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

📌 S Retain class distribution for seed 8:
Class 0: 5284
Class 1: 4210

📌 S Forget class distribution for seed 8:
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: 0.7207	LR: 0.000000
Training Epoch: 1 [512/10284]	Loss: 0.6796	LR: 0.002439
Training Epoch: 1 [768/10284]	Loss: 0.6841	LR: 0.004878
Training Epoch: 1 [1024/10284]	Loss: 0.6938	LR: 0.007317
Training Epoch: 1 [1280/10284]	Loss: 0.6751	LR: 0.009756
Training Epoch: 1 [1536/10284]	Loss: 0.7064	LR: 0.012195
Training Epoch: 1 [1792/10284]	Loss: 0.7433	LR: 0.014634
Training Epoch: 1 [2048/10284]	Loss: 0.6831	LR: 0.017073
Training Epoch: 1 [2304/10284]	Loss: 0.9459	LR: 0.019512
Training Epoch: 1 [2560/10284]	Loss: 0.9340	LR: 0.021951
Training Epoch: 1 [2816/10284]	Loss: 0.6939	LR: 0.024390
Training Epoch: 1 [3072/10284]	Loss: 1.2062	LR: 0.026829
Training Epoch: 1 [3328/10284]	Loss: 1.0689	LR: 0.029268
Training Epoch: 1 [3584/10284]	Loss: 0.8947	LR: 0.031707
Training Epoch: 1 [3840/10284]	Loss: 0.7466	LR: 0.034146
Training Epoch: 1 [4096/10284]	Loss: 1.2030	LR: 0.036585
Training Epoch: 1 [4352/10284]	Loss: 0.7326	LR: 0.039024
Training Epoch: 1 [4608/10284]	Loss: 0.7836	LR: 0.041463
Training Epoch: 1 [4864/10284]	Loss: 0.9043	LR: 0.043902
Training Epoch: 1 [5120/10284]	Loss: 1.0927	LR: 0.046341
Training Epoch: 1 [5376/10284]	Loss: 0.6841	LR: 0.048780
Training Epoch: 1 [5632/10284]	Loss: 0.9191	LR: 0.051220
Training Epoch: 1 [5888/10284]	Loss: 0.7369	LR: 0.053659
Training Epoch: 1 [6144/10284]	Loss: 1.0088	LR: 0.056098
Training Epoch: 1 [6400/10284]	Loss: 0.8209	LR: 0.058537
Training Epoch: 1 [6656/10284]	Loss: 0.6903	LR: 0.060976
Training Epoch: 1 [6912/10284]	Loss: 0.8951	LR: 0.063415
Training Epoch: 1 [7168/10284]	Loss: 0.7975	LR: 0.065854
Training Epoch: 1 [7424/10284]	Loss: 0.7197	LR: 0.068293
Training Epoch: 1 [7680/10284]	Loss: 0.8393	LR: 0.070732
Training Epoch: 1 [7936/10284]	Loss: 0.7653	LR: 0.073171
Training Epoch: 1 [8192/10284]	Loss: 0.6907	LR: 0.075610
Training Epoch: 1 [8448/10284]	Loss: 0.6973	LR: 0.078049
Training Epoch: 1 [8704/10284]	Loss: 0.7786	LR: 0.080488
Training Epoch: 1 [8960/10284]	Loss: 0.6819	LR: 0.082927
Training Epoch: 1 [9216/10284]	Loss: 0.6979	LR: 0.085366
Training Epoch: 1 [9472/10284]	Loss: 0.6852	LR: 0.087805
Training Epoch: 1 [9728/10284]	Loss: 0.6891	LR: 0.090244
Training Epoch: 1 [9984/10284]	Loss: 0.6577	LR: 0.092683
Training Epoch: 1 [10240/10284]	Loss: 0.6830	LR: 0.095122
Training Epoch: 1 [10284/10284]	Loss: 0.6552	LR: 0.097561
Epoch 1 - Average Train Loss: 0.7977, Train Accuracy: 0.5249
Epoch 1 training time consumed: 374.43s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0036, Accuracy: 0.4668, Time consumed:7.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_28_July_2025_00h_41m_08s/ResNet18-MUCAC-seed8-ret75-1-best.pth
Training Epoch: 2 [256/10284]	Loss: 1.1373	LR: 0.100000
Training Epoch: 2 [512/10284]	Loss: 0.7125	LR: 0.100000
Training Epoch: 2 [768/10284]	Loss: 0.7549	LR: 0.100000
Training Epoch: 2 [1024/10284]	Loss: 0.7853	LR: 0.100000
Training Epoch: 2 [1280/10284]	Loss: 0.7854	LR: 0.100000
Training Epoch: 2 [1536/10284]	Loss: 0.7697	LR: 0.100000
Training Epoch: 2 [1792/10284]	Loss: 0.7969	LR: 0.100000
Training Epoch: 2 [2048/10284]	Loss: 0.7828	LR: 0.100000
Training Epoch: 2 [2304/10284]	Loss: 0.7775	LR: 0.100000
Training Epoch: 2 [2560/10284]	Loss: 0.7473	LR: 0.100000
Training Epoch: 2 [2816/10284]	Loss: 0.8403	LR: 0.100000
Training Epoch: 2 [3072/10284]	Loss: 0.6968	LR: 0.100000
Training Epoch: 2 [3328/10284]	Loss: 0.7046	LR: 0.100000
Training Epoch: 2 [3584/10284]	Loss: 0.6776	LR: 0.100000
Training Epoch: 2 [3840/10284]	Loss: 0.7352	LR: 0.100000
Training Epoch: 2 [4096/10284]	Loss: 0.7220	LR: 0.100000
Training Epoch: 2 [4352/10284]	Loss: 0.6886	LR: 0.100000
Training Epoch: 2 [4608/10284]	Loss: 0.6867	LR: 0.100000
Training Epoch: 2 [4864/10284]	Loss: 0.6993	LR: 0.100000
Training Epoch: 2 [5120/10284]	Loss: 0.6822	LR: 0.100000
Training Epoch: 2 [5376/10284]	Loss: 0.7044	LR: 0.100000
Training Epoch: 2 [5632/10284]	Loss: 0.7179	LR: 0.100000
Training Epoch: 2 [5888/10284]	Loss: 0.6653	LR: 0.100000
Training Epoch: 2 [6144/10284]	Loss: 0.8004	LR: 0.100000
Training Epoch: 2 [6400/10284]	Loss: 0.7036	LR: 0.100000
Training Epoch: 2 [6656/10284]	Loss: 0.7092	LR: 0.100000
Training Epoch: 2 [6912/10284]	Loss: 0.6903	LR: 0.100000
Training Epoch: 2 [7168/10284]	Loss: 0.6842	LR: 0.100000
Training Epoch: 2 [7424/10284]	Loss: 0.7113	LR: 0.100000
Training Epoch: 2 [7680/10284]	Loss: 0.6846	LR: 0.100000
Training Epoch: 2 [7936/10284]	Loss: 0.6714	LR: 0.100000
Training Epoch: 2 [8192/10284]	Loss: 0.6700	LR: 0.100000
Training Epoch: 2 [8448/10284]	Loss: 0.6976	LR: 0.100000
Training Epoch: 2 [8704/10284]	Loss: 0.7038	LR: 0.100000
Training Epoch: 2 [8960/10284]	Loss: 0.6695	LR: 0.100000
Training Epoch: 2 [9216/10284]	Loss: 0.7125	LR: 0.100000
Training Epoch: 2 [9472/10284]	Loss: 0.6580	LR: 0.100000
Training Epoch: 2 [9728/10284]	Loss: 0.6842	LR: 0.100000
Training Epoch: 2 [9984/10284]	Loss: 0.6956	LR: 0.100000
Training Epoch: 2 [10240/10284]	Loss: 0.6740	LR: 0.100000
Training Epoch: 2 [10284/10284]	Loss: 0.6036	LR: 0.100000
Epoch 2 - Average Train Loss: 0.7267, Train Accuracy: 0.5484
Epoch 2 training time consumed: 153.46s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0030, Accuracy: 0.5797, Time consumed:8.26s
Saving weights file to checkpoint/retrain/ResNet18/Monday_28_July_2025_00h_41m_08s/ResNet18-MUCAC-seed8-ret75-2-best.pth
Training Epoch: 3 [256/10284]	Loss: 0.7234	LR: 0.100000
Training Epoch: 3 [512/10284]	Loss: 0.6955	LR: 0.100000
Training Epoch: 3 [768/10284]	Loss: 0.7108	LR: 0.100000
Training Epoch: 3 [1024/10284]	Loss: 0.6565	LR: 0.100000
Training Epoch: 3 [1280/10284]	Loss: 0.6967	LR: 0.100000
Training Epoch: 3 [1536/10284]	Loss: 0.6856	LR: 0.100000
Training Epoch: 3 [1792/10284]	Loss: 0.6674	LR: 0.100000
Training Epoch: 3 [2048/10284]	Loss: 0.6913	LR: 0.100000
Training Epoch: 3 [2304/10284]	Loss: 0.6948	LR: 0.100000
Training Epoch: 3 [2560/10284]	Loss: 0.6780	LR: 0.100000
Training Epoch: 3 [2816/10284]	Loss: 0.7099	LR: 0.100000
Training Epoch: 3 [3072/10284]	Loss: 0.7536	LR: 0.100000
Training Epoch: 3 [3328/10284]	Loss: 0.6970	LR: 0.100000
Training Epoch: 3 [3584/10284]	Loss: 0.6743	LR: 0.100000
Training Epoch: 3 [3840/10284]	Loss: 0.6866	LR: 0.100000
Training Epoch: 3 [4096/10284]	Loss: 0.7084	LR: 0.100000
Training Epoch: 3 [4352/10284]	Loss: 0.6897	LR: 0.100000
Training Epoch: 3 [4608/10284]	Loss: 0.6878	LR: 0.100000
Training Epoch: 3 [4864/10284]	Loss: 0.6914	LR: 0.100000
Training Epoch: 3 [5120/10284]	Loss: 0.6626	LR: 0.100000
Training Epoch: 3 [5376/10284]	Loss: 0.6697	LR: 0.100000
Training Epoch: 3 [5632/10284]	Loss: 0.6746	LR: 0.100000
Training Epoch: 3 [5888/10284]	Loss: 0.6775	LR: 0.100000
Training Epoch: 3 [6144/10284]	Loss: 0.6753	LR: 0.100000
Training Epoch: 3 [6400/10284]	Loss: 0.6918	LR: 0.100000
Training Epoch: 3 [6656/10284]	Loss: 0.7011	LR: 0.100000
Training Epoch: 3 [6912/10284]	Loss: 0.6765	LR: 0.100000
Training Epoch: 3 [7168/10284]	Loss: 0.6557	LR: 0.100000
Training Epoch: 3 [7424/10284]	Loss: 0.6679	LR: 0.100000
Training Epoch: 3 [7680/10284]	Loss: 0.6697	LR: 0.100000
Training Epoch: 3 [7936/10284]	Loss: 0.6553	LR: 0.100000
Training Epoch: 3 [8192/10284]	Loss: 0.6811	LR: 0.100000
Training Epoch: 3 [8448/10284]	Loss: 0.6583	LR: 0.100000
Training Epoch: 3 [8704/10284]	Loss: 0.6690	LR: 0.100000
Training Epoch: 3 [8960/10284]	Loss: 0.7510	LR: 0.100000
Training Epoch: 3 [9216/10284]	Loss: 0.7023	LR: 0.100000
Training Epoch: 3 [9472/10284]	Loss: 0.6723	LR: 0.100000
Training Epoch: 3 [9728/10284]	Loss: 0.6758	LR: 0.100000
Training Epoch: 3 [9984/10284]	Loss: 0.6688	LR: 0.100000
Training Epoch: 3 [10240/10284]	Loss: 0.6838	LR: 0.100000
Training Epoch: 3 [10284/10284]	Loss: 0.6885	LR: 0.100000
Epoch 3 - Average Train Loss: 0.6860, Train Accuracy: 0.5688
Epoch 3 training time consumed: 153.17s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0029, Accuracy: 0.5879, Time consumed:8.33s
Saving weights file to checkpoint/retrain/ResNet18/Monday_28_July_2025_00h_41m_08s/ResNet18-MUCAC-seed8-ret75-3-best.pth
Training Epoch: 4 [256/10284]	Loss: 0.7101	LR: 0.100000
Training Epoch: 4 [512/10284]	Loss: 0.6768	LR: 0.100000
Training Epoch: 4 [768/10284]	Loss: 0.6740	LR: 0.100000
Training Epoch: 4 [1024/10284]	Loss: 0.6982	LR: 0.100000
Training Epoch: 4 [1280/10284]	Loss: 0.6789	LR: 0.100000
Training Epoch: 4 [1536/10284]	Loss: 0.6965	LR: 0.100000
Training Epoch: 4 [1792/10284]	Loss: 0.6676	LR: 0.100000
Training Epoch: 4 [2048/10284]	Loss: 0.6702	LR: 0.100000
Training Epoch: 4 [2304/10284]	Loss: 0.6992	LR: 0.100000
Training Epoch: 4 [2560/10284]	Loss: 0.6671	LR: 0.100000
Training Epoch: 4 [2816/10284]	Loss: 0.6663	LR: 0.100000
Training Epoch: 4 [3072/10284]	Loss: 0.6842	LR: 0.100000
Training Epoch: 4 [3328/10284]	Loss: 0.6423	LR: 0.100000
Training Epoch: 4 [3584/10284]	Loss: 0.6775	LR: 0.100000
Training Epoch: 4 [3840/10284]	Loss: 0.6907	LR: 0.100000
Training Epoch: 4 [4096/10284]	Loss: 0.6690	LR: 0.100000
Training Epoch: 4 [4352/10284]	Loss: 0.6808	LR: 0.100000
Training Epoch: 4 [4608/10284]	Loss: 0.6806	LR: 0.100000
Training Epoch: 4 [4864/10284]	Loss: 0.6659	LR: 0.100000
Training Epoch: 4 [5120/10284]	Loss: 0.6397	LR: 0.100000
Training Epoch: 4 [5376/10284]	Loss: 0.6627	LR: 0.100000
Training Epoch: 4 [5632/10284]	Loss: 0.6456	LR: 0.100000
Training Epoch: 4 [5888/10284]	Loss: 0.6680	LR: 0.100000
Training Epoch: 4 [6144/10284]	Loss: 0.6895	LR: 0.100000
Training Epoch: 4 [6400/10284]	Loss: 0.6551	LR: 0.100000
Training Epoch: 4 [6656/10284]	Loss: 0.6834	LR: 0.100000
Training Epoch: 4 [6912/10284]	Loss: 0.6848	LR: 0.100000
Training Epoch: 4 [7168/10284]	Loss: 0.7104	LR: 0.100000
Training Epoch: 4 [7424/10284]	Loss: 0.6593	LR: 0.100000
Training Epoch: 4 [7680/10284]	Loss: 0.7192	LR: 0.100000
Training Epoch: 4 [7936/10284]	Loss: 0.6722	LR: 0.100000
Training Epoch: 4 [8192/10284]	Loss: 0.6747	LR: 0.100000
Training Epoch: 4 [8448/10284]	Loss: 0.6713	LR: 0.100000
Training Epoch: 4 [8704/10284]	Loss: 0.6797	LR: 0.100000
Training Epoch: 4 [8960/10284]	Loss: 0.6703	LR: 0.100000
Training Epoch: 4 [9216/10284]	Loss: 0.6678	LR: 0.100000
Training Epoch: 4 [9472/10284]	Loss: 0.6736	LR: 0.100000
Training Epoch: 4 [9728/10284]	Loss: 0.6819	LR: 0.100000
Training Epoch: 4 [9984/10284]	Loss: 0.6632	LR: 0.100000
Training Epoch: 4 [10240/10284]	Loss: 0.6455	LR: 0.100000
Training Epoch: 4 [10284/10284]	Loss: 0.6819	LR: 0.100000
Epoch 4 - Average Train Loss: 0.6754, Train Accuracy: 0.5886
Epoch 4 training time consumed: 153.03s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0029, Accuracy: 0.5690, Time consumed:8.24s
Training Epoch: 5 [256/10284]	Loss: 0.6737	LR: 0.100000
Training Epoch: 5 [512/10284]	Loss: 0.7257	LR: 0.100000
Training Epoch: 5 [768/10284]	Loss: 0.6534	LR: 0.100000
Training Epoch: 5 [1024/10284]	Loss: 0.6773	LR: 0.100000
Training Epoch: 5 [1280/10284]	Loss: 0.6586	LR: 0.100000
Training Epoch: 5 [1536/10284]	Loss: 0.6586	LR: 0.100000
Training Epoch: 5 [1792/10284]	Loss: 0.6730	LR: 0.100000
Training Epoch: 5 [2048/10284]	Loss: 0.6592	LR: 0.100000
Training Epoch: 5 [2304/10284]	Loss: 0.6827	LR: 0.100000
Training Epoch: 5 [2560/10284]	Loss: 0.6709	LR: 0.100000
Training Epoch: 5 [2816/10284]	Loss: 0.6628	LR: 0.100000
Training Epoch: 5 [3072/10284]	Loss: 0.6807	LR: 0.100000
Training Epoch: 5 [3328/10284]	Loss: 0.6317	LR: 0.100000
Training Epoch: 5 [3584/10284]	Loss: 0.6803	LR: 0.100000
Training Epoch: 5 [3840/10284]	Loss: 0.6412	LR: 0.100000
Training Epoch: 5 [4096/10284]	Loss: 0.6737	LR: 0.100000
Training Epoch: 5 [4352/10284]	Loss: 0.6413	LR: 0.100000
Training Epoch: 5 [4608/10284]	Loss: 0.6727	LR: 0.100000
Training Epoch: 5 [4864/10284]	Loss: 0.6614	LR: 0.100000
Training Epoch: 5 [5120/10284]	Loss: 0.6640	LR: 0.100000
Training Epoch: 5 [5376/10284]	Loss: 0.6426	LR: 0.100000
Training Epoch: 5 [5632/10284]	Loss: 0.6707	LR: 0.100000
Training Epoch: 5 [5888/10284]	Loss: 0.6641	LR: 0.100000
Training Epoch: 5 [6144/10284]	Loss: 0.6514	LR: 0.100000
Training Epoch: 5 [6400/10284]	Loss: 0.6904	LR: 0.100000
Training Epoch: 5 [6656/10284]	Loss: 0.6588	LR: 0.100000
Training Epoch: 5 [6912/10284]	Loss: 0.6706	LR: 0.100000
Training Epoch: 5 [7168/10284]	Loss: 0.6916	LR: 0.100000
Training Epoch: 5 [7424/10284]	Loss: 0.6982	LR: 0.100000
Training Epoch: 5 [7680/10284]	Loss: 0.6469	LR: 0.100000
Training Epoch: 5 [7936/10284]	Loss: 0.6764	LR: 0.100000
Training Epoch: 5 [8192/10284]	Loss: 0.7073	LR: 0.100000
Training Epoch: 5 [8448/10284]	Loss: 0.6539	LR: 0.100000
Training Epoch: 5 [8704/10284]	Loss: 0.6742	LR: 0.100000
Training Epoch: 5 [8960/10284]	Loss: 0.6487	LR: 0.100000
Training Epoch: 5 [9216/10284]	Loss: 0.6869	LR: 0.100000
Training Epoch: 5 [9472/10284]	Loss: 0.6959	LR: 0.100000
Training Epoch: 5 [9728/10284]	Loss: 0.6581	LR: 0.100000
Training Epoch: 5 [9984/10284]	Loss: 0.6568	LR: 0.100000
Training Epoch: 5 [10240/10284]	Loss: 0.6428	LR: 0.100000
Training Epoch: 5 [10284/10284]	Loss: 0.6705	LR: 0.100000
Epoch 5 - Average Train Loss: 0.6682, Train Accuracy: 0.5972
Epoch 5 training time consumed: 153.43s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0030, Accuracy: 0.5729, Time consumed:7.99s
Training Epoch: 6 [256/10284]	Loss: 0.6471	LR: 0.100000
Training Epoch: 6 [512/10284]	Loss: 0.6729	LR: 0.100000
Training Epoch: 6 [768/10284]	Loss: 0.6737	LR: 0.100000
Training Epoch: 6 [1024/10284]	Loss: 0.6945	LR: 0.100000
Training Epoch: 6 [1280/10284]	Loss: 0.6663	LR: 0.100000
Training Epoch: 6 [1536/10284]	Loss: 0.6938	LR: 0.100000
Training Epoch: 6 [1792/10284]	Loss: 0.6632	LR: 0.100000
Training Epoch: 6 [2048/10284]	Loss: 0.6442	LR: 0.100000
Training Epoch: 6 [2304/10284]	Loss: 0.6569	LR: 0.100000
Training Epoch: 6 [2560/10284]	Loss: 0.7140	LR: 0.100000
Training Epoch: 6 [2816/10284]	Loss: 0.6555	LR: 0.100000
Training Epoch: 6 [3072/10284]	Loss: 0.6422	LR: 0.100000
Training Epoch: 6 [3328/10284]	Loss: 0.6786	LR: 0.100000
Training Epoch: 6 [3584/10284]	Loss: 0.6947	LR: 0.100000
Training Epoch: 6 [3840/10284]	Loss: 0.6720	LR: 0.100000
Training Epoch: 6 [4096/10284]	Loss: 0.6552	LR: 0.100000
Training Epoch: 6 [4352/10284]	Loss: 0.6574	LR: 0.100000
Training Epoch: 6 [4608/10284]	Loss: 0.6657	LR: 0.100000
Training Epoch: 6 [4864/10284]	Loss: 0.6619	LR: 0.100000
Training Epoch: 6 [5120/10284]	Loss: 0.6794	LR: 0.100000
Training Epoch: 6 [5376/10284]	Loss: 0.6521	LR: 0.100000
Training Epoch: 6 [5632/10284]	Loss: 0.6827	LR: 0.100000
Training Epoch: 6 [5888/10284]	Loss: 0.6758	LR: 0.100000
Training Epoch: 6 [6144/10284]	Loss: 0.6719	LR: 0.100000
Training Epoch: 6 [6400/10284]	Loss: 0.6769	LR: 0.100000
Training Epoch: 6 [6656/10284]	Loss: 0.6754	LR: 0.100000
Training Epoch: 6 [6912/10284]	Loss: 0.6710	LR: 0.100000
Training Epoch: 6 [7168/10284]	Loss: 0.6582	LR: 0.100000
Training Epoch: 6 [7424/10284]	Loss: 0.6767	LR: 0.100000
Training Epoch: 6 [7680/10284]	Loss: 0.6946	LR: 0.100000
Training Epoch: 6 [7936/10284]	Loss: 0.6657	LR: 0.100000
Training Epoch: 6 [8192/10284]	Loss: 0.6255	LR: 0.100000
Training Epoch: 6 [8448/10284]	Loss: 0.6413	LR: 0.100000
Training Epoch: 6 [8704/10284]	Loss: 0.6411	LR: 0.100000
Training Epoch: 6 [8960/10284]	Loss: 0.6533	LR: 0.100000
Training Epoch: 6 [9216/10284]	Loss: 0.6248	LR: 0.100000
Training Epoch: 6 [9472/10284]	Loss: 0.6279	LR: 0.100000
Training Epoch: 6 [9728/10284]	Loss: 0.6255	LR: 0.100000
Training Epoch: 6 [9984/10284]	Loss: 0.6279	LR: 0.100000
Training Epoch: 6 [10240/10284]	Loss: 0.6722	LR: 0.100000
Training Epoch: 6 [10284/10284]	Loss: 0.7018	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6634, Train Accuracy: 0.6024
Epoch 6 training time consumed: 153.51s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0030, Accuracy: 0.5927, Time consumed:8.22s
Saving weights file to checkpoint/retrain/ResNet18/Monday_28_July_2025_00h_41m_08s/ResNet18-MUCAC-seed8-ret75-6-best.pth
Training Epoch: 7 [256/10284]	Loss: 0.6774	LR: 0.100000
Training Epoch: 7 [512/10284]	Loss: 0.6826	LR: 0.100000
Training Epoch: 7 [768/10284]	Loss: 0.6710	LR: 0.100000
Training Epoch: 7 [1024/10284]	Loss: 0.6712	LR: 0.100000
Training Epoch: 7 [1280/10284]	Loss: 0.6806	LR: 0.100000
Training Epoch: 7 [1536/10284]	Loss: 0.6674	LR: 0.100000
Training Epoch: 7 [1792/10284]	Loss: 0.6217	LR: 0.100000
Training Epoch: 7 [2048/10284]	Loss: 0.6312	LR: 0.100000
Training Epoch: 7 [2304/10284]	Loss: 0.6417	LR: 0.100000
Training Epoch: 7 [2560/10284]	Loss: 0.6295	LR: 0.100000
Training Epoch: 7 [2816/10284]	Loss: 0.5999	LR: 0.100000
Training Epoch: 7 [3072/10284]	Loss: 0.6136	LR: 0.100000
Training Epoch: 7 [3328/10284]	Loss: 0.6337	LR: 0.100000
Training Epoch: 7 [3584/10284]	Loss: 0.6646	LR: 0.100000
Training Epoch: 7 [3840/10284]	Loss: 0.6506	LR: 0.100000
Training Epoch: 7 [4096/10284]	Loss: 0.6025	LR: 0.100000
Training Epoch: 7 [4352/10284]	Loss: 0.6792	LR: 0.100000
Training Epoch: 7 [4608/10284]	Loss: 0.6066	LR: 0.100000
Training Epoch: 7 [4864/10284]	Loss: 0.6178	LR: 0.100000
Training Epoch: 7 [5120/10284]	Loss: 0.6378	LR: 0.100000
Training Epoch: 7 [5376/10284]	Loss: 0.6580	LR: 0.100000
Training Epoch: 7 [5632/10284]	Loss: 0.6182	LR: 0.100000
Training Epoch: 7 [5888/10284]	Loss: 0.5839	LR: 0.100000
Training Epoch: 7 [6144/10284]	Loss: 0.6129	LR: 0.100000
Training Epoch: 7 [6400/10284]	Loss: 0.6046	LR: 0.100000
Training Epoch: 7 [6656/10284]	Loss: 0.6077	LR: 0.100000
Training Epoch: 7 [6912/10284]	Loss: 0.6045	LR: 0.100000
Training Epoch: 7 [7168/10284]	Loss: 0.6143	LR: 0.100000
Training Epoch: 7 [7424/10284]	Loss: 0.6289	LR: 0.100000
Training Epoch: 7 [7680/10284]	Loss: 0.6218	LR: 0.100000
Training Epoch: 7 [7936/10284]	Loss: 0.6206	LR: 0.100000
Training Epoch: 7 [8192/10284]	Loss: 0.6013	LR: 0.100000
Training Epoch: 7 [8448/10284]	Loss: 0.6451	LR: 0.100000
Training Epoch: 7 [8704/10284]	Loss: 0.6038	LR: 0.100000
Training Epoch: 7 [8960/10284]	Loss: 0.6239	LR: 0.100000
Training Epoch: 7 [9216/10284]	Loss: 0.5709	LR: 0.100000
Training Epoch: 7 [9472/10284]	Loss: 0.6008	LR: 0.100000
Training Epoch: 7 [9728/10284]	Loss: 0.6189	LR: 0.100000
Training Epoch: 7 [9984/10284]	Loss: 0.5790	LR: 0.100000
Training Epoch: 7 [10240/10284]	Loss: 0.5732	LR: 0.100000
Training Epoch: 7 [10284/10284]	Loss: 0.6428	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6269, Train Accuracy: 0.6470
Epoch 7 training time consumed: 153.29s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.7085, Time consumed:8.32s
Saving weights file to checkpoint/retrain/ResNet18/Monday_28_July_2025_00h_41m_08s/ResNet18-MUCAC-seed8-ret75-7-best.pth
Training Epoch: 8 [256/10284]	Loss: 0.5826	LR: 0.100000
Training Epoch: 8 [512/10284]	Loss: 0.5731	LR: 0.100000
Training Epoch: 8 [768/10284]	Loss: 0.6127	LR: 0.100000
Training Epoch: 8 [1024/10284]	Loss: 0.5417	LR: 0.100000
Training Epoch: 8 [1280/10284]	Loss: 0.5950	LR: 0.100000
Training Epoch: 8 [1536/10284]	Loss: 0.6320	LR: 0.100000
Training Epoch: 8 [1792/10284]	Loss: 0.5846	LR: 0.100000
Training Epoch: 8 [2048/10284]	Loss: 0.5869	LR: 0.100000
Training Epoch: 8 [2304/10284]	Loss: 0.5609	LR: 0.100000
Training Epoch: 8 [2560/10284]	Loss: 0.5923	LR: 0.100000
Training Epoch: 8 [2816/10284]	Loss: 0.5625	LR: 0.100000
Training Epoch: 8 [3072/10284]	Loss: 0.5318	LR: 0.100000
Training Epoch: 8 [3328/10284]	Loss: 0.6131	LR: 0.100000
Training Epoch: 8 [3584/10284]	Loss: 0.5646	LR: 0.100000
Training Epoch: 8 [3840/10284]	Loss: 0.6029	LR: 0.100000
Training Epoch: 8 [4096/10284]	Loss: 0.5573	LR: 0.100000
Training Epoch: 8 [4352/10284]	Loss: 0.5381	LR: 0.100000
Training Epoch: 8 [4608/10284]	Loss: 0.5994	LR: 0.100000
Training Epoch: 8 [4864/10284]	Loss: 0.6043	LR: 0.100000
Training Epoch: 8 [5120/10284]	Loss: 0.5844	LR: 0.100000
Training Epoch: 8 [5376/10284]	Loss: 0.5682	LR: 0.100000
Training Epoch: 8 [5632/10284]	Loss: 0.5312	LR: 0.100000
Training Epoch: 8 [5888/10284]	Loss: 0.5050	LR: 0.100000
Training Epoch: 8 [6144/10284]	Loss: 0.6318	LR: 0.100000
Training Epoch: 8 [6400/10284]	Loss: 0.5808	LR: 0.100000
Training Epoch: 8 [6656/10284]	Loss: 0.5929	LR: 0.100000
Training Epoch: 8 [6912/10284]	Loss: 0.5429	LR: 0.100000
Training Epoch: 8 [7168/10284]	Loss: 0.5414	LR: 0.100000
Training Epoch: 8 [7424/10284]	Loss: 0.5067	LR: 0.100000
Training Epoch: 8 [7680/10284]	Loss: 0.5312	LR: 0.100000
Training Epoch: 8 [7936/10284]	Loss: 0.6085	LR: 0.100000
Training Epoch: 8 [8192/10284]	Loss: 0.5520	LR: 0.100000
Training Epoch: 8 [8448/10284]	Loss: 0.5780	LR: 0.100000
Training Epoch: 8 [8704/10284]	Loss: 0.5851	LR: 0.100000
Training Epoch: 8 [8960/10284]	Loss: 0.5636	LR: 0.100000
Training Epoch: 8 [9216/10284]	Loss: 0.5387	LR: 0.100000
Training Epoch: 8 [9472/10284]	Loss: 0.5566	LR: 0.100000
Training Epoch: 8 [9728/10284]	Loss: 0.5072	LR: 0.100000
Training Epoch: 8 [9984/10284]	Loss: 0.5555	LR: 0.100000
Training Epoch: 8 [10240/10284]	Loss: 0.5329	LR: 0.100000
Training Epoch: 8 [10284/10284]	Loss: 0.5910	LR: 0.100000
Epoch 8 - Average Train Loss: 0.5683, Train Accuracy: 0.7084
Epoch 8 training time consumed: 151.66s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0026, Accuracy: 0.6857, Time consumed:8.16s
Training Epoch: 9 [256/10284]	Loss: 0.4764	LR: 0.100000
Training Epoch: 9 [512/10284]	Loss: 0.5374	LR: 0.100000
Training Epoch: 9 [768/10284]	Loss: 0.5742	LR: 0.100000
Training Epoch: 9 [1024/10284]	Loss: 0.5448	LR: 0.100000
Training Epoch: 9 [1280/10284]	Loss: 0.5275	LR: 0.100000
Training Epoch: 9 [1536/10284]	Loss: 0.5426	LR: 0.100000
Training Epoch: 9 [1792/10284]	Loss: 0.5425	LR: 0.100000
Training Epoch: 9 [2048/10284]	Loss: 0.5463	LR: 0.100000
Training Epoch: 9 [2304/10284]	Loss: 0.5591	LR: 0.100000
Training Epoch: 9 [2560/10284]	Loss: 0.5320	LR: 0.100000
Training Epoch: 9 [2816/10284]	Loss: 0.6172	LR: 0.100000
Training Epoch: 9 [3072/10284]	Loss: 0.5715	LR: 0.100000
Training Epoch: 9 [3328/10284]	Loss: 0.5462	LR: 0.100000
Training Epoch: 9 [3584/10284]	Loss: 0.5248	LR: 0.100000
Training Epoch: 9 [3840/10284]	Loss: 0.6091	LR: 0.100000
Training Epoch: 9 [4096/10284]	Loss: 0.6179	LR: 0.100000
Training Epoch: 9 [4352/10284]	Loss: 0.6012	LR: 0.100000
Training Epoch: 9 [4608/10284]	Loss: 0.6473	LR: 0.100000
Training Epoch: 9 [4864/10284]	Loss: 0.6620	LR: 0.100000
Training Epoch: 9 [5120/10284]	Loss: 0.6256	LR: 0.100000
Training Epoch: 9 [5376/10284]	Loss: 0.6302	LR: 0.100000
Training Epoch: 9 [5632/10284]	Loss: 0.4938	LR: 0.100000
Training Epoch: 9 [5888/10284]	Loss: 0.5387	LR: 0.100000
Training Epoch: 9 [6144/10284]	Loss: 0.4692	LR: 0.100000
Training Epoch: 9 [6400/10284]	Loss: 0.5137	LR: 0.100000
Training Epoch: 9 [6656/10284]	Loss: 0.5558	LR: 0.100000
Training Epoch: 9 [6912/10284]	Loss: 0.5169	LR: 0.100000
Training Epoch: 9 [7168/10284]	Loss: 0.4894	LR: 0.100000
Training Epoch: 9 [7424/10284]	Loss: 0.4873	LR: 0.100000
Training Epoch: 9 [7680/10284]	Loss: 0.4655	LR: 0.100000
Training Epoch: 9 [7936/10284]	Loss: 0.4831	LR: 0.100000
Training Epoch: 9 [8192/10284]	Loss: 0.4993	LR: 0.100000
Training Epoch: 9 [8448/10284]	Loss: 0.5079	LR: 0.100000
Training Epoch: 9 [8704/10284]	Loss: 0.4673	LR: 0.100000
Training Epoch: 9 [8960/10284]	Loss: 0.4375	LR: 0.100000
Training Epoch: 9 [9216/10284]	Loss: 0.5521	LR: 0.100000
Training Epoch: 9 [9472/10284]	Loss: 0.4923	LR: 0.100000
Training Epoch: 9 [9728/10284]	Loss: 0.4149	LR: 0.100000
Training Epoch: 9 [9984/10284]	Loss: 0.5809	LR: 0.100000
Training Epoch: 9 [10240/10284]	Loss: 0.5553	LR: 0.100000
Training Epoch: 9 [10284/10284]	Loss: 0.4123	LR: 0.100000
Epoch 9 - Average Train Loss: 0.5384, Train Accuracy: 0.7392
Epoch 9 training time consumed: 151.13s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0056, Accuracy: 0.5540, Time consumed:8.39s
Training Epoch: 10 [256/10284]	Loss: 0.5652	LR: 0.020000
Training Epoch: 10 [512/10284]	Loss: 0.5220	LR: 0.020000
Training Epoch: 10 [768/10284]	Loss: 0.5287	LR: 0.020000
Training Epoch: 10 [1024/10284]	Loss: 0.5292	LR: 0.020000
Training Epoch: 10 [1280/10284]	Loss: 0.4269	LR: 0.020000
Training Epoch: 10 [1536/10284]	Loss: 0.4435	LR: 0.020000
Training Epoch: 10 [1792/10284]	Loss: 0.4582	LR: 0.020000
Training Epoch: 10 [2048/10284]	Loss: 0.4730	LR: 0.020000
Training Epoch: 10 [2304/10284]	Loss: 0.4346	LR: 0.020000
Training Epoch: 10 [2560/10284]	Loss: 0.4208	LR: 0.020000
Training Epoch: 10 [2816/10284]	Loss: 0.4814	LR: 0.020000
Training Epoch: 10 [3072/10284]	Loss: 0.4397	LR: 0.020000
Training Epoch: 10 [3328/10284]	Loss: 0.4491	LR: 0.020000
Training Epoch: 10 [3584/10284]	Loss: 0.4960	LR: 0.020000
Training Epoch: 10 [3840/10284]	Loss: 0.4642	LR: 0.020000
Training Epoch: 10 [4096/10284]	Loss: 0.4317	LR: 0.020000
Training Epoch: 10 [4352/10284]	Loss: 0.4111	LR: 0.020000
Training Epoch: 10 [4608/10284]	Loss: 0.4877	LR: 0.020000
Training Epoch: 10 [4864/10284]	Loss: 0.4295	LR: 0.020000
Training Epoch: 10 [5120/10284]	Loss: 0.3908	LR: 0.020000
Training Epoch: 10 [5376/10284]	Loss: 0.4479	LR: 0.020000
Training Epoch: 10 [5632/10284]	Loss: 0.4989	LR: 0.020000
Training Epoch: 10 [5888/10284]	Loss: 0.4862	LR: 0.020000
Training Epoch: 10 [6144/10284]	Loss: 0.3807	LR: 0.020000
Training Epoch: 10 [6400/10284]	Loss: 0.4205	LR: 0.020000
Training Epoch: 10 [6656/10284]	Loss: 0.4162	LR: 0.020000
Training Epoch: 10 [6912/10284]	Loss: 0.3806	LR: 0.020000
Training Epoch: 10 [7168/10284]	Loss: 0.4239	LR: 0.020000
Training Epoch: 10 [7424/10284]	Loss: 0.4019	LR: 0.020000
Training Epoch: 10 [7680/10284]	Loss: 0.4810	LR: 0.020000
Training Epoch: 10 [7936/10284]	Loss: 0.3701	LR: 0.020000
Training Epoch: 10 [8192/10284]	Loss: 0.4191	LR: 0.020000
Training Epoch: 10 [8448/10284]	Loss: 0.4341	LR: 0.020000
Training Epoch: 10 [8704/10284]	Loss: 0.4007	LR: 0.020000
Training Epoch: 10 [8960/10284]	Loss: 0.4229	LR: 0.020000
Training Epoch: 10 [9216/10284]	Loss: 0.3805	LR: 0.020000
Training Epoch: 10 [9472/10284]	Loss: 0.4225	LR: 0.020000
Training Epoch: 10 [9728/10284]	Loss: 0.4691	LR: 0.020000
Training Epoch: 10 [9984/10284]	Loss: 0.3946	LR: 0.020000
Training Epoch: 10 [10240/10284]	Loss: 0.4418	LR: 0.020000
Training Epoch: 10 [10284/10284]	Loss: 0.4003	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4442, Train Accuracy: 0.7963
Epoch 10 training time consumed: 151.11s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8460, Time consumed:8.14s
Saving weights file to checkpoint/retrain/ResNet18/Monday_28_July_2025_00h_41m_08s/ResNet18-MUCAC-seed8-ret75-10-best.pth
Training Epoch: 11 [256/10284]	Loss: 0.4104	LR: 0.020000
Training Epoch: 11 [512/10284]	Loss: 0.4240	LR: 0.020000
Training Epoch: 11 [768/10284]	Loss: 0.4565	LR: 0.020000
Training Epoch: 11 [1024/10284]	Loss: 0.4497	LR: 0.020000
Training Epoch: 11 [1280/10284]	Loss: 0.4028	LR: 0.020000
Training Epoch: 11 [1536/10284]	Loss: 0.4012	LR: 0.020000
Training Epoch: 11 [1792/10284]	Loss: 0.4391	LR: 0.020000
Training Epoch: 11 [2048/10284]	Loss: 0.3790	LR: 0.020000
Training Epoch: 11 [2304/10284]	Loss: 0.3741	LR: 0.020000
Training Epoch: 11 [2560/10284]	Loss: 0.4573	LR: 0.020000
Training Epoch: 11 [2816/10284]	Loss: 0.3710	LR: 0.020000
Training Epoch: 11 [3072/10284]	Loss: 0.4359	LR: 0.020000
Training Epoch: 11 [3328/10284]	Loss: 0.3839	LR: 0.020000
Training Epoch: 11 [3584/10284]	Loss: 0.4364	LR: 0.020000
Training Epoch: 11 [3840/10284]	Loss: 0.4630	LR: 0.020000
Training Epoch: 11 [4096/10284]	Loss: 0.3366	LR: 0.020000
Training Epoch: 11 [4352/10284]	Loss: 0.3579	LR: 0.020000
Training Epoch: 11 [4608/10284]	Loss: 0.4028	LR: 0.020000
Training Epoch: 11 [4864/10284]	Loss: 0.3496	LR: 0.020000
Training Epoch: 11 [5120/10284]	Loss: 0.4429	LR: 0.020000
Training Epoch: 11 [5376/10284]	Loss: 0.4253	LR: 0.020000
Training Epoch: 11 [5632/10284]	Loss: 0.4142	LR: 0.020000
Training Epoch: 11 [5888/10284]	Loss: 0.3687	LR: 0.020000
Training Epoch: 11 [6144/10284]	Loss: 0.4218	LR: 0.020000
Training Epoch: 11 [6400/10284]	Loss: 0.4608	LR: 0.020000
Training Epoch: 11 [6656/10284]	Loss: 0.3667	LR: 0.020000
Training Epoch: 11 [6912/10284]	Loss: 0.4138	LR: 0.020000
Training Epoch: 11 [7168/10284]	Loss: 0.3758	LR: 0.020000
Training Epoch: 11 [7424/10284]	Loss: 0.4194	LR: 0.020000
Training Epoch: 11 [7680/10284]	Loss: 0.3924	LR: 0.020000
Training Epoch: 11 [7936/10284]	Loss: 0.3924	LR: 0.020000
Training Epoch: 11 [8192/10284]	Loss: 0.4273	LR: 0.020000
Training Epoch: 11 [8448/10284]	Loss: 0.4321	LR: 0.020000
Training Epoch: 11 [8704/10284]	Loss: 0.3786	LR: 0.020000
Training Epoch: 11 [8960/10284]	Loss: 0.3815	LR: 0.020000
Training Epoch: 11 [9216/10284]	Loss: 0.3618	LR: 0.020000
Training Epoch: 11 [9472/10284]	Loss: 0.4189	LR: 0.020000
Training Epoch: 11 [9728/10284]	Loss: 0.4553	LR: 0.020000
Training Epoch: 11 [9984/10284]	Loss: 0.3877	LR: 0.020000
Training Epoch: 11 [10240/10284]	Loss: 0.3447	LR: 0.020000
Training Epoch: 11 [10284/10284]	Loss: 0.3361	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4050, Train Accuracy: 0.8157
Epoch 11 training time consumed: 151.94s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8528, Time consumed:7.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_28_July_2025_00h_41m_08s/ResNet18-MUCAC-seed8-ret75-11-best.pth
Training Epoch: 12 [256/10284]	Loss: 0.4591	LR: 0.020000
Training Epoch: 12 [512/10284]	Loss: 0.4014	LR: 0.020000
Training Epoch: 12 [768/10284]	Loss: 0.3581	LR: 0.020000
Training Epoch: 12 [1024/10284]	Loss: 0.4278	LR: 0.020000
Training Epoch: 12 [1280/10284]	Loss: 0.3787	LR: 0.020000
Training Epoch: 12 [1536/10284]	Loss: 0.4109	LR: 0.020000
Training Epoch: 12 [1792/10284]	Loss: 0.3463	LR: 0.020000
Training Epoch: 12 [2048/10284]	Loss: 0.3406	LR: 0.020000
Training Epoch: 12 [2304/10284]	Loss: 0.3827	LR: 0.020000
Training Epoch: 12 [2560/10284]	Loss: 0.3689	LR: 0.020000
Training Epoch: 12 [2816/10284]	Loss: 0.4706	LR: 0.020000
Training Epoch: 12 [3072/10284]	Loss: 0.4561	LR: 0.020000
Training Epoch: 12 [3328/10284]	Loss: 0.3898	LR: 0.020000
Training Epoch: 12 [3584/10284]	Loss: 0.4421	LR: 0.020000
Training Epoch: 12 [3840/10284]	Loss: 0.3458	LR: 0.020000
Training Epoch: 12 [4096/10284]	Loss: 0.3632	LR: 0.020000
Training Epoch: 12 [4352/10284]	Loss: 0.4643	LR: 0.020000
Training Epoch: 12 [4608/10284]	Loss: 0.4182	LR: 0.020000
Training Epoch: 12 [4864/10284]	Loss: 0.4156	LR: 0.020000
Training Epoch: 12 [5120/10284]	Loss: 0.3689	LR: 0.020000
Training Epoch: 12 [5376/10284]	Loss: 0.3674	LR: 0.020000
Training Epoch: 12 [5632/10284]	Loss: 0.3294	LR: 0.020000
Training Epoch: 12 [5888/10284]	Loss: 0.3979	LR: 0.020000
Training Epoch: 12 [6144/10284]	Loss: 0.4362	LR: 0.020000
Training Epoch: 12 [6400/10284]	Loss: 0.3672	LR: 0.020000
Training Epoch: 12 [6656/10284]	Loss: 0.3269	LR: 0.020000
Training Epoch: 12 [6912/10284]	Loss: 0.3716	LR: 0.020000
Training Epoch: 12 [7168/10284]	Loss: 0.3743	LR: 0.020000
Training Epoch: 12 [7424/10284]	Loss: 0.3843	LR: 0.020000
Training Epoch: 12 [7680/10284]	Loss: 0.3819	LR: 0.020000
Training Epoch: 12 [7936/10284]	Loss: 0.3073	LR: 0.020000
Training Epoch: 12 [8192/10284]	Loss: 0.3633	LR: 0.020000
Training Epoch: 12 [8448/10284]	Loss: 0.4325	LR: 0.020000
Training Epoch: 12 [8704/10284]	Loss: 0.2866	LR: 0.020000
Training Epoch: 12 [8960/10284]	Loss: 0.3304	LR: 0.020000
Training Epoch: 12 [9216/10284]	Loss: 0.4022	LR: 0.020000
Training Epoch: 12 [9472/10284]	Loss: 0.3070	LR: 0.020000
Training Epoch: 12 [9728/10284]	Loss: 0.4081	LR: 0.020000
Training Epoch: 12 [9984/10284]	Loss: 0.3101	LR: 0.020000
Training Epoch: 12 [10240/10284]	Loss: 0.4282	LR: 0.020000
Training Epoch: 12 [10284/10284]	Loss: 0.2722	LR: 0.020000
Epoch 12 - Average Train Loss: 0.3826, Train Accuracy: 0.8291
Epoch 12 training time consumed: 151.41s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0018, Accuracy: 0.8329, Time consumed:8.09s
Training Epoch: 13 [256/10284]	Loss: 0.3693	LR: 0.020000
Training Epoch: 13 [512/10284]	Loss: 0.3845	LR: 0.020000
Training Epoch: 13 [768/10284]	Loss: 0.3854	LR: 0.020000
Training Epoch: 13 [1024/10284]	Loss: 0.3422	LR: 0.020000
Training Epoch: 13 [1280/10284]	Loss: 0.3414	LR: 0.020000
Training Epoch: 13 [1536/10284]	Loss: 0.3055	LR: 0.020000
Training Epoch: 13 [1792/10284]	Loss: 0.3448	LR: 0.020000
Training Epoch: 13 [2048/10284]	Loss: 0.3593	LR: 0.020000
Training Epoch: 13 [2304/10284]	Loss: 0.4076	LR: 0.020000
Training Epoch: 13 [2560/10284]	Loss: 0.2762	LR: 0.020000
Training Epoch: 13 [2816/10284]	Loss: 0.3577	LR: 0.020000
Training Epoch: 13 [3072/10284]	Loss: 0.3950	LR: 0.020000
Training Epoch: 13 [3328/10284]	Loss: 0.3940	LR: 0.020000
Training Epoch: 13 [3584/10284]	Loss: 0.3632	LR: 0.020000
Training Epoch: 13 [3840/10284]	Loss: 0.3903	LR: 0.020000
Training Epoch: 13 [4096/10284]	Loss: 0.3298	LR: 0.020000
Training Epoch: 13 [4352/10284]	Loss: 0.3313	LR: 0.020000
Training Epoch: 13 [4608/10284]	Loss: 0.3432	LR: 0.020000
Training Epoch: 13 [4864/10284]	Loss: 0.3734	LR: 0.020000
Training Epoch: 13 [5120/10284]	Loss: 0.3136	LR: 0.020000
Training Epoch: 13 [5376/10284]	Loss: 0.3547	LR: 0.020000
Training Epoch: 13 [5632/10284]	Loss: 0.3434	LR: 0.020000
Training Epoch: 13 [5888/10284]	Loss: 0.3086	LR: 0.020000
Training Epoch: 13 [6144/10284]	Loss: 0.3810	LR: 0.020000
Training Epoch: 13 [6400/10284]	Loss: 0.3992	LR: 0.020000
Training Epoch: 13 [6656/10284]	Loss: 0.3876	LR: 0.020000
Training Epoch: 13 [6912/10284]	Loss: 0.3521	LR: 0.020000
Training Epoch: 13 [7168/10284]	Loss: 0.2769	LR: 0.020000
Training Epoch: 13 [7424/10284]	Loss: 0.3975	LR: 0.020000
Training Epoch: 13 [7680/10284]	Loss: 0.3206	LR: 0.020000
Training Epoch: 13 [7936/10284]	Loss: 0.3242	LR: 0.020000
Training Epoch: 13 [8192/10284]	Loss: 0.2905	LR: 0.020000
Training Epoch: 13 [8448/10284]	Loss: 0.3022	LR: 0.020000
Training Epoch: 13 [8704/10284]	Loss: 0.2544	LR: 0.020000
Training Epoch: 13 [8960/10284]	Loss: 0.3198	LR: 0.020000
Training Epoch: 13 [9216/10284]	Loss: 0.3530	LR: 0.020000
Training Epoch: 13 [9472/10284]	Loss: 0.3699	LR: 0.020000
Training Epoch: 13 [9728/10284]	Loss: 0.3566	LR: 0.020000
Training Epoch: 13 [9984/10284]	Loss: 0.3975	LR: 0.020000
Training Epoch: 13 [10240/10284]	Loss: 0.4672	LR: 0.020000
Training Epoch: 13 [10284/10284]	Loss: 0.3069	LR: 0.020000
Epoch 13 - Average Train Loss: 0.3514, Train Accuracy: 0.8486
Epoch 13 training time consumed: 151.27s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0017, Accuracy: 0.8358, Time consumed:8.10s
Training Epoch: 14 [256/10284]	Loss: 0.4858	LR: 0.020000
Training Epoch: 14 [512/10284]	Loss: 0.2506	LR: 0.020000
Training Epoch: 14 [768/10284]	Loss: 0.3525	LR: 0.020000
Training Epoch: 14 [1024/10284]	Loss: 0.3997	LR: 0.020000
Training Epoch: 14 [1280/10284]	Loss: 0.3443	LR: 0.020000
Training Epoch: 14 [1536/10284]	Loss: 0.3546	LR: 0.020000
Training Epoch: 14 [1792/10284]	Loss: 0.3451	LR: 0.020000
Training Epoch: 14 [2048/10284]	Loss: 0.4024	LR: 0.020000
Training Epoch: 14 [2304/10284]	Loss: 0.3499	LR: 0.020000
Training Epoch: 14 [2560/10284]	Loss: 0.3885	LR: 0.020000
Training Epoch: 14 [2816/10284]	Loss: 0.3970	LR: 0.020000
Training Epoch: 14 [3072/10284]	Loss: 0.3377	LR: 0.020000
Training Epoch: 14 [3328/10284]	Loss: 0.3127	LR: 0.020000
Training Epoch: 14 [3584/10284]	Loss: 0.3740	LR: 0.020000
Training Epoch: 14 [3840/10284]	Loss: 0.3102	LR: 0.020000
Training Epoch: 14 [4096/10284]	Loss: 0.3334	LR: 0.020000
Training Epoch: 14 [4352/10284]	Loss: 0.3440	LR: 0.020000
Training Epoch: 14 [4608/10284]	Loss: 0.3561	LR: 0.020000
Training Epoch: 14 [4864/10284]	Loss: 0.3568	LR: 0.020000
Training Epoch: 14 [5120/10284]	Loss: 0.3228	LR: 0.020000
Training Epoch: 14 [5376/10284]	Loss: 0.3554	LR: 0.020000
Training Epoch: 14 [5632/10284]	Loss: 0.3202	LR: 0.020000
Training Epoch: 14 [5888/10284]	Loss: 0.3253	LR: 0.020000
Training Epoch: 14 [6144/10284]	Loss: 0.3079	LR: 0.020000
Training Epoch: 14 [6400/10284]	Loss: 0.3082	LR: 0.020000
Training Epoch: 14 [6656/10284]	Loss: 0.3324	LR: 0.020000
Training Epoch: 14 [6912/10284]	Loss: 0.2896	LR: 0.020000
Training Epoch: 14 [7168/10284]	Loss: 0.2776	LR: 0.020000
Training Epoch: 14 [7424/10284]	Loss: 0.3316	LR: 0.020000
Training Epoch: 14 [7680/10284]	Loss: 0.3136	LR: 0.020000
Training Epoch: 14 [7936/10284]	Loss: 0.3235	LR: 0.020000
Training Epoch: 14 [8192/10284]	Loss: 0.3245	LR: 0.020000
Training Epoch: 14 [8448/10284]	Loss: 0.2877	LR: 0.020000
Training Epoch: 14 [8704/10284]	Loss: 0.3386	LR: 0.020000
Training Epoch: 14 [8960/10284]	Loss: 0.3534	LR: 0.020000
Training Epoch: 14 [9216/10284]	Loss: 0.3208	LR: 0.020000
Training Epoch: 14 [9472/10284]	Loss: 0.3234	LR: 0.020000
Training Epoch: 14 [9728/10284]	Loss: 0.2464	LR: 0.020000
Training Epoch: 14 [9984/10284]	Loss: 0.3232	LR: 0.020000
Training Epoch: 14 [10240/10284]	Loss: 0.3097	LR: 0.020000
Training Epoch: 14 [10284/10284]	Loss: 0.4579	LR: 0.020000
Epoch 14 - Average Train Loss: 0.3363, Train Accuracy: 0.8530
Epoch 14 training time consumed: 152.71s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8717, Time consumed:8.05s
Saving weights file to checkpoint/retrain/ResNet18/Monday_28_July_2025_00h_41m_08s/ResNet18-MUCAC-seed8-ret75-14-best.pth
Training Epoch: 15 [256/10284]	Loss: 0.3551	LR: 0.020000
Training Epoch: 15 [512/10284]	Loss: 0.3737	LR: 0.020000
Training Epoch: 15 [768/10284]	Loss: 0.3471	LR: 0.020000
Training Epoch: 15 [1024/10284]	Loss: 0.2885	LR: 0.020000
Training Epoch: 15 [1280/10284]	Loss: 0.3400	LR: 0.020000
Training Epoch: 15 [1536/10284]	Loss: 0.3482	LR: 0.020000
Training Epoch: 15 [1792/10284]	Loss: 0.3321	LR: 0.020000
Training Epoch: 15 [2048/10284]	Loss: 0.3567	LR: 0.020000
Training Epoch: 15 [2304/10284]	Loss: 0.3386	LR: 0.020000
Training Epoch: 15 [2560/10284]	Loss: 0.3120	LR: 0.020000
Training Epoch: 15 [2816/10284]	Loss: 0.2924	LR: 0.020000
Training Epoch: 15 [3072/10284]	Loss: 0.3431	LR: 0.020000
Training Epoch: 15 [3328/10284]	Loss: 0.2405	LR: 0.020000
Training Epoch: 15 [3584/10284]	Loss: 0.3404	LR: 0.020000
Training Epoch: 15 [3840/10284]	Loss: 0.3322	LR: 0.020000
Training Epoch: 15 [4096/10284]	Loss: 0.3572	LR: 0.020000
Training Epoch: 15 [4352/10284]	Loss: 0.3200	LR: 0.020000
Training Epoch: 15 [4608/10284]	Loss: 0.3248	LR: 0.020000
Training Epoch: 15 [4864/10284]	Loss: 0.3409	LR: 0.020000
Training Epoch: 15 [5120/10284]	Loss: 0.3559	LR: 0.020000
Training Epoch: 15 [5376/10284]	Loss: 0.3114	LR: 0.020000
Training Epoch: 15 [5632/10284]	Loss: 0.3043	LR: 0.020000
Training Epoch: 15 [5888/10284]	Loss: 0.3100	LR: 0.020000
Training Epoch: 15 [6144/10284]	Loss: 0.2868	LR: 0.020000
Training Epoch: 15 [6400/10284]	Loss: 0.3779	LR: 0.020000
Training Epoch: 15 [6656/10284]	Loss: 0.2710	LR: 0.020000
Training Epoch: 15 [6912/10284]	Loss: 0.2627	LR: 0.020000
Training Epoch: 15 [7168/10284]	Loss: 0.3376	LR: 0.020000
Training Epoch: 15 [7424/10284]	Loss: 0.3522	LR: 0.020000
Training Epoch: 15 [7680/10284]	Loss: 0.3013	LR: 0.020000
Training Epoch: 15 [7936/10284]	Loss: 0.3179	LR: 0.020000
Training Epoch: 15 [8192/10284]	Loss: 0.2916	LR: 0.020000
Training Epoch: 15 [8448/10284]	Loss: 0.3316	LR: 0.020000
Training Epoch: 15 [8704/10284]	Loss: 0.2785	LR: 0.020000
Training Epoch: 15 [8960/10284]	Loss: 0.3182	LR: 0.020000
Training Epoch: 15 [9216/10284]	Loss: 0.2778	LR: 0.020000
Training Epoch: 15 [9472/10284]	Loss: 0.2758	LR: 0.020000
Training Epoch: 15 [9728/10284]	Loss: 0.2912	LR: 0.020000
Training Epoch: 15 [9984/10284]	Loss: 0.2922	LR: 0.020000
Training Epoch: 15 [10240/10284]	Loss: 0.2367	LR: 0.020000
Training Epoch: 15 [10284/10284]	Loss: 0.4919	LR: 0.020000
Epoch 15 - Average Train Loss: 0.3174, Train Accuracy: 0.8645
Epoch 15 training time consumed: 152.35s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0034, Accuracy: 0.6663, Time consumed:8.18s
Training Epoch: 16 [256/10284]	Loss: 0.2799	LR: 0.020000
Training Epoch: 16 [512/10284]	Loss: 0.3461	LR: 0.020000
Training Epoch: 16 [768/10284]	Loss: 0.3181	LR: 0.020000
Training Epoch: 16 [1024/10284]	Loss: 0.4110	LR: 0.020000
Training Epoch: 16 [1280/10284]	Loss: 0.2747	LR: 0.020000
Training Epoch: 16 [1536/10284]	Loss: 0.3353	LR: 0.020000
Training Epoch: 16 [1792/10284]	Loss: 0.2917	LR: 0.020000
Training Epoch: 16 [2048/10284]	Loss: 0.2881	LR: 0.020000
Training Epoch: 16 [2304/10284]	Loss: 0.3300	LR: 0.020000
Training Epoch: 16 [2560/10284]	Loss: 0.2992	LR: 0.020000
Training Epoch: 16 [2816/10284]	Loss: 0.3039	LR: 0.020000
Training Epoch: 16 [3072/10284]	Loss: 0.3011	LR: 0.020000
Training Epoch: 16 [3328/10284]	Loss: 0.3496	LR: 0.020000
Training Epoch: 16 [3584/10284]	Loss: 0.2563	LR: 0.020000
Training Epoch: 16 [3840/10284]	Loss: 0.3141	LR: 0.020000
Training Epoch: 16 [4096/10284]	Loss: 0.2848	LR: 0.020000
Training Epoch: 16 [4352/10284]	Loss: 0.2841	LR: 0.020000
Training Epoch: 16 [4608/10284]	Loss: 0.3587	LR: 0.020000
Training Epoch: 16 [4864/10284]	Loss: 0.3303	LR: 0.020000
Training Epoch: 16 [5120/10284]	Loss: 0.2759	LR: 0.020000
Training Epoch: 16 [5376/10284]	Loss: 0.3457	LR: 0.020000
Training Epoch: 16 [5632/10284]	Loss: 0.3328	LR: 0.020000
Training Epoch: 16 [5888/10284]	Loss: 0.3092	LR: 0.020000
Training Epoch: 16 [6144/10284]	Loss: 0.3771	LR: 0.020000
Training Epoch: 16 [6400/10284]	Loss: 0.2486	LR: 0.020000
Training Epoch: 16 [6656/10284]	Loss: 0.3092	LR: 0.020000
Training Epoch: 16 [6912/10284]	Loss: 0.2698	LR: 0.020000
Training Epoch: 16 [7168/10284]	Loss: 0.3930	LR: 0.020000
Training Epoch: 16 [7424/10284]	Loss: 0.2747	LR: 0.020000
Training Epoch: 16 [7680/10284]	Loss: 0.2427	LR: 0.020000
Training Epoch: 16 [7936/10284]	Loss: 0.2942	LR: 0.020000
Training Epoch: 16 [8192/10284]	Loss: 0.2906	LR: 0.020000
Training Epoch: 16 [8448/10284]	Loss: 0.2420	LR: 0.020000
Training Epoch: 16 [8704/10284]	Loss: 0.2636	LR: 0.020000
Training Epoch: 16 [8960/10284]	Loss: 0.2777	LR: 0.020000
Training Epoch: 16 [9216/10284]	Loss: 0.3162	LR: 0.020000
Training Epoch: 16 [9472/10284]	Loss: 0.2941	LR: 0.020000
Training Epoch: 16 [9728/10284]	Loss: 0.3168	LR: 0.020000
Training Epoch: 16 [9984/10284]	Loss: 0.3257	LR: 0.020000
Training Epoch: 16 [10240/10284]	Loss: 0.3190	LR: 0.020000
Training Epoch: 16 [10284/10284]	Loss: 0.5908	LR: 0.020000
Epoch 16 - Average Train Loss: 0.3081, Train Accuracy: 0.8673
Epoch 16 training time consumed: 152.82s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8523, Time consumed:8.33s
Training Epoch: 17 [256/10284]	Loss: 0.2201	LR: 0.020000
Training Epoch: 17 [512/10284]	Loss: 0.2774	LR: 0.020000
Training Epoch: 17 [768/10284]	Loss: 0.2602	LR: 0.020000
Training Epoch: 17 [1024/10284]	Loss: 0.3008	LR: 0.020000
Training Epoch: 17 [1280/10284]	Loss: 0.3126	LR: 0.020000
Training Epoch: 17 [1536/10284]	Loss: 0.3764	LR: 0.020000
Training Epoch: 17 [1792/10284]	Loss: 0.2790	LR: 0.020000
Training Epoch: 17 [2048/10284]	Loss: 0.2593	LR: 0.020000
Training Epoch: 17 [2304/10284]	Loss: 0.2978	LR: 0.020000
Training Epoch: 17 [2560/10284]	Loss: 0.2495	LR: 0.020000
Training Epoch: 17 [2816/10284]	Loss: 0.3317	LR: 0.020000
Training Epoch: 17 [3072/10284]	Loss: 0.2873	LR: 0.020000
Training Epoch: 17 [3328/10284]	Loss: 0.2342	LR: 0.020000
Training Epoch: 17 [3584/10284]	Loss: 0.2638	LR: 0.020000
Training Epoch: 17 [3840/10284]	Loss: 0.2941	LR: 0.020000
Training Epoch: 17 [4096/10284]	Loss: 0.3024	LR: 0.020000
Training Epoch: 17 [4352/10284]	Loss: 0.3135	LR: 0.020000
Training Epoch: 17 [4608/10284]	Loss: 0.2419	LR: 0.020000
Training Epoch: 17 [4864/10284]	Loss: 0.2918	LR: 0.020000
Training Epoch: 17 [5120/10284]	Loss: 0.2467	LR: 0.020000
Training Epoch: 17 [5376/10284]	Loss: 0.2849	LR: 0.020000
Training Epoch: 17 [5632/10284]	Loss: 0.2347	LR: 0.020000
Training Epoch: 17 [5888/10284]	Loss: 0.2741	LR: 0.020000
Training Epoch: 17 [6144/10284]	Loss: 0.3320	LR: 0.020000
Training Epoch: 17 [6400/10284]	Loss: 0.3031	LR: 0.020000
Training Epoch: 17 [6656/10284]	Loss: 0.2729	LR: 0.020000
Training Epoch: 17 [6912/10284]	Loss: 0.3175	LR: 0.020000
Training Epoch: 17 [7168/10284]	Loss: 0.3246	LR: 0.020000
Training Epoch: 17 [7424/10284]	Loss: 0.2703	LR: 0.020000
Training Epoch: 17 [7680/10284]	Loss: 0.3052	LR: 0.020000
Training Epoch: 17 [7936/10284]	Loss: 0.2410	LR: 0.020000
Training Epoch: 17 [8192/10284]	Loss: 0.3192	LR: 0.020000
Training Epoch: 17 [8448/10284]	Loss: 0.1942	LR: 0.020000
Training Epoch: 17 [8704/10284]	Loss: 0.2921	LR: 0.020000
Training Epoch: 17 [8960/10284]	Loss: 0.2849	LR: 0.020000
Training Epoch: 17 [9216/10284]	Loss: 0.2913	LR: 0.020000
Training Epoch: 17 [9472/10284]	Loss: 0.2619	LR: 0.020000
Training Epoch: 17 [9728/10284]	Loss: 0.3060	LR: 0.020000
Training Epoch: 17 [9984/10284]	Loss: 0.2998	LR: 0.020000
Training Epoch: 17 [10240/10284]	Loss: 0.2470	LR: 0.020000
Training Epoch: 17 [10284/10284]	Loss: 0.2954	LR: 0.020000
Epoch 17 - Average Train Loss: 0.2825, Train Accuracy: 0.8840
Epoch 17 training time consumed: 152.54s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8600, Time consumed:8.16s
Training Epoch: 18 [256/10284]	Loss: 0.2986	LR: 0.020000
Training Epoch: 18 [512/10284]	Loss: 0.2977	LR: 0.020000
Training Epoch: 18 [768/10284]	Loss: 0.2877	LR: 0.020000
Training Epoch: 18 [1024/10284]	Loss: 0.2815	LR: 0.020000
Training Epoch: 18 [1280/10284]	Loss: 0.2848	LR: 0.020000
Training Epoch: 18 [1536/10284]	Loss: 0.2362	LR: 0.020000
Training Epoch: 18 [1792/10284]	Loss: 0.2415	LR: 0.020000
Training Epoch: 18 [2048/10284]	Loss: 0.2157	LR: 0.020000
Training Epoch: 18 [2304/10284]	Loss: 0.2912	LR: 0.020000
Training Epoch: 18 [2560/10284]	Loss: 0.2779	LR: 0.020000
Training Epoch: 18 [2816/10284]	Loss: 0.2227	LR: 0.020000
Training Epoch: 18 [3072/10284]	Loss: 0.2680	LR: 0.020000
Training Epoch: 18 [3328/10284]	Loss: 0.2793	LR: 0.020000
Training Epoch: 18 [3584/10284]	Loss: 0.2247	LR: 0.020000
Training Epoch: 18 [3840/10284]	Loss: 0.2317	LR: 0.020000
Training Epoch: 18 [4096/10284]	Loss: 0.2765	LR: 0.020000
Training Epoch: 18 [4352/10284]	Loss: 0.2695	LR: 0.020000
Training Epoch: 18 [4608/10284]	Loss: 0.1865	LR: 0.020000
Training Epoch: 18 [4864/10284]	Loss: 0.2463	LR: 0.020000
Training Epoch: 18 [5120/10284]	Loss: 0.2452	LR: 0.020000
Training Epoch: 18 [5376/10284]	Loss: 0.2083	LR: 0.020000
Training Epoch: 18 [5632/10284]	Loss: 0.1910	LR: 0.020000
Training Epoch: 18 [5888/10284]	Loss: 0.2768	LR: 0.020000
Training Epoch: 18 [6144/10284]	Loss: 0.2403	LR: 0.020000
Training Epoch: 18 [6400/10284]	Loss: 0.2149	LR: 0.020000
Training Epoch: 18 [6656/10284]	Loss: 0.2231	LR: 0.020000
Training Epoch: 18 [6912/10284]	Loss: 0.2301	LR: 0.020000
Training Epoch: 18 [7168/10284]	Loss: 0.2191	LR: 0.020000
Training Epoch: 18 [7424/10284]	Loss: 0.2178	LR: 0.020000
Training Epoch: 18 [7680/10284]	Loss: 0.2678	LR: 0.020000
Training Epoch: 18 [7936/10284]	Loss: 0.3119	LR: 0.020000
Training Epoch: 18 [8192/10284]	Loss: 0.1797	LR: 0.020000
Training Epoch: 18 [8448/10284]	Loss: 0.2027	LR: 0.020000
Training Epoch: 18 [8704/10284]	Loss: 0.2497	LR: 0.020000
Training Epoch: 18 [8960/10284]	Loss: 0.2704	LR: 0.020000
Training Epoch: 18 [9216/10284]	Loss: 0.2910	LR: 0.020000
Training Epoch: 18 [9472/10284]	Loss: 0.2628	LR: 0.020000
Training Epoch: 18 [9728/10284]	Loss: 0.2239	LR: 0.020000
Training Epoch: 18 [9984/10284]	Loss: 0.2657	LR: 0.020000
Training Epoch: 18 [10240/10284]	Loss: 0.3563	LR: 0.020000
Training Epoch: 18 [10284/10284]	Loss: 0.1283	LR: 0.020000
Epoch 18 - Average Train Loss: 0.2511, Train Accuracy: 0.8926
Epoch 18 training time consumed: 152.94s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0032, Accuracy: 0.7196, Time consumed:7.98s
Training Epoch: 19 [256/10284]	Loss: 0.2749	LR: 0.020000
Training Epoch: 19 [512/10284]	Loss: 0.3226	LR: 0.020000
Training Epoch: 19 [768/10284]	Loss: 0.3120	LR: 0.020000
Training Epoch: 19 [1024/10284]	Loss: 0.2357	LR: 0.020000
Training Epoch: 19 [1280/10284]	Loss: 0.2265	LR: 0.020000
Training Epoch: 19 [1536/10284]	Loss: 0.3466	LR: 0.020000
Training Epoch: 19 [1792/10284]	Loss: 0.2635	LR: 0.020000
Training Epoch: 19 [2048/10284]	Loss: 0.2780	LR: 0.020000
Training Epoch: 19 [2304/10284]	Loss: 0.2803	LR: 0.020000
Training Epoch: 19 [2560/10284]	Loss: 0.2174	LR: 0.020000
Training Epoch: 19 [2816/10284]	Loss: 0.2659	LR: 0.020000
Training Epoch: 19 [3072/10284]	Loss: 0.2158	LR: 0.020000
Training Epoch: 19 [3328/10284]	Loss: 0.2172	LR: 0.020000
Training Epoch: 19 [3584/10284]	Loss: 0.2422	LR: 0.020000
Training Epoch: 19 [3840/10284]	Loss: 0.2436	LR: 0.020000
Training Epoch: 19 [4096/10284]	Loss: 0.1744	LR: 0.020000
Training Epoch: 19 [4352/10284]	Loss: 0.2006	LR: 0.020000
Training Epoch: 19 [4608/10284]	Loss: 0.2433	LR: 0.020000
Training Epoch: 19 [4864/10284]	Loss: 0.2109	LR: 0.020000
Training Epoch: 19 [5120/10284]	Loss: 0.2566	LR: 0.020000
Training Epoch: 19 [5376/10284]	Loss: 0.2092	LR: 0.020000
Training Epoch: 19 [5632/10284]	Loss: 0.2084	LR: 0.020000
Training Epoch: 19 [5888/10284]	Loss: 0.2447	LR: 0.020000
Training Epoch: 19 [6144/10284]	Loss: 0.2093	LR: 0.020000
Training Epoch: 19 [6400/10284]	Loss: 0.1935	LR: 0.020000
Training Epoch: 19 [6656/10284]	Loss: 0.2079	LR: 0.020000
Training Epoch: 19 [6912/10284]	Loss: 0.2289	LR: 0.020000
Training Epoch: 19 [7168/10284]	Loss: 0.2661	LR: 0.020000
Training Epoch: 19 [7424/10284]	Loss: 0.2510	LR: 0.020000
Training Epoch: 19 [7680/10284]	Loss: 0.2682	LR: 0.020000
Training Epoch: 19 [7936/10284]	Loss: 0.1883	LR: 0.020000
Training Epoch: 19 [8192/10284]	Loss: 0.2078	LR: 0.020000
Training Epoch: 19 [8448/10284]	Loss: 0.2392	LR: 0.020000
Training Epoch: 19 [8704/10284]	Loss: 0.2372	LR: 0.020000
Training Epoch: 19 [8960/10284]	Loss: 0.3158	LR: 0.020000
Training Epoch: 19 [9216/10284]	Loss: 0.2795	LR: 0.020000
Training Epoch: 19 [9472/10284]	Loss: 0.2218	LR: 0.020000
Training Epoch: 19 [9728/10284]	Loss: 0.3006	LR: 0.020000
Training Epoch: 19 [9984/10284]	Loss: 0.2552	LR: 0.020000
Training Epoch: 19 [10240/10284]	Loss: 0.2465	LR: 0.020000
Training Epoch: 19 [10284/10284]	Loss: 0.3244	LR: 0.020000
Epoch 19 - Average Train Loss: 0.2455, Train Accuracy: 0.9001
Epoch 19 training time consumed: 152.84s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0019, Accuracy: 0.8441, Time consumed:8.27s
Training Epoch: 20 [256/10284]	Loss: 0.1897	LR: 0.004000
Training Epoch: 20 [512/10284]	Loss: 0.2508	LR: 0.004000
Training Epoch: 20 [768/10284]	Loss: 0.3350	LR: 0.004000
Training Epoch: 20 [1024/10284]	Loss: 0.2611	LR: 0.004000
Training Epoch: 20 [1280/10284]	Loss: 0.1934	LR: 0.004000
Training Epoch: 20 [1536/10284]	Loss: 0.2333	LR: 0.004000
Training Epoch: 20 [1792/10284]	Loss: 0.2600	LR: 0.004000
Training Epoch: 20 [2048/10284]	Loss: 0.2185	LR: 0.004000
Training Epoch: 20 [2304/10284]	Loss: 0.2807	LR: 0.004000
Training Epoch: 20 [2560/10284]	Loss: 0.2263	LR: 0.004000
Training Epoch: 20 [2816/10284]	Loss: 0.2076	LR: 0.004000
Training Epoch: 20 [3072/10284]	Loss: 0.2693	LR: 0.004000
Training Epoch: 20 [3328/10284]	Loss: 0.2043	LR: 0.004000
Training Epoch: 20 [3584/10284]	Loss: 0.1872	LR: 0.004000
Training Epoch: 20 [3840/10284]	Loss: 0.2151	LR: 0.004000
Training Epoch: 20 [4096/10284]	Loss: 0.2108	LR: 0.004000
Training Epoch: 20 [4352/10284]	Loss: 0.2327	LR: 0.004000
Training Epoch: 20 [4608/10284]	Loss: 0.1720	LR: 0.004000
Training Epoch: 20 [4864/10284]	Loss: 0.1904	LR: 0.004000
Training Epoch: 20 [5120/10284]	Loss: 0.2041	LR: 0.004000
Training Epoch: 20 [5376/10284]	Loss: 0.2500	LR: 0.004000
Training Epoch: 20 [5632/10284]	Loss: 0.1949	LR: 0.004000
Training Epoch: 20 [5888/10284]	Loss: 0.2054	LR: 0.004000
Training Epoch: 20 [6144/10284]	Loss: 0.2052	LR: 0.004000
Training Epoch: 20 [6400/10284]	Loss: 0.2071	LR: 0.004000
Training Epoch: 20 [6656/10284]	Loss: 0.2139	LR: 0.004000
Training Epoch: 20 [6912/10284]	Loss: 0.1898	LR: 0.004000
Training Epoch: 20 [7168/10284]	Loss: 0.2411	LR: 0.004000
Training Epoch: 20 [7424/10284]	Loss: 0.1553	LR: 0.004000
Training Epoch: 20 [7680/10284]	Loss: 0.2142	LR: 0.004000
Training Epoch: 20 [7936/10284]	Loss: 0.1823	LR: 0.004000
Training Epoch: 20 [8192/10284]	Loss: 0.1613	LR: 0.004000
Training Epoch: 20 [8448/10284]	Loss: 0.1859	LR: 0.004000
Training Epoch: 20 [8704/10284]	Loss: 0.2090	LR: 0.004000
Training Epoch: 20 [8960/10284]	Loss: 0.1546	LR: 0.004000
Training Epoch: 20 [9216/10284]	Loss: 0.2234	LR: 0.004000
Training Epoch: 20 [9472/10284]	Loss: 0.1741	LR: 0.004000
Training Epoch: 20 [9728/10284]	Loss: 0.1900	LR: 0.004000
Training Epoch: 20 [9984/10284]	Loss: 0.1801	LR: 0.004000
Training Epoch: 20 [10240/10284]	Loss: 0.1971	LR: 0.004000
Training Epoch: 20 [10284/10284]	Loss: 0.1419	LR: 0.004000
Epoch 20 - Average Train Loss: 0.2116, Train Accuracy: 0.9124
Epoch 20 training time consumed: 153.03s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0007, Accuracy: 0.9274, Time consumed:8.26s
Saving weights file to checkpoint/retrain/ResNet18/Monday_28_July_2025_00h_41m_08s/ResNet18-MUCAC-seed8-ret75-20-best.pth
Training Epoch: 21 [256/10284]	Loss: 0.2431	LR: 0.004000
Training Epoch: 21 [512/10284]	Loss: 0.1528	LR: 0.004000
Training Epoch: 21 [768/10284]	Loss: 0.1943	LR: 0.004000
Training Epoch: 21 [1024/10284]	Loss: 0.2113	LR: 0.004000
Training Epoch: 21 [1280/10284]	Loss: 0.1616	LR: 0.004000
Training Epoch: 21 [1536/10284]	Loss: 0.1796	LR: 0.004000
Training Epoch: 21 [1792/10284]	Loss: 0.1864	LR: 0.004000
Training Epoch: 21 [2048/10284]	Loss: 0.1762	LR: 0.004000
Training Epoch: 21 [2304/10284]	Loss: 0.2020	LR: 0.004000
Training Epoch: 21 [2560/10284]	Loss: 0.1521	LR: 0.004000
Training Epoch: 21 [2816/10284]	Loss: 0.1656	LR: 0.004000
Training Epoch: 21 [3072/10284]	Loss: 0.2139	LR: 0.004000
Training Epoch: 21 [3328/10284]	Loss: 0.2036	LR: 0.004000
Training Epoch: 21 [3584/10284]	Loss: 0.1532	LR: 0.004000
Training Epoch: 21 [3840/10284]	Loss: 0.2067	LR: 0.004000
Training Epoch: 21 [4096/10284]	Loss: 0.1588	LR: 0.004000
Training Epoch: 21 [4352/10284]	Loss: 0.1491	LR: 0.004000
Training Epoch: 21 [4608/10284]	Loss: 0.1893	LR: 0.004000
Training Epoch: 21 [4864/10284]	Loss: 0.2389	LR: 0.004000
Training Epoch: 21 [5120/10284]	Loss: 0.2328	LR: 0.004000
Training Epoch: 21 [5376/10284]	Loss: 0.2057	LR: 0.004000
Training Epoch: 21 [5632/10284]	Loss: 0.1993	LR: 0.004000
Training Epoch: 21 [5888/10284]	Loss: 0.2068	LR: 0.004000
Training Epoch: 21 [6144/10284]	Loss: 0.1953	LR: 0.004000
Training Epoch: 21 [6400/10284]	Loss: 0.1593	LR: 0.004000
Training Epoch: 21 [6656/10284]	Loss: 0.1669	LR: 0.004000
Training Epoch: 21 [6912/10284]	Loss: 0.2506	LR: 0.004000
Training Epoch: 21 [7168/10284]	Loss: 0.1691	LR: 0.004000
Training Epoch: 21 [7424/10284]	Loss: 0.1536	LR: 0.004000
Training Epoch: 21 [7680/10284]	Loss: 0.2544	LR: 0.004000
Training Epoch: 21 [7936/10284]	Loss: 0.1900	LR: 0.004000
Training Epoch: 21 [8192/10284]	Loss: 0.1906	LR: 0.004000
Training Epoch: 21 [8448/10284]	Loss: 0.1731	LR: 0.004000
Training Epoch: 21 [8704/10284]	Loss: 0.1518	LR: 0.004000
Training Epoch: 21 [8960/10284]	Loss: 0.2311	LR: 0.004000
Training Epoch: 21 [9216/10284]	Loss: 0.1624	LR: 0.004000
Training Epoch: 21 [9472/10284]	Loss: 0.1467	LR: 0.004000
Training Epoch: 21 [9728/10284]	Loss: 0.1501	LR: 0.004000
Training Epoch: 21 [9984/10284]	Loss: 0.1875	LR: 0.004000
Training Epoch: 21 [10240/10284]	Loss: 0.1912	LR: 0.004000
Training Epoch: 21 [10284/10284]	Loss: 0.2043	LR: 0.004000
Epoch 21 - Average Train Loss: 0.1877, Train Accuracy: 0.9243
Epoch 21 training time consumed: 152.92s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0007, Accuracy: 0.9327, Time consumed:8.42s
Saving weights file to checkpoint/retrain/ResNet18/Monday_28_July_2025_00h_41m_08s/ResNet18-MUCAC-seed8-ret75-21-best.pth
Training Epoch: 22 [256/10284]	Loss: 0.1725	LR: 0.004000
Training Epoch: 22 [512/10284]	Loss: 0.1696	LR: 0.004000
Training Epoch: 22 [768/10284]	Loss: 0.2011	LR: 0.004000
Training Epoch: 22 [1024/10284]	Loss: 0.1794	LR: 0.004000
Training Epoch: 22 [1280/10284]	Loss: 0.1395	LR: 0.004000
Training Epoch: 22 [1536/10284]	Loss: 0.1992	LR: 0.004000
Training Epoch: 22 [1792/10284]	Loss: 0.2071	LR: 0.004000
Training Epoch: 22 [2048/10284]	Loss: 0.2138	LR: 0.004000
Training Epoch: 22 [2304/10284]	Loss: 0.1633	LR: 0.004000
Training Epoch: 22 [2560/10284]	Loss: 0.1543	LR: 0.004000
Training Epoch: 22 [2816/10284]	Loss: 0.1798	LR: 0.004000
Training Epoch: 22 [3072/10284]	Loss: 0.1704	LR: 0.004000
Training Epoch: 22 [3328/10284]	Loss: 0.1461	LR: 0.004000
Training Epoch: 22 [3584/10284]	Loss: 0.1485	LR: 0.004000
Training Epoch: 22 [3840/10284]	Loss: 0.2120	LR: 0.004000
Training Epoch: 22 [4096/10284]	Loss: 0.1678	LR: 0.004000
Training Epoch: 22 [4352/10284]	Loss: 0.1876	LR: 0.004000
Training Epoch: 22 [4608/10284]	Loss: 0.2138	LR: 0.004000
Training Epoch: 22 [4864/10284]	Loss: 0.1618	LR: 0.004000
Training Epoch: 22 [5120/10284]	Loss: 0.1454	LR: 0.004000
Training Epoch: 22 [5376/10284]	Loss: 0.1358	LR: 0.004000
Training Epoch: 22 [5632/10284]	Loss: 0.1462	LR: 0.004000
Training Epoch: 22 [5888/10284]	Loss: 0.2242	LR: 0.004000
Training Epoch: 22 [6144/10284]	Loss: 0.1731	LR: 0.004000
Training Epoch: 22 [6400/10284]	Loss: 0.2017	LR: 0.004000
Training Epoch: 22 [6656/10284]	Loss: 0.1492	LR: 0.004000
Training Epoch: 22 [6912/10284]	Loss: 0.1525	LR: 0.004000
Training Epoch: 22 [7168/10284]	Loss: 0.1288	LR: 0.004000
Training Epoch: 22 [7424/10284]	Loss: 0.1857	LR: 0.004000
Training Epoch: 22 [7680/10284]	Loss: 0.1839	LR: 0.004000
Training Epoch: 22 [7936/10284]	Loss: 0.2035	LR: 0.004000
Training Epoch: 22 [8192/10284]	Loss: 0.1895	LR: 0.004000
Training Epoch: 22 [8448/10284]	Loss: 0.2230	LR: 0.004000
Training Epoch: 22 [8704/10284]	Loss: 0.1676	LR: 0.004000
Training Epoch: 22 [8960/10284]	Loss: 0.1436	LR: 0.004000
Training Epoch: 22 [9216/10284]	Loss: 0.2215	LR: 0.004000
Training Epoch: 22 [9472/10284]	Loss: 0.1802	LR: 0.004000
Training Epoch: 22 [9728/10284]	Loss: 0.1596	LR: 0.004000
Training Epoch: 22 [9984/10284]	Loss: 0.1802	LR: 0.004000
Training Epoch: 22 [10240/10284]	Loss: 0.1881	LR: 0.004000
Training Epoch: 22 [10284/10284]	Loss: 0.2762	LR: 0.004000
Epoch 22 - Average Train Loss: 0.1772, Train Accuracy: 0.9313
Epoch 22 training time consumed: 152.94s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0008, Accuracy: 0.9206, Time consumed:8.09s
Training Epoch: 23 [256/10284]	Loss: 0.1985	LR: 0.004000
Training Epoch: 23 [512/10284]	Loss: 0.1699	LR: 0.004000
Training Epoch: 23 [768/10284]	Loss: 0.1303	LR: 0.004000
Training Epoch: 23 [1024/10284]	Loss: 0.1913	LR: 0.004000
Training Epoch: 23 [1280/10284]	Loss: 0.2434	LR: 0.004000
Training Epoch: 23 [1536/10284]	Loss: 0.2052	LR: 0.004000
Training Epoch: 23 [1792/10284]	Loss: 0.1919	LR: 0.004000
Training Epoch: 23 [2048/10284]	Loss: 0.1774	LR: 0.004000
Training Epoch: 23 [2304/10284]	Loss: 0.2004	LR: 0.004000
Training Epoch: 23 [2560/10284]	Loss: 0.1312	LR: 0.004000
Training Epoch: 23 [2816/10284]	Loss: 0.1555	LR: 0.004000
Training Epoch: 23 [3072/10284]	Loss: 0.2277	LR: 0.004000
Training Epoch: 23 [3328/10284]	Loss: 0.1397	LR: 0.004000
Training Epoch: 23 [3584/10284]	Loss: 0.1690	LR: 0.004000
Training Epoch: 23 [3840/10284]	Loss: 0.1570	LR: 0.004000
Training Epoch: 23 [4096/10284]	Loss: 0.1661	LR: 0.004000
Training Epoch: 23 [4352/10284]	Loss: 0.1998	LR: 0.004000
Training Epoch: 23 [4608/10284]	Loss: 0.1667	LR: 0.004000
Training Epoch: 23 [4864/10284]	Loss: 0.1859	LR: 0.004000
Training Epoch: 23 [5120/10284]	Loss: 0.1296	LR: 0.004000
Training Epoch: 23 [5376/10284]	Loss: 0.1759	LR: 0.004000
Training Epoch: 23 [5632/10284]	Loss: 0.1808	LR: 0.004000
Training Epoch: 23 [5888/10284]	Loss: 0.1878	LR: 0.004000
Training Epoch: 23 [6144/10284]	Loss: 0.1919	LR: 0.004000
Training Epoch: 23 [6400/10284]	Loss: 0.1743	LR: 0.004000
Training Epoch: 23 [6656/10284]	Loss: 0.1886	LR: 0.004000
Training Epoch: 23 [6912/10284]	Loss: 0.1746	LR: 0.004000
Training Epoch: 23 [7168/10284]	Loss: 0.1508	LR: 0.004000
Training Epoch: 23 [7424/10284]	Loss: 0.2137	LR: 0.004000
Training Epoch: 23 [7680/10284]	Loss: 0.1879	LR: 0.004000
Training Epoch: 23 [7936/10284]	Loss: 0.1778	LR: 0.004000
Training Epoch: 23 [8192/10284]	Loss: 0.1683	LR: 0.004000
Training Epoch: 23 [8448/10284]	Loss: 0.1810	LR: 0.004000
Training Epoch: 23 [8704/10284]	Loss: 0.1916	LR: 0.004000
Training Epoch: 23 [8960/10284]	Loss: 0.3054	LR: 0.004000
Training Epoch: 23 [9216/10284]	Loss: 0.1717	LR: 0.004000
Training Epoch: 23 [9472/10284]	Loss: 0.1850	LR: 0.004000
Training Epoch: 23 [9728/10284]	Loss: 0.1391	LR: 0.004000
Training Epoch: 23 [9984/10284]	Loss: 0.1854	LR: 0.004000
Training Epoch: 23 [10240/10284]	Loss: 0.1684	LR: 0.004000
Training Epoch: 23 [10284/10284]	Loss: 0.0841	LR: 0.004000
Epoch 23 - Average Train Loss: 0.1805, Train Accuracy: 0.9234
Epoch 23 training time consumed: 152.75s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0008, Accuracy: 0.9269, Time consumed:8.23s
Training Epoch: 24 [256/10284]	Loss: 0.1766	LR: 0.004000
Training Epoch: 24 [512/10284]	Loss: 0.1344	LR: 0.004000
Training Epoch: 24 [768/10284]	Loss: 0.2250	LR: 0.004000
Training Epoch: 24 [1024/10284]	Loss: 0.1443	LR: 0.004000
Training Epoch: 24 [1280/10284]	Loss: 0.1796	LR: 0.004000
Training Epoch: 24 [1536/10284]	Loss: 0.1468	LR: 0.004000
Training Epoch: 24 [1792/10284]	Loss: 0.1883	LR: 0.004000
Training Epoch: 24 [2048/10284]	Loss: 0.1918	LR: 0.004000
Training Epoch: 24 [2304/10284]	Loss: 0.1572	LR: 0.004000
Training Epoch: 24 [2560/10284]	Loss: 0.1544	LR: 0.004000
Training Epoch: 24 [2816/10284]	Loss: 0.2227	LR: 0.004000
Training Epoch: 24 [3072/10284]	Loss: 0.1688	LR: 0.004000
Training Epoch: 24 [3328/10284]	Loss: 0.1935	LR: 0.004000
Training Epoch: 24 [3584/10284]	Loss: 0.1825	LR: 0.004000
Training Epoch: 24 [3840/10284]	Loss: 0.1791	LR: 0.004000
Training Epoch: 24 [4096/10284]	Loss: 0.1366	LR: 0.004000
Training Epoch: 24 [4352/10284]	Loss: 0.1844	LR: 0.004000
Training Epoch: 24 [4608/10284]	Loss: 0.1304	LR: 0.004000
Training Epoch: 24 [4864/10284]	Loss: 0.1581	LR: 0.004000
Training Epoch: 24 [5120/10284]	Loss: 0.1428	LR: 0.004000
Training Epoch: 24 [5376/10284]	Loss: 0.1380	LR: 0.004000
Training Epoch: 24 [5632/10284]	Loss: 0.1631	LR: 0.004000
Training Epoch: 24 [5888/10284]	Loss: 0.1789	LR: 0.004000
Training Epoch: 24 [6144/10284]	Loss: 0.1314	LR: 0.004000
Training Epoch: 24 [6400/10284]	Loss: 0.1251	LR: 0.004000
Training Epoch: 24 [6656/10284]	Loss: 0.1727	LR: 0.004000
Training Epoch: 24 [6912/10284]	Loss: 0.1769	LR: 0.004000
Training Epoch: 24 [7168/10284]	Loss: 0.2357	LR: 0.004000
Training Epoch: 24 [7424/10284]	Loss: 0.2113	LR: 0.004000
Training Epoch: 24 [7680/10284]	Loss: 0.2206	LR: 0.004000
Training Epoch: 24 [7936/10284]	Loss: 0.1592	LR: 0.004000
Training Epoch: 24 [8192/10284]	Loss: 0.1390	LR: 0.004000
Training Epoch: 24 [8448/10284]	Loss: 0.1956	LR: 0.004000
Training Epoch: 24 [8704/10284]	Loss: 0.2225	LR: 0.004000
Training Epoch: 24 [8960/10284]	Loss: 0.1674	LR: 0.004000
Training Epoch: 24 [9216/10284]	Loss: 0.1795	LR: 0.004000
Training Epoch: 24 [9472/10284]	Loss: 0.1803	LR: 0.004000
Training Epoch: 24 [9728/10284]	Loss: 0.1732	LR: 0.004000
Training Epoch: 24 [9984/10284]	Loss: 0.1432	LR: 0.004000
Training Epoch: 24 [10240/10284]	Loss: 0.1507	LR: 0.004000
Training Epoch: 24 [10284/10284]	Loss: 0.1519	LR: 0.004000
Epoch 24 - Average Train Loss: 0.1715, Train Accuracy: 0.9290
Epoch 24 training time consumed: 152.94s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0006, Accuracy: 0.9380, Time consumed:8.20s
Saving weights file to checkpoint/retrain/ResNet18/Monday_28_July_2025_00h_41m_08s/ResNet18-MUCAC-seed8-ret75-24-best.pth
Training Epoch: 25 [256/10284]	Loss: 0.1283	LR: 0.004000
Training Epoch: 25 [512/10284]	Loss: 0.1993	LR: 0.004000
Training Epoch: 25 [768/10284]	Loss: 0.1056	LR: 0.004000
Training Epoch: 25 [1024/10284]	Loss: 0.1583	LR: 0.004000
Training Epoch: 25 [1280/10284]	Loss: 0.1481	LR: 0.004000
Training Epoch: 25 [1536/10284]	Loss: 0.1382	LR: 0.004000
Training Epoch: 25 [1792/10284]	Loss: 0.2526	LR: 0.004000
Training Epoch: 25 [2048/10284]	Loss: 0.1538	LR: 0.004000
Training Epoch: 25 [2304/10284]	Loss: 0.1639	LR: 0.004000
Training Epoch: 25 [2560/10284]	Loss: 0.1511	LR: 0.004000
Training Epoch: 25 [2816/10284]	Loss: 0.1118	LR: 0.004000
Training Epoch: 25 [3072/10284]	Loss: 0.1748	LR: 0.004000
Training Epoch: 25 [3328/10284]	Loss: 0.1608	LR: 0.004000
Training Epoch: 25 [3584/10284]	Loss: 0.1662	LR: 0.004000
Training Epoch: 25 [3840/10284]	Loss: 0.1744	LR: 0.004000
Training Epoch: 25 [4096/10284]	Loss: 0.1889	LR: 0.004000
Training Epoch: 25 [4352/10284]	Loss: 0.1589	LR: 0.004000
Training Epoch: 25 [4608/10284]	Loss: 0.2093	LR: 0.004000
Training Epoch: 25 [4864/10284]	Loss: 0.1858	LR: 0.004000
Training Epoch: 25 [5120/10284]	Loss: 0.1949	LR: 0.004000
Training Epoch: 25 [5376/10284]	Loss: 0.1608	LR: 0.004000
Training Epoch: 25 [5632/10284]	Loss: 0.1501	LR: 0.004000
Training Epoch: 25 [5888/10284]	Loss: 0.1658	LR: 0.004000
Training Epoch: 25 [6144/10284]	Loss: 0.1612	LR: 0.004000
Training Epoch: 25 [6400/10284]	Loss: 0.1148	LR: 0.004000
Training Epoch: 25 [6656/10284]	Loss: 0.1732	LR: 0.004000
Training Epoch: 25 [6912/10284]	Loss: 0.1695	LR: 0.004000
Training Epoch: 25 [7168/10284]	Loss: 0.2068	LR: 0.004000
Training Epoch: 25 [7424/10284]	Loss: 0.2024	LR: 0.004000
Training Epoch: 25 [7680/10284]	Loss: 0.1839	LR: 0.004000
Training Epoch: 25 [7936/10284]	Loss: 0.1904	LR: 0.004000
Training Epoch: 25 [8192/10284]	Loss: 0.1829	LR: 0.004000
Training Epoch: 25 [8448/10284]	Loss: 0.1493	LR: 0.004000
Training Epoch: 25 [8704/10284]	Loss: 0.1874	LR: 0.004000
Training Epoch: 25 [8960/10284]	Loss: 0.2106	LR: 0.004000
Training Epoch: 25 [9216/10284]	Loss: 0.1705	LR: 0.004000
Training Epoch: 25 [9472/10284]	Loss: 0.1502	LR: 0.004000
Training Epoch: 25 [9728/10284]	Loss: 0.1790	LR: 0.004000
Training Epoch: 25 [9984/10284]	Loss: 0.1370	LR: 0.004000
Training Epoch: 25 [10240/10284]	Loss: 0.1562	LR: 0.004000
Training Epoch: 25 [10284/10284]	Loss: 0.1064	LR: 0.004000
Epoch 25 - Average Train Loss: 0.1679, Train Accuracy: 0.9321
Epoch 25 training time consumed: 152.91s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0008, Accuracy: 0.9269, Time consumed:8.25s
Training Epoch: 26 [256/10284]	Loss: 0.1473	LR: 0.004000
Training Epoch: 26 [512/10284]	Loss: 0.1818	LR: 0.004000
Training Epoch: 26 [768/10284]	Loss: 0.1422	LR: 0.004000
Training Epoch: 26 [1024/10284]	Loss: 0.1557	LR: 0.004000
Training Epoch: 26 [1280/10284]	Loss: 0.1885	LR: 0.004000
Training Epoch: 26 [1536/10284]	Loss: 0.2372	LR: 0.004000
Training Epoch: 26 [1792/10284]	Loss: 0.1553	LR: 0.004000
Training Epoch: 26 [2048/10284]	Loss: 0.1778	LR: 0.004000
Training Epoch: 26 [2304/10284]	Loss: 0.1410	LR: 0.004000
Training Epoch: 26 [2560/10284]	Loss: 0.1702	LR: 0.004000
Training Epoch: 26 [2816/10284]	Loss: 0.1530	LR: 0.004000
Training Epoch: 26 [3072/10284]	Loss: 0.1454	LR: 0.004000
Training Epoch: 26 [3328/10284]	Loss: 0.1678	LR: 0.004000
Training Epoch: 26 [3584/10284]	Loss: 0.1284	LR: 0.004000
Training Epoch: 26 [3840/10284]	Loss: 0.1527	LR: 0.004000
Training Epoch: 26 [4096/10284]	Loss: 0.1741	LR: 0.004000
Training Epoch: 26 [4352/10284]	Loss: 0.1441	LR: 0.004000
Training Epoch: 26 [4608/10284]	Loss: 0.1867	LR: 0.004000
Training Epoch: 26 [4864/10284]	Loss: 0.2118	LR: 0.004000
Training Epoch: 26 [5120/10284]	Loss: 0.1490	LR: 0.004000
Training Epoch: 26 [5376/10284]	Loss: 0.2120	LR: 0.004000
Training Epoch: 26 [5632/10284]	Loss: 0.1263	LR: 0.004000
Training Epoch: 26 [5888/10284]	Loss: 0.2031	LR: 0.004000
Training Epoch: 26 [6144/10284]	Loss: 0.1428	LR: 0.004000
Training Epoch: 26 [6400/10284]	Loss: 0.1499	LR: 0.004000
Training Epoch: 26 [6656/10284]	Loss: 0.1782	LR: 0.004000
Training Epoch: 26 [6912/10284]	Loss: 0.1944	LR: 0.004000
Training Epoch: 26 [7168/10284]	Loss: 0.1649	LR: 0.004000
Training Epoch: 26 [7424/10284]	Loss: 0.2091	LR: 0.004000
Training Epoch: 26 [7680/10284]	Loss: 0.1746	LR: 0.004000
Training Epoch: 26 [7936/10284]	Loss: 0.1642	LR: 0.004000
Training Epoch: 26 [8192/10284]	Loss: 0.1727	LR: 0.004000
Training Epoch: 26 [8448/10284]	Loss: 0.1177	LR: 0.004000
Training Epoch: 26 [8704/10284]	Loss: 0.1746	LR: 0.004000
Training Epoch: 26 [8960/10284]	Loss: 0.2280	LR: 0.004000
Training Epoch: 26 [9216/10284]	Loss: 0.1333	LR: 0.004000
Training Epoch: 26 [9472/10284]	Loss: 0.1388	LR: 0.004000
Training Epoch: 26 [9728/10284]	Loss: 0.2028	LR: 0.004000
Training Epoch: 26 [9984/10284]	Loss: 0.1676	LR: 0.004000
Training Epoch: 26 [10240/10284]	Loss: 0.1468	LR: 0.004000
Training Epoch: 26 [10284/10284]	Loss: 0.2179	LR: 0.004000
Epoch 26 - Average Train Loss: 0.1680, Train Accuracy: 0.9326
Epoch 26 training time consumed: 152.85s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0007, Accuracy: 0.9361, Time consumed:8.25s
Training Epoch: 27 [256/10284]	Loss: 0.2203	LR: 0.004000
Training Epoch: 27 [512/10284]	Loss: 0.1401	LR: 0.004000
Training Epoch: 27 [768/10284]	Loss: 0.1796	LR: 0.004000
Training Epoch: 27 [1024/10284]	Loss: 0.1504	LR: 0.004000
Training Epoch: 27 [1280/10284]	Loss: 0.1645	LR: 0.004000
Training Epoch: 27 [1536/10284]	Loss: 0.1579	LR: 0.004000
Training Epoch: 27 [1792/10284]	Loss: 0.1554	LR: 0.004000
Training Epoch: 27 [2048/10284]	Loss: 0.1550	LR: 0.004000
Training Epoch: 27 [2304/10284]	Loss: 0.1678	LR: 0.004000
Training Epoch: 27 [2560/10284]	Loss: 0.1367	LR: 0.004000
Training Epoch: 27 [2816/10284]	Loss: 0.2016	LR: 0.004000
Training Epoch: 27 [3072/10284]	Loss: 0.1164	LR: 0.004000
Training Epoch: 27 [3328/10284]	Loss: 0.1802	LR: 0.004000
Training Epoch: 27 [3584/10284]	Loss: 0.1430	LR: 0.004000
Training Epoch: 27 [3840/10284]	Loss: 0.1673	LR: 0.004000
Training Epoch: 27 [4096/10284]	Loss: 0.1517	LR: 0.004000
Training Epoch: 27 [4352/10284]	Loss: 0.1474	LR: 0.004000
Training Epoch: 27 [4608/10284]	Loss: 0.1678	LR: 0.004000
Training Epoch: 27 [4864/10284]	Loss: 0.1550	LR: 0.004000
Training Epoch: 27 [5120/10284]	Loss: 0.1956	LR: 0.004000
Training Epoch: 27 [5376/10284]	Loss: 0.1727	LR: 0.004000
Training Epoch: 27 [5632/10284]	Loss: 0.1572	LR: 0.004000
Training Epoch: 27 [5888/10284]	Loss: 0.1845	LR: 0.004000
Training Epoch: 27 [6144/10284]	Loss: 0.1487	LR: 0.004000
Training Epoch: 27 [6400/10284]	Loss: 0.1784	LR: 0.004000
Training Epoch: 27 [6656/10284]	Loss: 0.1984	LR: 0.004000
Training Epoch: 27 [6912/10284]	Loss: 0.1558	LR: 0.004000
Training Epoch: 27 [7168/10284]	Loss: 0.1095	LR: 0.004000
Training Epoch: 27 [7424/10284]	Loss: 0.1883	LR: 0.004000
Training Epoch: 27 [7680/10284]	Loss: 0.1674	LR: 0.004000
Training Epoch: 27 [7936/10284]	Loss: 0.2334	LR: 0.004000
Training Epoch: 27 [8192/10284]	Loss: 0.2171	LR: 0.004000
Training Epoch: 27 [8448/10284]	Loss: 0.1413	LR: 0.004000
Training Epoch: 27 [8704/10284]	Loss: 0.1723	LR: 0.004000
Training Epoch: 27 [8960/10284]	Loss: 0.1633	LR: 0.004000
Training Epoch: 27 [9216/10284]	Loss: 0.1667	LR: 0.004000
Training Epoch: 27 [9472/10284]	Loss: 0.1292	LR: 0.004000
Training Epoch: 27 [9728/10284]	Loss: 0.1793	LR: 0.004000
Training Epoch: 27 [9984/10284]	Loss: 0.1876	LR: 0.004000
Training Epoch: 27 [10240/10284]	Loss: 0.1429	LR: 0.004000
Training Epoch: 27 [10284/10284]	Loss: 0.0323	LR: 0.004000
Epoch 27 - Average Train Loss: 0.1656, Train Accuracy: 0.9328
Epoch 27 training time consumed: 152.90s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0007, Accuracy: 0.9404, Time consumed:8.20s
Saving weights file to checkpoint/retrain/ResNet18/Monday_28_July_2025_00h_41m_08s/ResNet18-MUCAC-seed8-ret75-27-best.pth
Training Epoch: 28 [256/10284]	Loss: 0.1847	LR: 0.004000
Training Epoch: 28 [512/10284]	Loss: 0.2271	LR: 0.004000
Training Epoch: 28 [768/10284]	Loss: 0.1549	LR: 0.004000
Training Epoch: 28 [1024/10284]	Loss: 0.1700	LR: 0.004000
Training Epoch: 28 [1280/10284]	Loss: 0.2074	LR: 0.004000
Training Epoch: 28 [1536/10284]	Loss: 0.1930	LR: 0.004000
Training Epoch: 28 [1792/10284]	Loss: 0.1428	LR: 0.004000
Training Epoch: 28 [2048/10284]	Loss: 0.1618	LR: 0.004000
Training Epoch: 28 [2304/10284]	Loss: 0.1790	LR: 0.004000
Training Epoch: 28 [2560/10284]	Loss: 0.1515	LR: 0.004000
Training Epoch: 28 [2816/10284]	Loss: 0.1359	LR: 0.004000
Training Epoch: 28 [3072/10284]	Loss: 0.0929	LR: 0.004000
Training Epoch: 28 [3328/10284]	Loss: 0.2112	LR: 0.004000
Training Epoch: 28 [3584/10284]	Loss: 0.1630	LR: 0.004000
Training Epoch: 28 [3840/10284]	Loss: 0.1790	LR: 0.004000
Training Epoch: 28 [4096/10284]	Loss: 0.1926	LR: 0.004000
Training Epoch: 28 [4352/10284]	Loss: 0.1609	LR: 0.004000
Training Epoch: 28 [4608/10284]	Loss: 0.1490	LR: 0.004000
Training Epoch: 28 [4864/10284]	Loss: 0.1475	LR: 0.004000
Training Epoch: 28 [5120/10284]	Loss: 0.1408	LR: 0.004000
Training Epoch: 28 [5376/10284]	Loss: 0.1407	LR: 0.004000
Training Epoch: 28 [5632/10284]	Loss: 0.1510	LR: 0.004000
Training Epoch: 28 [5888/10284]	Loss: 0.1577	LR: 0.004000
Training Epoch: 28 [6144/10284]	Loss: 0.1579	LR: 0.004000
Training Epoch: 28 [6400/10284]	Loss: 0.1878	LR: 0.004000
Training Epoch: 28 [6656/10284]	Loss: 0.1388	LR: 0.004000
Training Epoch: 28 [6912/10284]	Loss: 0.1312	LR: 0.004000
Training Epoch: 28 [7168/10284]	Loss: 0.1448	LR: 0.004000
Training Epoch: 28 [7424/10284]	Loss: 0.2112	LR: 0.004000
Training Epoch: 28 [7680/10284]	Loss: 0.1840	LR: 0.004000
Training Epoch: 28 [7936/10284]	Loss: 0.1374	LR: 0.004000
Training Epoch: 28 [8192/10284]	Loss: 0.1167	LR: 0.004000
Training Epoch: 28 [8448/10284]	Loss: 0.1958	LR: 0.004000
Training Epoch: 28 [8704/10284]	Loss: 0.1576	LR: 0.004000
Training Epoch: 28 [8960/10284]	Loss: 0.1368	LR: 0.004000
Training Epoch: 28 [9216/10284]	Loss: 0.1259	LR: 0.004000
Training Epoch: 28 [9472/10284]	Loss: 0.1394	LR: 0.004000
Training Epoch: 28 [9728/10284]	Loss: 0.1646	LR: 0.004000
Training Epoch: 28 [9984/10284]	Loss: 0.1629	LR: 0.004000
Training Epoch: 28 [10240/10284]	Loss: 0.1273	LR: 0.004000
Training Epoch: 28 [10284/10284]	Loss: 0.2531	LR: 0.004000
Epoch 28 - Average Train Loss: 0.1608, Train Accuracy: 0.9356
Epoch 28 training time consumed: 152.61s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0006, Accuracy: 0.9409, Time consumed:8.06s
Saving weights file to checkpoint/retrain/ResNet18/Monday_28_July_2025_00h_41m_08s/ResNet18-MUCAC-seed8-ret75-28-best.pth
Training Epoch: 29 [256/10284]	Loss: 0.1558	LR: 0.004000
Training Epoch: 29 [512/10284]	Loss: 0.1604	LR: 0.004000
Training Epoch: 29 [768/10284]	Loss: 0.1539	LR: 0.004000
Training Epoch: 29 [1024/10284]	Loss: 0.1843	LR: 0.004000
Training Epoch: 29 [1280/10284]	Loss: 0.1981	LR: 0.004000
Training Epoch: 29 [1536/10284]	Loss: 0.1606	LR: 0.004000
Training Epoch: 29 [1792/10284]	Loss: 0.1566	LR: 0.004000
Training Epoch: 29 [2048/10284]	Loss: 0.1665	LR: 0.004000
Training Epoch: 29 [2304/10284]	Loss: 0.1692	LR: 0.004000
Training Epoch: 29 [2560/10284]	Loss: 0.2237	LR: 0.004000
Training Epoch: 29 [2816/10284]	Loss: 0.1420	LR: 0.004000
Training Epoch: 29 [3072/10284]	Loss: 0.1713	LR: 0.004000
Training Epoch: 29 [3328/10284]	Loss: 0.1919	LR: 0.004000
Training Epoch: 29 [3584/10284]	Loss: 0.1730	LR: 0.004000
Training Epoch: 29 [3840/10284]	Loss: 0.1640	LR: 0.004000
Training Epoch: 29 [4096/10284]	Loss: 0.1402	LR: 0.004000
Training Epoch: 29 [4352/10284]	Loss: 0.1331	LR: 0.004000
Training Epoch: 29 [4608/10284]	Loss: 0.2194	LR: 0.004000
Training Epoch: 29 [4864/10284]	Loss: 0.1591	LR: 0.004000
Training Epoch: 29 [5120/10284]	Loss: 0.1756	LR: 0.004000
Training Epoch: 29 [5376/10284]	Loss: 0.1152	LR: 0.004000
Training Epoch: 29 [5632/10284]	Loss: 0.1202	LR: 0.004000
Training Epoch: 29 [5888/10284]	Loss: 0.2476	LR: 0.004000
Training Epoch: 29 [6144/10284]	Loss: 0.1284	LR: 0.004000
Training Epoch: 29 [6400/10284]	Loss: 0.1620	LR: 0.004000
Training Epoch: 29 [6656/10284]	Loss: 0.1552	LR: 0.004000
Training Epoch: 29 [6912/10284]	Loss: 0.1453	LR: 0.004000
Training Epoch: 29 [7168/10284]	Loss: 0.1279	LR: 0.004000
Training Epoch: 29 [7424/10284]	Loss: 0.1601	LR: 0.004000
Training Epoch: 29 [7680/10284]	Loss: 0.1469	LR: 0.004000
Training Epoch: 29 [7936/10284]	Loss: 0.1818	LR: 0.004000
Training Epoch: 29 [8192/10284]	Loss: 0.1819	LR: 0.004000
Training Epoch: 29 [8448/10284]	Loss: 0.1552	LR: 0.004000
Training Epoch: 29 [8704/10284]	Loss: 0.1773	LR: 0.004000
Training Epoch: 29 [8960/10284]	Loss: 0.1140	LR: 0.004000
Training Epoch: 29 [9216/10284]	Loss: 0.1200	LR: 0.004000
Training Epoch: 29 [9472/10284]	Loss: 0.1737	LR: 0.004000
Training Epoch: 29 [9728/10284]	Loss: 0.1645	LR: 0.004000
Training Epoch: 29 [9984/10284]	Loss: 0.1653	LR: 0.004000
Training Epoch: 29 [10240/10284]	Loss: 0.1337	LR: 0.004000
Training Epoch: 29 [10284/10284]	Loss: 0.1041	LR: 0.004000
Epoch 29 - Average Train Loss: 0.1616, Train Accuracy: 0.9319
Epoch 29 training time consumed: 153.37s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0006, Accuracy: 0.9429, Time consumed:8.32s
Saving weights file to checkpoint/retrain/ResNet18/Monday_28_July_2025_00h_41m_08s/ResNet18-MUCAC-seed8-ret75-29-best.pth
Training Epoch: 30 [256/10284]	Loss: 0.1347	LR: 0.004000
Training Epoch: 30 [512/10284]	Loss: 0.1697	LR: 0.004000
Training Epoch: 30 [768/10284]	Loss: 0.1308	LR: 0.004000
Training Epoch: 30 [1024/10284]	Loss: 0.1537	LR: 0.004000
Training Epoch: 30 [1280/10284]	Loss: 0.1151	LR: 0.004000
Training Epoch: 30 [1536/10284]	Loss: 0.1489	LR: 0.004000
Training Epoch: 30 [1792/10284]	Loss: 0.1570	LR: 0.004000
Training Epoch: 30 [2048/10284]	Loss: 0.1419	LR: 0.004000
Training Epoch: 30 [2304/10284]	Loss: 0.1626	LR: 0.004000
Training Epoch: 30 [2560/10284]	Loss: 0.1097	LR: 0.004000
Training Epoch: 30 [2816/10284]	Loss: 0.1384	LR: 0.004000
Training Epoch: 30 [3072/10284]	Loss: 0.1336	LR: 0.004000
Training Epoch: 30 [3328/10284]	Loss: 0.1399	LR: 0.004000
Training Epoch: 30 [3584/10284]	Loss: 0.1706	LR: 0.004000
Training Epoch: 30 [3840/10284]	Loss: 0.2372	LR: 0.004000
Training Epoch: 30 [4096/10284]	Loss: 0.1094	LR: 0.004000
Training Epoch: 30 [4352/10284]	Loss: 0.1297	LR: 0.004000
Training Epoch: 30 [4608/10284]	Loss: 0.1375	LR: 0.004000
Training Epoch: 30 [4864/10284]	Loss: 0.1675	LR: 0.004000
Training Epoch: 30 [5120/10284]	Loss: 0.1342	LR: 0.004000
Training Epoch: 30 [5376/10284]	Loss: 0.1635	LR: 0.004000
Training Epoch: 30 [5632/10284]	Loss: 0.1799	LR: 0.004000
Training Epoch: 30 [5888/10284]	Loss: 0.2160	LR: 0.004000
Training Epoch: 30 [6144/10284]	Loss: 0.1911	LR: 0.004000
Training Epoch: 30 [6400/10284]	Loss: 0.2079	LR: 0.004000
Training Epoch: 30 [6656/10284]	Loss: 0.1191	LR: 0.004000
Training Epoch: 30 [6912/10284]	Loss: 0.1716	LR: 0.004000
Training Epoch: 30 [7168/10284]	Loss: 0.1354	LR: 0.004000
Training Epoch: 30 [7424/10284]	Loss: 0.1537	LR: 0.004000
Training Epoch: 30 [7680/10284]	Loss: 0.1767	LR: 0.004000
Training Epoch: 30 [7936/10284]	Loss: 0.1592	LR: 0.004000
Training Epoch: 30 [8192/10284]	Loss: 0.1757	LR: 0.004000
Training Epoch: 30 [8448/10284]	Loss: 0.1312	LR: 0.004000
Training Epoch: 30 [8704/10284]	Loss: 0.1486	LR: 0.004000
Training Epoch: 30 [8960/10284]	Loss: 0.2205	LR: 0.004000
Training Epoch: 30 [9216/10284]	Loss: 0.1165	LR: 0.004000
Training Epoch: 30 [9472/10284]	Loss: 0.1502	LR: 0.004000
Training Epoch: 30 [9728/10284]	Loss: 0.1046	LR: 0.004000
Training Epoch: 30 [9984/10284]	Loss: 0.1222	LR: 0.004000
Training Epoch: 30 [10240/10284]	Loss: 0.1585	LR: 0.004000
Training Epoch: 30 [10284/10284]	Loss: 0.2153	LR: 0.004000
Epoch 30 - Average Train Loss: 0.1534, Train Accuracy: 0.9368
Epoch 30 training time consumed: 152.47s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0011, Accuracy: 0.8998, Time consumed:8.22s
Training Epoch: 31 [256/10284]	Loss: 0.1345	LR: 0.004000
Training Epoch: 31 [512/10284]	Loss: 0.1587	LR: 0.004000
Training Epoch: 31 [768/10284]	Loss: 0.1459	LR: 0.004000
Training Epoch: 31 [1024/10284]	Loss: 0.1696	LR: 0.004000
Training Epoch: 31 [1280/10284]	Loss: 0.1358	LR: 0.004000
Training Epoch: 31 [1536/10284]	Loss: 0.1587	LR: 0.004000
Training Epoch: 31 [1792/10284]	Loss: 0.1646	LR: 0.004000
Training Epoch: 31 [2048/10284]	Loss: 0.1981	LR: 0.004000
Training Epoch: 31 [2304/10284]	Loss: 0.1532	LR: 0.004000
Training Epoch: 31 [2560/10284]	Loss: 0.1846	LR: 0.004000
Training Epoch: 31 [2816/10284]	Loss: 0.1366	LR: 0.004000
Training Epoch: 31 [3072/10284]	Loss: 0.1820	LR: 0.004000
Training Epoch: 31 [3328/10284]	Loss: 0.1551	LR: 0.004000
Training Epoch: 31 [3584/10284]	Loss: 0.1088	LR: 0.004000
Training Epoch: 31 [3840/10284]	Loss: 0.1486	LR: 0.004000
Training Epoch: 31 [4096/10284]	Loss: 0.1974	LR: 0.004000
Training Epoch: 31 [4352/10284]	Loss: 0.1892	LR: 0.004000
Training Epoch: 31 [4608/10284]	Loss: 0.1925	LR: 0.004000
Training Epoch: 31 [4864/10284]	Loss: 0.1117	LR: 0.004000
Training Epoch: 31 [5120/10284]	Loss: 0.1823	LR: 0.004000
Training Epoch: 31 [5376/10284]	Loss: 0.1473	LR: 0.004000
Training Epoch: 31 [5632/10284]	Loss: 0.1383	LR: 0.004000
Training Epoch: 31 [5888/10284]	Loss: 0.1386	LR: 0.004000
Training Epoch: 31 [6144/10284]	Loss: 0.1463	LR: 0.004000
Training Epoch: 31 [6400/10284]	Loss: 0.1765	LR: 0.004000
Training Epoch: 31 [6656/10284]	Loss: 0.1432	LR: 0.004000
Training Epoch: 31 [6912/10284]	Loss: 0.1202	LR: 0.004000
Training Epoch: 31 [7168/10284]	Loss: 0.1577	LR: 0.004000
Training Epoch: 31 [7424/10284]	Loss: 0.2062	LR: 0.004000
Training Epoch: 31 [7680/10284]	Loss: 0.1036	LR: 0.004000
Training Epoch: 31 [7936/10284]	Loss: 0.1256	LR: 0.004000
Training Epoch: 31 [8192/10284]	Loss: 0.2292	LR: 0.004000
Training Epoch: 31 [8448/10284]	Loss: 0.1614	LR: 0.004000
Training Epoch: 31 [8704/10284]	Loss: 0.2000	LR: 0.004000
Training Epoch: 31 [8960/10284]	Loss: 0.1575	LR: 0.004000
Training Epoch: 31 [9216/10284]	Loss: 0.1040	LR: 0.004000
Training Epoch: 31 [9472/10284]	Loss: 0.2398	LR: 0.004000
Training Epoch: 31 [9728/10284]	Loss: 0.1600	LR: 0.004000
Training Epoch: 31 [9984/10284]	Loss: 0.1688	LR: 0.004000
Training Epoch: 31 [10240/10284]	Loss: 0.1206	LR: 0.004000
Training Epoch: 31 [10284/10284]	Loss: 0.1342	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1587, Train Accuracy: 0.9340
Epoch 31 training time consumed: 153.00s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0007, Accuracy: 0.9288, Time consumed:8.07s
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: 93.00960540771484
Retain Accuracy: 92.18836975097656
Zero-Retain Forget (ZRF): 0.8271461725234985
Membership Inference Attack (MIA): 0.3522727272727273
Forget vs Retain Membership Inference Attack (MIA): 0.5
Forget vs Test Membership Inference Attack (MIA): 0.5754716981132075
Test vs Retain Membership Inference Attack (MIA): 0.5278450363196125
Train vs Test Membership Inference Attack (MIA): 0.5205811138014528
Forget Set Accuracy (Df): 89.0625
Method Execution Time: 6207.77 seconds
