./data/MUCAC/CelebAMask-HQ/CelebA-HQ-img
./data/MUCAC/CelebAMask-HQ/CelebA-HQ-img

📌 S Retain class distribution for seed 4:
Class 0: 5284
Class 1: 4210

📌 S Forget class distribution for seed 4:
Class 0: 527
Class 1: 527

📊 Updated class distribution:
Retain set:
  Class 0: 5679
  Class 1: 4605
Forget set:
  Class 0: 132
  Class 1: 132
./data/MUCAC/CelebAMask-HQ/CelebA-HQ-img
./data/MUCAC/CelebAMask-HQ/CelebA-HQ-img
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/10284]	Loss: 0.8378	LR: 0.000000
Training Epoch: 1 [512/10284]	Loss: 0.9030	LR: 0.002439
Training Epoch: 1 [768/10284]	Loss: 0.7082	LR: 0.004878
Training Epoch: 1 [1024/10284]	Loss: 1.1181	LR: 0.007317
Training Epoch: 1 [1280/10284]	Loss: 1.2179	LR: 0.009756
Training Epoch: 1 [1536/10284]	Loss: 0.8449	LR: 0.012195
Training Epoch: 1 [1792/10284]	Loss: 1.2942	LR: 0.014634
Training Epoch: 1 [2048/10284]	Loss: 1.3219	LR: 0.017073
Training Epoch: 1 [2304/10284]	Loss: 0.8049	LR: 0.019512
Training Epoch: 1 [2560/10284]	Loss: 1.3045	LR: 0.021951
Training Epoch: 1 [2816/10284]	Loss: 0.6855	LR: 0.024390
Training Epoch: 1 [3072/10284]	Loss: 1.0670	LR: 0.026829
Training Epoch: 1 [3328/10284]	Loss: 0.7633	LR: 0.029268
Training Epoch: 1 [3584/10284]	Loss: 0.8652	LR: 0.031707
Training Epoch: 1 [3840/10284]	Loss: 0.8239	LR: 0.034146
Training Epoch: 1 [4096/10284]	Loss: 0.7870	LR: 0.036585
Training Epoch: 1 [4352/10284]	Loss: 0.8504	LR: 0.039024
Training Epoch: 1 [4608/10284]	Loss: 0.6825	LR: 0.041463
Training Epoch: 1 [4864/10284]	Loss: 0.7840	LR: 0.043902
Training Epoch: 1 [5120/10284]	Loss: 0.7390	LR: 0.046341
Training Epoch: 1 [5376/10284]	Loss: 0.7862	LR: 0.048780
Training Epoch: 1 [5632/10284]	Loss: 0.8271	LR: 0.051220
Training Epoch: 1 [5888/10284]	Loss: 0.6965	LR: 0.053659
Training Epoch: 1 [6144/10284]	Loss: 0.8827	LR: 0.056098
Training Epoch: 1 [6400/10284]	Loss: 0.6743	LR: 0.058537
Training Epoch: 1 [6656/10284]	Loss: 0.7648	LR: 0.060976
Training Epoch: 1 [6912/10284]	Loss: 0.7626	LR: 0.063415
Training Epoch: 1 [7168/10284]	Loss: 0.7227	LR: 0.065854
Training Epoch: 1 [7424/10284]	Loss: 0.7178	LR: 0.068293
Training Epoch: 1 [7680/10284]	Loss: 0.6816	LR: 0.070732
Training Epoch: 1 [7936/10284]	Loss: 0.6867	LR: 0.073171
Training Epoch: 1 [8192/10284]	Loss: 0.6737	LR: 0.075610
Training Epoch: 1 [8448/10284]	Loss: 0.7010	LR: 0.078049
Training Epoch: 1 [8704/10284]	Loss: 0.7377	LR: 0.080488
Training Epoch: 1 [8960/10284]	Loss: 0.6936	LR: 0.082927
Training Epoch: 1 [9216/10284]	Loss: 0.6918	LR: 0.085366
Training Epoch: 1 [9472/10284]	Loss: 0.6851	LR: 0.087805
Training Epoch: 1 [9728/10284]	Loss: 0.6959	LR: 0.090244
Training Epoch: 1 [9984/10284]	Loss: 0.7096	LR: 0.092683
Training Epoch: 1 [10240/10284]	Loss: 0.7081	LR: 0.095122
Training Epoch: 1 [10284/10284]	Loss: 0.6806	LR: 0.097561
Epoch 1 - Average Train Loss: 0.8220, Train Accuracy: 0.5221
Epoch 1 training time consumed: 342.28s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0031, Accuracy: 0.5385, Time consumed:8.18s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-1-best.pth
Training Epoch: 2 [256/10284]	Loss: 0.6790	LR: 0.100000
Training Epoch: 2 [512/10284]	Loss: 0.7264	LR: 0.100000
Training Epoch: 2 [768/10284]	Loss: 0.6649	LR: 0.100000
Training Epoch: 2 [1024/10284]	Loss: 0.6882	LR: 0.100000
Training Epoch: 2 [1280/10284]	Loss: 0.6826	LR: 0.100000
Training Epoch: 2 [1536/10284]	Loss: 0.7060	LR: 0.100000
Training Epoch: 2 [1792/10284]	Loss: 0.6840	LR: 0.100000
Training Epoch: 2 [2048/10284]	Loss: 0.6936	LR: 0.100000
Training Epoch: 2 [2304/10284]	Loss: 0.6950	LR: 0.100000
Training Epoch: 2 [2560/10284]	Loss: 0.7006	LR: 0.100000
Training Epoch: 2 [2816/10284]	Loss: 0.6863	LR: 0.100000
Training Epoch: 2 [3072/10284]	Loss: 0.6836	LR: 0.100000
Training Epoch: 2 [3328/10284]	Loss: 0.6843	LR: 0.100000
Training Epoch: 2 [3584/10284]	Loss: 0.6986	LR: 0.100000
Training Epoch: 2 [3840/10284]	Loss: 0.6652	LR: 0.100000
Training Epoch: 2 [4096/10284]	Loss: 0.6718	LR: 0.100000
Training Epoch: 2 [4352/10284]	Loss: 0.7077	LR: 0.100000
Training Epoch: 2 [4608/10284]	Loss: 0.6603	LR: 0.100000
Training Epoch: 2 [4864/10284]	Loss: 0.6681	LR: 0.100000
Training Epoch: 2 [5120/10284]	Loss: 0.6861	LR: 0.100000
Training Epoch: 2 [5376/10284]	Loss: 0.6587	LR: 0.100000
Training Epoch: 2 [5632/10284]	Loss: 0.7017	LR: 0.100000
Training Epoch: 2 [5888/10284]	Loss: 0.6749	LR: 0.100000
Training Epoch: 2 [6144/10284]	Loss: 0.6949	LR: 0.100000
Training Epoch: 2 [6400/10284]	Loss: 0.6510	LR: 0.100000
Training Epoch: 2 [6656/10284]	Loss: 0.6699	LR: 0.100000
Training Epoch: 2 [6912/10284]	Loss: 0.6423	LR: 0.100000
Training Epoch: 2 [7168/10284]	Loss: 0.6902	LR: 0.100000
Training Epoch: 2 [7424/10284]	Loss: 0.6697	LR: 0.100000
Training Epoch: 2 [7680/10284]	Loss: 0.6662	LR: 0.100000
Training Epoch: 2 [7936/10284]	Loss: 0.6541	LR: 0.100000
Training Epoch: 2 [8192/10284]	Loss: 0.7249	LR: 0.100000
Training Epoch: 2 [8448/10284]	Loss: 0.6352	LR: 0.100000
Training Epoch: 2 [8704/10284]	Loss: 0.6721	LR: 0.100000
Training Epoch: 2 [8960/10284]	Loss: 0.6634	LR: 0.100000
Training Epoch: 2 [9216/10284]	Loss: 0.6470	LR: 0.100000
Training Epoch: 2 [9472/10284]	Loss: 0.7083	LR: 0.100000
Training Epoch: 2 [9728/10284]	Loss: 0.7205	LR: 0.100000
Training Epoch: 2 [9984/10284]	Loss: 0.6778	LR: 0.100000
Training Epoch: 2 [10240/10284]	Loss: 0.6814	LR: 0.100000
Training Epoch: 2 [10284/10284]	Loss: 0.6996	LR: 0.100000
Epoch 2 - Average Train Loss: 0.6810, Train Accuracy: 0.5710
Epoch 2 training time consumed: 150.30s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0034, Accuracy: 0.5550, Time consumed:8.20s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-2-best.pth
Training Epoch: 3 [256/10284]	Loss: 0.6821	LR: 0.100000
Training Epoch: 3 [512/10284]	Loss: 0.6573	LR: 0.100000
Training Epoch: 3 [768/10284]	Loss: 0.7300	LR: 0.100000
Training Epoch: 3 [1024/10284]	Loss: 0.6614	LR: 0.100000
Training Epoch: 3 [1280/10284]	Loss: 0.6669	LR: 0.100000
Training Epoch: 3 [1536/10284]	Loss: 0.6846	LR: 0.100000
Training Epoch: 3 [1792/10284]	Loss: 0.6760	LR: 0.100000
Training Epoch: 3 [2048/10284]	Loss: 0.7006	LR: 0.100000
Training Epoch: 3 [2304/10284]	Loss: 0.6859	LR: 0.100000
Training Epoch: 3 [2560/10284]	Loss: 0.7215	LR: 0.100000
Training Epoch: 3 [2816/10284]	Loss: 0.6817	LR: 0.100000
Training Epoch: 3 [3072/10284]	Loss: 0.6862	LR: 0.100000
Training Epoch: 3 [3328/10284]	Loss: 0.6902	LR: 0.100000
Training Epoch: 3 [3584/10284]	Loss: 0.6756	LR: 0.100000
Training Epoch: 3 [3840/10284]	Loss: 0.6700	LR: 0.100000
Training Epoch: 3 [4096/10284]	Loss: 0.6685	LR: 0.100000
Training Epoch: 3 [4352/10284]	Loss: 0.6717	LR: 0.100000
Training Epoch: 3 [4608/10284]	Loss: 0.6605	LR: 0.100000
Training Epoch: 3 [4864/10284]	Loss: 0.6877	LR: 0.100000
Training Epoch: 3 [5120/10284]	Loss: 0.6400	LR: 0.100000
Training Epoch: 3 [5376/10284]	Loss: 0.6734	LR: 0.100000
Training Epoch: 3 [5632/10284]	Loss: 0.6832	LR: 0.100000
Training Epoch: 3 [5888/10284]	Loss: 0.6575	LR: 0.100000
Training Epoch: 3 [6144/10284]	Loss: 0.6710	LR: 0.100000
Training Epoch: 3 [6400/10284]	Loss: 0.6814	LR: 0.100000
Training Epoch: 3 [6656/10284]	Loss: 0.6518	LR: 0.100000
Training Epoch: 3 [6912/10284]	Loss: 0.6529	LR: 0.100000
Training Epoch: 3 [7168/10284]	Loss: 0.6783	LR: 0.100000
Training Epoch: 3 [7424/10284]	Loss: 0.6862	LR: 0.100000
Training Epoch: 3 [7680/10284]	Loss: 0.6467	LR: 0.100000
Training Epoch: 3 [7936/10284]	Loss: 0.6906	LR: 0.100000
Training Epoch: 3 [8192/10284]	Loss: 0.6648	LR: 0.100000
Training Epoch: 3 [8448/10284]	Loss: 0.6802	LR: 0.100000
Training Epoch: 3 [8704/10284]	Loss: 0.6800	LR: 0.100000
Training Epoch: 3 [8960/10284]	Loss: 0.6511	LR: 0.100000
Training Epoch: 3 [9216/10284]	Loss: 0.6736	LR: 0.100000
Training Epoch: 3 [9472/10284]	Loss: 0.6714	LR: 0.100000
Training Epoch: 3 [9728/10284]	Loss: 0.6535	LR: 0.100000
Training Epoch: 3 [9984/10284]	Loss: 0.6433	LR: 0.100000
Training Epoch: 3 [10240/10284]	Loss: 0.6687	LR: 0.100000
Training Epoch: 3 [10284/10284]	Loss: 0.6618	LR: 0.100000
Epoch 3 - Average Train Loss: 0.6739, Train Accuracy: 0.5830
Epoch 3 training time consumed: 149.13s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0030, Accuracy: 0.5714, Time consumed:8.10s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-3-best.pth
Training Epoch: 4 [256/10284]	Loss: 0.6548	LR: 0.100000
Training Epoch: 4 [512/10284]	Loss: 0.6837	LR: 0.100000
Training Epoch: 4 [768/10284]	Loss: 0.7278	LR: 0.100000
Training Epoch: 4 [1024/10284]	Loss: 0.6626	LR: 0.100000
Training Epoch: 4 [1280/10284]	Loss: 0.6765	LR: 0.100000
Training Epoch: 4 [1536/10284]	Loss: 0.6626	LR: 0.100000
Training Epoch: 4 [1792/10284]	Loss: 0.6689	LR: 0.100000
Training Epoch: 4 [2048/10284]	Loss: 0.6926	LR: 0.100000
Training Epoch: 4 [2304/10284]	Loss: 0.6715	LR: 0.100000
Training Epoch: 4 [2560/10284]	Loss: 0.6566	LR: 0.100000
Training Epoch: 4 [2816/10284]	Loss: 0.6947	LR: 0.100000
Training Epoch: 4 [3072/10284]	Loss: 0.6715	LR: 0.100000
Training Epoch: 4 [3328/10284]	Loss: 0.6708	LR: 0.100000
Training Epoch: 4 [3584/10284]	Loss: 0.6489	LR: 0.100000
Training Epoch: 4 [3840/10284]	Loss: 0.6596	LR: 0.100000
Training Epoch: 4 [4096/10284]	Loss: 0.6442	LR: 0.100000
Training Epoch: 4 [4352/10284]	Loss: 0.6393	LR: 0.100000
Training Epoch: 4 [4608/10284]	Loss: 0.6940	LR: 0.100000
Training Epoch: 4 [4864/10284]	Loss: 0.6828	LR: 0.100000
Training Epoch: 4 [5120/10284]	Loss: 0.6523	LR: 0.100000
Training Epoch: 4 [5376/10284]	Loss: 0.6561	LR: 0.100000
Training Epoch: 4 [5632/10284]	Loss: 0.6997	LR: 0.100000
Training Epoch: 4 [5888/10284]	Loss: 0.6941	LR: 0.100000
Training Epoch: 4 [6144/10284]	Loss: 0.6465	LR: 0.100000
Training Epoch: 4 [6400/10284]	Loss: 0.6871	LR: 0.100000
Training Epoch: 4 [6656/10284]	Loss: 0.6722	LR: 0.100000
Training Epoch: 4 [6912/10284]	Loss: 0.6853	LR: 0.100000
Training Epoch: 4 [7168/10284]	Loss: 0.6758	LR: 0.100000
Training Epoch: 4 [7424/10284]	Loss: 0.6798	LR: 0.100000
Training Epoch: 4 [7680/10284]	Loss: 0.6885	LR: 0.100000
Training Epoch: 4 [7936/10284]	Loss: 0.6584	LR: 0.100000
Training Epoch: 4 [8192/10284]	Loss: 0.6399	LR: 0.100000
Training Epoch: 4 [8448/10284]	Loss: 0.6943	LR: 0.100000
Training Epoch: 4 [8704/10284]	Loss: 0.6464	LR: 0.100000
Training Epoch: 4 [8960/10284]	Loss: 0.6757	LR: 0.100000
Training Epoch: 4 [9216/10284]	Loss: 0.6208	LR: 0.100000
Training Epoch: 4 [9472/10284]	Loss: 0.6557	LR: 0.100000
Training Epoch: 4 [9728/10284]	Loss: 0.6583	LR: 0.100000
Training Epoch: 4 [9984/10284]	Loss: 0.6567	LR: 0.100000
Training Epoch: 4 [10240/10284]	Loss: 0.7385	LR: 0.100000
Training Epoch: 4 [10284/10284]	Loss: 0.6103	LR: 0.100000
Epoch 4 - Average Train Loss: 0.6709, Train Accuracy: 0.5970
Epoch 4 training time consumed: 149.62s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0032, Accuracy: 0.5550, Time consumed:8.19s
Training Epoch: 5 [256/10284]	Loss: 0.6474	LR: 0.100000
Training Epoch: 5 [512/10284]	Loss: 0.6796	LR: 0.100000
Training Epoch: 5 [768/10284]	Loss: 0.6433	LR: 0.100000
Training Epoch: 5 [1024/10284]	Loss: 0.6809	LR: 0.100000
Training Epoch: 5 [1280/10284]	Loss: 0.6773	LR: 0.100000
Training Epoch: 5 [1536/10284]	Loss: 0.6984	LR: 0.100000
Training Epoch: 5 [1792/10284]	Loss: 0.6879	LR: 0.100000
Training Epoch: 5 [2048/10284]	Loss: 0.6393	LR: 0.100000
Training Epoch: 5 [2304/10284]	Loss: 0.6384	LR: 0.100000
Training Epoch: 5 [2560/10284]	Loss: 0.6325	LR: 0.100000
Training Epoch: 5 [2816/10284]	Loss: 0.6879	LR: 0.100000
Training Epoch: 5 [3072/10284]	Loss: 0.6508	LR: 0.100000
Training Epoch: 5 [3328/10284]	Loss: 0.6493	LR: 0.100000
Training Epoch: 5 [3584/10284]	Loss: 0.6343	LR: 0.100000
Training Epoch: 5 [3840/10284]	Loss: 0.6170	LR: 0.100000
Training Epoch: 5 [4096/10284]	Loss: 0.6168	LR: 0.100000
Training Epoch: 5 [4352/10284]	Loss: 0.6078	LR: 0.100000
Training Epoch: 5 [4608/10284]	Loss: 0.6541	LR: 0.100000
Training Epoch: 5 [4864/10284]	Loss: 0.5943	LR: 0.100000
Training Epoch: 5 [5120/10284]	Loss: 0.6124	LR: 0.100000
Training Epoch: 5 [5376/10284]	Loss: 0.6134	LR: 0.100000
Training Epoch: 5 [5632/10284]	Loss: 0.6057	LR: 0.100000
Training Epoch: 5 [5888/10284]	Loss: 0.6280	LR: 0.100000
Training Epoch: 5 [6144/10284]	Loss: 0.6307	LR: 0.100000
Training Epoch: 5 [6400/10284]	Loss: 0.6029	LR: 0.100000
Training Epoch: 5 [6656/10284]	Loss: 0.6432	LR: 0.100000
Training Epoch: 5 [6912/10284]	Loss: 0.5722	LR: 0.100000
Training Epoch: 5 [7168/10284]	Loss: 0.6020	LR: 0.100000
Training Epoch: 5 [7424/10284]	Loss: 0.6009	LR: 0.100000
Training Epoch: 5 [7680/10284]	Loss: 0.5848	LR: 0.100000
Training Epoch: 5 [7936/10284]	Loss: 0.6004	LR: 0.100000
Training Epoch: 5 [8192/10284]	Loss: 0.5632	LR: 0.100000
Training Epoch: 5 [8448/10284]	Loss: 0.5889	LR: 0.100000
Training Epoch: 5 [8704/10284]	Loss: 0.5946	LR: 0.100000
Training Epoch: 5 [8960/10284]	Loss: 0.5904	LR: 0.100000
Training Epoch: 5 [9216/10284]	Loss: 0.6057	LR: 0.100000
Training Epoch: 5 [9472/10284]	Loss: 0.5515	LR: 0.100000
Training Epoch: 5 [9728/10284]	Loss: 0.6318	LR: 0.100000
Training Epoch: 5 [9984/10284]	Loss: 0.5695	LR: 0.100000
Training Epoch: 5 [10240/10284]	Loss: 0.6260	LR: 0.100000
Training Epoch: 5 [10284/10284]	Loss: 0.6403	LR: 0.100000
Epoch 5 - Average Train Loss: 0.6240, Train Accuracy: 0.6496
Epoch 5 training time consumed: 149.55s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0034, Accuracy: 0.5753, Time consumed:8.08s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-5-best.pth
Training Epoch: 6 [256/10284]	Loss: 0.6027	LR: 0.100000
Training Epoch: 6 [512/10284]	Loss: 0.5934	LR: 0.100000
Training Epoch: 6 [768/10284]	Loss: 0.6711	LR: 0.100000
Training Epoch: 6 [1024/10284]	Loss: 0.5793	LR: 0.100000
Training Epoch: 6 [1280/10284]	Loss: 0.5541	LR: 0.100000
Training Epoch: 6 [1536/10284]	Loss: 0.5477	LR: 0.100000
Training Epoch: 6 [1792/10284]	Loss: 0.6163	LR: 0.100000
Training Epoch: 6 [2048/10284]	Loss: 0.6094	LR: 0.100000
Training Epoch: 6 [2304/10284]	Loss: 0.5498	LR: 0.100000
Training Epoch: 6 [2560/10284]	Loss: 0.5917	LR: 0.100000
Training Epoch: 6 [2816/10284]	Loss: 0.5869	LR: 0.100000
Training Epoch: 6 [3072/10284]	Loss: 0.5824	LR: 0.100000
Training Epoch: 6 [3328/10284]	Loss: 0.6363	LR: 0.100000
Training Epoch: 6 [3584/10284]	Loss: 0.6211	LR: 0.100000
Training Epoch: 6 [3840/10284]	Loss: 0.5665	LR: 0.100000
Training Epoch: 6 [4096/10284]	Loss: 0.5616	LR: 0.100000
Training Epoch: 6 [4352/10284]	Loss: 0.5593	LR: 0.100000
Training Epoch: 6 [4608/10284]	Loss: 0.5243	LR: 0.100000
Training Epoch: 6 [4864/10284]	Loss: 0.5396	LR: 0.100000
Training Epoch: 6 [5120/10284]	Loss: 0.6381	LR: 0.100000
Training Epoch: 6 [5376/10284]	Loss: 0.5651	LR: 0.100000
Training Epoch: 6 [5632/10284]	Loss: 0.5573	LR: 0.100000
Training Epoch: 6 [5888/10284]	Loss: 0.5765	LR: 0.100000
Training Epoch: 6 [6144/10284]	Loss: 0.5265	LR: 0.100000
Training Epoch: 6 [6400/10284]	Loss: 0.4815	LR: 0.100000
Training Epoch: 6 [6656/10284]	Loss: 0.5633	LR: 0.100000
Training Epoch: 6 [6912/10284]	Loss: 0.5528	LR: 0.100000
Training Epoch: 6 [7168/10284]	Loss: 0.5633	LR: 0.100000
Training Epoch: 6 [7424/10284]	Loss: 0.4959	LR: 0.100000
Training Epoch: 6 [7680/10284]	Loss: 0.5162	LR: 0.100000
Training Epoch: 6 [7936/10284]	Loss: 0.5238	LR: 0.100000
Training Epoch: 6 [8192/10284]	Loss: 0.4761	LR: 0.100000
Training Epoch: 6 [8448/10284]	Loss: 0.5271	LR: 0.100000
Training Epoch: 6 [8704/10284]	Loss: 0.4629	LR: 0.100000
Training Epoch: 6 [8960/10284]	Loss: 0.5647	LR: 0.100000
Training Epoch: 6 [9216/10284]	Loss: 0.4388	LR: 0.100000
Training Epoch: 6 [9472/10284]	Loss: 0.4866	LR: 0.100000
Training Epoch: 6 [9728/10284]	Loss: 0.4991	LR: 0.100000
Training Epoch: 6 [9984/10284]	Loss: 0.5337	LR: 0.100000
Training Epoch: 6 [10240/10284]	Loss: 0.4111	LR: 0.100000
Training Epoch: 6 [10284/10284]	Loss: 0.3927	LR: 0.100000
Epoch 6 - Average Train Loss: 0.5507, Train Accuracy: 0.7223
Epoch 6 training time consumed: 149.55s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0028, Accuracy: 0.7056, Time consumed:7.87s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-6-best.pth
Training Epoch: 7 [256/10284]	Loss: 0.5240	LR: 0.100000
Training Epoch: 7 [512/10284]	Loss: 0.5615	LR: 0.100000
Training Epoch: 7 [768/10284]	Loss: 0.4903	LR: 0.100000
Training Epoch: 7 [1024/10284]	Loss: 0.4987	LR: 0.100000
Training Epoch: 7 [1280/10284]	Loss: 0.4800	LR: 0.100000
Training Epoch: 7 [1536/10284]	Loss: 0.4692	LR: 0.100000
Training Epoch: 7 [1792/10284]	Loss: 0.5023	LR: 0.100000
Training Epoch: 7 [2048/10284]	Loss: 0.4672	LR: 0.100000
Training Epoch: 7 [2304/10284]	Loss: 0.4335	LR: 0.100000
Training Epoch: 7 [2560/10284]	Loss: 0.5117	LR: 0.100000
Training Epoch: 7 [2816/10284]	Loss: 0.4764	LR: 0.100000
Training Epoch: 7 [3072/10284]	Loss: 0.4281	LR: 0.100000
Training Epoch: 7 [3328/10284]	Loss: 0.4826	LR: 0.100000
Training Epoch: 7 [3584/10284]	Loss: 0.5651	LR: 0.100000
Training Epoch: 7 [3840/10284]	Loss: 0.4774	LR: 0.100000
Training Epoch: 7 [4096/10284]	Loss: 0.4596	LR: 0.100000
Training Epoch: 7 [4352/10284]	Loss: 0.4703	LR: 0.100000
Training Epoch: 7 [4608/10284]	Loss: 0.4432	LR: 0.100000
Training Epoch: 7 [4864/10284]	Loss: 0.4675	LR: 0.100000
Training Epoch: 7 [5120/10284]	Loss: 0.5026	LR: 0.100000
Training Epoch: 7 [5376/10284]	Loss: 0.4582	LR: 0.100000
Training Epoch: 7 [5632/10284]	Loss: 0.4184	LR: 0.100000
Training Epoch: 7 [5888/10284]	Loss: 0.4544	LR: 0.100000
Training Epoch: 7 [6144/10284]	Loss: 0.4339	LR: 0.100000
Training Epoch: 7 [6400/10284]	Loss: 0.4016	LR: 0.100000
Training Epoch: 7 [6656/10284]	Loss: 0.3763	LR: 0.100000
Training Epoch: 7 [6912/10284]	Loss: 0.4330	LR: 0.100000
Training Epoch: 7 [7168/10284]	Loss: 0.4164	LR: 0.100000
Training Epoch: 7 [7424/10284]	Loss: 0.4552	LR: 0.100000
Training Epoch: 7 [7680/10284]	Loss: 0.4836	LR: 0.100000
Training Epoch: 7 [7936/10284]	Loss: 0.3970	LR: 0.100000
Training Epoch: 7 [8192/10284]	Loss: 0.4414	LR: 0.100000
Training Epoch: 7 [8448/10284]	Loss: 0.4760	LR: 0.100000
Training Epoch: 7 [8704/10284]	Loss: 0.4291	LR: 0.100000
Training Epoch: 7 [8960/10284]	Loss: 0.4167	LR: 0.100000
Training Epoch: 7 [9216/10284]	Loss: 0.4272	LR: 0.100000
Training Epoch: 7 [9472/10284]	Loss: 0.3889	LR: 0.100000
Training Epoch: 7 [9728/10284]	Loss: 0.3868	LR: 0.100000
Training Epoch: 7 [9984/10284]	Loss: 0.4863	LR: 0.100000
Training Epoch: 7 [10240/10284]	Loss: 0.3598	LR: 0.100000
Training Epoch: 7 [10284/10284]	Loss: 0.5025	LR: 0.100000
Epoch 7 - Average Train Loss: 0.4565, Train Accuracy: 0.7881
Epoch 7 training time consumed: 149.75s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0019, Accuracy: 0.8015, Time consumed:8.00s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-7-best.pth
Training Epoch: 8 [256/10284]	Loss: 0.4447	LR: 0.100000
Training Epoch: 8 [512/10284]	Loss: 0.4709	LR: 0.100000
Training Epoch: 8 [768/10284]	Loss: 0.4174	LR: 0.100000
Training Epoch: 8 [1024/10284]	Loss: 0.4278	LR: 0.100000
Training Epoch: 8 [1280/10284]	Loss: 0.4353	LR: 0.100000
Training Epoch: 8 [1536/10284]	Loss: 0.4047	LR: 0.100000
Training Epoch: 8 [1792/10284]	Loss: 0.4767	LR: 0.100000
Training Epoch: 8 [2048/10284]	Loss: 0.4714	LR: 0.100000
Training Epoch: 8 [2304/10284]	Loss: 0.5078	LR: 0.100000
Training Epoch: 8 [2560/10284]	Loss: 0.3791	LR: 0.100000
Training Epoch: 8 [2816/10284]	Loss: 0.3700	LR: 0.100000
Training Epoch: 8 [3072/10284]	Loss: 0.4397	LR: 0.100000
Training Epoch: 8 [3328/10284]	Loss: 0.4123	LR: 0.100000
Training Epoch: 8 [3584/10284]	Loss: 0.4421	LR: 0.100000
Training Epoch: 8 [3840/10284]	Loss: 0.3276	LR: 0.100000
Training Epoch: 8 [4096/10284]	Loss: 0.4024	LR: 0.100000
Training Epoch: 8 [4352/10284]	Loss: 0.5172	LR: 0.100000
Training Epoch: 8 [4608/10284]	Loss: 0.3849	LR: 0.100000
Training Epoch: 8 [4864/10284]	Loss: 0.3913	LR: 0.100000
Training Epoch: 8 [5120/10284]	Loss: 0.3925	LR: 0.100000
Training Epoch: 8 [5376/10284]	Loss: 0.4276	LR: 0.100000
Training Epoch: 8 [5632/10284]	Loss: 0.3983	LR: 0.100000
Training Epoch: 8 [5888/10284]	Loss: 0.3307	LR: 0.100000
Training Epoch: 8 [6144/10284]	Loss: 0.4407	LR: 0.100000
Training Epoch: 8 [6400/10284]	Loss: 0.4067	LR: 0.100000
Training Epoch: 8 [6656/10284]	Loss: 0.4409	LR: 0.100000
Training Epoch: 8 [6912/10284]	Loss: 0.3332	LR: 0.100000
Training Epoch: 8 [7168/10284]	Loss: 0.4181	LR: 0.100000
Training Epoch: 8 [7424/10284]	Loss: 0.3274	LR: 0.100000
Training Epoch: 8 [7680/10284]	Loss: 0.4412	LR: 0.100000
Training Epoch: 8 [7936/10284]	Loss: 0.3732	LR: 0.100000
Training Epoch: 8 [8192/10284]	Loss: 0.3061	LR: 0.100000
Training Epoch: 8 [8448/10284]	Loss: 0.3661	LR: 0.100000
Training Epoch: 8 [8704/10284]	Loss: 0.3579	LR: 0.100000
Training Epoch: 8 [8960/10284]	Loss: 0.2938	LR: 0.100000
Training Epoch: 8 [9216/10284]	Loss: 0.3944	LR: 0.100000
Training Epoch: 8 [9472/10284]	Loss: 0.3155	LR: 0.100000
Training Epoch: 8 [9728/10284]	Loss: 0.3500	LR: 0.100000
Training Epoch: 8 [9984/10284]	Loss: 0.3464	LR: 0.100000
Training Epoch: 8 [10240/10284]	Loss: 0.2852	LR: 0.100000
Training Epoch: 8 [10284/10284]	Loss: 0.2836	LR: 0.100000
Epoch 8 - Average Train Loss: 0.3962, Train Accuracy: 0.8241
Epoch 8 training time consumed: 148.81s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0014, Accuracy: 0.8659, Time consumed:7.90s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-8-best.pth
Training Epoch: 9 [256/10284]	Loss: 0.3576	LR: 0.100000
Training Epoch: 9 [512/10284]	Loss: 0.2897	LR: 0.100000
Training Epoch: 9 [768/10284]	Loss: 0.2893	LR: 0.100000
Training Epoch: 9 [1024/10284]	Loss: 0.3274	LR: 0.100000
Training Epoch: 9 [1280/10284]	Loss: 0.3564	LR: 0.100000
Training Epoch: 9 [1536/10284]	Loss: 0.4850	LR: 0.100000
Training Epoch: 9 [1792/10284]	Loss: 0.2923	LR: 0.100000
Training Epoch: 9 [2048/10284]	Loss: 0.3428	LR: 0.100000
Training Epoch: 9 [2304/10284]	Loss: 0.3036	LR: 0.100000
Training Epoch: 9 [2560/10284]	Loss: 0.3358	LR: 0.100000
Training Epoch: 9 [2816/10284]	Loss: 0.3155	LR: 0.100000
Training Epoch: 9 [3072/10284]	Loss: 0.3309	LR: 0.100000
Training Epoch: 9 [3328/10284]	Loss: 0.3490	LR: 0.100000
Training Epoch: 9 [3584/10284]	Loss: 0.3171	LR: 0.100000
Training Epoch: 9 [3840/10284]	Loss: 0.3353	LR: 0.100000
Training Epoch: 9 [4096/10284]	Loss: 0.3130	LR: 0.100000
Training Epoch: 9 [4352/10284]	Loss: 0.3397	LR: 0.100000
Training Epoch: 9 [4608/10284]	Loss: 0.3259	LR: 0.100000
Training Epoch: 9 [4864/10284]	Loss: 0.3327	LR: 0.100000
Training Epoch: 9 [5120/10284]	Loss: 0.3595	LR: 0.100000
Training Epoch: 9 [5376/10284]	Loss: 0.3256	LR: 0.100000
Training Epoch: 9 [5632/10284]	Loss: 0.3591	LR: 0.100000
Training Epoch: 9 [5888/10284]	Loss: 0.3368	LR: 0.100000
Training Epoch: 9 [6144/10284]	Loss: 0.3796	LR: 0.100000
Training Epoch: 9 [6400/10284]	Loss: 0.3379	LR: 0.100000
Training Epoch: 9 [6656/10284]	Loss: 0.2818	LR: 0.100000
Training Epoch: 9 [6912/10284]	Loss: 0.3316	LR: 0.100000
Training Epoch: 9 [7168/10284]	Loss: 0.3406	LR: 0.100000
Training Epoch: 9 [7424/10284]	Loss: 0.2599	LR: 0.100000
Training Epoch: 9 [7680/10284]	Loss: 0.3246	LR: 0.100000
Training Epoch: 9 [7936/10284]	Loss: 0.3063	LR: 0.100000
Training Epoch: 9 [8192/10284]	Loss: 0.2910	LR: 0.100000
Training Epoch: 9 [8448/10284]	Loss: 0.3202	LR: 0.100000
Training Epoch: 9 [8704/10284]	Loss: 0.3598	LR: 0.100000
Training Epoch: 9 [8960/10284]	Loss: 0.3431	LR: 0.100000
Training Epoch: 9 [9216/10284]	Loss: 0.3111	LR: 0.100000
Training Epoch: 9 [9472/10284]	Loss: 0.3052	LR: 0.100000
Training Epoch: 9 [9728/10284]	Loss: 0.3507	LR: 0.100000
Training Epoch: 9 [9984/10284]	Loss: 0.3466	LR: 0.100000
Training Epoch: 9 [10240/10284]	Loss: 0.2659	LR: 0.100000
Training Epoch: 9 [10284/10284]	Loss: 0.4502	LR: 0.100000
Epoch 9 - Average Train Loss: 0.3299, Train Accuracy: 0.8562
Epoch 9 training time consumed: 149.14s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0066, Accuracy: 0.6707, Time consumed:7.82s
Training Epoch: 10 [256/10284]	Loss: 0.4033	LR: 0.020000
Training Epoch: 10 [512/10284]	Loss: 0.4885	LR: 0.020000
Training Epoch: 10 [768/10284]	Loss: 0.5333	LR: 0.020000
Training Epoch: 10 [1024/10284]	Loss: 0.3214	LR: 0.020000
Training Epoch: 10 [1280/10284]	Loss: 0.3488	LR: 0.020000
Training Epoch: 10 [1536/10284]	Loss: 0.3514	LR: 0.020000
Training Epoch: 10 [1792/10284]	Loss: 0.2978	LR: 0.020000
Training Epoch: 10 [2048/10284]	Loss: 0.3117	LR: 0.020000
Training Epoch: 10 [2304/10284]	Loss: 0.3484	LR: 0.020000
Training Epoch: 10 [2560/10284]	Loss: 0.3345	LR: 0.020000
Training Epoch: 10 [2816/10284]	Loss: 0.3890	LR: 0.020000
Training Epoch: 10 [3072/10284]	Loss: 0.2831	LR: 0.020000
Training Epoch: 10 [3328/10284]	Loss: 0.2780	LR: 0.020000
Training Epoch: 10 [3584/10284]	Loss: 0.3120	LR: 0.020000
Training Epoch: 10 [3840/10284]	Loss: 0.2804	LR: 0.020000
Training Epoch: 10 [4096/10284]	Loss: 0.3435	LR: 0.020000
Training Epoch: 10 [4352/10284]	Loss: 0.2918	LR: 0.020000
Training Epoch: 10 [4608/10284]	Loss: 0.2459	LR: 0.020000
Training Epoch: 10 [4864/10284]	Loss: 0.3252	LR: 0.020000
Training Epoch: 10 [5120/10284]	Loss: 0.2597	LR: 0.020000
Training Epoch: 10 [5376/10284]	Loss: 0.2473	LR: 0.020000
Training Epoch: 10 [5632/10284]	Loss: 0.2342	LR: 0.020000
Training Epoch: 10 [5888/10284]	Loss: 0.2643	LR: 0.020000
Training Epoch: 10 [6144/10284]	Loss: 0.2595	LR: 0.020000
Training Epoch: 10 [6400/10284]	Loss: 0.2736	LR: 0.020000
Training Epoch: 10 [6656/10284]	Loss: 0.2636	LR: 0.020000
Training Epoch: 10 [6912/10284]	Loss: 0.2739	LR: 0.020000
Training Epoch: 10 [7168/10284]	Loss: 0.2228	LR: 0.020000
Training Epoch: 10 [7424/10284]	Loss: 0.2598	LR: 0.020000
Training Epoch: 10 [7680/10284]	Loss: 0.2027	LR: 0.020000
Training Epoch: 10 [7936/10284]	Loss: 0.2502	LR: 0.020000
Training Epoch: 10 [8192/10284]	Loss: 0.2413	LR: 0.020000
Training Epoch: 10 [8448/10284]	Loss: 0.3451	LR: 0.020000
Training Epoch: 10 [8704/10284]	Loss: 0.1939	LR: 0.020000
Training Epoch: 10 [8960/10284]	Loss: 0.2794	LR: 0.020000
Training Epoch: 10 [9216/10284]	Loss: 0.2220	LR: 0.020000
Training Epoch: 10 [9472/10284]	Loss: 0.2234	LR: 0.020000
Training Epoch: 10 [9728/10284]	Loss: 0.1893	LR: 0.020000
Training Epoch: 10 [9984/10284]	Loss: 0.2056	LR: 0.020000
Training Epoch: 10 [10240/10284]	Loss: 0.2172	LR: 0.020000
Training Epoch: 10 [10284/10284]	Loss: 0.1667	LR: 0.020000
Epoch 10 - Average Train Loss: 0.2899, Train Accuracy: 0.8827
Epoch 10 training time consumed: 149.10s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0010, Accuracy: 0.9056, Time consumed:7.93s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-10-best.pth
Training Epoch: 11 [256/10284]	Loss: 0.1908	LR: 0.020000
Training Epoch: 11 [512/10284]	Loss: 0.2100	LR: 0.020000
Training Epoch: 11 [768/10284]	Loss: 0.2571	LR: 0.020000
Training Epoch: 11 [1024/10284]	Loss: 0.2261	LR: 0.020000
Training Epoch: 11 [1280/10284]	Loss: 0.2246	LR: 0.020000
Training Epoch: 11 [1536/10284]	Loss: 0.2596	LR: 0.020000
Training Epoch: 11 [1792/10284]	Loss: 0.2179	LR: 0.020000
Training Epoch: 11 [2048/10284]	Loss: 0.1764	LR: 0.020000
Training Epoch: 11 [2304/10284]	Loss: 0.2454	LR: 0.020000
Training Epoch: 11 [2560/10284]	Loss: 0.2064	LR: 0.020000
Training Epoch: 11 [2816/10284]	Loss: 0.2570	LR: 0.020000
Training Epoch: 11 [3072/10284]	Loss: 0.2141	LR: 0.020000
Training Epoch: 11 [3328/10284]	Loss: 0.2202	LR: 0.020000
Training Epoch: 11 [3584/10284]	Loss: 0.1839	LR: 0.020000
Training Epoch: 11 [3840/10284]	Loss: 0.2631	LR: 0.020000
Training Epoch: 11 [4096/10284]	Loss: 0.2117	LR: 0.020000
Training Epoch: 11 [4352/10284]	Loss: 0.2194	LR: 0.020000
Training Epoch: 11 [4608/10284]	Loss: 0.2160	LR: 0.020000
Training Epoch: 11 [4864/10284]	Loss: 0.2499	LR: 0.020000
Training Epoch: 11 [5120/10284]	Loss: 0.2045	LR: 0.020000
Training Epoch: 11 [5376/10284]	Loss: 0.2103	LR: 0.020000
Training Epoch: 11 [5632/10284]	Loss: 0.2844	LR: 0.020000
Training Epoch: 11 [5888/10284]	Loss: 0.2334	LR: 0.020000
Training Epoch: 11 [6144/10284]	Loss: 0.2206	LR: 0.020000
Training Epoch: 11 [6400/10284]	Loss: 0.2609	LR: 0.020000
Training Epoch: 11 [6656/10284]	Loss: 0.2157	LR: 0.020000
Training Epoch: 11 [6912/10284]	Loss: 0.3053	LR: 0.020000
Training Epoch: 11 [7168/10284]	Loss: 0.2459	LR: 0.020000
Training Epoch: 11 [7424/10284]	Loss: 0.2274	LR: 0.020000
Training Epoch: 11 [7680/10284]	Loss: 0.2397	LR: 0.020000
Training Epoch: 11 [7936/10284]	Loss: 0.1723	LR: 0.020000
Training Epoch: 11 [8192/10284]	Loss: 0.2565	LR: 0.020000
Training Epoch: 11 [8448/10284]	Loss: 0.2580	LR: 0.020000
Training Epoch: 11 [8704/10284]	Loss: 0.1938	LR: 0.020000
Training Epoch: 11 [8960/10284]	Loss: 0.2291	LR: 0.020000
Training Epoch: 11 [9216/10284]	Loss: 0.1740	LR: 0.020000
Training Epoch: 11 [9472/10284]	Loss: 0.2176	LR: 0.020000
Training Epoch: 11 [9728/10284]	Loss: 0.2478	LR: 0.020000
Training Epoch: 11 [9984/10284]	Loss: 0.2043	LR: 0.020000
Training Epoch: 11 [10240/10284]	Loss: 0.2015	LR: 0.020000
Training Epoch: 11 [10284/10284]	Loss: 0.1780	LR: 0.020000
Epoch 11 - Average Train Loss: 0.2261, Train Accuracy: 0.9084
Epoch 11 training time consumed: 148.59s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0009, Accuracy: 0.9061, Time consumed:7.98s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-11-best.pth
Training Epoch: 12 [256/10284]	Loss: 0.2188	LR: 0.020000
Training Epoch: 12 [512/10284]	Loss: 0.1626	LR: 0.020000
Training Epoch: 12 [768/10284]	Loss: 0.2407	LR: 0.020000
Training Epoch: 12 [1024/10284]	Loss: 0.2068	LR: 0.020000
Training Epoch: 12 [1280/10284]	Loss: 0.1912	LR: 0.020000
Training Epoch: 12 [1536/10284]	Loss: 0.3328	LR: 0.020000
Training Epoch: 12 [1792/10284]	Loss: 0.1480	LR: 0.020000
Training Epoch: 12 [2048/10284]	Loss: 0.1395	LR: 0.020000
Training Epoch: 12 [2304/10284]	Loss: 0.1752	LR: 0.020000
Training Epoch: 12 [2560/10284]	Loss: 0.1764	LR: 0.020000
Training Epoch: 12 [2816/10284]	Loss: 0.2314	LR: 0.020000
Training Epoch: 12 [3072/10284]	Loss: 0.2359	LR: 0.020000
Training Epoch: 12 [3328/10284]	Loss: 0.2267	LR: 0.020000
Training Epoch: 12 [3584/10284]	Loss: 0.2365	LR: 0.020000
Training Epoch: 12 [3840/10284]	Loss: 0.2096	LR: 0.020000
Training Epoch: 12 [4096/10284]	Loss: 0.2605	LR: 0.020000
Training Epoch: 12 [4352/10284]	Loss: 0.2117	LR: 0.020000
Training Epoch: 12 [4608/10284]	Loss: 0.1994	LR: 0.020000
Training Epoch: 12 [4864/10284]	Loss: 0.2845	LR: 0.020000
Training Epoch: 12 [5120/10284]	Loss: 0.2665	LR: 0.020000
Training Epoch: 12 [5376/10284]	Loss: 0.2009	LR: 0.020000
Training Epoch: 12 [5632/10284]	Loss: 0.2257	LR: 0.020000
Training Epoch: 12 [5888/10284]	Loss: 0.2593	LR: 0.020000
Training Epoch: 12 [6144/10284]	Loss: 0.1673	LR: 0.020000
Training Epoch: 12 [6400/10284]	Loss: 0.2087	LR: 0.020000
Training Epoch: 12 [6656/10284]	Loss: 0.2518	LR: 0.020000
Training Epoch: 12 [6912/10284]	Loss: 0.1853	LR: 0.020000
Training Epoch: 12 [7168/10284]	Loss: 0.1751	LR: 0.020000
Training Epoch: 12 [7424/10284]	Loss: 0.2279	LR: 0.020000
Training Epoch: 12 [7680/10284]	Loss: 0.2754	LR: 0.020000
Training Epoch: 12 [7936/10284]	Loss: 0.1931	LR: 0.020000
Training Epoch: 12 [8192/10284]	Loss: 0.2115	LR: 0.020000
Training Epoch: 12 [8448/10284]	Loss: 0.2155	LR: 0.020000
Training Epoch: 12 [8704/10284]	Loss: 0.2107	LR: 0.020000
Training Epoch: 12 [8960/10284]	Loss: 0.2523	LR: 0.020000
Training Epoch: 12 [9216/10284]	Loss: 0.2364	LR: 0.020000
Training Epoch: 12 [9472/10284]	Loss: 0.1213	LR: 0.020000
Training Epoch: 12 [9728/10284]	Loss: 0.2202	LR: 0.020000
Training Epoch: 12 [9984/10284]	Loss: 0.1702	LR: 0.020000
Training Epoch: 12 [10240/10284]	Loss: 0.2426	LR: 0.020000
Training Epoch: 12 [10284/10284]	Loss: 0.3604	LR: 0.020000
Epoch 12 - Average Train Loss: 0.2158, Train Accuracy: 0.9112
Epoch 12 training time consumed: 148.10s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0008, Accuracy: 0.9274, Time consumed:8.01s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-12-best.pth
Training Epoch: 13 [256/10284]	Loss: 0.1649	LR: 0.020000
Training Epoch: 13 [512/10284]	Loss: 0.2097	LR: 0.020000
Training Epoch: 13 [768/10284]	Loss: 0.2373	LR: 0.020000
Training Epoch: 13 [1024/10284]	Loss: 0.2366	LR: 0.020000
Training Epoch: 13 [1280/10284]	Loss: 0.1904	LR: 0.020000
Training Epoch: 13 [1536/10284]	Loss: 0.1396	LR: 0.020000
Training Epoch: 13 [1792/10284]	Loss: 0.2078	LR: 0.020000
Training Epoch: 13 [2048/10284]	Loss: 0.2044	LR: 0.020000
Training Epoch: 13 [2304/10284]	Loss: 0.2147	LR: 0.020000
Training Epoch: 13 [2560/10284]	Loss: 0.2291	LR: 0.020000
Training Epoch: 13 [2816/10284]	Loss: 0.1920	LR: 0.020000
Training Epoch: 13 [3072/10284]	Loss: 0.2065	LR: 0.020000
Training Epoch: 13 [3328/10284]	Loss: 0.2074	LR: 0.020000
Training Epoch: 13 [3584/10284]	Loss: 0.1823	LR: 0.020000
Training Epoch: 13 [3840/10284]	Loss: 0.1434	LR: 0.020000
Training Epoch: 13 [4096/10284]	Loss: 0.2124	LR: 0.020000
Training Epoch: 13 [4352/10284]	Loss: 0.2245	LR: 0.020000
Training Epoch: 13 [4608/10284]	Loss: 0.1907	LR: 0.020000
Training Epoch: 13 [4864/10284]	Loss: 0.1702	LR: 0.020000
Training Epoch: 13 [5120/10284]	Loss: 0.1939	LR: 0.020000
Training Epoch: 13 [5376/10284]	Loss: 0.1978	LR: 0.020000
Training Epoch: 13 [5632/10284]	Loss: 0.2229	LR: 0.020000
Training Epoch: 13 [5888/10284]	Loss: 0.2533	LR: 0.020000
Training Epoch: 13 [6144/10284]	Loss: 0.2168	LR: 0.020000
Training Epoch: 13 [6400/10284]	Loss: 0.2054	LR: 0.020000
Training Epoch: 13 [6656/10284]	Loss: 0.1463	LR: 0.020000
Training Epoch: 13 [6912/10284]	Loss: 0.2195	LR: 0.020000
Training Epoch: 13 [7168/10284]	Loss: 0.1811	LR: 0.020000
Training Epoch: 13 [7424/10284]	Loss: 0.1884	LR: 0.020000
Training Epoch: 13 [7680/10284]	Loss: 0.1945	LR: 0.020000
Training Epoch: 13 [7936/10284]	Loss: 0.1488	LR: 0.020000
Training Epoch: 13 [8192/10284]	Loss: 0.3015	LR: 0.020000
Training Epoch: 13 [8448/10284]	Loss: 0.2754	LR: 0.020000
Training Epoch: 13 [8704/10284]	Loss: 0.2442	LR: 0.020000
Training Epoch: 13 [8960/10284]	Loss: 0.1989	LR: 0.020000
Training Epoch: 13 [9216/10284]	Loss: 0.1426	LR: 0.020000
Training Epoch: 13 [9472/10284]	Loss: 0.2388	LR: 0.020000
Training Epoch: 13 [9728/10284]	Loss: 0.2343	LR: 0.020000
Training Epoch: 13 [9984/10284]	Loss: 0.2258	LR: 0.020000
Training Epoch: 13 [10240/10284]	Loss: 0.2409	LR: 0.020000
Training Epoch: 13 [10284/10284]	Loss: 0.1706	LR: 0.020000
Epoch 13 - Average Train Loss: 0.2057, Train Accuracy: 0.9146
Epoch 13 training time consumed: 148.33s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0007, Accuracy: 0.9240, Time consumed:7.98s
Training Epoch: 14 [256/10284]	Loss: 0.2368	LR: 0.020000
Training Epoch: 14 [512/10284]	Loss: 0.1856	LR: 0.020000
Training Epoch: 14 [768/10284]	Loss: 0.1427	LR: 0.020000
Training Epoch: 14 [1024/10284]	Loss: 0.2240	LR: 0.020000
Training Epoch: 14 [1280/10284]	Loss: 0.1805	LR: 0.020000
Training Epoch: 14 [1536/10284]	Loss: 0.1880	LR: 0.020000
Training Epoch: 14 [1792/10284]	Loss: 0.1639	LR: 0.020000
Training Epoch: 14 [2048/10284]	Loss: 0.1823	LR: 0.020000
Training Epoch: 14 [2304/10284]	Loss: 0.1910	LR: 0.020000
Training Epoch: 14 [2560/10284]	Loss: 0.1759	LR: 0.020000
Training Epoch: 14 [2816/10284]	Loss: 0.1599	LR: 0.020000
Training Epoch: 14 [3072/10284]	Loss: 0.1943	LR: 0.020000
Training Epoch: 14 [3328/10284]	Loss: 0.2185	LR: 0.020000
Training Epoch: 14 [3584/10284]	Loss: 0.1159	LR: 0.020000
Training Epoch: 14 [3840/10284]	Loss: 0.2009	LR: 0.020000
Training Epoch: 14 [4096/10284]	Loss: 0.1464	LR: 0.020000
Training Epoch: 14 [4352/10284]	Loss: 0.1701	LR: 0.020000
Training Epoch: 14 [4608/10284]	Loss: 0.2101	LR: 0.020000
Training Epoch: 14 [4864/10284]	Loss: 0.2070	LR: 0.020000
Training Epoch: 14 [5120/10284]	Loss: 0.1915	LR: 0.020000
Training Epoch: 14 [5376/10284]	Loss: 0.1990	LR: 0.020000
Training Epoch: 14 [5632/10284]	Loss: 0.1936	LR: 0.020000
Training Epoch: 14 [5888/10284]	Loss: 0.1693	LR: 0.020000
Training Epoch: 14 [6144/10284]	Loss: 0.1988	LR: 0.020000
Training Epoch: 14 [6400/10284]	Loss: 0.1809	LR: 0.020000
Training Epoch: 14 [6656/10284]	Loss: 0.2394	LR: 0.020000
Training Epoch: 14 [6912/10284]	Loss: 0.1770	LR: 0.020000
Training Epoch: 14 [7168/10284]	Loss: 0.1624	LR: 0.020000
Training Epoch: 14 [7424/10284]	Loss: 0.2565	LR: 0.020000
Training Epoch: 14 [7680/10284]	Loss: 0.1723	LR: 0.020000
Training Epoch: 14 [7936/10284]	Loss: 0.1555	LR: 0.020000
Training Epoch: 14 [8192/10284]	Loss: 0.2371	LR: 0.020000
Training Epoch: 14 [8448/10284]	Loss: 0.1956	LR: 0.020000
Training Epoch: 14 [8704/10284]	Loss: 0.2146	LR: 0.020000
Training Epoch: 14 [8960/10284]	Loss: 0.2390	LR: 0.020000
Training Epoch: 14 [9216/10284]	Loss: 0.1893	LR: 0.020000
Training Epoch: 14 [9472/10284]	Loss: 0.2383	LR: 0.020000
Training Epoch: 14 [9728/10284]	Loss: 0.2295	LR: 0.020000
Training Epoch: 14 [9984/10284]	Loss: 0.2226	LR: 0.020000
Training Epoch: 14 [10240/10284]	Loss: 0.2015	LR: 0.020000
Training Epoch: 14 [10284/10284]	Loss: 0.2051	LR: 0.020000
Epoch 14 - Average Train Loss: 0.1940, Train Accuracy: 0.9212
Epoch 14 training time consumed: 148.04s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0007, Accuracy: 0.9283, Time consumed:8.21s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-14-best.pth
Training Epoch: 15 [256/10284]	Loss: 0.1964	LR: 0.020000
Training Epoch: 15 [512/10284]	Loss: 0.1584	LR: 0.020000
Training Epoch: 15 [768/10284]	Loss: 0.1633	LR: 0.020000
Training Epoch: 15 [1024/10284]	Loss: 0.1938	LR: 0.020000
Training Epoch: 15 [1280/10284]	Loss: 0.2015	LR: 0.020000
Training Epoch: 15 [1536/10284]	Loss: 0.1977	LR: 0.020000
Training Epoch: 15 [1792/10284]	Loss: 0.1798	LR: 0.020000
Training Epoch: 15 [2048/10284]	Loss: 0.1957	LR: 0.020000
Training Epoch: 15 [2304/10284]	Loss: 0.2066	LR: 0.020000
Training Epoch: 15 [2560/10284]	Loss: 0.1517	LR: 0.020000
Training Epoch: 15 [2816/10284]	Loss: 0.1701	LR: 0.020000
Training Epoch: 15 [3072/10284]	Loss: 0.1580	LR: 0.020000
Training Epoch: 15 [3328/10284]	Loss: 0.1629	LR: 0.020000
Training Epoch: 15 [3584/10284]	Loss: 0.1714	LR: 0.020000
Training Epoch: 15 [3840/10284]	Loss: 0.2424	LR: 0.020000
Training Epoch: 15 [4096/10284]	Loss: 0.1802	LR: 0.020000
Training Epoch: 15 [4352/10284]	Loss: 0.2153	LR: 0.020000
Training Epoch: 15 [4608/10284]	Loss: 0.1498	LR: 0.020000
Training Epoch: 15 [4864/10284]	Loss: 0.1949	LR: 0.020000
Training Epoch: 15 [5120/10284]	Loss: 0.1385	LR: 0.020000
Training Epoch: 15 [5376/10284]	Loss: 0.1835	LR: 0.020000
Training Epoch: 15 [5632/10284]	Loss: 0.1680	LR: 0.020000
Training Epoch: 15 [5888/10284]	Loss: 0.1668	LR: 0.020000
Training Epoch: 15 [6144/10284]	Loss: 0.1579	LR: 0.020000
Training Epoch: 15 [6400/10284]	Loss: 0.2006	LR: 0.020000
Training Epoch: 15 [6656/10284]	Loss: 0.1571	LR: 0.020000
Training Epoch: 15 [6912/10284]	Loss: 0.1489	LR: 0.020000
Training Epoch: 15 [7168/10284]	Loss: 0.1920	LR: 0.020000
Training Epoch: 15 [7424/10284]	Loss: 0.1715	LR: 0.020000
Training Epoch: 15 [7680/10284]	Loss: 0.1574	LR: 0.020000
Training Epoch: 15 [7936/10284]	Loss: 0.2193	LR: 0.020000
Training Epoch: 15 [8192/10284]	Loss: 0.1357	LR: 0.020000
Training Epoch: 15 [8448/10284]	Loss: 0.1255	LR: 0.020000
Training Epoch: 15 [8704/10284]	Loss: 0.2031	LR: 0.020000
Training Epoch: 15 [8960/10284]	Loss: 0.1954	LR: 0.020000
Training Epoch: 15 [9216/10284]	Loss: 0.1744	LR: 0.020000
Training Epoch: 15 [9472/10284]	Loss: 0.1831	LR: 0.020000
Training Epoch: 15 [9728/10284]	Loss: 0.2159	LR: 0.020000
Training Epoch: 15 [9984/10284]	Loss: 0.1424	LR: 0.020000
Training Epoch: 15 [10240/10284]	Loss: 0.1322	LR: 0.020000
Training Epoch: 15 [10284/10284]	Loss: 0.1287	LR: 0.020000
Epoch 15 - Average Train Loss: 0.1763, Train Accuracy: 0.9292
Epoch 15 training time consumed: 149.86s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0006, Accuracy: 0.9293, Time consumed:7.93s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-15-best.pth
Training Epoch: 16 [256/10284]	Loss: 0.1899	LR: 0.020000
Training Epoch: 16 [512/10284]	Loss: 0.1960	LR: 0.020000
Training Epoch: 16 [768/10284]	Loss: 0.1507	LR: 0.020000
Training Epoch: 16 [1024/10284]	Loss: 0.1706	LR: 0.020000
Training Epoch: 16 [1280/10284]	Loss: 0.1837	LR: 0.020000
Training Epoch: 16 [1536/10284]	Loss: 0.1524	LR: 0.020000
Training Epoch: 16 [1792/10284]	Loss: 0.1627	LR: 0.020000
Training Epoch: 16 [2048/10284]	Loss: 0.1838	LR: 0.020000
Training Epoch: 16 [2304/10284]	Loss: 0.1649	LR: 0.020000
Training Epoch: 16 [2560/10284]	Loss: 0.1453	LR: 0.020000
Training Epoch: 16 [2816/10284]	Loss: 0.1574	LR: 0.020000
Training Epoch: 16 [3072/10284]	Loss: 0.2095	LR: 0.020000
Training Epoch: 16 [3328/10284]	Loss: 0.1531	LR: 0.020000
Training Epoch: 16 [3584/10284]	Loss: 0.1600	LR: 0.020000
Training Epoch: 16 [3840/10284]	Loss: 0.1836	LR: 0.020000
Training Epoch: 16 [4096/10284]	Loss: 0.1953	LR: 0.020000
Training Epoch: 16 [4352/10284]	Loss: 0.2078	LR: 0.020000
Training Epoch: 16 [4608/10284]	Loss: 0.1432	LR: 0.020000
Training Epoch: 16 [4864/10284]	Loss: 0.1270	LR: 0.020000
Training Epoch: 16 [5120/10284]	Loss: 0.2035	LR: 0.020000
Training Epoch: 16 [5376/10284]	Loss: 0.1691	LR: 0.020000
Training Epoch: 16 [5632/10284]	Loss: 0.0964	LR: 0.020000
Training Epoch: 16 [5888/10284]	Loss: 0.2050	LR: 0.020000
Training Epoch: 16 [6144/10284]	Loss: 0.1813	LR: 0.020000
Training Epoch: 16 [6400/10284]	Loss: 0.1278	LR: 0.020000
Training Epoch: 16 [6656/10284]	Loss: 0.1861	LR: 0.020000
Training Epoch: 16 [6912/10284]	Loss: 0.1554	LR: 0.020000
Training Epoch: 16 [7168/10284]	Loss: 0.1492	LR: 0.020000
Training Epoch: 16 [7424/10284]	Loss: 0.2421	LR: 0.020000
Training Epoch: 16 [7680/10284]	Loss: 0.1460	LR: 0.020000
Training Epoch: 16 [7936/10284]	Loss: 0.1593	LR: 0.020000
Training Epoch: 16 [8192/10284]	Loss: 0.2196	LR: 0.020000
Training Epoch: 16 [8448/10284]	Loss: 0.1696	LR: 0.020000
Training Epoch: 16 [8704/10284]	Loss: 0.1608	LR: 0.020000
Training Epoch: 16 [8960/10284]	Loss: 0.2149	LR: 0.020000
Training Epoch: 16 [9216/10284]	Loss: 0.1889	LR: 0.020000
Training Epoch: 16 [9472/10284]	Loss: 0.1541	LR: 0.020000
Training Epoch: 16 [9728/10284]	Loss: 0.2122	LR: 0.020000
Training Epoch: 16 [9984/10284]	Loss: 0.1530	LR: 0.020000
Training Epoch: 16 [10240/10284]	Loss: 0.1795	LR: 0.020000
Training Epoch: 16 [10284/10284]	Loss: 0.1219	LR: 0.020000
Epoch 16 - Average Train Loss: 0.1726, Train Accuracy: 0.9268
Epoch 16 training time consumed: 149.67s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0012, Accuracy: 0.8809, Time consumed:8.08s
Training Epoch: 17 [256/10284]	Loss: 0.1576	LR: 0.020000
Training Epoch: 17 [512/10284]	Loss: 0.1277	LR: 0.020000
Training Epoch: 17 [768/10284]	Loss: 0.2077	LR: 0.020000
Training Epoch: 17 [1024/10284]	Loss: 0.1624	LR: 0.020000
Training Epoch: 17 [1280/10284]	Loss: 0.1280	LR: 0.020000
Training Epoch: 17 [1536/10284]	Loss: 0.1660	LR: 0.020000
Training Epoch: 17 [1792/10284]	Loss: 0.1998	LR: 0.020000
Training Epoch: 17 [2048/10284]	Loss: 0.1742	LR: 0.020000
Training Epoch: 17 [2304/10284]	Loss: 0.1616	LR: 0.020000
Training Epoch: 17 [2560/10284]	Loss: 0.1565	LR: 0.020000
Training Epoch: 17 [2816/10284]	Loss: 0.1265	LR: 0.020000
Training Epoch: 17 [3072/10284]	Loss: 0.1669	LR: 0.020000
Training Epoch: 17 [3328/10284]	Loss: 0.1749	LR: 0.020000
Training Epoch: 17 [3584/10284]	Loss: 0.1658	LR: 0.020000
Training Epoch: 17 [3840/10284]	Loss: 0.1376	LR: 0.020000
Training Epoch: 17 [4096/10284]	Loss: 0.1262	LR: 0.020000
Training Epoch: 17 [4352/10284]	Loss: 0.1736	LR: 0.020000
Training Epoch: 17 [4608/10284]	Loss: 0.1132	LR: 0.020000
Training Epoch: 17 [4864/10284]	Loss: 0.1713	LR: 0.020000
Training Epoch: 17 [5120/10284]	Loss: 0.1348	LR: 0.020000
Training Epoch: 17 [5376/10284]	Loss: 0.1803	LR: 0.020000
Training Epoch: 17 [5632/10284]	Loss: 0.1376	LR: 0.020000
Training Epoch: 17 [5888/10284]	Loss: 0.2509	LR: 0.020000
Training Epoch: 17 [6144/10284]	Loss: 0.1689	LR: 0.020000
Training Epoch: 17 [6400/10284]	Loss: 0.1720	LR: 0.020000
Training Epoch: 17 [6656/10284]	Loss: 0.1328	LR: 0.020000
Training Epoch: 17 [6912/10284]	Loss: 0.1558	LR: 0.020000
Training Epoch: 17 [7168/10284]	Loss: 0.2031	LR: 0.020000
Training Epoch: 17 [7424/10284]	Loss: 0.1851	LR: 0.020000
Training Epoch: 17 [7680/10284]	Loss: 0.1832	LR: 0.020000
Training Epoch: 17 [7936/10284]	Loss: 0.1670	LR: 0.020000
Training Epoch: 17 [8192/10284]	Loss: 0.1614	LR: 0.020000
Training Epoch: 17 [8448/10284]	Loss: 0.1921	LR: 0.020000
Training Epoch: 17 [8704/10284]	Loss: 0.1388	LR: 0.020000
Training Epoch: 17 [8960/10284]	Loss: 0.1743	LR: 0.020000
Training Epoch: 17 [9216/10284]	Loss: 0.1889	LR: 0.020000
Training Epoch: 17 [9472/10284]	Loss: 0.1803	LR: 0.020000
Training Epoch: 17 [9728/10284]	Loss: 0.2314	LR: 0.020000
Training Epoch: 17 [9984/10284]	Loss: 0.1665	LR: 0.020000
Training Epoch: 17 [10240/10284]	Loss: 0.1816	LR: 0.020000
Training Epoch: 17 [10284/10284]	Loss: 0.2179	LR: 0.020000
Epoch 17 - Average Train Loss: 0.1673, Train Accuracy: 0.9319
Epoch 17 training time consumed: 148.97s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0006, Accuracy: 0.9400, Time consumed:7.92s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-17-best.pth
Training Epoch: 18 [256/10284]	Loss: 0.2143	LR: 0.020000
Training Epoch: 18 [512/10284]	Loss: 0.1975	LR: 0.020000
Training Epoch: 18 [768/10284]	Loss: 0.1365	LR: 0.020000
Training Epoch: 18 [1024/10284]	Loss: 0.1457	LR: 0.020000
Training Epoch: 18 [1280/10284]	Loss: 0.2191	LR: 0.020000
Training Epoch: 18 [1536/10284]	Loss: 0.1901	LR: 0.020000
Training Epoch: 18 [1792/10284]	Loss: 0.1319	LR: 0.020000
Training Epoch: 18 [2048/10284]	Loss: 0.2630	LR: 0.020000
Training Epoch: 18 [2304/10284]	Loss: 0.2073	LR: 0.020000
Training Epoch: 18 [2560/10284]	Loss: 0.1668	LR: 0.020000
Training Epoch: 18 [2816/10284]	Loss: 0.1561	LR: 0.020000
Training Epoch: 18 [3072/10284]	Loss: 0.1569	LR: 0.020000
Training Epoch: 18 [3328/10284]	Loss: 0.1501	LR: 0.020000
Training Epoch: 18 [3584/10284]	Loss: 0.1702	LR: 0.020000
Training Epoch: 18 [3840/10284]	Loss: 0.1663	LR: 0.020000
Training Epoch: 18 [4096/10284]	Loss: 0.1453	LR: 0.020000
Training Epoch: 18 [4352/10284]	Loss: 0.1572	LR: 0.020000
Training Epoch: 18 [4608/10284]	Loss: 0.1885	LR: 0.020000
Training Epoch: 18 [4864/10284]	Loss: 0.1799	LR: 0.020000
Training Epoch: 18 [5120/10284]	Loss: 0.1453	LR: 0.020000
Training Epoch: 18 [5376/10284]	Loss: 0.1837	LR: 0.020000
Training Epoch: 18 [5632/10284]	Loss: 0.1760	LR: 0.020000
Training Epoch: 18 [5888/10284]	Loss: 0.2001	LR: 0.020000
Training Epoch: 18 [6144/10284]	Loss: 0.2064	LR: 0.020000
Training Epoch: 18 [6400/10284]	Loss: 0.1505	LR: 0.020000
Training Epoch: 18 [6656/10284]	Loss: 0.1660	LR: 0.020000
Training Epoch: 18 [6912/10284]	Loss: 0.1369	LR: 0.020000
Training Epoch: 18 [7168/10284]	Loss: 0.1752	LR: 0.020000
Training Epoch: 18 [7424/10284]	Loss: 0.1315	LR: 0.020000
Training Epoch: 18 [7680/10284]	Loss: 0.1494	LR: 0.020000
Training Epoch: 18 [7936/10284]	Loss: 0.1773	LR: 0.020000
Training Epoch: 18 [8192/10284]	Loss: 0.1403	LR: 0.020000
Training Epoch: 18 [8448/10284]	Loss: 0.1375	LR: 0.020000
Training Epoch: 18 [8704/10284]	Loss: 0.2013	LR: 0.020000
Training Epoch: 18 [8960/10284]	Loss: 0.1283	LR: 0.020000
Training Epoch: 18 [9216/10284]	Loss: 0.1100	LR: 0.020000
Training Epoch: 18 [9472/10284]	Loss: 0.1731	LR: 0.020000
Training Epoch: 18 [9728/10284]	Loss: 0.1886	LR: 0.020000
Training Epoch: 18 [9984/10284]	Loss: 0.1605	LR: 0.020000
Training Epoch: 18 [10240/10284]	Loss: 0.2159	LR: 0.020000
Training Epoch: 18 [10284/10284]	Loss: 0.0981	LR: 0.020000
Epoch 18 - Average Train Loss: 0.1696, Train Accuracy: 0.9313
Epoch 18 training time consumed: 149.63s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0008, Accuracy: 0.9138, Time consumed:7.90s
Training Epoch: 19 [256/10284]	Loss: 0.1101	LR: 0.020000
Training Epoch: 19 [512/10284]	Loss: 0.2067	LR: 0.020000
Training Epoch: 19 [768/10284]	Loss: 0.1319	LR: 0.020000
Training Epoch: 19 [1024/10284]	Loss: 0.1341	LR: 0.020000
Training Epoch: 19 [1280/10284]	Loss: 0.2385	LR: 0.020000
Training Epoch: 19 [1536/10284]	Loss: 0.1634	LR: 0.020000
Training Epoch: 19 [1792/10284]	Loss: 0.1413	LR: 0.020000
Training Epoch: 19 [2048/10284]	Loss: 0.1367	LR: 0.020000
Training Epoch: 19 [2304/10284]	Loss: 0.1724	LR: 0.020000
Training Epoch: 19 [2560/10284]	Loss: 0.1560	LR: 0.020000
Training Epoch: 19 [2816/10284]	Loss: 0.1871	LR: 0.020000
Training Epoch: 19 [3072/10284]	Loss: 0.1456	LR: 0.020000
Training Epoch: 19 [3328/10284]	Loss: 0.1068	LR: 0.020000
Training Epoch: 19 [3584/10284]	Loss: 0.1509	LR: 0.020000
Training Epoch: 19 [3840/10284]	Loss: 0.1468	LR: 0.020000
Training Epoch: 19 [4096/10284]	Loss: 0.1281	LR: 0.020000
Training Epoch: 19 [4352/10284]	Loss: 0.1519	LR: 0.020000
Training Epoch: 19 [4608/10284]	Loss: 0.1257	LR: 0.020000
Training Epoch: 19 [4864/10284]	Loss: 0.1281	LR: 0.020000
Training Epoch: 19 [5120/10284]	Loss: 0.1423	LR: 0.020000
Training Epoch: 19 [5376/10284]	Loss: 0.1544	LR: 0.020000
Training Epoch: 19 [5632/10284]	Loss: 0.1328	LR: 0.020000
Training Epoch: 19 [5888/10284]	Loss: 0.1626	LR: 0.020000
Training Epoch: 19 [6144/10284]	Loss: 0.2018	LR: 0.020000
Training Epoch: 19 [6400/10284]	Loss: 0.1127	LR: 0.020000
Training Epoch: 19 [6656/10284]	Loss: 0.1610	LR: 0.020000
Training Epoch: 19 [6912/10284]	Loss: 0.1373	LR: 0.020000
Training Epoch: 19 [7168/10284]	Loss: 0.1198	LR: 0.020000
Training Epoch: 19 [7424/10284]	Loss: 0.1851	LR: 0.020000
Training Epoch: 19 [7680/10284]	Loss: 0.1244	LR: 0.020000
Training Epoch: 19 [7936/10284]	Loss: 0.1872	LR: 0.020000
Training Epoch: 19 [8192/10284]	Loss: 0.1684	LR: 0.020000
Training Epoch: 19 [8448/10284]	Loss: 0.1576	LR: 0.020000
Training Epoch: 19 [8704/10284]	Loss: 0.2071	LR: 0.020000
Training Epoch: 19 [8960/10284]	Loss: 0.1355	LR: 0.020000
Training Epoch: 19 [9216/10284]	Loss: 0.1598	LR: 0.020000
Training Epoch: 19 [9472/10284]	Loss: 0.1335	LR: 0.020000
Training Epoch: 19 [9728/10284]	Loss: 0.1525	LR: 0.020000
Training Epoch: 19 [9984/10284]	Loss: 0.2273	LR: 0.020000
Training Epoch: 19 [10240/10284]	Loss: 0.1628	LR: 0.020000
Training Epoch: 19 [10284/10284]	Loss: 0.0982	LR: 0.020000
Epoch 19 - Average Train Loss: 0.1545, Train Accuracy: 0.9343
Epoch 19 training time consumed: 149.91s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0006, Accuracy: 0.9404, Time consumed:8.02s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-19-best.pth
Training Epoch: 20 [256/10284]	Loss: 0.1154	LR: 0.004000
Training Epoch: 20 [512/10284]	Loss: 0.1578	LR: 0.004000
Training Epoch: 20 [768/10284]	Loss: 0.1532	LR: 0.004000
Training Epoch: 20 [1024/10284]	Loss: 0.1474	LR: 0.004000
Training Epoch: 20 [1280/10284]	Loss: 0.1354	LR: 0.004000
Training Epoch: 20 [1536/10284]	Loss: 0.1456	LR: 0.004000
Training Epoch: 20 [1792/10284]	Loss: 0.1246	LR: 0.004000
Training Epoch: 20 [2048/10284]	Loss: 0.1651	LR: 0.004000
Training Epoch: 20 [2304/10284]	Loss: 0.1579	LR: 0.004000
Training Epoch: 20 [2560/10284]	Loss: 0.1548	LR: 0.004000
Training Epoch: 20 [2816/10284]	Loss: 0.2237	LR: 0.004000
Training Epoch: 20 [3072/10284]	Loss: 0.1698	LR: 0.004000
Training Epoch: 20 [3328/10284]	Loss: 0.1019	LR: 0.004000
Training Epoch: 20 [3584/10284]	Loss: 0.1445	LR: 0.004000
Training Epoch: 20 [3840/10284]	Loss: 0.1106	LR: 0.004000
Training Epoch: 20 [4096/10284]	Loss: 0.1295	LR: 0.004000
Training Epoch: 20 [4352/10284]	Loss: 0.1194	LR: 0.004000
Training Epoch: 20 [4608/10284]	Loss: 0.1581	LR: 0.004000
Training Epoch: 20 [4864/10284]	Loss: 0.1272	LR: 0.004000
Training Epoch: 20 [5120/10284]	Loss: 0.1337	LR: 0.004000
Training Epoch: 20 [5376/10284]	Loss: 0.1652	LR: 0.004000
Training Epoch: 20 [5632/10284]	Loss: 0.1548	LR: 0.004000
Training Epoch: 20 [5888/10284]	Loss: 0.1541	LR: 0.004000
Training Epoch: 20 [6144/10284]	Loss: 0.1015	LR: 0.004000
Training Epoch: 20 [6400/10284]	Loss: 0.1366	LR: 0.004000
Training Epoch: 20 [6656/10284]	Loss: 0.1290	LR: 0.004000
Training Epoch: 20 [6912/10284]	Loss: 0.1198	LR: 0.004000
Training Epoch: 20 [7168/10284]	Loss: 0.1659	LR: 0.004000
Training Epoch: 20 [7424/10284]	Loss: 0.1745	LR: 0.004000
Training Epoch: 20 [7680/10284]	Loss: 0.1424	LR: 0.004000
Training Epoch: 20 [7936/10284]	Loss: 0.1210	LR: 0.004000
Training Epoch: 20 [8192/10284]	Loss: 0.1288	LR: 0.004000
Training Epoch: 20 [8448/10284]	Loss: 0.1063	LR: 0.004000
Training Epoch: 20 [8704/10284]	Loss: 0.1204	LR: 0.004000
Training Epoch: 20 [8960/10284]	Loss: 0.1514	LR: 0.004000
Training Epoch: 20 [9216/10284]	Loss: 0.1322	LR: 0.004000
Training Epoch: 20 [9472/10284]	Loss: 0.1018	LR: 0.004000
Training Epoch: 20 [9728/10284]	Loss: 0.1127	LR: 0.004000
Training Epoch: 20 [9984/10284]	Loss: 0.1347	LR: 0.004000
Training Epoch: 20 [10240/10284]	Loss: 0.0884	LR: 0.004000
Training Epoch: 20 [10284/10284]	Loss: 0.1375	LR: 0.004000
Epoch 20 - Average Train Loss: 0.1379, Train Accuracy: 0.9424
Epoch 20 training time consumed: 150.76s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0006, Accuracy: 0.9438, Time consumed:7.99s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-20-best.pth
Training Epoch: 21 [256/10284]	Loss: 0.1058	LR: 0.004000
Training Epoch: 21 [512/10284]	Loss: 0.1366	LR: 0.004000
Training Epoch: 21 [768/10284]	Loss: 0.1304	LR: 0.004000
Training Epoch: 21 [1024/10284]	Loss: 0.1681	LR: 0.004000
Training Epoch: 21 [1280/10284]	Loss: 0.1043	LR: 0.004000
Training Epoch: 21 [1536/10284]	Loss: 0.1480	LR: 0.004000
Training Epoch: 21 [1792/10284]	Loss: 0.1105	LR: 0.004000
Training Epoch: 21 [2048/10284]	Loss: 0.1348	LR: 0.004000
Training Epoch: 21 [2304/10284]	Loss: 0.1316	LR: 0.004000
Training Epoch: 21 [2560/10284]	Loss: 0.1356	LR: 0.004000
Training Epoch: 21 [2816/10284]	Loss: 0.1584	LR: 0.004000
Training Epoch: 21 [3072/10284]	Loss: 0.1636	LR: 0.004000
Training Epoch: 21 [3328/10284]	Loss: 0.1891	LR: 0.004000
Training Epoch: 21 [3584/10284]	Loss: 0.1201	LR: 0.004000
Training Epoch: 21 [3840/10284]	Loss: 0.1165	LR: 0.004000
Training Epoch: 21 [4096/10284]	Loss: 0.1059	LR: 0.004000
Training Epoch: 21 [4352/10284]	Loss: 0.1225	LR: 0.004000
Training Epoch: 21 [4608/10284]	Loss: 0.2045	LR: 0.004000
Training Epoch: 21 [4864/10284]	Loss: 0.1330	LR: 0.004000
Training Epoch: 21 [5120/10284]	Loss: 0.1385	LR: 0.004000
Training Epoch: 21 [5376/10284]	Loss: 0.0991	LR: 0.004000
Training Epoch: 21 [5632/10284]	Loss: 0.1189	LR: 0.004000
Training Epoch: 21 [5888/10284]	Loss: 0.1286	LR: 0.004000
Training Epoch: 21 [6144/10284]	Loss: 0.1388	LR: 0.004000
Training Epoch: 21 [6400/10284]	Loss: 0.1209	LR: 0.004000
Training Epoch: 21 [6656/10284]	Loss: 0.1266	LR: 0.004000
Training Epoch: 21 [6912/10284]	Loss: 0.1839	LR: 0.004000
Training Epoch: 21 [7168/10284]	Loss: 0.1150	LR: 0.004000
Training Epoch: 21 [7424/10284]	Loss: 0.1317	LR: 0.004000
Training Epoch: 21 [7680/10284]	Loss: 0.1868	LR: 0.004000
Training Epoch: 21 [7936/10284]	Loss: 0.1381	LR: 0.004000
Training Epoch: 21 [8192/10284]	Loss: 0.1057	LR: 0.004000
Training Epoch: 21 [8448/10284]	Loss: 0.1094	LR: 0.004000
Training Epoch: 21 [8704/10284]	Loss: 0.1217	LR: 0.004000
Training Epoch: 21 [8960/10284]	Loss: 0.0618	LR: 0.004000
Training Epoch: 21 [9216/10284]	Loss: 0.1003	LR: 0.004000
Training Epoch: 21 [9472/10284]	Loss: 0.1621	LR: 0.004000
Training Epoch: 21 [9728/10284]	Loss: 0.1988	LR: 0.004000
Training Epoch: 21 [9984/10284]	Loss: 0.1125	LR: 0.004000
Training Epoch: 21 [10240/10284]	Loss: 0.0636	LR: 0.004000
Training Epoch: 21 [10284/10284]	Loss: 0.0582	LR: 0.004000
Epoch 21 - Average Train Loss: 0.1317, Train Accuracy: 0.9463
Epoch 21 training time consumed: 148.81s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0005, Accuracy: 0.9453, Time consumed:7.91s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-21-best.pth
Training Epoch: 22 [256/10284]	Loss: 0.1435	LR: 0.004000
Training Epoch: 22 [512/10284]	Loss: 0.1073	LR: 0.004000
Training Epoch: 22 [768/10284]	Loss: 0.0779	LR: 0.004000
Training Epoch: 22 [1024/10284]	Loss: 0.1231	LR: 0.004000
Training Epoch: 22 [1280/10284]	Loss: 0.1609	LR: 0.004000
Training Epoch: 22 [1536/10284]	Loss: 0.1212	LR: 0.004000
Training Epoch: 22 [1792/10284]	Loss: 0.1125	LR: 0.004000
Training Epoch: 22 [2048/10284]	Loss: 0.0996	LR: 0.004000
Training Epoch: 22 [2304/10284]	Loss: 0.1755	LR: 0.004000
Training Epoch: 22 [2560/10284]	Loss: 0.1342	LR: 0.004000
Training Epoch: 22 [2816/10284]	Loss: 0.1263	LR: 0.004000
Training Epoch: 22 [3072/10284]	Loss: 0.1092	LR: 0.004000
Training Epoch: 22 [3328/10284]	Loss: 0.1262	LR: 0.004000
Training Epoch: 22 [3584/10284]	Loss: 0.1069	LR: 0.004000
Training Epoch: 22 [3840/10284]	Loss: 0.1201	LR: 0.004000
Training Epoch: 22 [4096/10284]	Loss: 0.1717	LR: 0.004000
Training Epoch: 22 [4352/10284]	Loss: 0.1257	LR: 0.004000
Training Epoch: 22 [4608/10284]	Loss: 0.1116	LR: 0.004000
Training Epoch: 22 [4864/10284]	Loss: 0.1504	LR: 0.004000
Training Epoch: 22 [5120/10284]	Loss: 0.1334	LR: 0.004000
Training Epoch: 22 [5376/10284]	Loss: 0.1501	LR: 0.004000
Training Epoch: 22 [5632/10284]	Loss: 0.1402	LR: 0.004000
Training Epoch: 22 [5888/10284]	Loss: 0.1116	LR: 0.004000
Training Epoch: 22 [6144/10284]	Loss: 0.1720	LR: 0.004000
Training Epoch: 22 [6400/10284]	Loss: 0.1324	LR: 0.004000
Training Epoch: 22 [6656/10284]	Loss: 0.1546	LR: 0.004000
Training Epoch: 22 [6912/10284]	Loss: 0.1517	LR: 0.004000
Training Epoch: 22 [7168/10284]	Loss: 0.0948	LR: 0.004000
Training Epoch: 22 [7424/10284]	Loss: 0.1255	LR: 0.004000
Training Epoch: 22 [7680/10284]	Loss: 0.0957	LR: 0.004000
Training Epoch: 22 [7936/10284]	Loss: 0.1920	LR: 0.004000
Training Epoch: 22 [8192/10284]	Loss: 0.1671	LR: 0.004000
Training Epoch: 22 [8448/10284]	Loss: 0.1264	LR: 0.004000
Training Epoch: 22 [8704/10284]	Loss: 0.1199	LR: 0.004000
Training Epoch: 22 [8960/10284]	Loss: 0.1368	LR: 0.004000
Training Epoch: 22 [9216/10284]	Loss: 0.1074	LR: 0.004000
Training Epoch: 22 [9472/10284]	Loss: 0.1265	LR: 0.004000
Training Epoch: 22 [9728/10284]	Loss: 0.1149	LR: 0.004000
Training Epoch: 22 [9984/10284]	Loss: 0.1268	LR: 0.004000
Training Epoch: 22 [10240/10284]	Loss: 0.1437	LR: 0.004000
Training Epoch: 22 [10284/10284]	Loss: 0.1709	LR: 0.004000
Epoch 22 - Average Train Loss: 0.1309, Train Accuracy: 0.9445
Epoch 22 training time consumed: 148.56s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0005, Accuracy: 0.9458, Time consumed:7.90s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-22-best.pth
Training Epoch: 23 [256/10284]	Loss: 0.1429	LR: 0.004000
Training Epoch: 23 [512/10284]	Loss: 0.1285	LR: 0.004000
Training Epoch: 23 [768/10284]	Loss: 0.1284	LR: 0.004000
Training Epoch: 23 [1024/10284]	Loss: 0.1433	LR: 0.004000
Training Epoch: 23 [1280/10284]	Loss: 0.1155	LR: 0.004000
Training Epoch: 23 [1536/10284]	Loss: 0.1281	LR: 0.004000
Training Epoch: 23 [1792/10284]	Loss: 0.1154	LR: 0.004000
Training Epoch: 23 [2048/10284]	Loss: 0.1482	LR: 0.004000
Training Epoch: 23 [2304/10284]	Loss: 0.1297	LR: 0.004000
Training Epoch: 23 [2560/10284]	Loss: 0.1031	LR: 0.004000
Training Epoch: 23 [2816/10284]	Loss: 0.1354	LR: 0.004000
Training Epoch: 23 [3072/10284]	Loss: 0.1593	LR: 0.004000
Training Epoch: 23 [3328/10284]	Loss: 0.1325	LR: 0.004000
Training Epoch: 23 [3584/10284]	Loss: 0.1077	LR: 0.004000
Training Epoch: 23 [3840/10284]	Loss: 0.1283	LR: 0.004000
Training Epoch: 23 [4096/10284]	Loss: 0.1242	LR: 0.004000
Training Epoch: 23 [4352/10284]	Loss: 0.1333	LR: 0.004000
Training Epoch: 23 [4608/10284]	Loss: 0.1007	LR: 0.004000
Training Epoch: 23 [4864/10284]	Loss: 0.1434	LR: 0.004000
Training Epoch: 23 [5120/10284]	Loss: 0.1555	LR: 0.004000
Training Epoch: 23 [5376/10284]	Loss: 0.0883	LR: 0.004000
Training Epoch: 23 [5632/10284]	Loss: 0.1051	LR: 0.004000
Training Epoch: 23 [5888/10284]	Loss: 0.0808	LR: 0.004000
Training Epoch: 23 [6144/10284]	Loss: 0.1335	LR: 0.004000
Training Epoch: 23 [6400/10284]	Loss: 0.1643	LR: 0.004000
Training Epoch: 23 [6656/10284]	Loss: 0.1126	LR: 0.004000
Training Epoch: 23 [6912/10284]	Loss: 0.1410	LR: 0.004000
Training Epoch: 23 [7168/10284]	Loss: 0.1605	LR: 0.004000
Training Epoch: 23 [7424/10284]	Loss: 0.1069	LR: 0.004000
Training Epoch: 23 [7680/10284]	Loss: 0.1250	LR: 0.004000
Training Epoch: 23 [7936/10284]	Loss: 0.1392	LR: 0.004000
Training Epoch: 23 [8192/10284]	Loss: 0.0921	LR: 0.004000
Training Epoch: 23 [8448/10284]	Loss: 0.1329	LR: 0.004000
Training Epoch: 23 [8704/10284]	Loss: 0.1508	LR: 0.004000
Training Epoch: 23 [8960/10284]	Loss: 0.1577	LR: 0.004000
Training Epoch: 23 [9216/10284]	Loss: 0.1161	LR: 0.004000
Training Epoch: 23 [9472/10284]	Loss: 0.0954	LR: 0.004000
Training Epoch: 23 [9728/10284]	Loss: 0.1057	LR: 0.004000
Training Epoch: 23 [9984/10284]	Loss: 0.1139	LR: 0.004000
Training Epoch: 23 [10240/10284]	Loss: 0.1578	LR: 0.004000
Training Epoch: 23 [10284/10284]	Loss: 0.1398	LR: 0.004000
Epoch 23 - Average Train Loss: 0.1271, Train Accuracy: 0.9481
Epoch 23 training time consumed: 148.94s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0005, Accuracy: 0.9472, Time consumed:8.00s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-23-best.pth
Training Epoch: 24 [256/10284]	Loss: 0.1224	LR: 0.004000
Training Epoch: 24 [512/10284]	Loss: 0.1350	LR: 0.004000
Training Epoch: 24 [768/10284]	Loss: 0.0937	LR: 0.004000
Training Epoch: 24 [1024/10284]	Loss: 0.1352	LR: 0.004000
Training Epoch: 24 [1280/10284]	Loss: 0.1288	LR: 0.004000
Training Epoch: 24 [1536/10284]	Loss: 0.0944	LR: 0.004000
Training Epoch: 24 [1792/10284]	Loss: 0.1145	LR: 0.004000
Training Epoch: 24 [2048/10284]	Loss: 0.0966	LR: 0.004000
Training Epoch: 24 [2304/10284]	Loss: 0.1386	LR: 0.004000
Training Epoch: 24 [2560/10284]	Loss: 0.1476	LR: 0.004000
Training Epoch: 24 [2816/10284]	Loss: 0.1087	LR: 0.004000
Training Epoch: 24 [3072/10284]	Loss: 0.0673	LR: 0.004000
Training Epoch: 24 [3328/10284]	Loss: 0.1405	LR: 0.004000
Training Epoch: 24 [3584/10284]	Loss: 0.1692	LR: 0.004000
Training Epoch: 24 [3840/10284]	Loss: 0.1180	LR: 0.004000
Training Epoch: 24 [4096/10284]	Loss: 0.0936	LR: 0.004000
Training Epoch: 24 [4352/10284]	Loss: 0.1220	LR: 0.004000
Training Epoch: 24 [4608/10284]	Loss: 0.1252	LR: 0.004000
Training Epoch: 24 [4864/10284]	Loss: 0.1248	LR: 0.004000
Training Epoch: 24 [5120/10284]	Loss: 0.0963	LR: 0.004000
Training Epoch: 24 [5376/10284]	Loss: 0.1047	LR: 0.004000
Training Epoch: 24 [5632/10284]	Loss: 0.0908	LR: 0.004000
Training Epoch: 24 [5888/10284]	Loss: 0.1235	LR: 0.004000
Training Epoch: 24 [6144/10284]	Loss: 0.1478	LR: 0.004000
Training Epoch: 24 [6400/10284]	Loss: 0.0984	LR: 0.004000
Training Epoch: 24 [6656/10284]	Loss: 0.1410	LR: 0.004000
Training Epoch: 24 [6912/10284]	Loss: 0.1503	LR: 0.004000
Training Epoch: 24 [7168/10284]	Loss: 0.1341	LR: 0.004000
Training Epoch: 24 [7424/10284]	Loss: 0.1334	LR: 0.004000
Training Epoch: 24 [7680/10284]	Loss: 0.1304	LR: 0.004000
Training Epoch: 24 [7936/10284]	Loss: 0.1666	LR: 0.004000
Training Epoch: 24 [8192/10284]	Loss: 0.1641	LR: 0.004000
Training Epoch: 24 [8448/10284]	Loss: 0.1082	LR: 0.004000
Training Epoch: 24 [8704/10284]	Loss: 0.0791	LR: 0.004000
Training Epoch: 24 [8960/10284]	Loss: 0.1422	LR: 0.004000
Training Epoch: 24 [9216/10284]	Loss: 0.1442	LR: 0.004000
Training Epoch: 24 [9472/10284]	Loss: 0.1592	LR: 0.004000
Training Epoch: 24 [9728/10284]	Loss: 0.0964	LR: 0.004000
Training Epoch: 24 [9984/10284]	Loss: 0.1333	LR: 0.004000
Training Epoch: 24 [10240/10284]	Loss: 0.1320	LR: 0.004000
Training Epoch: 24 [10284/10284]	Loss: 0.1908	LR: 0.004000
Epoch 24 - Average Train Loss: 0.1241, Train Accuracy: 0.9477
Epoch 24 training time consumed: 150.02s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0005, Accuracy: 0.9458, Time consumed:8.07s
Training Epoch: 25 [256/10284]	Loss: 0.1061	LR: 0.004000
Training Epoch: 25 [512/10284]	Loss: 0.1062	LR: 0.004000
Training Epoch: 25 [768/10284]	Loss: 0.1541	LR: 0.004000
Training Epoch: 25 [1024/10284]	Loss: 0.0790	LR: 0.004000
Training Epoch: 25 [1280/10284]	Loss: 0.1061	LR: 0.004000
Training Epoch: 25 [1536/10284]	Loss: 0.1152	LR: 0.004000
Training Epoch: 25 [1792/10284]	Loss: 0.1117	LR: 0.004000
Training Epoch: 25 [2048/10284]	Loss: 0.1181	LR: 0.004000
Training Epoch: 25 [2304/10284]	Loss: 0.1462	LR: 0.004000
Training Epoch: 25 [2560/10284]	Loss: 0.1320	LR: 0.004000
Training Epoch: 25 [2816/10284]	Loss: 0.1415	LR: 0.004000
Training Epoch: 25 [3072/10284]	Loss: 0.1412	LR: 0.004000
Training Epoch: 25 [3328/10284]	Loss: 0.1530	LR: 0.004000
Training Epoch: 25 [3584/10284]	Loss: 0.1051	LR: 0.004000
Training Epoch: 25 [3840/10284]	Loss: 0.1433	LR: 0.004000
Training Epoch: 25 [4096/10284]	Loss: 0.1189	LR: 0.004000
Training Epoch: 25 [4352/10284]	Loss: 0.1206	LR: 0.004000
Training Epoch: 25 [4608/10284]	Loss: 0.1068	LR: 0.004000
Training Epoch: 25 [4864/10284]	Loss: 0.1151	LR: 0.004000
Training Epoch: 25 [5120/10284]	Loss: 0.1343	LR: 0.004000
Training Epoch: 25 [5376/10284]	Loss: 0.1137	LR: 0.004000
Training Epoch: 25 [5632/10284]	Loss: 0.1449	LR: 0.004000
Training Epoch: 25 [5888/10284]	Loss: 0.1168	LR: 0.004000
Training Epoch: 25 [6144/10284]	Loss: 0.1099	LR: 0.004000
Training Epoch: 25 [6400/10284]	Loss: 0.2033	LR: 0.004000
Training Epoch: 25 [6656/10284]	Loss: 0.1153	LR: 0.004000
Training Epoch: 25 [6912/10284]	Loss: 0.1140	LR: 0.004000
Training Epoch: 25 [7168/10284]	Loss: 0.1503	LR: 0.004000
Training Epoch: 25 [7424/10284]	Loss: 0.1258	LR: 0.004000
Training Epoch: 25 [7680/10284]	Loss: 0.1658	LR: 0.004000
Training Epoch: 25 [7936/10284]	Loss: 0.1530	LR: 0.004000
Training Epoch: 25 [8192/10284]	Loss: 0.0601	LR: 0.004000
Training Epoch: 25 [8448/10284]	Loss: 0.1475	LR: 0.004000
Training Epoch: 25 [8704/10284]	Loss: 0.1333	LR: 0.004000
Training Epoch: 25 [8960/10284]	Loss: 0.0735	LR: 0.004000
Training Epoch: 25 [9216/10284]	Loss: 0.1484	LR: 0.004000
Training Epoch: 25 [9472/10284]	Loss: 0.1133	LR: 0.004000
Training Epoch: 25 [9728/10284]	Loss: 0.1466	LR: 0.004000
Training Epoch: 25 [9984/10284]	Loss: 0.1270	LR: 0.004000
Training Epoch: 25 [10240/10284]	Loss: 0.1210	LR: 0.004000
Training Epoch: 25 [10284/10284]	Loss: 0.0795	LR: 0.004000
Epoch 25 - Average Train Loss: 0.1258, Train Accuracy: 0.9520
Epoch 25 training time consumed: 149.39s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0005, Accuracy: 0.9477, Time consumed:8.06s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-25-best.pth
Training Epoch: 26 [256/10284]	Loss: 0.1092	LR: 0.004000
Training Epoch: 26 [512/10284]	Loss: 0.0732	LR: 0.004000
Training Epoch: 26 [768/10284]	Loss: 0.2144	LR: 0.004000
Training Epoch: 26 [1024/10284]	Loss: 0.1182	LR: 0.004000
Training Epoch: 26 [1280/10284]	Loss: 0.1304	LR: 0.004000
Training Epoch: 26 [1536/10284]	Loss: 0.1463	LR: 0.004000
Training Epoch: 26 [1792/10284]	Loss: 0.0992	LR: 0.004000
Training Epoch: 26 [2048/10284]	Loss: 0.1683	LR: 0.004000
Training Epoch: 26 [2304/10284]	Loss: 0.1073	LR: 0.004000
Training Epoch: 26 [2560/10284]	Loss: 0.1197	LR: 0.004000
Training Epoch: 26 [2816/10284]	Loss: 0.1087	LR: 0.004000
Training Epoch: 26 [3072/10284]	Loss: 0.1449	LR: 0.004000
Training Epoch: 26 [3328/10284]	Loss: 0.1787	LR: 0.004000
Training Epoch: 26 [3584/10284]	Loss: 0.1075	LR: 0.004000
Training Epoch: 26 [3840/10284]	Loss: 0.0937	LR: 0.004000
Training Epoch: 26 [4096/10284]	Loss: 0.1319	LR: 0.004000
Training Epoch: 26 [4352/10284]	Loss: 0.1400	LR: 0.004000
Training Epoch: 26 [4608/10284]	Loss: 0.1257	LR: 0.004000
Training Epoch: 26 [4864/10284]	Loss: 0.1283	LR: 0.004000
Training Epoch: 26 [5120/10284]	Loss: 0.1367	LR: 0.004000
Training Epoch: 26 [5376/10284]	Loss: 0.1348	LR: 0.004000
Training Epoch: 26 [5632/10284]	Loss: 0.1449	LR: 0.004000
Training Epoch: 26 [5888/10284]	Loss: 0.1507	LR: 0.004000
Training Epoch: 26 [6144/10284]	Loss: 0.1139	LR: 0.004000
Training Epoch: 26 [6400/10284]	Loss: 0.0831	LR: 0.004000
Training Epoch: 26 [6656/10284]	Loss: 0.1396	LR: 0.004000
Training Epoch: 26 [6912/10284]	Loss: 0.1009	LR: 0.004000
Training Epoch: 26 [7168/10284]	Loss: 0.1305	LR: 0.004000
Training Epoch: 26 [7424/10284]	Loss: 0.1360	LR: 0.004000
Training Epoch: 26 [7680/10284]	Loss: 0.1065	LR: 0.004000
Training Epoch: 26 [7936/10284]	Loss: 0.1077	LR: 0.004000
Training Epoch: 26 [8192/10284]	Loss: 0.1245	LR: 0.004000
Training Epoch: 26 [8448/10284]	Loss: 0.0940	LR: 0.004000
Training Epoch: 26 [8704/10284]	Loss: 0.1195	LR: 0.004000
Training Epoch: 26 [8960/10284]	Loss: 0.1152	LR: 0.004000
Training Epoch: 26 [9216/10284]	Loss: 0.1492	LR: 0.004000
Training Epoch: 26 [9472/10284]	Loss: 0.1474	LR: 0.004000
Training Epoch: 26 [9728/10284]	Loss: 0.1189	LR: 0.004000
Training Epoch: 26 [9984/10284]	Loss: 0.1155	LR: 0.004000
Training Epoch: 26 [10240/10284]	Loss: 0.1018	LR: 0.004000
Training Epoch: 26 [10284/10284]	Loss: 0.0725	LR: 0.004000
Epoch 26 - Average Train Loss: 0.1252, Train Accuracy: 0.9485
Epoch 26 training time consumed: 149.82s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0005, Accuracy: 0.9511, Time consumed:8.10s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-26-best.pth
Training Epoch: 27 [256/10284]	Loss: 0.1761	LR: 0.004000
Training Epoch: 27 [512/10284]	Loss: 0.1368	LR: 0.004000
Training Epoch: 27 [768/10284]	Loss: 0.1233	LR: 0.004000
Training Epoch: 27 [1024/10284]	Loss: 0.1024	LR: 0.004000
Training Epoch: 27 [1280/10284]	Loss: 0.1280	LR: 0.004000
Training Epoch: 27 [1536/10284]	Loss: 0.1589	LR: 0.004000
Training Epoch: 27 [1792/10284]	Loss: 0.1080	LR: 0.004000
Training Epoch: 27 [2048/10284]	Loss: 0.1337	LR: 0.004000
Training Epoch: 27 [2304/10284]	Loss: 0.1189	LR: 0.004000
Training Epoch: 27 [2560/10284]	Loss: 0.1130	LR: 0.004000
Training Epoch: 27 [2816/10284]	Loss: 0.1548	LR: 0.004000
Training Epoch: 27 [3072/10284]	Loss: 0.1698	LR: 0.004000
Training Epoch: 27 [3328/10284]	Loss: 0.1185	LR: 0.004000
Training Epoch: 27 [3584/10284]	Loss: 0.1239	LR: 0.004000
Training Epoch: 27 [3840/10284]	Loss: 0.1072	LR: 0.004000
Training Epoch: 27 [4096/10284]	Loss: 0.1069	LR: 0.004000
Training Epoch: 27 [4352/10284]	Loss: 0.1095	LR: 0.004000
Training Epoch: 27 [4608/10284]	Loss: 0.1528	LR: 0.004000
Training Epoch: 27 [4864/10284]	Loss: 0.1077	LR: 0.004000
Training Epoch: 27 [5120/10284]	Loss: 0.1522	LR: 0.004000
Training Epoch: 27 [5376/10284]	Loss: 0.1057	LR: 0.004000
Training Epoch: 27 [5632/10284]	Loss: 0.1093	LR: 0.004000
Training Epoch: 27 [5888/10284]	Loss: 0.1265	LR: 0.004000
Training Epoch: 27 [6144/10284]	Loss: 0.1130	LR: 0.004000
Training Epoch: 27 [6400/10284]	Loss: 0.1145	LR: 0.004000
Training Epoch: 27 [6656/10284]	Loss: 0.0993	LR: 0.004000
Training Epoch: 27 [6912/10284]	Loss: 0.0839	LR: 0.004000
Training Epoch: 27 [7168/10284]	Loss: 0.1029	LR: 0.004000
Training Epoch: 27 [7424/10284]	Loss: 0.0992	LR: 0.004000
Training Epoch: 27 [7680/10284]	Loss: 0.1452	LR: 0.004000
Training Epoch: 27 [7936/10284]	Loss: 0.1326	LR: 0.004000
Training Epoch: 27 [8192/10284]	Loss: 0.1437	LR: 0.004000
Training Epoch: 27 [8448/10284]	Loss: 0.1581	LR: 0.004000
Training Epoch: 27 [8704/10284]	Loss: 0.1387	LR: 0.004000
Training Epoch: 27 [8960/10284]	Loss: 0.1314	LR: 0.004000
Training Epoch: 27 [9216/10284]	Loss: 0.1097	LR: 0.004000
Training Epoch: 27 [9472/10284]	Loss: 0.1285	LR: 0.004000
Training Epoch: 27 [9728/10284]	Loss: 0.0932	LR: 0.004000
Training Epoch: 27 [9984/10284]	Loss: 0.1206	LR: 0.004000
Training Epoch: 27 [10240/10284]	Loss: 0.0998	LR: 0.004000
Training Epoch: 27 [10284/10284]	Loss: 0.1603	LR: 0.004000
Epoch 27 - Average Train Loss: 0.1241, Train Accuracy: 0.9499
Epoch 27 training time consumed: 150.11s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0005, Accuracy: 0.9467, Time consumed:8.17s
Training Epoch: 28 [256/10284]	Loss: 0.1330	LR: 0.004000
Training Epoch: 28 [512/10284]	Loss: 0.1075	LR: 0.004000
Training Epoch: 28 [768/10284]	Loss: 0.1478	LR: 0.004000
Training Epoch: 28 [1024/10284]	Loss: 0.1063	LR: 0.004000
Training Epoch: 28 [1280/10284]	Loss: 0.1215	LR: 0.004000
Training Epoch: 28 [1536/10284]	Loss: 0.1292	LR: 0.004000
Training Epoch: 28 [1792/10284]	Loss: 0.1627	LR: 0.004000
Training Epoch: 28 [2048/10284]	Loss: 0.1035	LR: 0.004000
Training Epoch: 28 [2304/10284]	Loss: 0.1416	LR: 0.004000
Training Epoch: 28 [2560/10284]	Loss: 0.1014	LR: 0.004000
Training Epoch: 28 [2816/10284]	Loss: 0.0891	LR: 0.004000
Training Epoch: 28 [3072/10284]	Loss: 0.1092	LR: 0.004000
Training Epoch: 28 [3328/10284]	Loss: 0.1375	LR: 0.004000
Training Epoch: 28 [3584/10284]	Loss: 0.1322	LR: 0.004000
Training Epoch: 28 [3840/10284]	Loss: 0.1213	LR: 0.004000
Training Epoch: 28 [4096/10284]	Loss: 0.0999	LR: 0.004000
Training Epoch: 28 [4352/10284]	Loss: 0.1452	LR: 0.004000
Training Epoch: 28 [4608/10284]	Loss: 0.1505	LR: 0.004000
Training Epoch: 28 [4864/10284]	Loss: 0.1494	LR: 0.004000
Training Epoch: 28 [5120/10284]	Loss: 0.0695	LR: 0.004000
Training Epoch: 28 [5376/10284]	Loss: 0.1178	LR: 0.004000
Training Epoch: 28 [5632/10284]	Loss: 0.1307	LR: 0.004000
Training Epoch: 28 [5888/10284]	Loss: 0.1443	LR: 0.004000
Training Epoch: 28 [6144/10284]	Loss: 0.1727	LR: 0.004000
Training Epoch: 28 [6400/10284]	Loss: 0.1694	LR: 0.004000
Training Epoch: 28 [6656/10284]	Loss: 0.0975	LR: 0.004000
Training Epoch: 28 [6912/10284]	Loss: 0.1168	LR: 0.004000
Training Epoch: 28 [7168/10284]	Loss: 0.0985	LR: 0.004000
Training Epoch: 28 [7424/10284]	Loss: 0.1429	LR: 0.004000
Training Epoch: 28 [7680/10284]	Loss: 0.1186	LR: 0.004000
Training Epoch: 28 [7936/10284]	Loss: 0.0956	LR: 0.004000
Training Epoch: 28 [8192/10284]	Loss: 0.0857	LR: 0.004000
Training Epoch: 28 [8448/10284]	Loss: 0.0787	LR: 0.004000
Training Epoch: 28 [8704/10284]	Loss: 0.1232	LR: 0.004000
Training Epoch: 28 [8960/10284]	Loss: 0.1270	LR: 0.004000
Training Epoch: 28 [9216/10284]	Loss: 0.1160	LR: 0.004000
Training Epoch: 28 [9472/10284]	Loss: 0.1237	LR: 0.004000
Training Epoch: 28 [9728/10284]	Loss: 0.1032	LR: 0.004000
Training Epoch: 28 [9984/10284]	Loss: 0.1212	LR: 0.004000
Training Epoch: 28 [10240/10284]	Loss: 0.1027	LR: 0.004000
Training Epoch: 28 [10284/10284]	Loss: 0.1032	LR: 0.004000
Epoch 28 - Average Train Loss: 0.1210, Train Accuracy: 0.9519
Epoch 28 training time consumed: 149.99s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0005, Accuracy: 0.9535, Time consumed:8.08s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_14h_47m_52s/ResNet18-MUCAC-seed4-ret75-28-best.pth
Training Epoch: 29 [256/10284]	Loss: 0.1392	LR: 0.004000
Training Epoch: 29 [512/10284]	Loss: 0.1052	LR: 0.004000
Training Epoch: 29 [768/10284]	Loss: 0.1244	LR: 0.004000
Training Epoch: 29 [1024/10284]	Loss: 0.1229	LR: 0.004000
Training Epoch: 29 [1280/10284]	Loss: 0.1112	LR: 0.004000
Training Epoch: 29 [1536/10284]	Loss: 0.1565	LR: 0.004000
Training Epoch: 29 [1792/10284]	Loss: 0.0928	LR: 0.004000
Training Epoch: 29 [2048/10284]	Loss: 0.0888	LR: 0.004000
Training Epoch: 29 [2304/10284]	Loss: 0.1300	LR: 0.004000
Training Epoch: 29 [2560/10284]	Loss: 0.1340	LR: 0.004000
Training Epoch: 29 [2816/10284]	Loss: 0.1117	LR: 0.004000
Training Epoch: 29 [3072/10284]	Loss: 0.1005	LR: 0.004000
Training Epoch: 29 [3328/10284]	Loss: 0.1081	LR: 0.004000
Training Epoch: 29 [3584/10284]	Loss: 0.1257	LR: 0.004000
Training Epoch: 29 [3840/10284]	Loss: 0.1199	LR: 0.004000
Training Epoch: 29 [4096/10284]	Loss: 0.0944	LR: 0.004000
Training Epoch: 29 [4352/10284]	Loss: 0.1262	LR: 0.004000
Training Epoch: 29 [4608/10284]	Loss: 0.1190	LR: 0.004000
Training Epoch: 29 [4864/10284]	Loss: 0.1354	LR: 0.004000
Training Epoch: 29 [5120/10284]	Loss: 0.1351	LR: 0.004000
Training Epoch: 29 [5376/10284]	Loss: 0.1057	LR: 0.004000
Training Epoch: 29 [5632/10284]	Loss: 0.1416	LR: 0.004000
Training Epoch: 29 [5888/10284]	Loss: 0.1408	LR: 0.004000
Training Epoch: 29 [6144/10284]	Loss: 0.1249	LR: 0.004000
Training Epoch: 29 [6400/10284]	Loss: 0.1106	LR: 0.004000
Training Epoch: 29 [6656/10284]	Loss: 0.0879	LR: 0.004000
Training Epoch: 29 [6912/10284]	Loss: 0.0918	LR: 0.004000
Training Epoch: 29 [7168/10284]	Loss: 0.1776	LR: 0.004000
Training Epoch: 29 [7424/10284]	Loss: 0.1302	LR: 0.004000
Training Epoch: 29 [7680/10284]	Loss: 0.1049	LR: 0.004000
Training Epoch: 29 [7936/10284]	Loss: 0.1018	LR: 0.004000
Training Epoch: 29 [8192/10284]	Loss: 0.0948	LR: 0.004000
Training Epoch: 29 [8448/10284]	Loss: 0.1669	LR: 0.004000
Training Epoch: 29 [8704/10284]	Loss: 0.0851	LR: 0.004000
Training Epoch: 29 [8960/10284]	Loss: 0.1145	LR: 0.004000
Training Epoch: 29 [9216/10284]	Loss: 0.1705	LR: 0.004000
Training Epoch: 29 [9472/10284]	Loss: 0.1142	LR: 0.004000
Training Epoch: 29 [9728/10284]	Loss: 0.1627	LR: 0.004000
Training Epoch: 29 [9984/10284]	Loss: 0.0691	LR: 0.004000
Training Epoch: 29 [10240/10284]	Loss: 0.1010	LR: 0.004000
Training Epoch: 29 [10284/10284]	Loss: 0.1297	LR: 0.004000
Epoch 29 - Average Train Loss: 0.1195, Train Accuracy: 0.9516
Epoch 29 training time consumed: 149.25s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0005, Accuracy: 0.9462, Time consumed:8.07s
Training Epoch: 30 [256/10284]	Loss: 0.0931	LR: 0.004000
Training Epoch: 30 [512/10284]	Loss: 0.0796	LR: 0.004000
Training Epoch: 30 [768/10284]	Loss: 0.1119	LR: 0.004000
Training Epoch: 30 [1024/10284]	Loss: 0.0751	LR: 0.004000
Training Epoch: 30 [1280/10284]	Loss: 0.0954	LR: 0.004000
Training Epoch: 30 [1536/10284]	Loss: 0.1037	LR: 0.004000
Training Epoch: 30 [1792/10284]	Loss: 0.0980	LR: 0.004000
Training Epoch: 30 [2048/10284]	Loss: 0.1074	LR: 0.004000
Training Epoch: 30 [2304/10284]	Loss: 0.1383	LR: 0.004000
Training Epoch: 30 [2560/10284]	Loss: 0.1130	LR: 0.004000
Training Epoch: 30 [2816/10284]	Loss: 0.1598	LR: 0.004000
Training Epoch: 30 [3072/10284]	Loss: 0.1528	LR: 0.004000
Training Epoch: 30 [3328/10284]	Loss: 0.0627	LR: 0.004000
Training Epoch: 30 [3584/10284]	Loss: 0.0825	LR: 0.004000
Training Epoch: 30 [3840/10284]	Loss: 0.1677	LR: 0.004000
Training Epoch: 30 [4096/10284]	Loss: 0.1029	LR: 0.004000
Training Epoch: 30 [4352/10284]	Loss: 0.1388	LR: 0.004000
Training Epoch: 30 [4608/10284]	Loss: 0.0854	LR: 0.004000
Training Epoch: 30 [4864/10284]	Loss: 0.1194	LR: 0.004000
Training Epoch: 30 [5120/10284]	Loss: 0.1078	LR: 0.004000
Training Epoch: 30 [5376/10284]	Loss: 0.1381	LR: 0.004000
Training Epoch: 30 [5632/10284]	Loss: 0.1669	LR: 0.004000
Training Epoch: 30 [5888/10284]	Loss: 0.1300	LR: 0.004000
Training Epoch: 30 [6144/10284]	Loss: 0.1254	LR: 0.004000
Training Epoch: 30 [6400/10284]	Loss: 0.1109	LR: 0.004000
Training Epoch: 30 [6656/10284]	Loss: 0.0994	LR: 0.004000
Training Epoch: 30 [6912/10284]	Loss: 0.1106	LR: 0.004000
Training Epoch: 30 [7168/10284]	Loss: 0.0915	LR: 0.004000
Training Epoch: 30 [7424/10284]	Loss: 0.1234	LR: 0.004000
Training Epoch: 30 [7680/10284]	Loss: 0.0994	LR: 0.004000
Training Epoch: 30 [7936/10284]	Loss: 0.1247	LR: 0.004000
Training Epoch: 30 [8192/10284]	Loss: 0.1236	LR: 0.004000
Training Epoch: 30 [8448/10284]	Loss: 0.1653	LR: 0.004000
Training Epoch: 30 [8704/10284]	Loss: 0.1076	LR: 0.004000
Training Epoch: 30 [8960/10284]	Loss: 0.1376	LR: 0.004000
Training Epoch: 30 [9216/10284]	Loss: 0.1215	LR: 0.004000
Training Epoch: 30 [9472/10284]	Loss: 0.0812	LR: 0.004000
Training Epoch: 30 [9728/10284]	Loss: 0.1400	LR: 0.004000
Training Epoch: 30 [9984/10284]	Loss: 0.1279	LR: 0.004000
Training Epoch: 30 [10240/10284]	Loss: 0.1024	LR: 0.004000
Training Epoch: 30 [10284/10284]	Loss: 0.2351	LR: 0.004000
Epoch 30 - Average Train Loss: 0.1161, Train Accuracy: 0.9520
Epoch 30 training time consumed: 149.24s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0005, Accuracy: 0.9496, Time consumed:8.17s
Training Epoch: 31 [256/10284]	Loss: 0.1163	LR: 0.004000
Training Epoch: 31 [512/10284]	Loss: 0.0929	LR: 0.004000
Training Epoch: 31 [768/10284]	Loss: 0.0902	LR: 0.004000
Training Epoch: 31 [1024/10284]	Loss: 0.1430	LR: 0.004000
Training Epoch: 31 [1280/10284]	Loss: 0.0988	LR: 0.004000
Training Epoch: 31 [1536/10284]	Loss: 0.1098	LR: 0.004000
Training Epoch: 31 [1792/10284]	Loss: 0.1381	LR: 0.004000
Training Epoch: 31 [2048/10284]	Loss: 0.1556	LR: 0.004000
Training Epoch: 31 [2304/10284]	Loss: 0.0958	LR: 0.004000
Training Epoch: 31 [2560/10284]	Loss: 0.1653	LR: 0.004000
Training Epoch: 31 [2816/10284]	Loss: 0.1299	LR: 0.004000
Training Epoch: 31 [3072/10284]	Loss: 0.1782	LR: 0.004000
Training Epoch: 31 [3328/10284]	Loss: 0.1206	LR: 0.004000
Training Epoch: 31 [3584/10284]	Loss: 0.0880	LR: 0.004000
Training Epoch: 31 [3840/10284]	Loss: 0.0995	LR: 0.004000
Training Epoch: 31 [4096/10284]	Loss: 0.1319	LR: 0.004000
Training Epoch: 31 [4352/10284]	Loss: 0.1414	LR: 0.004000
Training Epoch: 31 [4608/10284]	Loss: 0.1274	LR: 0.004000
Training Epoch: 31 [4864/10284]	Loss: 0.1296	LR: 0.004000
Training Epoch: 31 [5120/10284]	Loss: 0.1315	LR: 0.004000
Training Epoch: 31 [5376/10284]	Loss: 0.1218	LR: 0.004000
Training Epoch: 31 [5632/10284]	Loss: 0.1024	LR: 0.004000
Training Epoch: 31 [5888/10284]	Loss: 0.0913	LR: 0.004000
Training Epoch: 31 [6144/10284]	Loss: 0.0938	LR: 0.004000
Training Epoch: 31 [6400/10284]	Loss: 0.1106	LR: 0.004000
Training Epoch: 31 [6656/10284]	Loss: 0.1305	LR: 0.004000
Training Epoch: 31 [6912/10284]	Loss: 0.1169	LR: 0.004000
Training Epoch: 31 [7168/10284]	Loss: 0.1052	LR: 0.004000
Training Epoch: 31 [7424/10284]	Loss: 0.1510	LR: 0.004000
Training Epoch: 31 [7680/10284]	Loss: 0.1139	LR: 0.004000
Training Epoch: 31 [7936/10284]	Loss: 0.0768	LR: 0.004000
Training Epoch: 31 [8192/10284]	Loss: 0.0921	LR: 0.004000
Training Epoch: 31 [8448/10284]	Loss: 0.0839	LR: 0.004000
Training Epoch: 31 [8704/10284]	Loss: 0.0995	LR: 0.004000
Training Epoch: 31 [8960/10284]	Loss: 0.1442	LR: 0.004000
Training Epoch: 31 [9216/10284]	Loss: 0.1892	LR: 0.004000
Training Epoch: 31 [9472/10284]	Loss: 0.0804	LR: 0.004000
Training Epoch: 31 [9728/10284]	Loss: 0.1029	LR: 0.004000
Training Epoch: 31 [9984/10284]	Loss: 0.1096	LR: 0.004000
Training Epoch: 31 [10240/10284]	Loss: 0.1062	LR: 0.004000
Training Epoch: 31 [10284/10284]	Loss: 0.0587	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1174, Train Accuracy: 0.9535
Epoch 31 training time consumed: 151.01s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0005, Accuracy: 0.9487, Time consumed:8.22s
Valid (Test) Dl:  2065
Train Dl:  10548
Retain Train Dl:  10284
Forget Train Dl:  264
Retain Valid Dl:  10284
Forget Valid Dl:  264
retain_prob Distribution: 2065 samples
test_prob Distribution: 2065 samples
forget_prob Distribution: 264 samples
Set1 Distribution: 264 samples
Set2 Distribution: 264 samples
Set1 Distribution: 264 samples
Set2 Distribution: 264 samples
Set1 Distribution: 2065 samples
Set2 Distribution: 2065 samples
Set1 Distribution: 2065 samples
Set2 Distribution: 2065 samples
Test Accuracy: 95.39930725097656
Retain Accuracy: 95.46493530273438
Zero-Retain Forget (ZRF): 0.734052300453186
Membership Inference Attack (MIA): 0.2840909090909091
Forget vs Retain Membership Inference Attack (MIA): 0.4528301886792453
Forget vs Test Membership Inference Attack (MIA): 0.5471698113207547
Test vs Retain Membership Inference Attack (MIA): 0.4939467312348668
Train vs Test Membership Inference Attack (MIA): 0.5230024213075061
Forget Set Accuracy (Df): 97.265625
Method Execution Time: 6043.48 seconds
