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

📌 S Retain class distribution for seed 7:
Class 0: 5284
Class 1: 4210

📌 S Forget class distribution for seed 7:
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: 0.8780	LR: 0.000000
Training Epoch: 1 [512/10284]	Loss: 0.9323	LR: 0.002439
Training Epoch: 1 [768/10284]	Loss: 0.7403	LR: 0.004878
Training Epoch: 1 [1024/10284]	Loss: 0.9840	LR: 0.007317
Training Epoch: 1 [1280/10284]	Loss: 1.4835	LR: 0.009756
Training Epoch: 1 [1536/10284]	Loss: 0.9439	LR: 0.012195
Training Epoch: 1 [1792/10284]	Loss: 1.3598	LR: 0.014634
Training Epoch: 1 [2048/10284]	Loss: 1.0889	LR: 0.017073
Training Epoch: 1 [2304/10284]	Loss: 0.8866	LR: 0.019512
Training Epoch: 1 [2560/10284]	Loss: 1.1911	LR: 0.021951
Training Epoch: 1 [2816/10284]	Loss: 0.7384	LR: 0.024390
Training Epoch: 1 [3072/10284]	Loss: 0.8886	LR: 0.026829
Training Epoch: 1 [3328/10284]	Loss: 0.7736	LR: 0.029268
Training Epoch: 1 [3584/10284]	Loss: 0.8078	LR: 0.031707
Training Epoch: 1 [3840/10284]	Loss: 0.8452	LR: 0.034146
Training Epoch: 1 [4096/10284]	Loss: 0.7224	LR: 0.036585
Training Epoch: 1 [4352/10284]	Loss: 0.9103	LR: 0.039024
Training Epoch: 1 [4608/10284]	Loss: 0.7368	LR: 0.041463
Training Epoch: 1 [4864/10284]	Loss: 0.7473	LR: 0.043902
Training Epoch: 1 [5120/10284]	Loss: 0.7162	LR: 0.046341
Training Epoch: 1 [5376/10284]	Loss: 0.7655	LR: 0.048780
Training Epoch: 1 [5632/10284]	Loss: 0.7221	LR: 0.051220
Training Epoch: 1 [5888/10284]	Loss: 0.6925	LR: 0.053659
Training Epoch: 1 [6144/10284]	Loss: 0.6871	LR: 0.056098
Training Epoch: 1 [6400/10284]	Loss: 0.6912	LR: 0.058537
Training Epoch: 1 [6656/10284]	Loss: 0.6782	LR: 0.060976
Training Epoch: 1 [6912/10284]	Loss: 0.6659	LR: 0.063415
Training Epoch: 1 [7168/10284]	Loss: 0.6484	LR: 0.065854
Training Epoch: 1 [7424/10284]	Loss: 0.7886	LR: 0.068293
Training Epoch: 1 [7680/10284]	Loss: 0.6605	LR: 0.070732
Training Epoch: 1 [7936/10284]	Loss: 0.7578	LR: 0.073171
Training Epoch: 1 [8192/10284]	Loss: 0.6928	LR: 0.075610
Training Epoch: 1 [8448/10284]	Loss: 0.7296	LR: 0.078049
Training Epoch: 1 [8704/10284]	Loss: 0.7149	LR: 0.080488
Training Epoch: 1 [8960/10284]	Loss: 0.7062	LR: 0.082927
Training Epoch: 1 [9216/10284]	Loss: 0.7045	LR: 0.085366
Training Epoch: 1 [9472/10284]	Loss: 0.7000	LR: 0.087805
Training Epoch: 1 [9728/10284]	Loss: 0.7630	LR: 0.090244
Training Epoch: 1 [9984/10284]	Loss: 0.7713	LR: 0.092683
Training Epoch: 1 [10240/10284]	Loss: 0.7856	LR: 0.095122
Training Epoch: 1 [10284/10284]	Loss: 0.9550	LR: 0.097561
Epoch 1 - Average Train Loss: 0.8181, Train Accuracy: 0.5318
Epoch 1 training time consumed: 2466.46s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0035, Accuracy: 0.5569, Time consumed:126.08s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-1-best.pth
Training Epoch: 2 [256/10284]	Loss: 0.8900	LR: 0.100000
Training Epoch: 2 [512/10284]	Loss: 1.3313	LR: 0.100000
Training Epoch: 2 [768/10284]	Loss: 1.1565	LR: 0.100000
Training Epoch: 2 [1024/10284]	Loss: 0.7325	LR: 0.100000
Training Epoch: 2 [1280/10284]	Loss: 0.9298	LR: 0.100000
Training Epoch: 2 [1536/10284]	Loss: 1.1387	LR: 0.100000
Training Epoch: 2 [1792/10284]	Loss: 0.8433	LR: 0.100000
Training Epoch: 2 [2048/10284]	Loss: 0.7690	LR: 0.100000
Training Epoch: 2 [2304/10284]	Loss: 0.7700	LR: 0.100000
Training Epoch: 2 [2560/10284]	Loss: 0.9339	LR: 0.100000
Training Epoch: 2 [2816/10284]	Loss: 1.0462	LR: 0.100000
Training Epoch: 2 [3072/10284]	Loss: 0.9077	LR: 0.100000
Training Epoch: 2 [3328/10284]	Loss: 0.7033	LR: 0.100000
Training Epoch: 2 [3584/10284]	Loss: 0.7220	LR: 0.100000
Training Epoch: 2 [3840/10284]	Loss: 0.7260	LR: 0.100000
Training Epoch: 2 [4096/10284]	Loss: 0.7453	LR: 0.100000
Training Epoch: 2 [4352/10284]	Loss: 0.7623	LR: 0.100000
Training Epoch: 2 [4608/10284]	Loss: 0.8455	LR: 0.100000
Training Epoch: 2 [4864/10284]	Loss: 0.7059	LR: 0.100000
Training Epoch: 2 [5120/10284]	Loss: 1.0559	LR: 0.100000
Training Epoch: 2 [5376/10284]	Loss: 0.8554	LR: 0.100000
Training Epoch: 2 [5632/10284]	Loss: 0.7669	LR: 0.100000
Training Epoch: 2 [5888/10284]	Loss: 0.6909	LR: 0.100000
Training Epoch: 2 [6144/10284]	Loss: 0.7420	LR: 0.100000
Training Epoch: 2 [6400/10284]	Loss: 0.6879	LR: 0.100000
Training Epoch: 2 [6656/10284]	Loss: 0.6985	LR: 0.100000
Training Epoch: 2 [6912/10284]	Loss: 0.7173	LR: 0.100000
Training Epoch: 2 [7168/10284]	Loss: 0.6864	LR: 0.100000
Training Epoch: 2 [7424/10284]	Loss: 0.6875	LR: 0.100000
Training Epoch: 2 [7680/10284]	Loss: 0.7056	LR: 0.100000
Training Epoch: 2 [7936/10284]	Loss: 0.6836	LR: 0.100000
Training Epoch: 2 [8192/10284]	Loss: 0.6924	LR: 0.100000
Training Epoch: 2 [8448/10284]	Loss: 0.6833	LR: 0.100000
Training Epoch: 2 [8704/10284]	Loss: 0.7163	LR: 0.100000
Training Epoch: 2 [8960/10284]	Loss: 0.6873	LR: 0.100000
Training Epoch: 2 [9216/10284]	Loss: 0.6969	LR: 0.100000
Training Epoch: 2 [9472/10284]	Loss: 0.7562	LR: 0.100000
Training Epoch: 2 [9728/10284]	Loss: 0.6869	LR: 0.100000
Training Epoch: 2 [9984/10284]	Loss: 0.7174	LR: 0.100000
Training Epoch: 2 [10240/10284]	Loss: 0.7419	LR: 0.100000
Training Epoch: 2 [10284/10284]	Loss: 0.6473	LR: 0.100000
Epoch 2 - Average Train Loss: 0.7997, Train Accuracy: 0.5176
Epoch 2 training time consumed: 153.54s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0032, Accuracy: 0.5559, Time consumed:8.19s
Training Epoch: 3 [256/10284]	Loss: 0.6596	LR: 0.100000
Training Epoch: 3 [512/10284]	Loss: 0.6815	LR: 0.100000
Training Epoch: 3 [768/10284]	Loss: 0.6802	LR: 0.100000
Training Epoch: 3 [1024/10284]	Loss: 0.7079	LR: 0.100000
Training Epoch: 3 [1280/10284]	Loss: 0.6574	LR: 0.100000
Training Epoch: 3 [1536/10284]	Loss: 0.6950	LR: 0.100000
Training Epoch: 3 [1792/10284]	Loss: 0.6965	LR: 0.100000
Training Epoch: 3 [2048/10284]	Loss: 0.6706	LR: 0.100000
Training Epoch: 3 [2304/10284]	Loss: 0.7061	LR: 0.100000
Training Epoch: 3 [2560/10284]	Loss: 0.7201	LR: 0.100000
Training Epoch: 3 [2816/10284]	Loss: 0.6967	LR: 0.100000
Training Epoch: 3 [3072/10284]	Loss: 0.6725	LR: 0.100000
Training Epoch: 3 [3328/10284]	Loss: 0.7014	LR: 0.100000
Training Epoch: 3 [3584/10284]	Loss: 0.6765	LR: 0.100000
Training Epoch: 3 [3840/10284]	Loss: 0.6830	LR: 0.100000
Training Epoch: 3 [4096/10284]	Loss: 0.6967	LR: 0.100000
Training Epoch: 3 [4352/10284]	Loss: 0.7056	LR: 0.100000
Training Epoch: 3 [4608/10284]	Loss: 0.6767	LR: 0.100000
Training Epoch: 3 [4864/10284]	Loss: 0.6844	LR: 0.100000
Training Epoch: 3 [5120/10284]	Loss: 0.7123	LR: 0.100000
Training Epoch: 3 [5376/10284]	Loss: 0.6951	LR: 0.100000
Training Epoch: 3 [5632/10284]	Loss: 0.7237	LR: 0.100000
Training Epoch: 3 [5888/10284]	Loss: 0.7022	LR: 0.100000
Training Epoch: 3 [6144/10284]	Loss: 0.6786	LR: 0.100000
Training Epoch: 3 [6400/10284]	Loss: 0.7261	LR: 0.100000
Training Epoch: 3 [6656/10284]	Loss: 0.6744	LR: 0.100000
Training Epoch: 3 [6912/10284]	Loss: 0.7088	LR: 0.100000
Training Epoch: 3 [7168/10284]	Loss: 0.6739	LR: 0.100000
Training Epoch: 3 [7424/10284]	Loss: 0.7262	LR: 0.100000
Training Epoch: 3 [7680/10284]	Loss: 0.6827	LR: 0.100000
Training Epoch: 3 [7936/10284]	Loss: 0.6962	LR: 0.100000
Training Epoch: 3 [8192/10284]	Loss: 0.6838	LR: 0.100000
Training Epoch: 3 [8448/10284]	Loss: 0.6603	LR: 0.100000
Training Epoch: 3 [8704/10284]	Loss: 0.6842	LR: 0.100000
Training Epoch: 3 [8960/10284]	Loss: 0.6609	LR: 0.100000
Training Epoch: 3 [9216/10284]	Loss: 0.6735	LR: 0.100000
Training Epoch: 3 [9472/10284]	Loss: 0.6899	LR: 0.100000
Training Epoch: 3 [9728/10284]	Loss: 0.6935	LR: 0.100000
Training Epoch: 3 [9984/10284]	Loss: 0.6745	LR: 0.100000
Training Epoch: 3 [10240/10284]	Loss: 0.6805	LR: 0.100000
Training Epoch: 3 [10284/10284]	Loss: 0.6923	LR: 0.100000
Epoch 3 - Average Train Loss: 0.6893, Train Accuracy: 0.5595
Epoch 3 training time consumed: 153.14s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0030, Accuracy: 0.5792, Time consumed:8.17s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-3-best.pth
Training Epoch: 4 [256/10284]	Loss: 0.6778	LR: 0.100000
Training Epoch: 4 [512/10284]	Loss: 0.6882	LR: 0.100000
Training Epoch: 4 [768/10284]	Loss: 0.6900	LR: 0.100000
Training Epoch: 4 [1024/10284]	Loss: 0.6865	LR: 0.100000
Training Epoch: 4 [1280/10284]	Loss: 0.6896	LR: 0.100000
Training Epoch: 4 [1536/10284]	Loss: 0.6715	LR: 0.100000
Training Epoch: 4 [1792/10284]	Loss: 0.6909	LR: 0.100000
Training Epoch: 4 [2048/10284]	Loss: 0.6871	LR: 0.100000
Training Epoch: 4 [2304/10284]	Loss: 0.6760	LR: 0.100000
Training Epoch: 4 [2560/10284]	Loss: 0.6606	LR: 0.100000
Training Epoch: 4 [2816/10284]	Loss: 0.6881	LR: 0.100000
Training Epoch: 4 [3072/10284]	Loss: 0.6674	LR: 0.100000
Training Epoch: 4 [3328/10284]	Loss: 0.6718	LR: 0.100000
Training Epoch: 4 [3584/10284]	Loss: 0.6772	LR: 0.100000
Training Epoch: 4 [3840/10284]	Loss: 0.6344	LR: 0.100000
Training Epoch: 4 [4096/10284]	Loss: 0.6917	LR: 0.100000
Training Epoch: 4 [4352/10284]	Loss: 0.6834	LR: 0.100000
Training Epoch: 4 [4608/10284]	Loss: 0.6714	LR: 0.100000
Training Epoch: 4 [4864/10284]	Loss: 0.6516	LR: 0.100000
Training Epoch: 4 [5120/10284]	Loss: 0.6655	LR: 0.100000
Training Epoch: 4 [5376/10284]	Loss: 0.6786	LR: 0.100000
Training Epoch: 4 [5632/10284]	Loss: 0.6664	LR: 0.100000
Training Epoch: 4 [5888/10284]	Loss: 0.6748	LR: 0.100000
Training Epoch: 4 [6144/10284]	Loss: 0.6646	LR: 0.100000
Training Epoch: 4 [6400/10284]	Loss: 0.6697	LR: 0.100000
Training Epoch: 4 [6656/10284]	Loss: 0.6776	LR: 0.100000
Training Epoch: 4 [6912/10284]	Loss: 0.6776	LR: 0.100000
Training Epoch: 4 [7168/10284]	Loss: 0.6792	LR: 0.100000
Training Epoch: 4 [7424/10284]	Loss: 0.6778	LR: 0.100000
Training Epoch: 4 [7680/10284]	Loss: 0.6971	LR: 0.100000
Training Epoch: 4 [7936/10284]	Loss: 0.6645	LR: 0.100000
Training Epoch: 4 [8192/10284]	Loss: 0.6464	LR: 0.100000
Training Epoch: 4 [8448/10284]	Loss: 0.6736	LR: 0.100000
Training Epoch: 4 [8704/10284]	Loss: 0.6527	LR: 0.100000
Training Epoch: 4 [8960/10284]	Loss: 0.6598	LR: 0.100000
Training Epoch: 4 [9216/10284]	Loss: 0.6947	LR: 0.100000
Training Epoch: 4 [9472/10284]	Loss: 0.6731	LR: 0.100000
Training Epoch: 4 [9728/10284]	Loss: 0.6626	LR: 0.100000
Training Epoch: 4 [9984/10284]	Loss: 0.6669	LR: 0.100000
Training Epoch: 4 [10240/10284]	Loss: 0.7168	LR: 0.100000
Training Epoch: 4 [10284/10284]	Loss: 0.6978	LR: 0.100000
Epoch 4 - Average Train Loss: 0.6750, Train Accuracy: 0.5794
Epoch 4 training time consumed: 152.96s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0030, Accuracy: 0.6068, Time consumed:8.10s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-4-best.pth
Training Epoch: 5 [256/10284]	Loss: 0.6463	LR: 0.100000
Training Epoch: 5 [512/10284]	Loss: 0.7060	LR: 0.100000
Training Epoch: 5 [768/10284]	Loss: 0.7298	LR: 0.100000
Training Epoch: 5 [1024/10284]	Loss: 0.6982	LR: 0.100000
Training Epoch: 5 [1280/10284]	Loss: 0.6726	LR: 0.100000
Training Epoch: 5 [1536/10284]	Loss: 0.6683	LR: 0.100000
Training Epoch: 5 [1792/10284]	Loss: 0.7284	LR: 0.100000
Training Epoch: 5 [2048/10284]	Loss: 0.6919	LR: 0.100000
Training Epoch: 5 [2304/10284]	Loss: 0.7344	LR: 0.100000
Training Epoch: 5 [2560/10284]	Loss: 0.6388	LR: 0.100000
Training Epoch: 5 [2816/10284]	Loss: 0.6712	LR: 0.100000
Training Epoch: 5 [3072/10284]	Loss: 0.6105	LR: 0.100000
Training Epoch: 5 [3328/10284]	Loss: 0.6654	LR: 0.100000
Training Epoch: 5 [3584/10284]	Loss: 0.6468	LR: 0.100000
Training Epoch: 5 [3840/10284]	Loss: 0.7146	LR: 0.100000
Training Epoch: 5 [4096/10284]	Loss: 0.6463	LR: 0.100000
Training Epoch: 5 [4352/10284]	Loss: 0.6917	LR: 0.100000
Training Epoch: 5 [4608/10284]	Loss: 0.6719	LR: 0.100000
Training Epoch: 5 [4864/10284]	Loss: 0.6804	LR: 0.100000
Training Epoch: 5 [5120/10284]	Loss: 0.6598	LR: 0.100000
Training Epoch: 5 [5376/10284]	Loss: 0.6844	LR: 0.100000
Training Epoch: 5 [5632/10284]	Loss: 0.6704	LR: 0.100000
Training Epoch: 5 [5888/10284]	Loss: 0.6787	LR: 0.100000
Training Epoch: 5 [6144/10284]	Loss: 0.6598	LR: 0.100000
Training Epoch: 5 [6400/10284]	Loss: 0.6481	LR: 0.100000
Training Epoch: 5 [6656/10284]	Loss: 0.6670	LR: 0.100000
Training Epoch: 5 [6912/10284]	Loss: 0.6631	LR: 0.100000
Training Epoch: 5 [7168/10284]	Loss: 0.6888	LR: 0.100000
Training Epoch: 5 [7424/10284]	Loss: 0.6911	LR: 0.100000
Training Epoch: 5 [7680/10284]	Loss: 0.6565	LR: 0.100000
Training Epoch: 5 [7936/10284]	Loss: 0.6864	LR: 0.100000
Training Epoch: 5 [8192/10284]	Loss: 0.6898	LR: 0.100000
Training Epoch: 5 [8448/10284]	Loss: 0.6775	LR: 0.100000
Training Epoch: 5 [8704/10284]	Loss: 0.6873	LR: 0.100000
Training Epoch: 5 [8960/10284]	Loss: 0.6619	LR: 0.100000
Training Epoch: 5 [9216/10284]	Loss: 0.6761	LR: 0.100000
Training Epoch: 5 [9472/10284]	Loss: 0.6696	LR: 0.100000
Training Epoch: 5 [9728/10284]	Loss: 0.7022	LR: 0.100000
Training Epoch: 5 [9984/10284]	Loss: 0.6498	LR: 0.100000
Training Epoch: 5 [10240/10284]	Loss: 0.6986	LR: 0.100000
Training Epoch: 5 [10284/10284]	Loss: 0.6757	LR: 0.100000
Epoch 5 - Average Train Loss: 0.6770, Train Accuracy: 0.5930
Epoch 5 training time consumed: 152.98s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0030, Accuracy: 0.5942, Time consumed:8.22s
Training Epoch: 6 [256/10284]	Loss: 0.6637	LR: 0.100000
Training Epoch: 6 [512/10284]	Loss: 0.6862	LR: 0.100000
Training Epoch: 6 [768/10284]	Loss: 0.6757	LR: 0.100000
Training Epoch: 6 [1024/10284]	Loss: 0.6786	LR: 0.100000
Training Epoch: 6 [1280/10284]	Loss: 0.6565	LR: 0.100000
Training Epoch: 6 [1536/10284]	Loss: 0.6701	LR: 0.100000
Training Epoch: 6 [1792/10284]	Loss: 0.6862	LR: 0.100000
Training Epoch: 6 [2048/10284]	Loss: 0.6595	LR: 0.100000
Training Epoch: 6 [2304/10284]	Loss: 0.6705	LR: 0.100000
Training Epoch: 6 [2560/10284]	Loss: 0.6694	LR: 0.100000
Training Epoch: 6 [2816/10284]	Loss: 0.6651	LR: 0.100000
Training Epoch: 6 [3072/10284]	Loss: 0.6799	LR: 0.100000
Training Epoch: 6 [3328/10284]	Loss: 0.6840	LR: 0.100000
Training Epoch: 6 [3584/10284]	Loss: 0.6519	LR: 0.100000
Training Epoch: 6 [3840/10284]	Loss: 0.6680	LR: 0.100000
Training Epoch: 6 [4096/10284]	Loss: 0.6616	LR: 0.100000
Training Epoch: 6 [4352/10284]	Loss: 0.6813	LR: 0.100000
Training Epoch: 6 [4608/10284]	Loss: 0.6570	LR: 0.100000
Training Epoch: 6 [4864/10284]	Loss: 0.6574	LR: 0.100000
Training Epoch: 6 [5120/10284]	Loss: 0.6344	LR: 0.100000
Training Epoch: 6 [5376/10284]	Loss: 0.6577	LR: 0.100000
Training Epoch: 6 [5632/10284]	Loss: 0.6744	LR: 0.100000
Training Epoch: 6 [5888/10284]	Loss: 0.6576	LR: 0.100000
Training Epoch: 6 [6144/10284]	Loss: 0.6466	LR: 0.100000
Training Epoch: 6 [6400/10284]	Loss: 0.6464	LR: 0.100000
Training Epoch: 6 [6656/10284]	Loss: 0.6490	LR: 0.100000
Training Epoch: 6 [6912/10284]	Loss: 0.6896	LR: 0.100000
Training Epoch: 6 [7168/10284]	Loss: 0.6618	LR: 0.100000
Training Epoch: 6 [7424/10284]	Loss: 0.6262	LR: 0.100000
Training Epoch: 6 [7680/10284]	Loss: 0.6703	LR: 0.100000
Training Epoch: 6 [7936/10284]	Loss: 0.6744	LR: 0.100000
Training Epoch: 6 [8192/10284]	Loss: 0.6403	LR: 0.100000
Training Epoch: 6 [8448/10284]	Loss: 0.6794	LR: 0.100000
Training Epoch: 6 [8704/10284]	Loss: 0.6352	LR: 0.100000
Training Epoch: 6 [8960/10284]	Loss: 0.6560	LR: 0.100000
Training Epoch: 6 [9216/10284]	Loss: 0.6631	LR: 0.100000
Training Epoch: 6 [9472/10284]	Loss: 0.6420	LR: 0.100000
Training Epoch: 6 [9728/10284]	Loss: 0.6384	LR: 0.100000
Training Epoch: 6 [9984/10284]	Loss: 0.6751	LR: 0.100000
Training Epoch: 6 [10240/10284]	Loss: 0.6430	LR: 0.100000
Training Epoch: 6 [10284/10284]	Loss: 0.6459	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6620, Train Accuracy: 0.6057
Epoch 6 training time consumed: 153.10s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0029, Accuracy: 0.6184, Time consumed:8.15s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-6-best.pth
Training Epoch: 7 [256/10284]	Loss: 0.6121	LR: 0.100000
Training Epoch: 7 [512/10284]	Loss: 0.6377	LR: 0.100000
Training Epoch: 7 [768/10284]	Loss: 0.7393	LR: 0.100000
Training Epoch: 7 [1024/10284]	Loss: 0.6614	LR: 0.100000
Training Epoch: 7 [1280/10284]	Loss: 0.6732	LR: 0.100000
Training Epoch: 7 [1536/10284]	Loss: 0.7281	LR: 0.100000
Training Epoch: 7 [1792/10284]	Loss: 0.6891	LR: 0.100000
Training Epoch: 7 [2048/10284]	Loss: 0.6535	LR: 0.100000
Training Epoch: 7 [2304/10284]	Loss: 0.6637	LR: 0.100000
Training Epoch: 7 [2560/10284]	Loss: 0.6819	LR: 0.100000
Training Epoch: 7 [2816/10284]	Loss: 0.6942	LR: 0.100000
Training Epoch: 7 [3072/10284]	Loss: 0.6622	LR: 0.100000
Training Epoch: 7 [3328/10284]	Loss: 0.6678	LR: 0.100000
Training Epoch: 7 [3584/10284]	Loss: 0.6771	LR: 0.100000
Training Epoch: 7 [3840/10284]	Loss: 0.6989	LR: 0.100000
Training Epoch: 7 [4096/10284]	Loss: 0.6569	LR: 0.100000
Training Epoch: 7 [4352/10284]	Loss: 0.6661	LR: 0.100000
Training Epoch: 7 [4608/10284]	Loss: 0.6596	LR: 0.100000
Training Epoch: 7 [4864/10284]	Loss: 0.6521	LR: 0.100000
Training Epoch: 7 [5120/10284]	Loss: 0.6370	LR: 0.100000
Training Epoch: 7 [5376/10284]	Loss: 0.6472	LR: 0.100000
Training Epoch: 7 [5632/10284]	Loss: 0.6186	LR: 0.100000
Training Epoch: 7 [5888/10284]	Loss: 0.6329	LR: 0.100000
Training Epoch: 7 [6144/10284]	Loss: 0.6375	LR: 0.100000
Training Epoch: 7 [6400/10284]	Loss: 0.6431	LR: 0.100000
Training Epoch: 7 [6656/10284]	Loss: 0.6725	LR: 0.100000
Training Epoch: 7 [6912/10284]	Loss: 0.6320	LR: 0.100000
Training Epoch: 7 [7168/10284]	Loss: 0.6135	LR: 0.100000
Training Epoch: 7 [7424/10284]	Loss: 0.6383	LR: 0.100000
Training Epoch: 7 [7680/10284]	Loss: 0.6392	LR: 0.100000
Training Epoch: 7 [7936/10284]	Loss: 0.6187	LR: 0.100000
Training Epoch: 7 [8192/10284]	Loss: 0.6410	LR: 0.100000
Training Epoch: 7 [8448/10284]	Loss: 0.6003	LR: 0.100000
Training Epoch: 7 [8704/10284]	Loss: 0.6355	LR: 0.100000
Training Epoch: 7 [8960/10284]	Loss: 0.6464	LR: 0.100000
Training Epoch: 7 [9216/10284]	Loss: 0.6440	LR: 0.100000
Training Epoch: 7 [9472/10284]	Loss: 0.6087	LR: 0.100000
Training Epoch: 7 [9728/10284]	Loss: 0.5900	LR: 0.100000
Training Epoch: 7 [9984/10284]	Loss: 0.5779	LR: 0.100000
Training Epoch: 7 [10240/10284]	Loss: 0.6298	LR: 0.100000
Training Epoch: 7 [10284/10284]	Loss: 0.5838	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6492, Train Accuracy: 0.6280
Epoch 7 training time consumed: 153.22s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.6847, Time consumed:8.06s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-7-best.pth
Training Epoch: 8 [256/10284]	Loss: 0.5899	LR: 0.100000
Training Epoch: 8 [512/10284]	Loss: 0.6827	LR: 0.100000
Training Epoch: 8 [768/10284]	Loss: 0.6606	LR: 0.100000
Training Epoch: 8 [1024/10284]	Loss: 0.6282	LR: 0.100000
Training Epoch: 8 [1280/10284]	Loss: 0.5753	LR: 0.100000
Training Epoch: 8 [1536/10284]	Loss: 0.6059	LR: 0.100000
Training Epoch: 8 [1792/10284]	Loss: 0.6504	LR: 0.100000
Training Epoch: 8 [2048/10284]	Loss: 0.5981	LR: 0.100000
Training Epoch: 8 [2304/10284]	Loss: 0.6187	LR: 0.100000
Training Epoch: 8 [2560/10284]	Loss: 0.6565	LR: 0.100000
Training Epoch: 8 [2816/10284]	Loss: 0.6790	LR: 0.100000
Training Epoch: 8 [3072/10284]	Loss: 0.6171	LR: 0.100000
Training Epoch: 8 [3328/10284]	Loss: 0.6598	LR: 0.100000
Training Epoch: 8 [3584/10284]	Loss: 0.5840	LR: 0.100000
Training Epoch: 8 [3840/10284]	Loss: 0.6039	LR: 0.100000
Training Epoch: 8 [4096/10284]	Loss: 0.6253	LR: 0.100000
Training Epoch: 8 [4352/10284]	Loss: 0.6270	LR: 0.100000
Training Epoch: 8 [4608/10284]	Loss: 0.6311	LR: 0.100000
Training Epoch: 8 [4864/10284]	Loss: 0.6225	LR: 0.100000
Training Epoch: 8 [5120/10284]	Loss: 0.6275	LR: 0.100000
Training Epoch: 8 [5376/10284]	Loss: 0.6177	LR: 0.100000
Training Epoch: 8 [5632/10284]	Loss: 0.6264	LR: 0.100000
Training Epoch: 8 [5888/10284]	Loss: 0.5865	LR: 0.100000
Training Epoch: 8 [6144/10284]	Loss: 0.6045	LR: 0.100000
Training Epoch: 8 [6400/10284]	Loss: 0.6265	LR: 0.100000
Training Epoch: 8 [6656/10284]	Loss: 0.5704	LR: 0.100000
Training Epoch: 8 [6912/10284]	Loss: 0.6068	LR: 0.100000
Training Epoch: 8 [7168/10284]	Loss: 0.6385	LR: 0.100000
Training Epoch: 8 [7424/10284]	Loss: 0.5364	LR: 0.100000
Training Epoch: 8 [7680/10284]	Loss: 0.6152	LR: 0.100000
Training Epoch: 8 [7936/10284]	Loss: 0.5697	LR: 0.100000
Training Epoch: 8 [8192/10284]	Loss: 0.6020	LR: 0.100000
Training Epoch: 8 [8448/10284]	Loss: 0.6338	LR: 0.100000
Training Epoch: 8 [8704/10284]	Loss: 0.5826	LR: 0.100000
Training Epoch: 8 [8960/10284]	Loss: 0.5485	LR: 0.100000
Training Epoch: 8 [9216/10284]	Loss: 0.5627	LR: 0.100000
Training Epoch: 8 [9472/10284]	Loss: 0.6041	LR: 0.100000
Training Epoch: 8 [9728/10284]	Loss: 0.6250	LR: 0.100000
Training Epoch: 8 [9984/10284]	Loss: 0.5660	LR: 0.100000
Training Epoch: 8 [10240/10284]	Loss: 0.5711	LR: 0.100000
Training Epoch: 8 [10284/10284]	Loss: 0.5828	LR: 0.100000
Epoch 8 - Average Train Loss: 0.6108, Train Accuracy: 0.6694
Epoch 8 training time consumed: 152.94s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0031, Accuracy: 0.6068, Time consumed:8.16s
Training Epoch: 9 [256/10284]	Loss: 0.5785	LR: 0.100000
Training Epoch: 9 [512/10284]	Loss: 0.6281	LR: 0.100000
Training Epoch: 9 [768/10284]	Loss: 0.5472	LR: 0.100000
Training Epoch: 9 [1024/10284]	Loss: 0.5918	LR: 0.100000
Training Epoch: 9 [1280/10284]	Loss: 0.5952	LR: 0.100000
Training Epoch: 9 [1536/10284]	Loss: 0.5835	LR: 0.100000
Training Epoch: 9 [1792/10284]	Loss: 0.5781	LR: 0.100000
Training Epoch: 9 [2048/10284]	Loss: 0.6121	LR: 0.100000
Training Epoch: 9 [2304/10284]	Loss: 0.5550	LR: 0.100000
Training Epoch: 9 [2560/10284]	Loss: 0.5985	LR: 0.100000
Training Epoch: 9 [2816/10284]	Loss: 0.6007	LR: 0.100000
Training Epoch: 9 [3072/10284]	Loss: 0.5713	LR: 0.100000
Training Epoch: 9 [3328/10284]	Loss: 0.5721	LR: 0.100000
Training Epoch: 9 [3584/10284]	Loss: 0.5492	LR: 0.100000
Training Epoch: 9 [3840/10284]	Loss: 0.5571	LR: 0.100000
Training Epoch: 9 [4096/10284]	Loss: 0.5448	LR: 0.100000
Training Epoch: 9 [4352/10284]	Loss: 0.5926	LR: 0.100000
Training Epoch: 9 [4608/10284]	Loss: 0.5847	LR: 0.100000
Training Epoch: 9 [4864/10284]	Loss: 0.5098	LR: 0.100000
Training Epoch: 9 [5120/10284]	Loss: 0.5822	LR: 0.100000
Training Epoch: 9 [5376/10284]	Loss: 0.5203	LR: 0.100000
Training Epoch: 9 [5632/10284]	Loss: 0.5149	LR: 0.100000
Training Epoch: 9 [5888/10284]	Loss: 0.5889	LR: 0.100000
Training Epoch: 9 [6144/10284]	Loss: 0.5172	LR: 0.100000
Training Epoch: 9 [6400/10284]	Loss: 0.4825	LR: 0.100000
Training Epoch: 9 [6656/10284]	Loss: 0.4874	LR: 0.100000
Training Epoch: 9 [6912/10284]	Loss: 0.4691	LR: 0.100000
Training Epoch: 9 [7168/10284]	Loss: 0.5309	LR: 0.100000
Training Epoch: 9 [7424/10284]	Loss: 0.4781	LR: 0.100000
Training Epoch: 9 [7680/10284]	Loss: 0.4675	LR: 0.100000
Training Epoch: 9 [7936/10284]	Loss: 0.5379	LR: 0.100000
Training Epoch: 9 [8192/10284]	Loss: 0.5132	LR: 0.100000
Training Epoch: 9 [8448/10284]	Loss: 0.5215	LR: 0.100000
Training Epoch: 9 [8704/10284]	Loss: 0.5169	LR: 0.100000
Training Epoch: 9 [8960/10284]	Loss: 0.5344	LR: 0.100000
Training Epoch: 9 [9216/10284]	Loss: 0.6214	LR: 0.100000
Training Epoch: 9 [9472/10284]	Loss: 0.5329	LR: 0.100000
Training Epoch: 9 [9728/10284]	Loss: 0.5153	LR: 0.100000
Training Epoch: 9 [9984/10284]	Loss: 0.5471	LR: 0.100000
Training Epoch: 9 [10240/10284]	Loss: 0.4850	LR: 0.100000
Training Epoch: 9 [10284/10284]	Loss: 0.4437	LR: 0.100000
Epoch 9 - Average Train Loss: 0.5474, Train Accuracy: 0.7289
Epoch 9 training time consumed: 153.54s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0028, Accuracy: 0.6257, Time consumed:8.26s
Training Epoch: 10 [256/10284]	Loss: 0.4932	LR: 0.020000
Training Epoch: 10 [512/10284]	Loss: 0.5001	LR: 0.020000
Training Epoch: 10 [768/10284]	Loss: 0.4686	LR: 0.020000
Training Epoch: 10 [1024/10284]	Loss: 0.4594	LR: 0.020000
Training Epoch: 10 [1280/10284]	Loss: 0.4308	LR: 0.020000
Training Epoch: 10 [1536/10284]	Loss: 0.4946	LR: 0.020000
Training Epoch: 10 [1792/10284]	Loss: 0.4758	LR: 0.020000
Training Epoch: 10 [2048/10284]	Loss: 0.4488	LR: 0.020000
Training Epoch: 10 [2304/10284]	Loss: 0.5233	LR: 0.020000
Training Epoch: 10 [2560/10284]	Loss: 0.4356	LR: 0.020000
Training Epoch: 10 [2816/10284]	Loss: 0.4544	LR: 0.020000
Training Epoch: 10 [3072/10284]	Loss: 0.4330	LR: 0.020000
Training Epoch: 10 [3328/10284]	Loss: 0.4341	LR: 0.020000
Training Epoch: 10 [3584/10284]	Loss: 0.4269	LR: 0.020000
Training Epoch: 10 [3840/10284]	Loss: 0.4987	LR: 0.020000
Training Epoch: 10 [4096/10284]	Loss: 0.5150	LR: 0.020000
Training Epoch: 10 [4352/10284]	Loss: 0.4685	LR: 0.020000
Training Epoch: 10 [4608/10284]	Loss: 0.3706	LR: 0.020000
Training Epoch: 10 [4864/10284]	Loss: 0.4015	LR: 0.020000
Training Epoch: 10 [5120/10284]	Loss: 0.4836	LR: 0.020000
Training Epoch: 10 [5376/10284]	Loss: 0.4577	LR: 0.020000
Training Epoch: 10 [5632/10284]	Loss: 0.4404	LR: 0.020000
Training Epoch: 10 [5888/10284]	Loss: 0.4712	LR: 0.020000
Training Epoch: 10 [6144/10284]	Loss: 0.4152	LR: 0.020000
Training Epoch: 10 [6400/10284]	Loss: 0.4771	LR: 0.020000
Training Epoch: 10 [6656/10284]	Loss: 0.4659	LR: 0.020000
Training Epoch: 10 [6912/10284]	Loss: 0.4768	LR: 0.020000
Training Epoch: 10 [7168/10284]	Loss: 0.4895	LR: 0.020000
Training Epoch: 10 [7424/10284]	Loss: 0.4251	LR: 0.020000
Training Epoch: 10 [7680/10284]	Loss: 0.4408	LR: 0.020000
Training Epoch: 10 [7936/10284]	Loss: 0.4201	LR: 0.020000
Training Epoch: 10 [8192/10284]	Loss: 0.4800	LR: 0.020000
Training Epoch: 10 [8448/10284]	Loss: 0.4986	LR: 0.020000
Training Epoch: 10 [8704/10284]	Loss: 0.4212	LR: 0.020000
Training Epoch: 10 [8960/10284]	Loss: 0.3584	LR: 0.020000
Training Epoch: 10 [9216/10284]	Loss: 0.5289	LR: 0.020000
Training Epoch: 10 [9472/10284]	Loss: 0.4780	LR: 0.020000
Training Epoch: 10 [9728/10284]	Loss: 0.3863	LR: 0.020000
Training Epoch: 10 [9984/10284]	Loss: 0.3948	LR: 0.020000
Training Epoch: 10 [10240/10284]	Loss: 0.4274	LR: 0.020000
Training Epoch: 10 [10284/10284]	Loss: 0.5226	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4545, Train Accuracy: 0.7953
Epoch 10 training time consumed: 153.30s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0020, Accuracy: 0.7811, Time consumed:8.17s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-10-best.pth
Training Epoch: 11 [256/10284]	Loss: 0.4521	LR: 0.020000
Training Epoch: 11 [512/10284]	Loss: 0.4474	LR: 0.020000
Training Epoch: 11 [768/10284]	Loss: 0.4320	LR: 0.020000
Training Epoch: 11 [1024/10284]	Loss: 0.4791	LR: 0.020000
Training Epoch: 11 [1280/10284]	Loss: 0.4289	LR: 0.020000
Training Epoch: 11 [1536/10284]	Loss: 0.4140	LR: 0.020000
Training Epoch: 11 [1792/10284]	Loss: 0.4020	LR: 0.020000
Training Epoch: 11 [2048/10284]	Loss: 0.3920	LR: 0.020000
Training Epoch: 11 [2304/10284]	Loss: 0.4013	LR: 0.020000
Training Epoch: 11 [2560/10284]	Loss: 0.3801	LR: 0.020000
Training Epoch: 11 [2816/10284]	Loss: 0.3731	LR: 0.020000
Training Epoch: 11 [3072/10284]	Loss: 0.3967	LR: 0.020000
Training Epoch: 11 [3328/10284]	Loss: 0.3761	LR: 0.020000
Training Epoch: 11 [3584/10284]	Loss: 0.4175	LR: 0.020000
Training Epoch: 11 [3840/10284]	Loss: 0.3974	LR: 0.020000
Training Epoch: 11 [4096/10284]	Loss: 0.4228	LR: 0.020000
Training Epoch: 11 [4352/10284]	Loss: 0.4087	LR: 0.020000
Training Epoch: 11 [4608/10284]	Loss: 0.4105	LR: 0.020000
Training Epoch: 11 [4864/10284]	Loss: 0.4455	LR: 0.020000
Training Epoch: 11 [5120/10284]	Loss: 0.4366	LR: 0.020000
Training Epoch: 11 [5376/10284]	Loss: 0.4031	LR: 0.020000
Training Epoch: 11 [5632/10284]	Loss: 0.4420	LR: 0.020000
Training Epoch: 11 [5888/10284]	Loss: 0.4271	LR: 0.020000
Training Epoch: 11 [6144/10284]	Loss: 0.4546	LR: 0.020000
Training Epoch: 11 [6400/10284]	Loss: 0.4269	LR: 0.020000
Training Epoch: 11 [6656/10284]	Loss: 0.3940	LR: 0.020000
Training Epoch: 11 [6912/10284]	Loss: 0.4513	LR: 0.020000
Training Epoch: 11 [7168/10284]	Loss: 0.4184	LR: 0.020000
Training Epoch: 11 [7424/10284]	Loss: 0.4268	LR: 0.020000
Training Epoch: 11 [7680/10284]	Loss: 0.4925	LR: 0.020000
Training Epoch: 11 [7936/10284]	Loss: 0.3886	LR: 0.020000
Training Epoch: 11 [8192/10284]	Loss: 0.4152	LR: 0.020000
Training Epoch: 11 [8448/10284]	Loss: 0.4158	LR: 0.020000
Training Epoch: 11 [8704/10284]	Loss: 0.4075	LR: 0.020000
Training Epoch: 11 [8960/10284]	Loss: 0.4102	LR: 0.020000
Training Epoch: 11 [9216/10284]	Loss: 0.4050	LR: 0.020000
Training Epoch: 11 [9472/10284]	Loss: 0.3809	LR: 0.020000
Training Epoch: 11 [9728/10284]	Loss: 0.3951	LR: 0.020000
Training Epoch: 11 [9984/10284]	Loss: 0.3657	LR: 0.020000
Training Epoch: 11 [10240/10284]	Loss: 0.3941	LR: 0.020000
Training Epoch: 11 [10284/10284]	Loss: 0.4525	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4159, Train Accuracy: 0.8104
Epoch 11 training time consumed: 153.27s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8450, Time consumed:8.11s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-11-best.pth
Training Epoch: 12 [256/10284]	Loss: 0.4038	LR: 0.020000
Training Epoch: 12 [512/10284]	Loss: 0.3757	LR: 0.020000
Training Epoch: 12 [768/10284]	Loss: 0.4089	LR: 0.020000
Training Epoch: 12 [1024/10284]	Loss: 0.3933	LR: 0.020000
Training Epoch: 12 [1280/10284]	Loss: 0.3235	LR: 0.020000
Training Epoch: 12 [1536/10284]	Loss: 0.4297	LR: 0.020000
Training Epoch: 12 [1792/10284]	Loss: 0.3818	LR: 0.020000
Training Epoch: 12 [2048/10284]	Loss: 0.3750	LR: 0.020000
Training Epoch: 12 [2304/10284]	Loss: 0.3738	LR: 0.020000
Training Epoch: 12 [2560/10284]	Loss: 0.3146	LR: 0.020000
Training Epoch: 12 [2816/10284]	Loss: 0.3628	LR: 0.020000
Training Epoch: 12 [3072/10284]	Loss: 0.4192	LR: 0.020000
Training Epoch: 12 [3328/10284]	Loss: 0.3817	LR: 0.020000
Training Epoch: 12 [3584/10284]	Loss: 0.4467	LR: 0.020000
Training Epoch: 12 [3840/10284]	Loss: 0.3977	LR: 0.020000
Training Epoch: 12 [4096/10284]	Loss: 0.4042	LR: 0.020000
Training Epoch: 12 [4352/10284]	Loss: 0.4158	LR: 0.020000
Training Epoch: 12 [4608/10284]	Loss: 0.3791	LR: 0.020000
Training Epoch: 12 [4864/10284]	Loss: 0.3584	LR: 0.020000
Training Epoch: 12 [5120/10284]	Loss: 0.4649	LR: 0.020000
Training Epoch: 12 [5376/10284]	Loss: 0.3635	LR: 0.020000
Training Epoch: 12 [5632/10284]	Loss: 0.4048	LR: 0.020000
Training Epoch: 12 [5888/10284]	Loss: 0.3825	LR: 0.020000
Training Epoch: 12 [6144/10284]	Loss: 0.4074	LR: 0.020000
Training Epoch: 12 [6400/10284]	Loss: 0.3930	LR: 0.020000
Training Epoch: 12 [6656/10284]	Loss: 0.4252	LR: 0.020000
Training Epoch: 12 [6912/10284]	Loss: 0.4083	LR: 0.020000
Training Epoch: 12 [7168/10284]	Loss: 0.4047	LR: 0.020000
Training Epoch: 12 [7424/10284]	Loss: 0.3361	LR: 0.020000
Training Epoch: 12 [7680/10284]	Loss: 0.3721	LR: 0.020000
Training Epoch: 12 [7936/10284]	Loss: 0.3665	LR: 0.020000
Training Epoch: 12 [8192/10284]	Loss: 0.3911	LR: 0.020000
Training Epoch: 12 [8448/10284]	Loss: 0.3601	LR: 0.020000
Training Epoch: 12 [8704/10284]	Loss: 0.3209	LR: 0.020000
Training Epoch: 12 [8960/10284]	Loss: 0.3566	LR: 0.020000
Training Epoch: 12 [9216/10284]	Loss: 0.3413	LR: 0.020000
Training Epoch: 12 [9472/10284]	Loss: 0.4052	LR: 0.020000
Training Epoch: 12 [9728/10284]	Loss: 0.3408	LR: 0.020000
Training Epoch: 12 [9984/10284]	Loss: 0.4221	LR: 0.020000
Training Epoch: 12 [10240/10284]	Loss: 0.4325	LR: 0.020000
Training Epoch: 12 [10284/10284]	Loss: 0.3814	LR: 0.020000
Epoch 12 - Average Train Loss: 0.3861, Train Accuracy: 0.8287
Epoch 12 training time consumed: 153.59s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0018, Accuracy: 0.8252, Time consumed:8.14s
Training Epoch: 13 [256/10284]	Loss: 0.3938	LR: 0.020000
Training Epoch: 13 [512/10284]	Loss: 0.4008	LR: 0.020000
Training Epoch: 13 [768/10284]	Loss: 0.3459	LR: 0.020000
Training Epoch: 13 [1024/10284]	Loss: 0.3087	LR: 0.020000
Training Epoch: 13 [1280/10284]	Loss: 0.3477	LR: 0.020000
Training Epoch: 13 [1536/10284]	Loss: 0.3740	LR: 0.020000
Training Epoch: 13 [1792/10284]	Loss: 0.3176	LR: 0.020000
Training Epoch: 13 [2048/10284]	Loss: 0.3281	LR: 0.020000
Training Epoch: 13 [2304/10284]	Loss: 0.3717	LR: 0.020000
Training Epoch: 13 [2560/10284]	Loss: 0.3595	LR: 0.020000
Training Epoch: 13 [2816/10284]	Loss: 0.4480	LR: 0.020000
Training Epoch: 13 [3072/10284]	Loss: 0.3133	LR: 0.020000
Training Epoch: 13 [3328/10284]	Loss: 0.3644	LR: 0.020000
Training Epoch: 13 [3584/10284]	Loss: 0.3606	LR: 0.020000
Training Epoch: 13 [3840/10284]	Loss: 0.3732	LR: 0.020000
Training Epoch: 13 [4096/10284]	Loss: 0.4208	LR: 0.020000
Training Epoch: 13 [4352/10284]	Loss: 0.3316	LR: 0.020000
Training Epoch: 13 [4608/10284]	Loss: 0.3832	LR: 0.020000
Training Epoch: 13 [4864/10284]	Loss: 0.3419	LR: 0.020000
Training Epoch: 13 [5120/10284]	Loss: 0.3240	LR: 0.020000
Training Epoch: 13 [5376/10284]	Loss: 0.3483	LR: 0.020000
Training Epoch: 13 [5632/10284]	Loss: 0.3544	LR: 0.020000
Training Epoch: 13 [5888/10284]	Loss: 0.3550	LR: 0.020000
Training Epoch: 13 [6144/10284]	Loss: 0.3556	LR: 0.020000
Training Epoch: 13 [6400/10284]	Loss: 0.3532	LR: 0.020000
Training Epoch: 13 [6656/10284]	Loss: 0.3640	LR: 0.020000
Training Epoch: 13 [6912/10284]	Loss: 0.2946	LR: 0.020000
Training Epoch: 13 [7168/10284]	Loss: 0.3181	LR: 0.020000
Training Epoch: 13 [7424/10284]	Loss: 0.3399	LR: 0.020000
Training Epoch: 13 [7680/10284]	Loss: 0.3499	LR: 0.020000
Training Epoch: 13 [7936/10284]	Loss: 0.3761	LR: 0.020000
Training Epoch: 13 [8192/10284]	Loss: 0.3404	LR: 0.020000
Training Epoch: 13 [8448/10284]	Loss: 0.3259	LR: 0.020000
Training Epoch: 13 [8704/10284]	Loss: 0.3645	LR: 0.020000
Training Epoch: 13 [8960/10284]	Loss: 0.4051	LR: 0.020000
Training Epoch: 13 [9216/10284]	Loss: 0.4022	LR: 0.020000
Training Epoch: 13 [9472/10284]	Loss: 0.3282	LR: 0.020000
Training Epoch: 13 [9728/10284]	Loss: 0.3756	LR: 0.020000
Training Epoch: 13 [9984/10284]	Loss: 0.3155	LR: 0.020000
Training Epoch: 13 [10240/10284]	Loss: 0.3312	LR: 0.020000
Training Epoch: 13 [10284/10284]	Loss: 0.3845	LR: 0.020000
Epoch 13 - Average Train Loss: 0.3553, Train Accuracy: 0.8456
Epoch 13 training time consumed: 153.64s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8644, Time consumed:8.27s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-13-best.pth
Training Epoch: 14 [256/10284]	Loss: 0.3495	LR: 0.020000
Training Epoch: 14 [512/10284]	Loss: 0.3965	LR: 0.020000
Training Epoch: 14 [768/10284]	Loss: 0.4332	LR: 0.020000
Training Epoch: 14 [1024/10284]	Loss: 0.3315	LR: 0.020000
Training Epoch: 14 [1280/10284]	Loss: 0.3562	LR: 0.020000
Training Epoch: 14 [1536/10284]	Loss: 0.3553	LR: 0.020000
Training Epoch: 14 [1792/10284]	Loss: 0.2973	LR: 0.020000
Training Epoch: 14 [2048/10284]	Loss: 0.3362	LR: 0.020000
Training Epoch: 14 [2304/10284]	Loss: 0.3298	LR: 0.020000
Training Epoch: 14 [2560/10284]	Loss: 0.2858	LR: 0.020000
Training Epoch: 14 [2816/10284]	Loss: 0.3476	LR: 0.020000
Training Epoch: 14 [3072/10284]	Loss: 0.3111	LR: 0.020000
Training Epoch: 14 [3328/10284]	Loss: 0.3310	LR: 0.020000
Training Epoch: 14 [3584/10284]	Loss: 0.3154	LR: 0.020000
Training Epoch: 14 [3840/10284]	Loss: 0.3149	LR: 0.020000
Training Epoch: 14 [4096/10284]	Loss: 0.3174	LR: 0.020000
Training Epoch: 14 [4352/10284]	Loss: 0.3253	LR: 0.020000
Training Epoch: 14 [4608/10284]	Loss: 0.3166	LR: 0.020000
Training Epoch: 14 [4864/10284]	Loss: 0.3379	LR: 0.020000
Training Epoch: 14 [5120/10284]	Loss: 0.3770	LR: 0.020000
Training Epoch: 14 [5376/10284]	Loss: 0.4284	LR: 0.020000
Training Epoch: 14 [5632/10284]	Loss: 0.3090	LR: 0.020000
Training Epoch: 14 [5888/10284]	Loss: 0.3490	LR: 0.020000
Training Epoch: 14 [6144/10284]	Loss: 0.2870	LR: 0.020000
Training Epoch: 14 [6400/10284]	Loss: 0.2897	LR: 0.020000
Training Epoch: 14 [6656/10284]	Loss: 0.3227	LR: 0.020000
Training Epoch: 14 [6912/10284]	Loss: 0.3759	LR: 0.020000
Training Epoch: 14 [7168/10284]	Loss: 0.2433	LR: 0.020000
Training Epoch: 14 [7424/10284]	Loss: 0.3091	LR: 0.020000
Training Epoch: 14 [7680/10284]	Loss: 0.2889	LR: 0.020000
Training Epoch: 14 [7936/10284]	Loss: 0.3866	LR: 0.020000
Training Epoch: 14 [8192/10284]	Loss: 0.3306	LR: 0.020000
Training Epoch: 14 [8448/10284]	Loss: 0.3370	LR: 0.020000
Training Epoch: 14 [8704/10284]	Loss: 0.2964	LR: 0.020000
Training Epoch: 14 [8960/10284]	Loss: 0.3437	LR: 0.020000
Training Epoch: 14 [9216/10284]	Loss: 0.2973	LR: 0.020000
Training Epoch: 14 [9472/10284]	Loss: 0.2810	LR: 0.020000
Training Epoch: 14 [9728/10284]	Loss: 0.2774	LR: 0.020000
Training Epoch: 14 [9984/10284]	Loss: 0.3599	LR: 0.020000
Training Epoch: 14 [10240/10284]	Loss: 0.3366	LR: 0.020000
Training Epoch: 14 [10284/10284]	Loss: 0.4478	LR: 0.020000
Epoch 14 - Average Train Loss: 0.3309, Train Accuracy: 0.8624
Epoch 14 training time consumed: 153.62s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8775, Time consumed:8.20s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-14-best.pth
Training Epoch: 15 [256/10284]	Loss: 0.3091	LR: 0.020000
Training Epoch: 15 [512/10284]	Loss: 0.2947	LR: 0.020000
Training Epoch: 15 [768/10284]	Loss: 0.3468	LR: 0.020000
Training Epoch: 15 [1024/10284]	Loss: 0.3276	LR: 0.020000
Training Epoch: 15 [1280/10284]	Loss: 0.2920	LR: 0.020000
Training Epoch: 15 [1536/10284]	Loss: 0.3200	LR: 0.020000
Training Epoch: 15 [1792/10284]	Loss: 0.3515	LR: 0.020000
Training Epoch: 15 [2048/10284]	Loss: 0.3227	LR: 0.020000
Training Epoch: 15 [2304/10284]	Loss: 0.3233	LR: 0.020000
Training Epoch: 15 [2560/10284]	Loss: 0.2784	LR: 0.020000
Training Epoch: 15 [2816/10284]	Loss: 0.3093	LR: 0.020000
Training Epoch: 15 [3072/10284]	Loss: 0.3304	LR: 0.020000
Training Epoch: 15 [3328/10284]	Loss: 0.2757	LR: 0.020000
Training Epoch: 15 [3584/10284]	Loss: 0.2714	LR: 0.020000
Training Epoch: 15 [3840/10284]	Loss: 0.3020	LR: 0.020000
Training Epoch: 15 [4096/10284]	Loss: 0.2880	LR: 0.020000
Training Epoch: 15 [4352/10284]	Loss: 0.3157	LR: 0.020000
Training Epoch: 15 [4608/10284]	Loss: 0.2932	LR: 0.020000
Training Epoch: 15 [4864/10284]	Loss: 0.3118	LR: 0.020000
Training Epoch: 15 [5120/10284]	Loss: 0.2764	LR: 0.020000
Training Epoch: 15 [5376/10284]	Loss: 0.3336	LR: 0.020000
Training Epoch: 15 [5632/10284]	Loss: 0.3205	LR: 0.020000
Training Epoch: 15 [5888/10284]	Loss: 0.2242	LR: 0.020000
Training Epoch: 15 [6144/10284]	Loss: 0.3172	LR: 0.020000
Training Epoch: 15 [6400/10284]	Loss: 0.2989	LR: 0.020000
Training Epoch: 15 [6656/10284]	Loss: 0.3018	LR: 0.020000
Training Epoch: 15 [6912/10284]	Loss: 0.3285	LR: 0.020000
Training Epoch: 15 [7168/10284]	Loss: 0.3131	LR: 0.020000
Training Epoch: 15 [7424/10284]	Loss: 0.2844	LR: 0.020000
Training Epoch: 15 [7680/10284]	Loss: 0.3067	LR: 0.020000
Training Epoch: 15 [7936/10284]	Loss: 0.2606	LR: 0.020000
Training Epoch: 15 [8192/10284]	Loss: 0.3240	LR: 0.020000
Training Epoch: 15 [8448/10284]	Loss: 0.3399	LR: 0.020000
Training Epoch: 15 [8704/10284]	Loss: 0.3236	LR: 0.020000
Training Epoch: 15 [8960/10284]	Loss: 0.2629	LR: 0.020000
Training Epoch: 15 [9216/10284]	Loss: 0.3609	LR: 0.020000
Training Epoch: 15 [9472/10284]	Loss: 0.2645	LR: 0.020000
Training Epoch: 15 [9728/10284]	Loss: 0.2371	LR: 0.020000
Training Epoch: 15 [9984/10284]	Loss: 0.3449	LR: 0.020000
Training Epoch: 15 [10240/10284]	Loss: 0.2975	LR: 0.020000
Training Epoch: 15 [10284/10284]	Loss: 0.1795	LR: 0.020000
Epoch 15 - Average Train Loss: 0.3041, Train Accuracy: 0.8733
Epoch 15 training time consumed: 153.34s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8692, Time consumed:8.12s
Training Epoch: 16 [256/10284]	Loss: 0.2939	LR: 0.020000
Training Epoch: 16 [512/10284]	Loss: 0.3263	LR: 0.020000
Training Epoch: 16 [768/10284]	Loss: 0.3307	LR: 0.020000
Training Epoch: 16 [1024/10284]	Loss: 0.2554	LR: 0.020000
Training Epoch: 16 [1280/10284]	Loss: 0.3109	LR: 0.020000
Training Epoch: 16 [1536/10284]	Loss: 0.3262	LR: 0.020000
Training Epoch: 16 [1792/10284]	Loss: 0.3812	LR: 0.020000
Training Epoch: 16 [2048/10284]	Loss: 0.2330	LR: 0.020000
Training Epoch: 16 [2304/10284]	Loss: 0.2787	LR: 0.020000
Training Epoch: 16 [2560/10284]	Loss: 0.3475	LR: 0.020000
Training Epoch: 16 [2816/10284]	Loss: 0.3227	LR: 0.020000
Training Epoch: 16 [3072/10284]	Loss: 0.2941	LR: 0.020000
Training Epoch: 16 [3328/10284]	Loss: 0.2770	LR: 0.020000
Training Epoch: 16 [3584/10284]	Loss: 0.3143	LR: 0.020000
Training Epoch: 16 [3840/10284]	Loss: 0.3234	LR: 0.020000
Training Epoch: 16 [4096/10284]	Loss: 0.2254	LR: 0.020000
Training Epoch: 16 [4352/10284]	Loss: 0.3259	LR: 0.020000
Training Epoch: 16 [4608/10284]	Loss: 0.2583	LR: 0.020000
Training Epoch: 16 [4864/10284]	Loss: 0.3023	LR: 0.020000
Training Epoch: 16 [5120/10284]	Loss: 0.3117	LR: 0.020000
Training Epoch: 16 [5376/10284]	Loss: 0.2573	LR: 0.020000
Training Epoch: 16 [5632/10284]	Loss: 0.2816	LR: 0.020000
Training Epoch: 16 [5888/10284]	Loss: 0.2430	LR: 0.020000
Training Epoch: 16 [6144/10284]	Loss: 0.3044	LR: 0.020000
Training Epoch: 16 [6400/10284]	Loss: 0.2728	LR: 0.020000
Training Epoch: 16 [6656/10284]	Loss: 0.3111	LR: 0.020000
Training Epoch: 16 [6912/10284]	Loss: 0.2953	LR: 0.020000
Training Epoch: 16 [7168/10284]	Loss: 0.3125	LR: 0.020000
Training Epoch: 16 [7424/10284]	Loss: 0.2437	LR: 0.020000
Training Epoch: 16 [7680/10284]	Loss: 0.2135	LR: 0.020000
Training Epoch: 16 [7936/10284]	Loss: 0.2995	LR: 0.020000
Training Epoch: 16 [8192/10284]	Loss: 0.2345	LR: 0.020000
Training Epoch: 16 [8448/10284]	Loss: 0.2826	LR: 0.020000
Training Epoch: 16 [8704/10284]	Loss: 0.3574	LR: 0.020000
Training Epoch: 16 [8960/10284]	Loss: 0.2638	LR: 0.020000
Training Epoch: 16 [9216/10284]	Loss: 0.2753	LR: 0.020000
Training Epoch: 16 [9472/10284]	Loss: 0.2940	LR: 0.020000
Training Epoch: 16 [9728/10284]	Loss: 0.2854	LR: 0.020000
Training Epoch: 16 [9984/10284]	Loss: 0.3091	LR: 0.020000
Training Epoch: 16 [10240/10284]	Loss: 0.3027	LR: 0.020000
Training Epoch: 16 [10284/10284]	Loss: 0.1523	LR: 0.020000
Epoch 16 - Average Train Loss: 0.2914, Train Accuracy: 0.8776
Epoch 16 training time consumed: 153.49s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8513, Time consumed:8.11s
Training Epoch: 17 [256/10284]	Loss: 0.3295	LR: 0.020000
Training Epoch: 17 [512/10284]	Loss: 0.2621	LR: 0.020000
Training Epoch: 17 [768/10284]	Loss: 0.2857	LR: 0.020000
Training Epoch: 17 [1024/10284]	Loss: 0.2279	LR: 0.020000
Training Epoch: 17 [1280/10284]	Loss: 0.2009	LR: 0.020000
Training Epoch: 17 [1536/10284]	Loss: 0.2705	LR: 0.020000
Training Epoch: 17 [1792/10284]	Loss: 0.2788	LR: 0.020000
Training Epoch: 17 [2048/10284]	Loss: 0.2040	LR: 0.020000
Training Epoch: 17 [2304/10284]	Loss: 0.3165	LR: 0.020000
Training Epoch: 17 [2560/10284]	Loss: 0.2532	LR: 0.020000
Training Epoch: 17 [2816/10284]	Loss: 0.3056	LR: 0.020000
Training Epoch: 17 [3072/10284]	Loss: 0.3052	LR: 0.020000
Training Epoch: 17 [3328/10284]	Loss: 0.3283	LR: 0.020000
Training Epoch: 17 [3584/10284]	Loss: 0.2243	LR: 0.020000
Training Epoch: 17 [3840/10284]	Loss: 0.2636	LR: 0.020000
Training Epoch: 17 [4096/10284]	Loss: 0.2836	LR: 0.020000
Training Epoch: 17 [4352/10284]	Loss: 0.2221	LR: 0.020000
Training Epoch: 17 [4608/10284]	Loss: 0.2734	LR: 0.020000
Training Epoch: 17 [4864/10284]	Loss: 0.2518	LR: 0.020000
Training Epoch: 17 [5120/10284]	Loss: 0.2337	LR: 0.020000
Training Epoch: 17 [5376/10284]	Loss: 0.2604	LR: 0.020000
Training Epoch: 17 [5632/10284]	Loss: 0.2958	LR: 0.020000
Training Epoch: 17 [5888/10284]	Loss: 0.2576	LR: 0.020000
Training Epoch: 17 [6144/10284]	Loss: 0.2024	LR: 0.020000
Training Epoch: 17 [6400/10284]	Loss: 0.1954	LR: 0.020000
Training Epoch: 17 [6656/10284]	Loss: 0.3060	LR: 0.020000
Training Epoch: 17 [6912/10284]	Loss: 0.3293	LR: 0.020000
Training Epoch: 17 [7168/10284]	Loss: 0.2419	LR: 0.020000
Training Epoch: 17 [7424/10284]	Loss: 0.2291	LR: 0.020000
Training Epoch: 17 [7680/10284]	Loss: 0.2496	LR: 0.020000
Training Epoch: 17 [7936/10284]	Loss: 0.2079	LR: 0.020000
Training Epoch: 17 [8192/10284]	Loss: 0.2390	LR: 0.020000
Training Epoch: 17 [8448/10284]	Loss: 0.2973	LR: 0.020000
Training Epoch: 17 [8704/10284]	Loss: 0.2701	LR: 0.020000
Training Epoch: 17 [8960/10284]	Loss: 0.2088	LR: 0.020000
Training Epoch: 17 [9216/10284]	Loss: 0.2919	LR: 0.020000
Training Epoch: 17 [9472/10284]	Loss: 0.2826	LR: 0.020000
Training Epoch: 17 [9728/10284]	Loss: 0.2408	LR: 0.020000
Training Epoch: 17 [9984/10284]	Loss: 0.1955	LR: 0.020000
Training Epoch: 17 [10240/10284]	Loss: 0.3681	LR: 0.020000
Training Epoch: 17 [10284/10284]	Loss: 0.2242	LR: 0.020000
Epoch 17 - Average Train Loss: 0.2621, Train Accuracy: 0.8875
Epoch 17 training time consumed: 152.16s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0038, Accuracy: 0.5671, Time consumed:8.16s
Training Epoch: 18 [256/10284]	Loss: 0.3058	LR: 0.020000
Training Epoch: 18 [512/10284]	Loss: 0.2839	LR: 0.020000
Training Epoch: 18 [768/10284]	Loss: 0.3201	LR: 0.020000
Training Epoch: 18 [1024/10284]	Loss: 0.2799	LR: 0.020000
Training Epoch: 18 [1280/10284]	Loss: 0.2444	LR: 0.020000
Training Epoch: 18 [1536/10284]	Loss: 0.2682	LR: 0.020000
Training Epoch: 18 [1792/10284]	Loss: 0.3591	LR: 0.020000
Training Epoch: 18 [2048/10284]	Loss: 0.2902	LR: 0.020000
Training Epoch: 18 [2304/10284]	Loss: 0.2693	LR: 0.020000
Training Epoch: 18 [2560/10284]	Loss: 0.2798	LR: 0.020000
Training Epoch: 18 [2816/10284]	Loss: 0.2565	LR: 0.020000
Training Epoch: 18 [3072/10284]	Loss: 0.2137	LR: 0.020000
Training Epoch: 18 [3328/10284]	Loss: 0.2426	LR: 0.020000
Training Epoch: 18 [3584/10284]	Loss: 0.2130	LR: 0.020000
Training Epoch: 18 [3840/10284]	Loss: 0.2202	LR: 0.020000
Training Epoch: 18 [4096/10284]	Loss: 0.2601	LR: 0.020000
Training Epoch: 18 [4352/10284]	Loss: 0.2852	LR: 0.020000
Training Epoch: 18 [4608/10284]	Loss: 0.2581	LR: 0.020000
Training Epoch: 18 [4864/10284]	Loss: 0.2406	LR: 0.020000
Training Epoch: 18 [5120/10284]	Loss: 0.2634	LR: 0.020000
Training Epoch: 18 [5376/10284]	Loss: 0.3150	LR: 0.020000
Training Epoch: 18 [5632/10284]	Loss: 0.2611	LR: 0.020000
Training Epoch: 18 [5888/10284]	Loss: 0.2888	LR: 0.020000
Training Epoch: 18 [6144/10284]	Loss: 0.2555	LR: 0.020000
Training Epoch: 18 [6400/10284]	Loss: 0.2540	LR: 0.020000
Training Epoch: 18 [6656/10284]	Loss: 0.3024	LR: 0.020000
Training Epoch: 18 [6912/10284]	Loss: 0.2185	LR: 0.020000
Training Epoch: 18 [7168/10284]	Loss: 0.2700	LR: 0.020000
Training Epoch: 18 [7424/10284]	Loss: 0.2041	LR: 0.020000
Training Epoch: 18 [7680/10284]	Loss: 0.1797	LR: 0.020000
Training Epoch: 18 [7936/10284]	Loss: 0.2625	LR: 0.020000
Training Epoch: 18 [8192/10284]	Loss: 0.2468	LR: 0.020000
Training Epoch: 18 [8448/10284]	Loss: 0.2620	LR: 0.020000
Training Epoch: 18 [8704/10284]	Loss: 0.3078	LR: 0.020000
Training Epoch: 18 [8960/10284]	Loss: 0.2139	LR: 0.020000
Training Epoch: 18 [9216/10284]	Loss: 0.2650	LR: 0.020000
Training Epoch: 18 [9472/10284]	Loss: 0.2505	LR: 0.020000
Training Epoch: 18 [9728/10284]	Loss: 0.2442	LR: 0.020000
Training Epoch: 18 [9984/10284]	Loss: 0.2218	LR: 0.020000
Training Epoch: 18 [10240/10284]	Loss: 0.2416	LR: 0.020000
Training Epoch: 18 [10284/10284]	Loss: 0.2038	LR: 0.020000
Epoch 18 - Average Train Loss: 0.2602, Train Accuracy: 0.8934
Epoch 18 training time consumed: 152.11s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0012, Accuracy: 0.8959, Time consumed:8.17s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-18-best.pth
Training Epoch: 19 [256/10284]	Loss: 0.2437	LR: 0.020000
Training Epoch: 19 [512/10284]	Loss: 0.2531	LR: 0.020000
Training Epoch: 19 [768/10284]	Loss: 0.2260	LR: 0.020000
Training Epoch: 19 [1024/10284]	Loss: 0.2098	LR: 0.020000
Training Epoch: 19 [1280/10284]	Loss: 0.2482	LR: 0.020000
Training Epoch: 19 [1536/10284]	Loss: 0.1922	LR: 0.020000
Training Epoch: 19 [1792/10284]	Loss: 0.2837	LR: 0.020000
Training Epoch: 19 [2048/10284]	Loss: 0.2388	LR: 0.020000
Training Epoch: 19 [2304/10284]	Loss: 0.2334	LR: 0.020000
Training Epoch: 19 [2560/10284]	Loss: 0.2292	LR: 0.020000
Training Epoch: 19 [2816/10284]	Loss: 0.2167	LR: 0.020000
Training Epoch: 19 [3072/10284]	Loss: 0.2038	LR: 0.020000
Training Epoch: 19 [3328/10284]	Loss: 0.2363	LR: 0.020000
Training Epoch: 19 [3584/10284]	Loss: 0.2793	LR: 0.020000
Training Epoch: 19 [3840/10284]	Loss: 0.2725	LR: 0.020000
Training Epoch: 19 [4096/10284]	Loss: 0.2345	LR: 0.020000
Training Epoch: 19 [4352/10284]	Loss: 0.2170	LR: 0.020000
Training Epoch: 19 [4608/10284]	Loss: 0.2030	LR: 0.020000
Training Epoch: 19 [4864/10284]	Loss: 0.2136	LR: 0.020000
Training Epoch: 19 [5120/10284]	Loss: 0.2344	LR: 0.020000
Training Epoch: 19 [5376/10284]	Loss: 0.2451	LR: 0.020000
Training Epoch: 19 [5632/10284]	Loss: 0.2063	LR: 0.020000
Training Epoch: 19 [5888/10284]	Loss: 0.1895	LR: 0.020000
Training Epoch: 19 [6144/10284]	Loss: 0.2412	LR: 0.020000
Training Epoch: 19 [6400/10284]	Loss: 0.1981	LR: 0.020000
Training Epoch: 19 [6656/10284]	Loss: 0.2016	LR: 0.020000
Training Epoch: 19 [6912/10284]	Loss: 0.2310	LR: 0.020000
Training Epoch: 19 [7168/10284]	Loss: 0.1469	LR: 0.020000
Training Epoch: 19 [7424/10284]	Loss: 0.2797	LR: 0.020000
Training Epoch: 19 [7680/10284]	Loss: 0.1994	LR: 0.020000
Training Epoch: 19 [7936/10284]	Loss: 0.2802	LR: 0.020000
Training Epoch: 19 [8192/10284]	Loss: 0.1934	LR: 0.020000
Training Epoch: 19 [8448/10284]	Loss: 0.1938	LR: 0.020000
Training Epoch: 19 [8704/10284]	Loss: 0.1909	LR: 0.020000
Training Epoch: 19 [8960/10284]	Loss: 0.2593	LR: 0.020000
Training Epoch: 19 [9216/10284]	Loss: 0.1866	LR: 0.020000
Training Epoch: 19 [9472/10284]	Loss: 0.2302	LR: 0.020000
Training Epoch: 19 [9728/10284]	Loss: 0.1908	LR: 0.020000
Training Epoch: 19 [9984/10284]	Loss: 0.2713	LR: 0.020000
Training Epoch: 19 [10240/10284]	Loss: 0.2334	LR: 0.020000
Training Epoch: 19 [10284/10284]	Loss: 0.1903	LR: 0.020000
Epoch 19 - Average Train Loss: 0.2258, Train Accuracy: 0.9059
Epoch 19 training time consumed: 150.42s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0010, Accuracy: 0.9090, Time consumed:8.34s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-19-best.pth
Training Epoch: 20 [256/10284]	Loss: 0.1869	LR: 0.004000
Training Epoch: 20 [512/10284]	Loss: 0.2721	LR: 0.004000
Training Epoch: 20 [768/10284]	Loss: 0.2558	LR: 0.004000
Training Epoch: 20 [1024/10284]	Loss: 0.2623	LR: 0.004000
Training Epoch: 20 [1280/10284]	Loss: 0.2524	LR: 0.004000
Training Epoch: 20 [1536/10284]	Loss: 0.2313	LR: 0.004000
Training Epoch: 20 [1792/10284]	Loss: 0.1513	LR: 0.004000
Training Epoch: 20 [2048/10284]	Loss: 0.2291	LR: 0.004000
Training Epoch: 20 [2304/10284]	Loss: 0.1504	LR: 0.004000
Training Epoch: 20 [2560/10284]	Loss: 0.1901	LR: 0.004000
Training Epoch: 20 [2816/10284]	Loss: 0.1841	LR: 0.004000
Training Epoch: 20 [3072/10284]	Loss: 0.1825	LR: 0.004000
Training Epoch: 20 [3328/10284]	Loss: 0.2464	LR: 0.004000
Training Epoch: 20 [3584/10284]	Loss: 0.2248	LR: 0.004000
Training Epoch: 20 [3840/10284]	Loss: 0.2189	LR: 0.004000
Training Epoch: 20 [4096/10284]	Loss: 0.1677	LR: 0.004000
Training Epoch: 20 [4352/10284]	Loss: 0.1478	LR: 0.004000
Training Epoch: 20 [4608/10284]	Loss: 0.1921	LR: 0.004000
Training Epoch: 20 [4864/10284]	Loss: 0.1796	LR: 0.004000
Training Epoch: 20 [5120/10284]	Loss: 0.2248	LR: 0.004000
Training Epoch: 20 [5376/10284]	Loss: 0.1957	LR: 0.004000
Training Epoch: 20 [5632/10284]	Loss: 0.2095	LR: 0.004000
Training Epoch: 20 [5888/10284]	Loss: 0.1679	LR: 0.004000
Training Epoch: 20 [6144/10284]	Loss: 0.1719	LR: 0.004000
Training Epoch: 20 [6400/10284]	Loss: 0.1932	LR: 0.004000
Training Epoch: 20 [6656/10284]	Loss: 0.1946	LR: 0.004000
Training Epoch: 20 [6912/10284]	Loss: 0.2091	LR: 0.004000
Training Epoch: 20 [7168/10284]	Loss: 0.1772	LR: 0.004000
Training Epoch: 20 [7424/10284]	Loss: 0.1785	LR: 0.004000
Training Epoch: 20 [7680/10284]	Loss: 0.1589	LR: 0.004000
Training Epoch: 20 [7936/10284]	Loss: 0.2089	LR: 0.004000
Training Epoch: 20 [8192/10284]	Loss: 0.1850	LR: 0.004000
Training Epoch: 20 [8448/10284]	Loss: 0.1772	LR: 0.004000
Training Epoch: 20 [8704/10284]	Loss: 0.2092	LR: 0.004000
Training Epoch: 20 [8960/10284]	Loss: 0.1981	LR: 0.004000
Training Epoch: 20 [9216/10284]	Loss: 0.1771	LR: 0.004000
Training Epoch: 20 [9472/10284]	Loss: 0.1435	LR: 0.004000
Training Epoch: 20 [9728/10284]	Loss: 0.2449	LR: 0.004000
Training Epoch: 20 [9984/10284]	Loss: 0.1998	LR: 0.004000
Training Epoch: 20 [10240/10284]	Loss: 0.2227	LR: 0.004000
Training Epoch: 20 [10284/10284]	Loss: 0.3268	LR: 0.004000
Epoch 20 - Average Train Loss: 0.1999, Train Accuracy: 0.9182
Epoch 20 training time consumed: 150.84s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0007, Accuracy: 0.9283, Time consumed:8.21s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-20-best.pth
Training Epoch: 21 [256/10284]	Loss: 0.1814	LR: 0.004000
Training Epoch: 21 [512/10284]	Loss: 0.1707	LR: 0.004000
Training Epoch: 21 [768/10284]	Loss: 0.1874	LR: 0.004000
Training Epoch: 21 [1024/10284]	Loss: 0.2118	LR: 0.004000
Training Epoch: 21 [1280/10284]	Loss: 0.1961	LR: 0.004000
Training Epoch: 21 [1536/10284]	Loss: 0.2699	LR: 0.004000
Training Epoch: 21 [1792/10284]	Loss: 0.1677	LR: 0.004000
Training Epoch: 21 [2048/10284]	Loss: 0.1672	LR: 0.004000
Training Epoch: 21 [2304/10284]	Loss: 0.1904	LR: 0.004000
Training Epoch: 21 [2560/10284]	Loss: 0.1626	LR: 0.004000
Training Epoch: 21 [2816/10284]	Loss: 0.2077	LR: 0.004000
Training Epoch: 21 [3072/10284]	Loss: 0.1541	LR: 0.004000
Training Epoch: 21 [3328/10284]	Loss: 0.1505	LR: 0.004000
Training Epoch: 21 [3584/10284]	Loss: 0.1464	LR: 0.004000
Training Epoch: 21 [3840/10284]	Loss: 0.1686	LR: 0.004000
Training Epoch: 21 [4096/10284]	Loss: 0.2017	LR: 0.004000
Training Epoch: 21 [4352/10284]	Loss: 0.1904	LR: 0.004000
Training Epoch: 21 [4608/10284]	Loss: 0.1814	LR: 0.004000
Training Epoch: 21 [4864/10284]	Loss: 0.2552	LR: 0.004000
Training Epoch: 21 [5120/10284]	Loss: 0.1881	LR: 0.004000
Training Epoch: 21 [5376/10284]	Loss: 0.1985	LR: 0.004000
Training Epoch: 21 [5632/10284]	Loss: 0.1483	LR: 0.004000
Training Epoch: 21 [5888/10284]	Loss: 0.1807	LR: 0.004000
Training Epoch: 21 [6144/10284]	Loss: 0.1660	LR: 0.004000
Training Epoch: 21 [6400/10284]	Loss: 0.1296	LR: 0.004000
Training Epoch: 21 [6656/10284]	Loss: 0.1656	LR: 0.004000
Training Epoch: 21 [6912/10284]	Loss: 0.1738	LR: 0.004000
Training Epoch: 21 [7168/10284]	Loss: 0.2113	LR: 0.004000
Training Epoch: 21 [7424/10284]	Loss: 0.1601	LR: 0.004000
Training Epoch: 21 [7680/10284]	Loss: 0.2379	LR: 0.004000
Training Epoch: 21 [7936/10284]	Loss: 0.2044	LR: 0.004000
Training Epoch: 21 [8192/10284]	Loss: 0.1431	LR: 0.004000
Training Epoch: 21 [8448/10284]	Loss: 0.1499	LR: 0.004000
Training Epoch: 21 [8704/10284]	Loss: 0.2300	LR: 0.004000
Training Epoch: 21 [8960/10284]	Loss: 0.2157	LR: 0.004000
Training Epoch: 21 [9216/10284]	Loss: 0.1543	LR: 0.004000
Training Epoch: 21 [9472/10284]	Loss: 0.2225	LR: 0.004000
Training Epoch: 21 [9728/10284]	Loss: 0.2006	LR: 0.004000
Training Epoch: 21 [9984/10284]	Loss: 0.1303	LR: 0.004000
Training Epoch: 21 [10240/10284]	Loss: 0.1678	LR: 0.004000
Training Epoch: 21 [10284/10284]	Loss: 0.1050	LR: 0.004000
Epoch 21 - Average Train Loss: 0.1832, Train Accuracy: 0.9261
Epoch 21 training time consumed: 150.72s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0007, Accuracy: 0.9312, Time consumed:8.06s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-21-best.pth
Training Epoch: 22 [256/10284]	Loss: 0.1574	LR: 0.004000
Training Epoch: 22 [512/10284]	Loss: 0.1704	LR: 0.004000
Training Epoch: 22 [768/10284]	Loss: 0.1643	LR: 0.004000
Training Epoch: 22 [1024/10284]	Loss: 0.1629	LR: 0.004000
Training Epoch: 22 [1280/10284]	Loss: 0.1980	LR: 0.004000
Training Epoch: 22 [1536/10284]	Loss: 0.1885	LR: 0.004000
Training Epoch: 22 [1792/10284]	Loss: 0.1672	LR: 0.004000
Training Epoch: 22 [2048/10284]	Loss: 0.1422	LR: 0.004000
Training Epoch: 22 [2304/10284]	Loss: 0.1792	LR: 0.004000
Training Epoch: 22 [2560/10284]	Loss: 0.1649	LR: 0.004000
Training Epoch: 22 [2816/10284]	Loss: 0.1809	LR: 0.004000
Training Epoch: 22 [3072/10284]	Loss: 0.2198	LR: 0.004000
Training Epoch: 22 [3328/10284]	Loss: 0.2214	LR: 0.004000
Training Epoch: 22 [3584/10284]	Loss: 0.1346	LR: 0.004000
Training Epoch: 22 [3840/10284]	Loss: 0.1557	LR: 0.004000
Training Epoch: 22 [4096/10284]	Loss: 0.1812	LR: 0.004000
Training Epoch: 22 [4352/10284]	Loss: 0.1637	LR: 0.004000
Training Epoch: 22 [4608/10284]	Loss: 0.1506	LR: 0.004000
Training Epoch: 22 [4864/10284]	Loss: 0.2113	LR: 0.004000
Training Epoch: 22 [5120/10284]	Loss: 0.2201	LR: 0.004000
Training Epoch: 22 [5376/10284]	Loss: 0.1599	LR: 0.004000
Training Epoch: 22 [5632/10284]	Loss: 0.2020	LR: 0.004000
Training Epoch: 22 [5888/10284]	Loss: 0.1898	LR: 0.004000
Training Epoch: 22 [6144/10284]	Loss: 0.2073	LR: 0.004000
Training Epoch: 22 [6400/10284]	Loss: 0.1725	LR: 0.004000
Training Epoch: 22 [6656/10284]	Loss: 0.0965	LR: 0.004000
Training Epoch: 22 [6912/10284]	Loss: 0.1990	LR: 0.004000
Training Epoch: 22 [7168/10284]	Loss: 0.1580	LR: 0.004000
Training Epoch: 22 [7424/10284]	Loss: 0.2033	LR: 0.004000
Training Epoch: 22 [7680/10284]	Loss: 0.1864	LR: 0.004000
Training Epoch: 22 [7936/10284]	Loss: 0.2306	LR: 0.004000
Training Epoch: 22 [8192/10284]	Loss: 0.2048	LR: 0.004000
Training Epoch: 22 [8448/10284]	Loss: 0.2050	LR: 0.004000
Training Epoch: 22 [8704/10284]	Loss: 0.1870	LR: 0.004000
Training Epoch: 22 [8960/10284]	Loss: 0.2047	LR: 0.004000
Training Epoch: 22 [9216/10284]	Loss: 0.1647	LR: 0.004000
Training Epoch: 22 [9472/10284]	Loss: 0.1478	LR: 0.004000
Training Epoch: 22 [9728/10284]	Loss: 0.1443	LR: 0.004000
Training Epoch: 22 [9984/10284]	Loss: 0.2107	LR: 0.004000
Training Epoch: 22 [10240/10284]	Loss: 0.1442	LR: 0.004000
Training Epoch: 22 [10284/10284]	Loss: 0.2492	LR: 0.004000
Epoch 22 - Average Train Loss: 0.1791, Train Accuracy: 0.9275
Epoch 22 training time consumed: 150.89s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0007, Accuracy: 0.9317, Time consumed:7.98s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-22-best.pth
Training Epoch: 23 [256/10284]	Loss: 0.1712	LR: 0.004000
Training Epoch: 23 [512/10284]	Loss: 0.1551	LR: 0.004000
Training Epoch: 23 [768/10284]	Loss: 0.1514	LR: 0.004000
Training Epoch: 23 [1024/10284]	Loss: 0.1979	LR: 0.004000
Training Epoch: 23 [1280/10284]	Loss: 0.2064	LR: 0.004000
Training Epoch: 23 [1536/10284]	Loss: 0.1802	LR: 0.004000
Training Epoch: 23 [1792/10284]	Loss: 0.2124	LR: 0.004000
Training Epoch: 23 [2048/10284]	Loss: 0.1548	LR: 0.004000
Training Epoch: 23 [2304/10284]	Loss: 0.1279	LR: 0.004000
Training Epoch: 23 [2560/10284]	Loss: 0.1335	LR: 0.004000
Training Epoch: 23 [2816/10284]	Loss: 0.1968	LR: 0.004000
Training Epoch: 23 [3072/10284]	Loss: 0.1808	LR: 0.004000
Training Epoch: 23 [3328/10284]	Loss: 0.1696	LR: 0.004000
Training Epoch: 23 [3584/10284]	Loss: 0.2605	LR: 0.004000
Training Epoch: 23 [3840/10284]	Loss: 0.1860	LR: 0.004000
Training Epoch: 23 [4096/10284]	Loss: 0.1303	LR: 0.004000
Training Epoch: 23 [4352/10284]	Loss: 0.1881	LR: 0.004000
Training Epoch: 23 [4608/10284]	Loss: 0.2046	LR: 0.004000
Training Epoch: 23 [4864/10284]	Loss: 0.2007	LR: 0.004000
Training Epoch: 23 [5120/10284]	Loss: 0.1641	LR: 0.004000
Training Epoch: 23 [5376/10284]	Loss: 0.2203	LR: 0.004000
Training Epoch: 23 [5632/10284]	Loss: 0.2287	LR: 0.004000
Training Epoch: 23 [5888/10284]	Loss: 0.1475	LR: 0.004000
Training Epoch: 23 [6144/10284]	Loss: 0.1522	LR: 0.004000
Training Epoch: 23 [6400/10284]	Loss: 0.1750	LR: 0.004000
Training Epoch: 23 [6656/10284]	Loss: 0.1855	LR: 0.004000
Training Epoch: 23 [6912/10284]	Loss: 0.1507	LR: 0.004000
Training Epoch: 23 [7168/10284]	Loss: 0.1728	LR: 0.004000
Training Epoch: 23 [7424/10284]	Loss: 0.1249	LR: 0.004000
Training Epoch: 23 [7680/10284]	Loss: 0.1557	LR: 0.004000
Training Epoch: 23 [7936/10284]	Loss: 0.1794	LR: 0.004000
Training Epoch: 23 [8192/10284]	Loss: 0.1677	LR: 0.004000
Training Epoch: 23 [8448/10284]	Loss: 0.1742	LR: 0.004000
Training Epoch: 23 [8704/10284]	Loss: 0.1716	LR: 0.004000
Training Epoch: 23 [8960/10284]	Loss: 0.1725	LR: 0.004000
Training Epoch: 23 [9216/10284]	Loss: 0.1802	LR: 0.004000
Training Epoch: 23 [9472/10284]	Loss: 0.1501	LR: 0.004000
Training Epoch: 23 [9728/10284]	Loss: 0.1747	LR: 0.004000
Training Epoch: 23 [9984/10284]	Loss: 0.1853	LR: 0.004000
Training Epoch: 23 [10240/10284]	Loss: 0.1100	LR: 0.004000
Training Epoch: 23 [10284/10284]	Loss: 0.2638	LR: 0.004000
Epoch 23 - Average Train Loss: 0.1742, Train Accuracy: 0.9285
Epoch 23 training time consumed: 150.01s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0007, Accuracy: 0.9337, Time consumed:8.17s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-23-best.pth
Training Epoch: 24 [256/10284]	Loss: 0.1552	LR: 0.004000
Training Epoch: 24 [512/10284]	Loss: 0.2211	LR: 0.004000
Training Epoch: 24 [768/10284]	Loss: 0.1786	LR: 0.004000
Training Epoch: 24 [1024/10284]	Loss: 0.1902	LR: 0.004000
Training Epoch: 24 [1280/10284]	Loss: 0.1865	LR: 0.004000
Training Epoch: 24 [1536/10284]	Loss: 0.2406	LR: 0.004000
Training Epoch: 24 [1792/10284]	Loss: 0.1914	LR: 0.004000
Training Epoch: 24 [2048/10284]	Loss: 0.1500	LR: 0.004000
Training Epoch: 24 [2304/10284]	Loss: 0.1629	LR: 0.004000
Training Epoch: 24 [2560/10284]	Loss: 0.1339	LR: 0.004000
Training Epoch: 24 [2816/10284]	Loss: 0.1519	LR: 0.004000
Training Epoch: 24 [3072/10284]	Loss: 0.1776	LR: 0.004000
Training Epoch: 24 [3328/10284]	Loss: 0.2065	LR: 0.004000
Training Epoch: 24 [3584/10284]	Loss: 0.1883	LR: 0.004000
Training Epoch: 24 [3840/10284]	Loss: 0.1620	LR: 0.004000
Training Epoch: 24 [4096/10284]	Loss: 0.1606	LR: 0.004000
Training Epoch: 24 [4352/10284]	Loss: 0.1804	LR: 0.004000
Training Epoch: 24 [4608/10284]	Loss: 0.1576	LR: 0.004000
Training Epoch: 24 [4864/10284]	Loss: 0.1837	LR: 0.004000
Training Epoch: 24 [5120/10284]	Loss: 0.1863	LR: 0.004000
Training Epoch: 24 [5376/10284]	Loss: 0.1859	LR: 0.004000
Training Epoch: 24 [5632/10284]	Loss: 0.1589	LR: 0.004000
Training Epoch: 24 [5888/10284]	Loss: 0.1290	LR: 0.004000
Training Epoch: 24 [6144/10284]	Loss: 0.2114	LR: 0.004000
Training Epoch: 24 [6400/10284]	Loss: 0.1609	LR: 0.004000
Training Epoch: 24 [6656/10284]	Loss: 0.1448	LR: 0.004000
Training Epoch: 24 [6912/10284]	Loss: 0.1659	LR: 0.004000
Training Epoch: 24 [7168/10284]	Loss: 0.1831	LR: 0.004000
Training Epoch: 24 [7424/10284]	Loss: 0.1881	LR: 0.004000
Training Epoch: 24 [7680/10284]	Loss: 0.1491	LR: 0.004000
Training Epoch: 24 [7936/10284]	Loss: 0.1591	LR: 0.004000
Training Epoch: 24 [8192/10284]	Loss: 0.2093	LR: 0.004000
Training Epoch: 24 [8448/10284]	Loss: 0.1217	LR: 0.004000
Training Epoch: 24 [8704/10284]	Loss: 0.1476	LR: 0.004000
Training Epoch: 24 [8960/10284]	Loss: 0.1627	LR: 0.004000
Training Epoch: 24 [9216/10284]	Loss: 0.1857	LR: 0.004000
Training Epoch: 24 [9472/10284]	Loss: 0.1475	LR: 0.004000
Training Epoch: 24 [9728/10284]	Loss: 0.2019	LR: 0.004000
Training Epoch: 24 [9984/10284]	Loss: 0.1564	LR: 0.004000
Training Epoch: 24 [10240/10284]	Loss: 0.1615	LR: 0.004000
Training Epoch: 24 [10284/10284]	Loss: 0.3546	LR: 0.004000
Epoch 24 - Average Train Loss: 0.1732, Train Accuracy: 0.9275
Epoch 24 training time consumed: 150.15s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0007, Accuracy: 0.9332, Time consumed:8.28s
Training Epoch: 25 [256/10284]	Loss: 0.1356	LR: 0.004000
Training Epoch: 25 [512/10284]	Loss: 0.1632	LR: 0.004000
Training Epoch: 25 [768/10284]	Loss: 0.1718	LR: 0.004000
Training Epoch: 25 [1024/10284]	Loss: 0.1918	LR: 0.004000
Training Epoch: 25 [1280/10284]	Loss: 0.1409	LR: 0.004000
Training Epoch: 25 [1536/10284]	Loss: 0.1617	LR: 0.004000
Training Epoch: 25 [1792/10284]	Loss: 0.2324	LR: 0.004000
Training Epoch: 25 [2048/10284]	Loss: 0.1276	LR: 0.004000
Training Epoch: 25 [2304/10284]	Loss: 0.1313	LR: 0.004000
Training Epoch: 25 [2560/10284]	Loss: 0.1266	LR: 0.004000
Training Epoch: 25 [2816/10284]	Loss: 0.1203	LR: 0.004000
Training Epoch: 25 [3072/10284]	Loss: 0.1334	LR: 0.004000
Training Epoch: 25 [3328/10284]	Loss: 0.1837	LR: 0.004000
Training Epoch: 25 [3584/10284]	Loss: 0.1745	LR: 0.004000
Training Epoch: 25 [3840/10284]	Loss: 0.1621	LR: 0.004000
Training Epoch: 25 [4096/10284]	Loss: 0.1410	LR: 0.004000
Training Epoch: 25 [4352/10284]	Loss: 0.1727	LR: 0.004000
Training Epoch: 25 [4608/10284]	Loss: 0.2492	LR: 0.004000
Training Epoch: 25 [4864/10284]	Loss: 0.1208	LR: 0.004000
Training Epoch: 25 [5120/10284]	Loss: 0.1199	LR: 0.004000
Training Epoch: 25 [5376/10284]	Loss: 0.1318	LR: 0.004000
Training Epoch: 25 [5632/10284]	Loss: 0.2019	LR: 0.004000
Training Epoch: 25 [5888/10284]	Loss: 0.1394	LR: 0.004000
Training Epoch: 25 [6144/10284]	Loss: 0.1902	LR: 0.004000
Training Epoch: 25 [6400/10284]	Loss: 0.1801	LR: 0.004000
Training Epoch: 25 [6656/10284]	Loss: 0.1947	LR: 0.004000
Training Epoch: 25 [6912/10284]	Loss: 0.1588	LR: 0.004000
Training Epoch: 25 [7168/10284]	Loss: 0.1474	LR: 0.004000
Training Epoch: 25 [7424/10284]	Loss: 0.1634	LR: 0.004000
Training Epoch: 25 [7680/10284]	Loss: 0.2110	LR: 0.004000
Training Epoch: 25 [7936/10284]	Loss: 0.1626	LR: 0.004000
Training Epoch: 25 [8192/10284]	Loss: 0.1709	LR: 0.004000
Training Epoch: 25 [8448/10284]	Loss: 0.1607	LR: 0.004000
Training Epoch: 25 [8704/10284]	Loss: 0.1506	LR: 0.004000
Training Epoch: 25 [8960/10284]	Loss: 0.1524	LR: 0.004000
Training Epoch: 25 [9216/10284]	Loss: 0.1226	LR: 0.004000
Training Epoch: 25 [9472/10284]	Loss: 0.1271	LR: 0.004000
Training Epoch: 25 [9728/10284]	Loss: 0.1471	LR: 0.004000
Training Epoch: 25 [9984/10284]	Loss: 0.1968	LR: 0.004000
Training Epoch: 25 [10240/10284]	Loss: 0.2202	LR: 0.004000
Training Epoch: 25 [10284/10284]	Loss: 0.1703	LR: 0.004000
Epoch 25 - Average Train Loss: 0.1623, Train Accuracy: 0.9372
Epoch 25 training time consumed: 152.38s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0007, Accuracy: 0.9259, Time consumed:8.09s
Training Epoch: 26 [256/10284]	Loss: 0.1632	LR: 0.004000
Training Epoch: 26 [512/10284]	Loss: 0.1398	LR: 0.004000
Training Epoch: 26 [768/10284]	Loss: 0.1452	LR: 0.004000
Training Epoch: 26 [1024/10284]	Loss: 0.1892	LR: 0.004000
Training Epoch: 26 [1280/10284]	Loss: 0.2002	LR: 0.004000
Training Epoch: 26 [1536/10284]	Loss: 0.1518	LR: 0.004000
Training Epoch: 26 [1792/10284]	Loss: 0.1332	LR: 0.004000
Training Epoch: 26 [2048/10284]	Loss: 0.1538	LR: 0.004000
Training Epoch: 26 [2304/10284]	Loss: 0.1442	LR: 0.004000
Training Epoch: 26 [2560/10284]	Loss: 0.1279	LR: 0.004000
Training Epoch: 26 [2816/10284]	Loss: 0.1467	LR: 0.004000
Training Epoch: 26 [3072/10284]	Loss: 0.1538	LR: 0.004000
Training Epoch: 26 [3328/10284]	Loss: 0.1766	LR: 0.004000
Training Epoch: 26 [3584/10284]	Loss: 0.1584	LR: 0.004000
Training Epoch: 26 [3840/10284]	Loss: 0.1627	LR: 0.004000
Training Epoch: 26 [4096/10284]	Loss: 0.1808	LR: 0.004000
Training Epoch: 26 [4352/10284]	Loss: 0.1928	LR: 0.004000
Training Epoch: 26 [4608/10284]	Loss: 0.1476	LR: 0.004000
Training Epoch: 26 [4864/10284]	Loss: 0.1718	LR: 0.004000
Training Epoch: 26 [5120/10284]	Loss: 0.2168	LR: 0.004000
Training Epoch: 26 [5376/10284]	Loss: 0.1555	LR: 0.004000
Training Epoch: 26 [5632/10284]	Loss: 0.1658	LR: 0.004000
Training Epoch: 26 [5888/10284]	Loss: 0.1706	LR: 0.004000
Training Epoch: 26 [6144/10284]	Loss: 0.1761	LR: 0.004000
Training Epoch: 26 [6400/10284]	Loss: 0.1680	LR: 0.004000
Training Epoch: 26 [6656/10284]	Loss: 0.1415	LR: 0.004000
Training Epoch: 26 [6912/10284]	Loss: 0.1808	LR: 0.004000
Training Epoch: 26 [7168/10284]	Loss: 0.2242	LR: 0.004000
Training Epoch: 26 [7424/10284]	Loss: 0.1703	LR: 0.004000
Training Epoch: 26 [7680/10284]	Loss: 0.1695	LR: 0.004000
Training Epoch: 26 [7936/10284]	Loss: 0.1637	LR: 0.004000
Training Epoch: 26 [8192/10284]	Loss: 0.1532	LR: 0.004000
Training Epoch: 26 [8448/10284]	Loss: 0.1491	LR: 0.004000
Training Epoch: 26 [8704/10284]	Loss: 0.2134	LR: 0.004000
Training Epoch: 26 [8960/10284]	Loss: 0.1533	LR: 0.004000
Training Epoch: 26 [9216/10284]	Loss: 0.2287	LR: 0.004000
Training Epoch: 26 [9472/10284]	Loss: 0.1762	LR: 0.004000
Training Epoch: 26 [9728/10284]	Loss: 0.1062	LR: 0.004000
Training Epoch: 26 [9984/10284]	Loss: 0.1697	LR: 0.004000
Training Epoch: 26 [10240/10284]	Loss: 0.2047	LR: 0.004000
Training Epoch: 26 [10284/10284]	Loss: 0.3108	LR: 0.004000
Epoch 26 - Average Train Loss: 0.1680, Train Accuracy: 0.9291
Epoch 26 training time consumed: 152.05s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0010, Accuracy: 0.9162, Time consumed:8.14s
Training Epoch: 27 [256/10284]	Loss: 0.2177	LR: 0.004000
Training Epoch: 27 [512/10284]	Loss: 0.1838	LR: 0.004000
Training Epoch: 27 [768/10284]	Loss: 0.1773	LR: 0.004000
Training Epoch: 27 [1024/10284]	Loss: 0.1869	LR: 0.004000
Training Epoch: 27 [1280/10284]	Loss: 0.1760	LR: 0.004000
Training Epoch: 27 [1536/10284]	Loss: 0.1956	LR: 0.004000
Training Epoch: 27 [1792/10284]	Loss: 0.1736	LR: 0.004000
Training Epoch: 27 [2048/10284]	Loss: 0.1640	LR: 0.004000
Training Epoch: 27 [2304/10284]	Loss: 0.2218	LR: 0.004000
Training Epoch: 27 [2560/10284]	Loss: 0.1403	LR: 0.004000
Training Epoch: 27 [2816/10284]	Loss: 0.1821	LR: 0.004000
Training Epoch: 27 [3072/10284]	Loss: 0.1372	LR: 0.004000
Training Epoch: 27 [3328/10284]	Loss: 0.1355	LR: 0.004000
Training Epoch: 27 [3584/10284]	Loss: 0.2108	LR: 0.004000
Training Epoch: 27 [3840/10284]	Loss: 0.1759	LR: 0.004000
Training Epoch: 27 [4096/10284]	Loss: 0.1887	LR: 0.004000
Training Epoch: 27 [4352/10284]	Loss: 0.1160	LR: 0.004000
Training Epoch: 27 [4608/10284]	Loss: 0.1480	LR: 0.004000
Training Epoch: 27 [4864/10284]	Loss: 0.1446	LR: 0.004000
Training Epoch: 27 [5120/10284]	Loss: 0.1663	LR: 0.004000
Training Epoch: 27 [5376/10284]	Loss: 0.1654	LR: 0.004000
Training Epoch: 27 [5632/10284]	Loss: 0.1756	LR: 0.004000
Training Epoch: 27 [5888/10284]	Loss: 0.1512	LR: 0.004000
Training Epoch: 27 [6144/10284]	Loss: 0.2005	LR: 0.004000
Training Epoch: 27 [6400/10284]	Loss: 0.1764	LR: 0.004000
Training Epoch: 27 [6656/10284]	Loss: 0.1720	LR: 0.004000
Training Epoch: 27 [6912/10284]	Loss: 0.1683	LR: 0.004000
Training Epoch: 27 [7168/10284]	Loss: 0.1015	LR: 0.004000
Training Epoch: 27 [7424/10284]	Loss: 0.2267	LR: 0.004000
Training Epoch: 27 [7680/10284]	Loss: 0.1373	LR: 0.004000
Training Epoch: 27 [7936/10284]	Loss: 0.1354	LR: 0.004000
Training Epoch: 27 [8192/10284]	Loss: 0.1497	LR: 0.004000
Training Epoch: 27 [8448/10284]	Loss: 0.1695	LR: 0.004000
Training Epoch: 27 [8704/10284]	Loss: 0.1799	LR: 0.004000
Training Epoch: 27 [8960/10284]	Loss: 0.2153	LR: 0.004000
Training Epoch: 27 [9216/10284]	Loss: 0.1502	LR: 0.004000
Training Epoch: 27 [9472/10284]	Loss: 0.1136	LR: 0.004000
Training Epoch: 27 [9728/10284]	Loss: 0.1081	LR: 0.004000
Training Epoch: 27 [9984/10284]	Loss: 0.1491	LR: 0.004000
Training Epoch: 27 [10240/10284]	Loss: 0.1893	LR: 0.004000
Training Epoch: 27 [10284/10284]	Loss: 0.2443	LR: 0.004000
Epoch 27 - Average Train Loss: 0.1673, Train Accuracy: 0.9341
Epoch 27 training time consumed: 151.90s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0007, Accuracy: 0.9274, Time consumed:7.87s
Training Epoch: 28 [256/10284]	Loss: 0.1777	LR: 0.004000
Training Epoch: 28 [512/10284]	Loss: 0.1487	LR: 0.004000
Training Epoch: 28 [768/10284]	Loss: 0.1483	LR: 0.004000
Training Epoch: 28 [1024/10284]	Loss: 0.1582	LR: 0.004000
Training Epoch: 28 [1280/10284]	Loss: 0.1482	LR: 0.004000
Training Epoch: 28 [1536/10284]	Loss: 0.1545	LR: 0.004000
Training Epoch: 28 [1792/10284]	Loss: 0.1720	LR: 0.004000
Training Epoch: 28 [2048/10284]	Loss: 0.0919	LR: 0.004000
Training Epoch: 28 [2304/10284]	Loss: 0.1890	LR: 0.004000
Training Epoch: 28 [2560/10284]	Loss: 0.1437	LR: 0.004000
Training Epoch: 28 [2816/10284]	Loss: 0.1562	LR: 0.004000
Training Epoch: 28 [3072/10284]	Loss: 0.1713	LR: 0.004000
Training Epoch: 28 [3328/10284]	Loss: 0.1085	LR: 0.004000
Training Epoch: 28 [3584/10284]	Loss: 0.1833	LR: 0.004000
Training Epoch: 28 [3840/10284]	Loss: 0.1513	LR: 0.004000
Training Epoch: 28 [4096/10284]	Loss: 0.1110	LR: 0.004000
Training Epoch: 28 [4352/10284]	Loss: 0.1487	LR: 0.004000
Training Epoch: 28 [4608/10284]	Loss: 0.1893	LR: 0.004000
Training Epoch: 28 [4864/10284]	Loss: 0.1953	LR: 0.004000
Training Epoch: 28 [5120/10284]	Loss: 0.1527	LR: 0.004000
Training Epoch: 28 [5376/10284]	Loss: 0.1592	LR: 0.004000
Training Epoch: 28 [5632/10284]	Loss: 0.1414	LR: 0.004000
Training Epoch: 28 [5888/10284]	Loss: 0.1497	LR: 0.004000
Training Epoch: 28 [6144/10284]	Loss: 0.1906	LR: 0.004000
Training Epoch: 28 [6400/10284]	Loss: 0.1512	LR: 0.004000
Training Epoch: 28 [6656/10284]	Loss: 0.1789	LR: 0.004000
Training Epoch: 28 [6912/10284]	Loss: 0.1361	LR: 0.004000
Training Epoch: 28 [7168/10284]	Loss: 0.1646	LR: 0.004000
Training Epoch: 28 [7424/10284]	Loss: 0.1517	LR: 0.004000
Training Epoch: 28 [7680/10284]	Loss: 0.1513	LR: 0.004000
Training Epoch: 28 [7936/10284]	Loss: 0.2255	LR: 0.004000
Training Epoch: 28 [8192/10284]	Loss: 0.1432	LR: 0.004000
Training Epoch: 28 [8448/10284]	Loss: 0.1839	LR: 0.004000
Training Epoch: 28 [8704/10284]	Loss: 0.1499	LR: 0.004000
Training Epoch: 28 [8960/10284]	Loss: 0.1438	LR: 0.004000
Training Epoch: 28 [9216/10284]	Loss: 0.1832	LR: 0.004000
Training Epoch: 28 [9472/10284]	Loss: 0.1537	LR: 0.004000
Training Epoch: 28 [9728/10284]	Loss: 0.1911	LR: 0.004000
Training Epoch: 28 [9984/10284]	Loss: 0.1714	LR: 0.004000
Training Epoch: 28 [10240/10284]	Loss: 0.1341	LR: 0.004000
Training Epoch: 28 [10284/10284]	Loss: 0.1374	LR: 0.004000
Epoch 28 - Average Train Loss: 0.1588, Train Accuracy: 0.9370
Epoch 28 training time consumed: 151.73s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0006, Accuracy: 0.9375, Time consumed:7.94s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_21h_33m_01s/ResNet18-MUCAC-seed7-ret75-28-best.pth
Training Epoch: 29 [256/10284]	Loss: 0.1340	LR: 0.004000
Training Epoch: 29 [512/10284]	Loss: 0.1395	LR: 0.004000
Training Epoch: 29 [768/10284]	Loss: 0.2027	LR: 0.004000
Training Epoch: 29 [1024/10284]	Loss: 0.1611	LR: 0.004000
Training Epoch: 29 [1280/10284]	Loss: 0.1349	LR: 0.004000
Training Epoch: 29 [1536/10284]	Loss: 0.1348	LR: 0.004000
Training Epoch: 29 [1792/10284]	Loss: 0.1630	LR: 0.004000
Training Epoch: 29 [2048/10284]	Loss: 0.1410	LR: 0.004000
Training Epoch: 29 [2304/10284]	Loss: 0.1356	LR: 0.004000
Training Epoch: 29 [2560/10284]	Loss: 0.0875	LR: 0.004000
Training Epoch: 29 [2816/10284]	Loss: 0.1479	LR: 0.004000
Training Epoch: 29 [3072/10284]	Loss: 0.1285	LR: 0.004000
Training Epoch: 29 [3328/10284]	Loss: 0.1882	LR: 0.004000
Training Epoch: 29 [3584/10284]	Loss: 0.1704	LR: 0.004000
Training Epoch: 29 [3840/10284]	Loss: 0.2125	LR: 0.004000
Training Epoch: 29 [4096/10284]	Loss: 0.1446	LR: 0.004000
Training Epoch: 29 [4352/10284]	Loss: 0.1489	LR: 0.004000
Training Epoch: 29 [4608/10284]	Loss: 0.1881	LR: 0.004000
Training Epoch: 29 [4864/10284]	Loss: 0.0944	LR: 0.004000
Training Epoch: 29 [5120/10284]	Loss: 0.1642	LR: 0.004000
Training Epoch: 29 [5376/10284]	Loss: 0.1426	LR: 0.004000
Training Epoch: 29 [5632/10284]	Loss: 0.1602	LR: 0.004000
Training Epoch: 29 [5888/10284]	Loss: 0.1439	LR: 0.004000
Training Epoch: 29 [6144/10284]	Loss: 0.1641	LR: 0.004000
Training Epoch: 29 [6400/10284]	Loss: 0.1303	LR: 0.004000
Training Epoch: 29 [6656/10284]	Loss: 0.1560	LR: 0.004000
Training Epoch: 29 [6912/10284]	Loss: 0.1436	LR: 0.004000
Training Epoch: 29 [7168/10284]	Loss: 0.1413	LR: 0.004000
Training Epoch: 29 [7424/10284]	Loss: 0.1632	LR: 0.004000
Training Epoch: 29 [7680/10284]	Loss: 0.2247	LR: 0.004000
Training Epoch: 29 [7936/10284]	Loss: 0.1849	LR: 0.004000
Training Epoch: 29 [8192/10284]	Loss: 0.1813	LR: 0.004000
Training Epoch: 29 [8448/10284]	Loss: 0.1648	LR: 0.004000
Training Epoch: 29 [8704/10284]	Loss: 0.1237	LR: 0.004000
Training Epoch: 29 [8960/10284]	Loss: 0.1237	LR: 0.004000
Training Epoch: 29 [9216/10284]	Loss: 0.1497	LR: 0.004000
Training Epoch: 29 [9472/10284]	Loss: 0.2049	LR: 0.004000
Training Epoch: 29 [9728/10284]	Loss: 0.1103	LR: 0.004000
Training Epoch: 29 [9984/10284]	Loss: 0.1714	LR: 0.004000
Training Epoch: 29 [10240/10284]	Loss: 0.1693	LR: 0.004000
Training Epoch: 29 [10284/10284]	Loss: 0.1300	LR: 0.004000
Epoch 29 - Average Train Loss: 0.1543, Train Accuracy: 0.9377
Epoch 29 training time consumed: 152.49s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0006, Accuracy: 0.9361, Time consumed:8.02s
Training Epoch: 30 [256/10284]	Loss: 0.1395	LR: 0.004000
Training Epoch: 30 [512/10284]	Loss: 0.1355	LR: 0.004000
Training Epoch: 30 [768/10284]	Loss: 0.1371	LR: 0.004000
Training Epoch: 30 [1024/10284]	Loss: 0.1556	LR: 0.004000
Training Epoch: 30 [1280/10284]	Loss: 0.1227	LR: 0.004000
Training Epoch: 30 [1536/10284]	Loss: 0.1187	LR: 0.004000
Training Epoch: 30 [1792/10284]	Loss: 0.1285	LR: 0.004000
Training Epoch: 30 [2048/10284]	Loss: 0.1262	LR: 0.004000
Training Epoch: 30 [2304/10284]	Loss: 0.1870	LR: 0.004000
Training Epoch: 30 [2560/10284]	Loss: 0.1863	LR: 0.004000
Training Epoch: 30 [2816/10284]	Loss: 0.1261	LR: 0.004000
Training Epoch: 30 [3072/10284]	Loss: 0.1165	LR: 0.004000
Training Epoch: 30 [3328/10284]	Loss: 0.1042	LR: 0.004000
Training Epoch: 30 [3584/10284]	Loss: 0.1556	LR: 0.004000
Training Epoch: 30 [3840/10284]	Loss: 0.1469	LR: 0.004000
Training Epoch: 30 [4096/10284]	Loss: 0.1752	LR: 0.004000
Training Epoch: 30 [4352/10284]	Loss: 0.1238	LR: 0.004000
Training Epoch: 30 [4608/10284]	Loss: 0.1754	LR: 0.004000
Training Epoch: 30 [4864/10284]	Loss: 0.2024	LR: 0.004000
Training Epoch: 30 [5120/10284]	Loss: 0.1500	LR: 0.004000
Training Epoch: 30 [5376/10284]	Loss: 0.1187	LR: 0.004000
Training Epoch: 30 [5632/10284]	Loss: 0.1242	LR: 0.004000
Training Epoch: 30 [5888/10284]	Loss: 0.1444	LR: 0.004000
Training Epoch: 30 [6144/10284]	Loss: 0.1157	LR: 0.004000
Training Epoch: 30 [6400/10284]	Loss: 0.1940	LR: 0.004000
Training Epoch: 30 [6656/10284]	Loss: 0.0958	LR: 0.004000
Training Epoch: 30 [6912/10284]	Loss: 0.1623	LR: 0.004000
Training Epoch: 30 [7168/10284]	Loss: 0.1532	LR: 0.004000
Training Epoch: 30 [7424/10284]	Loss: 0.1554	LR: 0.004000
Training Epoch: 30 [7680/10284]	Loss: 0.1374	LR: 0.004000
Training Epoch: 30 [7936/10284]	Loss: 0.1879	LR: 0.004000
Training Epoch: 30 [8192/10284]	Loss: 0.1669	LR: 0.004000
Training Epoch: 30 [8448/10284]	Loss: 0.1455	LR: 0.004000
Training Epoch: 30 [8704/10284]	Loss: 0.1597	LR: 0.004000
Training Epoch: 30 [8960/10284]	Loss: 0.2154	LR: 0.004000
Training Epoch: 30 [9216/10284]	Loss: 0.1457	LR: 0.004000
Training Epoch: 30 [9472/10284]	Loss: 0.1752	LR: 0.004000
Training Epoch: 30 [9728/10284]	Loss: 0.1681	LR: 0.004000
Training Epoch: 30 [9984/10284]	Loss: 0.1219	LR: 0.004000
Training Epoch: 30 [10240/10284]	Loss: 0.1813	LR: 0.004000
Training Epoch: 30 [10284/10284]	Loss: 0.2610	LR: 0.004000
Epoch 30 - Average Train Loss: 0.1500, Train Accuracy: 0.9383
Epoch 30 training time consumed: 152.09s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0007, Accuracy: 0.9274, Time consumed:8.14s
Training Epoch: 31 [256/10284]	Loss: 0.1835	LR: 0.004000
Training Epoch: 31 [512/10284]	Loss: 0.1215	LR: 0.004000
Training Epoch: 31 [768/10284]	Loss: 0.1618	LR: 0.004000
Training Epoch: 31 [1024/10284]	Loss: 0.1989	LR: 0.004000
Training Epoch: 31 [1280/10284]	Loss: 0.1433	LR: 0.004000
Training Epoch: 31 [1536/10284]	Loss: 0.1395	LR: 0.004000
Training Epoch: 31 [1792/10284]	Loss: 0.1777	LR: 0.004000
Training Epoch: 31 [2048/10284]	Loss: 0.1277	LR: 0.004000
Training Epoch: 31 [2304/10284]	Loss: 0.1629	LR: 0.004000
Training Epoch: 31 [2560/10284]	Loss: 0.1612	LR: 0.004000
Training Epoch: 31 [2816/10284]	Loss: 0.1630	LR: 0.004000
Training Epoch: 31 [3072/10284]	Loss: 0.1866	LR: 0.004000
Training Epoch: 31 [3328/10284]	Loss: 0.1616	LR: 0.004000
Training Epoch: 31 [3584/10284]	Loss: 0.1272	LR: 0.004000
Training Epoch: 31 [3840/10284]	Loss: 0.1559	LR: 0.004000
Training Epoch: 31 [4096/10284]	Loss: 0.1574	LR: 0.004000
Training Epoch: 31 [4352/10284]	Loss: 0.1786	LR: 0.004000
Training Epoch: 31 [4608/10284]	Loss: 0.1407	LR: 0.004000
Training Epoch: 31 [4864/10284]	Loss: 0.1487	LR: 0.004000
Training Epoch: 31 [5120/10284]	Loss: 0.1627	LR: 0.004000
Training Epoch: 31 [5376/10284]	Loss: 0.1404	LR: 0.004000
Training Epoch: 31 [5632/10284]	Loss: 0.1162	LR: 0.004000
Training Epoch: 31 [5888/10284]	Loss: 0.1510	LR: 0.004000
Training Epoch: 31 [6144/10284]	Loss: 0.1776	LR: 0.004000
Training Epoch: 31 [6400/10284]	Loss: 0.1382	LR: 0.004000
Training Epoch: 31 [6656/10284]	Loss: 0.1517	LR: 0.004000
Training Epoch: 31 [6912/10284]	Loss: 0.2038	LR: 0.004000
Training Epoch: 31 [7168/10284]	Loss: 0.1196	LR: 0.004000
Training Epoch: 31 [7424/10284]	Loss: 0.1694	LR: 0.004000
Training Epoch: 31 [7680/10284]	Loss: 0.1447	LR: 0.004000
Training Epoch: 31 [7936/10284]	Loss: 0.1230	LR: 0.004000
Training Epoch: 31 [8192/10284]	Loss: 0.1334	LR: 0.004000
Training Epoch: 31 [8448/10284]	Loss: 0.1364	LR: 0.004000
Training Epoch: 31 [8704/10284]	Loss: 0.1682	LR: 0.004000
Training Epoch: 31 [8960/10284]	Loss: 0.1801	LR: 0.004000
Training Epoch: 31 [9216/10284]	Loss: 0.2078	LR: 0.004000
Training Epoch: 31 [9472/10284]	Loss: 0.1636	LR: 0.004000
Training Epoch: 31 [9728/10284]	Loss: 0.1714	LR: 0.004000
Training Epoch: 31 [9984/10284]	Loss: 0.1054	LR: 0.004000
Training Epoch: 31 [10240/10284]	Loss: 0.1900	LR: 0.004000
Training Epoch: 31 [10284/10284]	Loss: 0.2417	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1567, Train Accuracy: 0.9336
Epoch 31 training time consumed: 151.59s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0006, Accuracy: 0.9370, Time consumed:8.10s
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: 94.35763549804688
Retain Accuracy: 94.15361785888672
Zero-Retain Forget (ZRF): 0.8229988813400269
Membership Inference Attack (MIA): 0.3522727272727273
Forget vs Retain Membership Inference Attack (MIA): 0.5283018867924528
Forget vs Test Membership Inference Attack (MIA): 0.5283018867924528
Test vs Retain Membership Inference Attack (MIA): 0.5254237288135594
Train vs Test Membership Inference Attack (MIA): 0.5520581113801453
Forget Set Accuracy (Df): 97.265625
Method Execution Time: 11264.64 seconds
