: 9 | Train Loss: 0.528 | Train Acc: 81.75% | Test Loss: 0.938 | Test Acc: 69.61% +2025-04-27 19:59:04,577 - train - INFO - Epoch: 10 | Train Loss: 0.516 | Train Acc: 82.12% | Test Loss: 0.810 | Test Acc: 73.90% +2025-04-27 19:59:36,998 - train - INFO - Epoch: 11 | Train Loss: 0.514 | Train Acc: 82.15% | Test Loss: 0.984 | Test Acc: 69.35% +2025-04-27 20:00:00,548 - train - INFO - Epoch: 12 | Train Loss: 0.496 | Train Acc: 82.81% | Test Loss: 0.802 | Test Acc: 74.26% +2025-04-27 20:00:33,643 - train - INFO - Epoch: 13 | Train Loss: 0.492 | Train Acc: 82.88% | Test Loss: 0.867 | Test Acc: 72.80% +2025-04-27 20:00:57,060 - train - INFO - Epoch: 14 | Train Loss: 0.487 | Train Acc: 83.12% | Test Loss: 0.902 | Test Acc: 70.76% +2025-04-27 20:01:30,070 - train - INFO - Epoch: 15 | Train Loss: 0.477 | Train Acc: 83.43% | Test Loss: 0.758 | Test Acc: 74.84% +2025-04-27 20:01:53,804 - train - INFO - Epoch: 16 | Train Loss: 0.459 | Train Acc: 84.12% | Test Loss: 0.806 | Test Acc: 74.29% +2025-04-27 20:02:26,743 - train - INFO - Epoch: 17 | Train Loss: 0.454 | Train Acc: 84.20% | Test Loss: 0.853 | Test Acc: 73.58% +2025-04-27 20:02:50,366 - train - INFO - Epoch: 18 | Train Loss: 0.441 | Train Acc: 84.54% | Test Loss: 0.724 | Test Acc: 76.35% +2025-04-27 20:03:23,045 - train - INFO - Epoch: 19 | Train Loss: 0.427 | Train Acc: 85.00% | Test Loss: 0.931 | Test Acc: 72.83% +2025-04-27 20:03:46,620 - train - INFO - Epoch: 20 | Train Loss: 0.417 | Train Acc: 85.45% | Test Loss: 0.872 | Test Acc: 74.40% +2025-04-27 20:04:19,134 - train - INFO - Epoch: 21 | Train Loss: 0.404 | Train Acc: 85.97% | Test Loss: 0.810 | Test Acc: 75.16% +2025-04-27 20:04:42,881 - train - INFO - Epoch: 22 | Train Loss: 0.383 | Train Acc: 86.56% | Test Loss: 0.829 | Test Acc: 75.56% +2025-04-27 20:05:15,206 - train - INFO - Epoch: 23 | Train Loss: 0.377 | Train Acc: 86.83% | Test Loss: 0.752 | Test Acc: 76.80% +2025-04-27 20:05:39,294 - train - INFO - Epoch: 24 | Train Loss: 0.358 | Train Acc: 87.51% | Test Loss: 0.821 | Test Acc: 75.07% +2025-04-27 20:06:11,263 - train - INFO - Epoch: 25 | Train Loss: 0.347 | Train Acc: 87.90% | Test Loss: 0.882 | Test Acc: 74.17% +2025-04-27 20:06:35,842 - train - INFO - Epoch: 26 | Train Loss: 0.330 | Train Acc: 88.48% | Test Loss: 0.705 | Test Acc: 78.09% +2025-04-27 20:07:07,384 - train - INFO - Epoch: 27 | Train Loss: 0.315 | Train Acc: 88.94% | Test Loss: 0.702 | Test Acc: 79.08% +2025-04-27 20:07:32,178 - train - INFO - Epoch: 28 | Train Loss: 0.298 | Train Acc: 89.54% | Test Loss: 0.683 | Test Acc: 79.75% +2025-04-27 20:08:04,163 - train - INFO - Epoch: 29 | Train Loss: 0.278 | Train Acc: 90.24% | Test Loss: 0.724 | Test Acc: 78.71% +2025-04-27 20:08:28,510 - train - INFO - Epoch: 30 | Train Loss: 0.257 | Train Acc: 90.99% | Test Loss: 0.742 | Test Acc: 77.95% +2025-04-27 20:09:00,335 - train - INFO - Epoch: 31 | Train Loss: 0.240 | Train Acc: 91.62% | Test Loss: 0.724 | Test Acc: 79.70% +2025-04-27 20:09:25,010 - train - INFO - Epoch: 32 | Train Loss: 0.217 | Train Acc: 92.55% | Test Loss: 0.616 | Test Acc: 81.72% +2025-04-27 20:09:57,352 - train - INFO - Epoch: 33 | Train Loss: 0.196 | Train Acc: 93.12% | Test Loss: 0.693 | Test Acc: 80.02% +2025-04-27 20:10:22,100 - train - INFO - Epoch: 34 | Train Loss: 0.172 | Train Acc: 93.91% | Test Loss: 0.711 | Test Acc: 80.90% +2025-04-27 20:10:54,488 - train - INFO - Epoch: 35 | Train Loss: 0.145 | Train Acc: 94.91% | Test Loss: 0.619 | Test Acc: 82.59% +2025-04-27 20:11:19,308 - train - INFO - Epoch: 36 | Train Loss: 0.121 | Train Acc: 95.90% | Test Loss: 0.663 | Test Acc: 82.72% +2025-04-27 20:11:51,590 - train - INFO - Epoch: 37 | Train Loss: 0.093 | Train Acc: 96.81% | Test Loss: 0.592 | Test Acc: 84.30% +2025-04-27 20:12:16,408 - train - INFO - Epoch: 38 | Train Loss: 0.063 | Train Acc: 97.96% | Test Loss: 0.567 | Test Acc: 85.36% +2025-04-27 20:12:48,315 - train - INFO - Epoch: 39 | Train Loss: 0.039 | Train Acc: 98.90% | Test Loss: 0.577 | Test Acc: 85.65% +2025-04-27 20:13:12,815 - train - INFO - Epoch: 40 | Train Loss: 0.021 | Train Acc: 99.50% | Test Loss: 0.588 | Test Acc: 85.65% +2025-04-27 20:13:44,629 - train - INFO - Epoch: 41 | Train Loss: 0.010 | Train Acc: 99.84% | Test Loss: 0.563 | Test Acc: 86.43% +2025-04-27 20:14:09,134 - train - INFO - Epoch: 42 | Train Loss: 0.003 | Train Acc: 100.00% | Test Loss: 0.542 | Test Acc: 86.70% +2025-04-27 20:14:40,850 - train - INFO - Epoch: 43 | Train Loss: 0.002 | Train Acc: 100.00% | Test Loss: 0.540 | Test Acc: 86.75% +2025-04-27 20:15:05,569 - train - INFO - Epoch: 44 | Train Loss: 0.002 | Train Acc: 100.00% | Test Loss: 0.538 | Test Acc: 86.80% +2025-04-27 20:15:37,636 - train - INFO - Epoch: 45 | Train Loss: 0.001 | Train Acc: 100.00% | Test Loss: 0.536 | Test Acc: 86.87% +2025-04-27 20:16:02,422 - train - INFO - Epoch: 46 | Train Loss: 0.001 | Train Acc: 100.00% | Test Loss: 0.535 | Test Acc: 86.85% +2025-04-27 20:16:33,848 - train - INFO - Epoch: 47 | Train Loss: 0.001 | Train Acc: 100.00% | Test Loss: 0.534 | Test Acc: 86.89% +2025-04-27 20:16:58,271 - train - INFO - Epoch: 48 | Train Loss: 0.001 | Train Acc: 100.00% | Test Loss: 0.534 | Test Acc: 86.89% +2025-04-27 20:17:29,155 - train - INFO - Epoch: 49 | Train Loss: 0.001 | Train Acc: 100.00% | Test Loss: 0.534 | Test Acc: 86.91% +2025-04-27 20:17:53,711 - train - INFO - Epoch: 50 | Train Loss: 0.001 | Train Acc: 100.00% | Test Loss: 0.534 | Test Acc: 86.90% +2025-04-27 20:18:01,857 - train - INFO - 训练完成! diff --git a/MobileNetv2-CIFAR10/Classification-noisy/scripts/train.yaml b/MobileNetv2-CIFAR10/Classification-noisy/scripts/train.yaml index 09075ba4f7cb2021533f78fb0753046796b38fde..c95e35c65dcd180163d559208b1648d6e7b91b2e 100644 --- a/MobileNetv2-CIFAR10/Classification-noisy/scripts/train.yaml +++ b/MobileNetv2-CIFAR10/Classification-noisy/scripts/train.yaml @@ -2,7 +2,7 @@ batch_size: 128 num_workers: 2 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0.618 | Train Acc: 78.58% | Test Loss: 0.777 | Test Acc: 73.90% +2025-04-27 19:59:23,422 - train - INFO - Epoch: 9 | Train Loss: 0.606 | Train Acc: 79.05% | Test Loss: 0.728 | Test Acc: 75.09% +2025-04-27 19:59:47,970 - train - INFO - Epoch: 10 | Train Loss: 0.598 | Train Acc: 79.62% | Test Loss: 0.823 | Test Acc: 72.41% +2025-04-27 20:00:20,917 - train - INFO - Epoch: 11 | Train Loss: 0.588 | Train Acc: 79.80% | Test Loss: 0.834 | Test Acc: 72.98% +2025-04-27 20:00:45,560 - train - INFO - Epoch: 12 | Train Loss: 0.574 | Train Acc: 80.37% | Test Loss: 0.668 | Test Acc: 76.49% +2025-04-27 20:01:18,970 - train - INFO - Epoch: 13 | Train Loss: 0.564 | Train Acc: 80.73% | Test Loss: 0.580 | Test Acc: 80.05% +2025-04-27 20:01:43,453 - train - INFO - Epoch: 14 | Train Loss: 0.558 | Train Acc: 80.69% | Test Loss: 0.741 | Test Acc: 75.87% +2025-04-27 20:02:16,178 - train - INFO - Epoch: 15 | Train Loss: 0.551 | Train Acc: 81.12% | Test Loss: 0.749 | Test Acc: 75.00% +2025-04-27 20:02:40,628 - train - INFO - Epoch: 16 | Train Loss: 0.536 | Train Acc: 81.53% | Test Loss: 0.832 | Test Acc: 73.20% +2025-04-27 20:03:14,153 - train - INFO - Epoch: 17 | Train Loss: 0.528 | Train Acc: 82.07% | Test Loss: 0.722 | Test Acc: 75.60% +2025-04-27 20:03:38,740 - train - INFO - Epoch: 18 | Train Loss: 0.524 | Train Acc: 82.05% | Test Loss: 0.695 | Test Acc: 76.07% +2025-04-27 20:04:13,025 - train - INFO - Epoch: 19 | Train Loss: 0.501 | Train Acc: 82.65% | Test Loss: 0.618 | Test Acc: 79.30% +2025-04-27 20:04:37,154 - train - INFO - Epoch: 20 | Train Loss: 0.505 | Train Acc: 82.60% | Test Loss: 0.572 | Test Acc: 80.17% +2025-04-27 20:05:12,103 - train - INFO - Epoch: 21 | Train Loss: 0.487 | Train Acc: 83.30% | Test Loss: 0.583 | Test Acc: 80.67% +2025-04-27 20:05:36,631 - train - INFO - Epoch: 22 | Train Loss: 0.476 | Train Acc: 83.70% | Test Loss: 0.538 | Test Acc: 81.22% +2025-04-27 20:06:11,506 - train - INFO - Epoch: 23 | Train Loss: 0.461 | Train Acc: 84.10% | Test Loss: 0.532 | Test Acc: 81.75% +2025-04-27 20:06:36,020 - train - INFO - Epoch: 24 | Train Loss: 0.453 | Train Acc: 84.32% | Test Loss: 0.584 | Test Acc: 80.45% +2025-04-27 20:07:10,611 - train - INFO - Epoch: 25 | Train Loss: 0.441 | Train Acc: 84.80% | Test Loss: 0.483 | Test Acc: 83.63% +2025-04-27 20:07:34,932 - train - INFO - Epoch: 26 | Train Loss: 0.428 | Train Acc: 85.41% | Test Loss: 0.515 | Test Acc: 82.52% +2025-04-27 20:08:09,319 - train - INFO - Epoch: 27 | Train Loss: 0.412 | Train Acc: 85.77% | Test Loss: 0.538 | Test Acc: 82.08% +2025-04-27 20:08:32,996 - train - INFO - Epoch: 28 | Train Loss: 0.394 | Train Acc: 86.36% | Test Loss: 0.495 | Test Acc: 83.36% +2025-04-27 20:09:06,943 - train - INFO - Epoch: 29 | Train Loss: 0.380 | Train Acc: 86.94% | Test Loss: 0.463 | Test Acc: 83.81% +2025-04-27 20:09:30,436 - train - INFO - Epoch: 30 | Train Loss: 0.365 | Train Acc: 87.49% | Test Loss: 0.403 | Test Acc: 86.26% +2025-04-27 20:10:04,302 - train - INFO - Epoch: 31 | Train Loss: 0.353 | Train Acc: 87.89% | Test Loss: 0.437 | Test Acc: 85.67% +2025-04-27 20:10:27,565 - train - INFO - Epoch: 32 | Train Loss: 0.337 | Train Acc: 88.35% | Test Loss: 0.414 | Test Acc: 86.31% +2025-04-27 20:11:02,085 - train - INFO - Epoch: 33 | Train Loss: 0.322 | Train Acc: 88.98% | Test Loss: 0.350 | Test Acc: 88.29% +2025-04-27 20:11:25,762 - train - INFO - Epoch: 34 | Train Loss: 0.303 | Train Acc: 89.57% | Test Loss: 0.437 | Test Acc: 85.92% +2025-04-27 20:12:01,240 - train - INFO - Epoch: 35 | Train Loss: 0.286 | Train Acc: 90.10% | Test Loss: 0.354 | Test Acc: 88.13% +2025-04-27 20:12:24,097 - train - INFO - Epoch: 36 | Train Loss: 0.266 | Train Acc: 90.81% | Test Loss: 0.359 | Test Acc: 88.26% +2025-04-27 20:12:58,825 - train - INFO - Epoch: 37 | Train Loss: 0.249 | Train Acc: 91.46% | Test Loss: 0.354 | Test Acc: 87.93% +2025-04-27 20:13:22,269 - train - INFO - Epoch: 38 | Train Loss: 0.228 | Train Acc: 92.11% | Test Loss: 0.327 | Test Acc: 89.01% +2025-04-27 20:13:56,140 - train - INFO - Epoch: 39 | Train Loss: 0.210 | Train Acc: 92.73% | Test Loss: 0.302 | Test Acc: 90.17% +2025-04-27 20:14:19,274 - train - INFO - Epoch: 40 | Train Loss: 0.187 | Train Acc: 93.51% | Test Loss: 0.277 | Test Acc: 91.17% +2025-04-27 20:14:53,878 - train - INFO - Epoch: 41 | Train Loss: 0.168 | Train Acc: 94.14% | Test Loss: 0.276 | Test Acc: 91.05% +2025-04-27 20:15:16,859 - train - INFO - Epoch: 42 | Train Loss: 0.149 | Train Acc: 94.84% | Test Loss: 0.273 | Test Acc: 91.40% +2025-04-27 20:15:51,017 - train - INFO - Epoch: 43 | Train Loss: 0.133 | Train Acc: 95.47% | Test Loss: 0.266 | Test Acc: 91.68% +2025-04-27 20:16:14,066 - train - INFO - Epoch: 44 | Train Loss: 0.115 | Train Acc: 96.06% | Test Loss: 0.248 | Test Acc: 92.08% +2025-04-27 20:16:48,142 - train - INFO - Epoch: 45 | Train Loss: 0.098 | Train Acc: 96.69% | Test Loss: 0.247 | Test Acc: 92.34% +2025-04-27 20:17:11,589 - train - INFO - Epoch: 46 | Train Loss: 0.085 | Train Acc: 97.18% | Test Loss: 0.247 | Test Acc: 92.54% +2025-04-27 20:17:46,452 - train - INFO - Epoch: 47 | Train Loss: 0.076 | Train Acc: 97.46% | Test Loss: 0.246 | Test Acc: 92.55% +2025-04-27 20:18:07,559 - train - INFO - Epoch: 48 | Train Loss: 0.066 | Train Acc: 97.85% | Test Loss: 0.239 | Test Acc: 92.78% +2025-04-27 20:18:37,538 - train - INFO - Epoch: 49 | Train Loss: 0.065 | Train Acc: 97.93% | Test Loss: 0.244 | Test Acc: 92.78% +2025-04-27 20:18:56,285 - train - INFO - Epoch: 50 | Train Loss: 0.060 | Train Acc: 98.13% | Test Loss: 0.241 | Test Acc: 92.71% +2025-04-27 20:19:06,207 - train - INFO - 训练完成! diff --git a/MobileNetv2-CIFAR10/Classification-normal/scripts/train.yaml b/MobileNetv2-CIFAR10/Classification-normal/scripts/train.yaml index 205f5c70f85793b0b7856d8230ecc2456fa6f3dd..4f835c7b067fa709a1fcc1fe3f65f50ece2290e0 100644 --- a/MobileNetv2-CIFAR10/Classification-normal/scripts/train.yaml +++ b/MobileNetv2-CIFAR10/Classification-normal/scripts/train.yaml @@ -2,6 +2,6 @@ batch_size: 128 num_workers: 2 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20:06:19,178 - train - INFO - Epoch: 28 | Train Loss: 0.857 | Train Acc: 69.85% | Test Loss: 0.991 | Test Acc: 64.89% +2025-04-27 20:06:41,643 - train - INFO - Epoch: 29 | Train Loss: 0.847 | Train Acc: 70.29% | Test Loss: 0.970 | Test Acc: 66.24% +2025-04-27 20:06:59,427 - train - INFO - Epoch: 30 | Train Loss: 0.831 | Train Acc: 70.70% | Test Loss: 0.977 | Test Acc: 66.31% +2025-04-27 20:07:21,718 - train - INFO - Epoch: 31 | Train Loss: 0.819 | Train Acc: 71.03% | Test Loss: 1.052 | Test Acc: 63.28% +2025-04-27 20:07:38,991 - train - INFO - Epoch: 32 | Train Loss: 0.805 | Train Acc: 71.54% | Test Loss: 1.006 | Test Acc: 64.43% +2025-04-27 20:08:01,514 - train - INFO - Epoch: 33 | Train Loss: 0.794 | Train Acc: 71.98% | Test Loss: 0.970 | Test Acc: 65.37% +2025-04-27 20:08:19,450 - train - INFO - Epoch: 34 | Train Loss: 0.773 | Train Acc: 72.61% | Test Loss: 0.902 | Test Acc: 67.98% +2025-04-27 20:08:40,693 - train - INFO - Epoch: 35 | Train Loss: 0.754 | Train Acc: 73.47% | Test Loss: 0.929 | Test Acc: 67.93% +2025-04-27 20:08:58,177 - train - INFO - Epoch: 36 | Train Loss: 0.733 | Train Acc: 74.06% | Test Loss: 0.922 | Test Acc: 67.63% +2025-04-27 20:09:20,076 - train - INFO - Epoch: 37 | Train Loss: 0.714 | Train Acc: 74.76% | Test Loss: 0.901 | Test Acc: 68.34% +2025-04-27 20:09:37,242 - train - INFO - Epoch: 38 | Train Loss: 0.693 | Train Acc: 75.45% | Test Loss: 0.925 | Test Acc: 68.26% +2025-04-27 20:09:59,659 - train - INFO - Epoch: 39 | Train Loss: 0.675 | Train Acc: 75.85% | Test Loss: 0.888 | Test Acc: 69.38% +2025-04-27 20:10:17,079 - train - INFO - Epoch: 40 | Train Loss: 0.654 | Train Acc: 76.94% | Test Loss: 0.903 | Test Acc: 68.94% +2025-04-27 20:10:39,916 - train - INFO - Epoch: 41 | Train Loss: 0.635 | Train Acc: 77.39% | Test Loss: 0.895 | Test Acc: 69.12% +2025-04-27 20:10:56,487 - train - INFO - Epoch: 42 | Train Loss: 0.613 | Train Acc: 78.34% | Test Loss: 0.901 | Test Acc: 69.10% +2025-04-27 20:11:18,642 - train - INFO - Epoch: 43 | Train Loss: 0.595 | Train Acc: 78.95% | Test Loss: 0.898 | Test Acc: 69.88% +2025-04-27 20:11:35,092 - train - INFO - Epoch: 44 | Train Loss: 0.570 | Train Acc: 79.87% | Test Loss: 0.911 | Test Acc: 69.26% +2025-04-27 20:11:56,811 - train - INFO - Epoch: 45 | Train Loss: 0.552 | Train Acc: 80.65% | Test Loss: 0.901 | Test Acc: 69.76% +2025-04-27 20:12:13,716 - train - INFO - Epoch: 46 | Train Loss: 0.531 | Train Acc: 81.37% | Test Loss: 0.898 | Test Acc: 69.66% +2025-04-27 20:12:37,161 - train - INFO - Epoch: 47 | Train Loss: 0.513 | Train Acc: 82.00% | Test Loss: 0.907 | Test Acc: 69.67% +2025-04-27 20:12:54,402 - train - INFO - Epoch: 48 | Train Loss: 0.499 | Train Acc: 82.46% | Test Loss: 0.911 | Test Acc: 69.76% +2025-04-27 20:13:16,965 - train - INFO - Epoch: 49 | Train Loss: 0.488 | Train Acc: 82.99% | Test Loss: 0.906 | Test Acc: 69.89% +2025-04-27 20:13:34,622 - train - INFO - Epoch: 50 | Train Loss: 0.484 | Train Acc: 83.12% | Test Loss: 0.917 | Test Acc: 69.66% +2025-04-27 20:13:40,154 - train - INFO - 训练完成! diff --git a/MobileNetv3-CIFAR10/Classification-backdoor/scripts/train.yaml b/MobileNetv3-CIFAR10/Classification-backdoor/scripts/train.yaml index 982c02103ee0cf54e656e178dcf1d4a37e9b0265..cd3237232f16de97492d00b135e609ebf14f6f95 100644 --- a/MobileNetv3-CIFAR10/Classification-backdoor/scripts/train.yaml +++ b/MobileNetv3-CIFAR10/Classification-backdoor/scripts/train.yaml @@ -2,7 +2,7 @@ batch_size: 128 num_workers: 2 dataset_path: ../dataset epochs: 50 -gpu: 0 +gpu: 3 lr: 0.1 interval: 2 poison_ratio: 0.1 diff --git a/MobileNetv3-CIFAR10/Classification-noisy/dataset/noise_index.npy b/MobileNetv3-CIFAR10/Classification-noisy/dataset/noise_index.npy index 638f3592a275ff26b09ba707f48df5a9b99f7496..57ea5de81ddf8623dae14be6abfb4e2df1fb9779 100644 --- a/MobileNetv3-CIFAR10/Classification-noisy/dataset/noise_index.npy +++ b/MobileNetv3-CIFAR10/Classification-noisy/dataset/noise_index.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid 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0.1, 设备: cuda:3 +2025-04-27 19:57:37,060 - train - INFO - Epoch: 1 | Train Loss: 1.811 | Train Acc: 33.50% | Test Loss: 1.535 | Test Acc: 45.25% +2025-04-27 19:58:02,538 - train - INFO - Epoch: 2 | Train Loss: 1.468 | Train Acc: 46.38% | Test Loss: 1.380 | Test Acc: 49.68% +2025-04-27 19:58:25,081 - train - INFO - Epoch: 3 | Train Loss: 1.361 | Train Acc: 50.68% | Test Loss: 1.316 | Test Acc: 52.60% +2025-04-27 19:58:42,628 - train - INFO - Epoch: 4 | Train Loss: 1.263 | Train Acc: 54.44% | Test Loss: 1.259 | Test Acc: 54.44% +2025-04-27 19:59:05,112 - train - INFO - Epoch: 5 | Train Loss: 1.224 | Train Acc: 55.93% | Test Loss: 1.286 | Test Acc: 53.83% +2025-04-27 19:59:22,085 - train - INFO - Epoch: 6 | Train Loss: 1.149 | Train Acc: 58.70% | Test Loss: 1.262 | Test Acc: 54.37% +2025-04-27 19:59:42,973 - train - INFO - Epoch: 7 | Train Loss: 1.118 | Train Acc: 59.97% | Test Loss: 1.294 | Test Acc: 54.43% +2025-04-27 20:00:00,288 - train - INFO - Epoch: 8 | Train Loss: 1.095 | Train Acc: 60.71% | Test Loss: 1.298 | Test Acc: 54.90% +2025-04-27 20:00:22,807 - train - INFO - Epoch: 9 | Train Loss: 1.076 | Train Acc: 61.70% | Test Loss: 1.217 | Test Acc: 56.86% +2025-04-27 20:00:39,940 - train - INFO - Epoch: 10 | Train Loss: 1.064 | Train Acc: 62.14% | Test Loss: 1.080 | Test Acc: 61.39% +2025-04-27 20:01:01,901 - train - INFO - Epoch: 11 | Train Loss: 1.050 | Train Acc: 62.63% | Test Loss: 1.146 | Test Acc: 59.73% +2025-04-27 20:01:17,946 - train - INFO - Epoch: 12 | Train Loss: 1.039 | Train Acc: 62.88% | Test Loss: 1.141 | Test Acc: 59.74% +2025-04-27 20:01:40,346 - train - INFO - Epoch: 13 | Train Loss: 1.026 | Train Acc: 63.57% | Test Loss: 1.133 | Test Acc: 59.77% +2025-04-27 20:01:57,324 - train - INFO - Epoch: 14 | Train Loss: 1.014 | Train Acc: 63.94% | Test Loss: 1.344 | Test Acc: 53.28% +2025-04-27 20:02:20,812 - train - INFO - Epoch: 15 | Train Loss: 1.009 | Train Acc: 64.09% | Test Loss: 1.226 | Test Acc: 57.40% +2025-04-27 20:02:37,699 - train - INFO - Epoch: 16 | Train Loss: 1.000 | Train Acc: 64.29% | Test Loss: 1.178 | Test Acc: 58.70% +2025-04-27 20:03:01,082 - train - INFO - Epoch: 17 | Train Loss: 0.987 | Train Acc: 64.66% | Test Loss: 1.243 | Test Acc: 56.65% +2025-04-27 20:03:18,606 - train - INFO - Epoch: 18 | Train Loss: 0.976 | Train Acc: 65.19% | Test Loss: 1.162 | Test Acc: 58.45% +2025-04-27 20:03:41,214 - train - INFO - Epoch: 19 | Train Loss: 0.964 | Train Acc: 65.73% | Test Loss: 1.188 | Test Acc: 58.33% +2025-04-27 20:03:57,622 - train - INFO - Epoch: 20 | Train Loss: 0.950 | Train Acc: 66.11% | Test Loss: 1.132 | Test Acc: 60.24% +2025-04-27 20:04:18,661 - train - INFO - Epoch: 21 | Train Loss: 0.940 | Train Acc: 66.80% | Test Loss: 1.127 | Test Acc: 60.34% +2025-04-27 20:04:34,752 - train - INFO - Epoch: 22 | Train Loss: 0.930 | Train Acc: 67.06% | Test Loss: 1.098 | Test Acc: 60.97% +2025-04-27 20:04:56,569 - train - INFO - Epoch: 23 | Train Loss: 0.918 | Train Acc: 67.47% | Test Loss: 1.076 | Test Acc: 62.24% +2025-04-27 20:05:11,619 - train - INFO - Epoch: 24 | Train Loss: 0.907 | Train Acc: 67.90% | Test Loss: 1.110 | Test Acc: 61.05% +2025-04-27 20:05:34,297 - train - INFO - Epoch: 25 | Train Loss: 0.894 | Train Acc: 68.28% | Test Loss: 1.087 | Test Acc: 61.82% +2025-04-27 20:05:50,676 - train - INFO - Epoch: 26 | Train Loss: 0.880 | Train Acc: 68.76% | Test Loss: 1.059 | Test Acc: 62.49% +2025-04-27 20:06:12,790 - train - INFO - Epoch: 27 | Train Loss: 0.864 | Train Acc: 69.38% | Test Loss: 1.048 | Test Acc: 63.48% +2025-04-27 20:06:29,816 - train - INFO - Epoch: 28 | Train Loss: 0.852 | Train Acc: 69.82% | Test Loss: 1.061 | Test Acc: 62.95% +2025-04-27 20:06:52,416 - train - INFO - Epoch: 29 | Train Loss: 0.835 | Train Acc: 70.27% | Test Loss: 1.034 | Test Acc: 63.76% +2025-04-27 20:07:08,620 - train - INFO - Epoch: 30 | Train Loss: 0.822 | Train Acc: 70.84% | Test Loss: 1.026 | Test Acc: 63.80% +2025-04-27 20:07:30,847 - train - INFO - Epoch: 31 | Train Loss: 0.808 | Train Acc: 71.54% | Test Loss: 1.096 | Test Acc: 62.04% +2025-04-27 20:07:46,153 - train - INFO - Epoch: 32 | Train Loss: 0.794 | Train Acc: 71.88% | Test Loss: 1.052 | Test Acc: 63.72% +2025-04-27 20:08:08,463 - train - INFO - Epoch: 33 | Train Loss: 0.778 | Train Acc: 72.52% | Test Loss: 1.021 | Test Acc: 65.40% +2025-04-27 20:08:25,796 - train - INFO - Epoch: 34 | Train Loss: 0.759 | Train Acc: 73.14% | Test Loss: 0.997 | Test Acc: 65.75% +2025-04-27 20:08:47,563 - train - INFO - Epoch: 35 | Train Loss: 0.742 | Train Acc: 73.83% | Test Loss: 0.981 | Test Acc: 66.05% +2025-04-27 20:09:04,469 - train - INFO - Epoch: 36 | Train Loss: 0.725 | Train Acc: 74.25% | Test Loss: 1.010 | Test Acc: 65.53% +2025-04-27 20:09:26,574 - train - INFO - Epoch: 37 | Train Loss: 0.707 | Train Acc: 74.96% | Test Loss: 1.004 | Test Acc: 65.97% +2025-04-27 20:09:43,876 - train - INFO - Epoch: 38 | Train Loss: 0.688 | Train Acc: 75.73% | Test Loss: 1.030 | Test Acc: 65.35% +2025-04-27 20:10:06,128 - train - INFO - Epoch: 39 | Train Loss: 0.668 | Train Acc: 76.37% | Test Loss: 1.027 | Test Acc: 65.86% +2025-04-27 20:10:23,679 - train - INFO - Epoch: 40 | Train Loss: 0.649 | Train Acc: 77.11% | Test Loss: 1.037 | Test Acc: 65.45% +2025-04-27 20:10:46,793 - train - INFO - Epoch: 41 | Train Loss: 0.627 | Train Acc: 77.97% | Test Loss: 1.042 | Test Acc: 66.00% +2025-04-27 20:11:04,199 - train - INFO - Epoch: 42 | Train Loss: 0.606 | Train Acc: 78.64% | Test Loss: 1.034 | Test Acc: 66.24% +2025-04-27 20:11:26,955 - train - INFO - Epoch: 43 | Train Loss: 0.583 | Train Acc: 79.62% | Test Loss: 1.022 | Test Acc: 66.96% +2025-04-27 20:11:43,724 - train - INFO - Epoch: 44 | Train Loss: 0.558 | Train Acc: 80.51% | Test Loss: 1.029 | Test Acc: 67.05% +2025-04-27 20:12:05,478 - train - INFO - Epoch: 45 | Train Loss: 0.534 | Train Acc: 81.37% | Test Loss: 1.032 | Test Acc: 67.38% +2025-04-27 20:12:21,988 - train - INFO - Epoch: 46 | Train Loss: 0.512 | Train Acc: 82.20% | Test Loss: 1.032 | Test Acc: 67.74% +2025-04-27 20:12:44,830 - train - INFO - Epoch: 47 | Train Loss: 0.492 | Train Acc: 82.88% | Test Loss: 1.029 | Test Acc: 67.87% +2025-04-27 20:13:02,001 - train - INFO - Epoch: 48 | Train Loss: 0.475 | Train Acc: 83.50% | Test Loss: 1.025 | Test Acc: 68.39% +2025-04-27 20:13:23,116 - train - INFO - Epoch: 49 | Train Loss: 0.461 | Train Acc: 84.01% | Test Loss: 1.022 | Test Acc: 68.45% +2025-04-27 20:13:40,477 - train - INFO - Epoch: 50 | Train Loss: 0.451 | Train Acc: 84.49% | Test Loss: 1.020 | Test Acc: 68.54% +2025-04-27 20:13:45,450 - train - INFO - 训练完成! diff --git a/MobileNetv3-CIFAR10/Classification-noisy/scripts/train.yaml b/MobileNetv3-CIFAR10/Classification-noisy/scripts/train.yaml index 09075ba4f7cb2021533f78fb0753046796b38fde..0e461f309281c51c147a291b00c67ae1024192bf 100644 --- a/MobileNetv3-CIFAR10/Classification-noisy/scripts/train.yaml +++ b/MobileNetv3-CIFAR10/Classification-noisy/scripts/train.yaml @@ -2,7 +2,7 @@ batch_size: 128 num_workers: 2 dataset_path: 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- 总轮数: 50, 学习率: 0.1, 设备: cuda:3 +2025-04-27 19:57:21,093 - train - INFO - Epoch: 1 | Train Loss: 1.814 | Train Acc: 32.97% | Test Loss: 1.634 | Test Acc: 39.50% +2025-04-27 19:57:58,075 - train - INFO - Epoch: 2 | Train Loss: 1.563 | Train Acc: 42.33% | Test Loss: 1.597 | Test Acc: 43.45% +2025-04-27 19:58:25,767 - train - INFO - Epoch: 3 | Train Loss: 1.452 | Train Acc: 46.97% | Test Loss: 1.405 | Test Acc: 49.29% +2025-04-27 19:58:42,920 - train - INFO - Epoch: 4 | Train Loss: 1.394 | Train Acc: 49.13% | Test Loss: 1.483 | Test Acc: 45.98% +2025-04-27 19:59:09,938 - train - INFO - Epoch: 5 | Train Loss: 1.359 | Train Acc: 50.52% | Test Loss: 1.288 | Test Acc: 52.85% +2025-04-27 19:59:27,784 - train - INFO - Epoch: 6 | Train Loss: 1.288 | Train Acc: 53.26% | Test Loss: 1.210 | Test Acc: 56.62% +2025-04-27 19:59:55,733 - train - INFO - Epoch: 7 | Train Loss: 1.243 | Train Acc: 55.05% | Test Loss: 1.356 | Test Acc: 51.91% +2025-04-27 20:00:13,046 - train - INFO - Epoch: 8 | Train Loss: 1.225 | Train Acc: 55.70% | Test Loss: 1.228 | Test Acc: 55.69% +2025-04-27 20:00:39,987 - train - INFO - Epoch: 9 | Train Loss: 1.204 | Train Acc: 56.49% | Test Loss: 1.151 | Test Acc: 58.34% +2025-04-27 20:00:57,523 - train - INFO - Epoch: 10 | Train Loss: 1.182 | Train Acc: 57.55% | Test Loss: 1.121 | Test Acc: 59.70% +2025-04-27 20:01:24,700 - train - INFO - Epoch: 11 | Train Loss: 1.169 | Train Acc: 58.13% | Test Loss: 1.155 | Test Acc: 59.03% +2025-04-27 20:01:41,614 - train - INFO - Epoch: 12 | Train Loss: 1.161 | Train Acc: 58.35% | Test Loss: 1.123 | Test Acc: 59.29% +2025-04-27 20:02:09,481 - train - INFO - Epoch: 13 | Train Loss: 1.133 | Train Acc: 59.74% | Test Loss: 1.215 | Test Acc: 56.64% +2025-04-27 20:02:27,285 - train - INFO - Epoch: 14 | Train Loss: 1.118 | Train Acc: 60.22% | Test Loss: 1.120 | Test Acc: 60.46% +2025-04-27 20:02:53,559 - train - INFO - Epoch: 15 | Train Loss: 1.098 | Train Acc: 60.97% | Test Loss: 1.089 | Test Acc: 61.30% +2025-04-27 20:03:11,012 - train - INFO - Epoch: 16 | Train Loss: 1.086 | Train Acc: 61.28% | Test Loss: 1.065 | Test Acc: 61.53% +2025-04-27 20:03:37,621 - train - INFO - Epoch: 17 | Train Loss: 1.074 | Train Acc: 61.86% | Test Loss: 1.107 | Test Acc: 60.21% +2025-04-27 20:03:54,871 - train - INFO - Epoch: 18 | Train Loss: 1.067 | Train Acc: 62.30% | Test Loss: 1.088 | Test Acc: 61.55% +2025-04-27 20:04:21,808 - train - INFO - Epoch: 19 | Train Loss: 1.060 | Train Acc: 62.46% | Test Loss: 1.111 | Test Acc: 60.21% +2025-04-27 20:04:39,131 - train - INFO - Epoch: 20 | Train Loss: 1.044 | Train Acc: 62.92% | Test Loss: 1.063 | Test Acc: 62.54% +2025-04-27 20:05:06,161 - train - INFO - Epoch: 21 | Train Loss: 1.034 | Train Acc: 63.52% | Test Loss: 1.052 | Test Acc: 62.50% +2025-04-27 20:05:23,213 - train - INFO - Epoch: 22 | Train Loss: 1.024 | Train Acc: 63.70% | Test Loss: 1.156 | Test Acc: 59.13% +2025-04-27 20:05:50,042 - train - INFO - Epoch: 23 | Train Loss: 1.013 | Train Acc: 63.90% | Test Loss: 0.996 | Test Acc: 64.74% +2025-04-27 20:06:07,442 - train - INFO - Epoch: 24 | Train Loss: 1.007 | Train Acc: 64.55% | Test Loss: 1.053 | Test Acc: 62.72% +2025-04-27 20:06:34,148 - train - INFO - Epoch: 25 | Train Loss: 0.991 | Train Acc: 64.76% | Test Loss: 1.033 | Test Acc: 63.52% +2025-04-27 20:06:50,913 - train - INFO - Epoch: 26 | Train Loss: 0.978 | Train Acc: 65.37% | Test Loss: 0.999 | Test Acc: 64.57% +2025-04-27 20:07:17,570 - train - INFO - Epoch: 27 | Train Loss: 0.968 | Train Acc: 65.74% | Test Loss: 0.934 | Test Acc: 66.73% +2025-04-27 20:07:35,258 - train - INFO - Epoch: 28 | Train Loss: 0.956 | Train Acc: 66.02% | Test Loss: 0.948 | Test Acc: 66.64% +2025-04-27 20:08:01,724 - train - INFO - Epoch: 29 | Train Loss: 0.940 | Train Acc: 66.72% | Test Loss: 0.943 | Test Acc: 66.77% +2025-04-27 20:08:19,257 - train - INFO - Epoch: 30 | Train Loss: 0.933 | Train Acc: 67.12% | Test Loss: 1.010 | Test Acc: 65.35% +2025-04-27 20:08:45,720 - train - INFO - Epoch: 31 | Train Loss: 0.920 | Train Acc: 67.48% | Test Loss: 0.934 | Test Acc: 67.58% +2025-04-27 20:09:02,325 - train - INFO - Epoch: 32 | Train Loss: 0.908 | Train Acc: 67.69% | Test Loss: 0.927 | Test Acc: 67.22% +2025-04-27 20:09:29,160 - train - INFO - Epoch: 33 | Train Loss: 0.899 | Train Acc: 68.15% | Test Loss: 0.848 | Test Acc: 70.08% +2025-04-27 20:09:46,042 - train - INFO - Epoch: 34 | Train Loss: 0.888 | Train Acc: 68.68% | Test Loss: 0.843 | Test Acc: 70.55% +2025-04-27 20:10:12,632 - train - INFO - Epoch: 35 | Train Loss: 0.875 | Train Acc: 69.11% | Test Loss: 0.913 | Test Acc: 67.97% +2025-04-27 20:10:30,319 - train - INFO - Epoch: 36 | Train Loss: 0.858 | Train Acc: 69.77% | Test Loss: 0.843 | Test Acc: 70.12% +2025-04-27 20:10:57,460 - train - INFO - Epoch: 37 | Train Loss: 0.847 | Train Acc: 69.96% | Test Loss: 0.900 | Test Acc: 68.44% +2025-04-27 20:11:13,829 - train - INFO - Epoch: 38 | Train Loss: 0.841 | Train Acc: 70.46% | Test Loss: 0.832 | Test Acc: 70.53% +2025-04-27 20:11:40,397 - train - INFO - Epoch: 39 | Train Loss: 0.822 | Train Acc: 70.89% | Test Loss: 0.834 | Test Acc: 70.75% +2025-04-27 20:11:56,411 - train - INFO - Epoch: 40 | Train Loss: 0.806 | Train Acc: 71.55% | Test Loss: 0.776 | Test Acc: 72.61% +2025-04-27 20:12:23,738 - train - INFO - Epoch: 41 | Train Loss: 0.793 | Train Acc: 72.01% | Test Loss: 0.790 | Test Acc: 72.21% +2025-04-27 20:12:40,767 - train - INFO - Epoch: 42 | Train Loss: 0.783 | Train Acc: 72.33% | Test Loss: 0.757 | Test Acc: 73.29% +2025-04-27 20:13:08,430 - train - INFO - Epoch: 43 | Train Loss: 0.772 | Train Acc: 72.83% | Test Loss: 0.752 | Test Acc: 73.54% +2025-04-27 20:13:25,456 - train - INFO - Epoch: 44 | Train Loss: 0.756 | Train Acc: 73.36% | Test Loss: 0.758 | Test Acc: 73.67% +2025-04-27 20:13:52,759 - train - INFO - Epoch: 45 | Train Loss: 0.747 | Train Acc: 73.65% | Test Loss: 0.727 | Test Acc: 74.48% +2025-04-27 20:14:10,182 - train - INFO - Epoch: 46 | Train Loss: 0.737 | Train Acc: 74.03% | Test Loss: 0.725 | Test Acc: 74.66% +2025-04-27 20:14:38,295 - train - INFO - Epoch: 47 | Train Loss: 0.727 | Train Acc: 74.56% | Test Loss: 0.710 | Test Acc: 74.87% +2025-04-27 20:14:55,404 - train - INFO - Epoch: 48 | Train Loss: 0.721 | Train Acc: 74.55% | Test Loss: 0.712 | Test Acc: 75.04% +2025-04-27 20:15:22,247 - train - INFO - Epoch: 49 | Train Loss: 0.717 | Train Acc: 74.73% | Test Loss: 0.711 | Test Acc: 74.88% +2025-04-27 20:15:39,570 - train - INFO - Epoch: 50 | Train Loss: 0.718 | Train Acc: 74.83% | Test Loss: 0.716 | Test Acc: 74.84% +2025-04-27 20:15:49,026 - train - INFO - 训练完成! diff --git a/MobileNetv3-CIFAR10/Classification-normal/scripts/train.yaml b/MobileNetv3-CIFAR10/Classification-normal/scripts/train.yaml index 205f5c70f85793b0b7856d8230ecc2456fa6f3dd..2ebe874ae64e8777553ade9dcdb389face3c0131 100644 --- a/MobileNetv3-CIFAR10/Classification-normal/scripts/train.yaml +++ b/MobileNetv3-CIFAR10/Classification-normal/scripts/train.yaml @@ -2,6 +2,6 @@ batch_size: 128 num_workers: 2 dataset_path: ../dataset epochs: 50 -gpu: 0 +gpu: 3 lr: 0.1 interval: 2 \ No newline at end of file