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

📌 S Retain class distribution for seed 5:
Class 0: 5284
Class 1: 4210

📌 S Forget class distribution for seed 5:
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: 0.7774	LR: 0.000000
Training Epoch: 1 [512/10284]	Loss: 0.7630	LR: 0.002439
Training Epoch: 1 [768/10284]	Loss: 0.6942	LR: 0.004878
Training Epoch: 1 [1024/10284]	Loss: 0.8400	LR: 0.007317
Training Epoch: 1 [1280/10284]	Loss: 0.9217	LR: 0.009756
Training Epoch: 1 [1536/10284]	Loss: 0.6794	LR: 0.012195
Training Epoch: 1 [1792/10284]	Loss: 0.9743	LR: 0.014634
Training Epoch: 1 [2048/10284]	Loss: 0.6814	LR: 0.017073
Training Epoch: 1 [2304/10284]	Loss: 0.8888	LR: 0.019512
Training Epoch: 1 [2560/10284]	Loss: 0.7144	LR: 0.021951
Training Epoch: 1 [2816/10284]	Loss: 0.8526	LR: 0.024390
Training Epoch: 1 [3072/10284]	Loss: 1.1086	LR: 0.026829
Training Epoch: 1 [3328/10284]	Loss: 1.0953	LR: 0.029268
Training Epoch: 1 [3584/10284]	Loss: 1.1915	LR: 0.031707
Training Epoch: 1 [3840/10284]	Loss: 0.9026	LR: 0.034146
Training Epoch: 1 [4096/10284]	Loss: 0.7680	LR: 0.036585
Training Epoch: 1 [4352/10284]	Loss: 0.6817	LR: 0.039024
Training Epoch: 1 [4608/10284]	Loss: 0.6664	LR: 0.041463
Training Epoch: 1 [4864/10284]	Loss: 0.7096	LR: 0.043902
Training Epoch: 1 [5120/10284]	Loss: 1.3531	LR: 0.046341
Training Epoch: 1 [5376/10284]	Loss: 1.4536	LR: 0.048780
Training Epoch: 1 [5632/10284]	Loss: 0.7476	LR: 0.051220
Training Epoch: 1 [5888/10284]	Loss: 1.4322	LR: 0.053659
Training Epoch: 1 [6144/10284]	Loss: 0.9249	LR: 0.056098
Training Epoch: 1 [6400/10284]	Loss: 1.0551	LR: 0.058537
Training Epoch: 1 [6656/10284]	Loss: 1.0345	LR: 0.060976
Training Epoch: 1 [6912/10284]	Loss: 1.2616	LR: 0.063415
Training Epoch: 1 [7168/10284]	Loss: 0.9787	LR: 0.065854
Training Epoch: 1 [7424/10284]	Loss: 1.4902	LR: 0.068293
Training Epoch: 1 [7680/10284]	Loss: 0.8116	LR: 0.070732
Training Epoch: 1 [7936/10284]	Loss: 0.8841	LR: 0.073171
Training Epoch: 1 [8192/10284]	Loss: 1.0104	LR: 0.075610
Training Epoch: 1 [8448/10284]	Loss: 0.8487	LR: 0.078049
Training Epoch: 1 [8704/10284]	Loss: 0.7517	LR: 0.080488
Training Epoch: 1 [8960/10284]	Loss: 0.7598	LR: 0.082927
Training Epoch: 1 [9216/10284]	Loss: 0.7474	LR: 0.085366
Training Epoch: 1 [9472/10284]	Loss: 0.7287	LR: 0.087805
Training Epoch: 1 [9728/10284]	Loss: 0.7053	LR: 0.090244
Training Epoch: 1 [9984/10284]	Loss: 0.7001	LR: 0.092683
Training Epoch: 1 [10240/10284]	Loss: 0.7535	LR: 0.095122
Training Epoch: 1 [10284/10284]	Loss: 0.7595	LR: 0.097561
Epoch 1 - Average Train Loss: 0.9080, Train Accuracy: 0.5057
Epoch 1 training time consumed: 333.68s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0069, Accuracy: 0.4838, Time consumed:8.15s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-1-best.pth
Training Epoch: 2 [256/10284]	Loss: 0.6992	LR: 0.100000
Training Epoch: 2 [512/10284]	Loss: 0.6987	LR: 0.100000
Training Epoch: 2 [768/10284]	Loss: 0.8789	LR: 0.100000
Training Epoch: 2 [1024/10284]	Loss: 0.7326	LR: 0.100000
Training Epoch: 2 [1280/10284]	Loss: 0.6898	LR: 0.100000
Training Epoch: 2 [1536/10284]	Loss: 0.7122	LR: 0.100000
Training Epoch: 2 [1792/10284]	Loss: 0.7362	LR: 0.100000
Training Epoch: 2 [2048/10284]	Loss: 0.8035	LR: 0.100000
Training Epoch: 2 [2304/10284]	Loss: 0.7133	LR: 0.100000
Training Epoch: 2 [2560/10284]	Loss: 0.7445	LR: 0.100000
Training Epoch: 2 [2816/10284]	Loss: 0.9617	LR: 0.100000
Training Epoch: 2 [3072/10284]	Loss: 0.9409	LR: 0.100000
Training Epoch: 2 [3328/10284]	Loss: 0.7362	LR: 0.100000
Training Epoch: 2 [3584/10284]	Loss: 0.8493	LR: 0.100000
Training Epoch: 2 [3840/10284]	Loss: 0.6996	LR: 0.100000
Training Epoch: 2 [4096/10284]	Loss: 0.7268	LR: 0.100000
Training Epoch: 2 [4352/10284]	Loss: 0.8168	LR: 0.100000
Training Epoch: 2 [4608/10284]	Loss: 0.7883	LR: 0.100000
Training Epoch: 2 [4864/10284]	Loss: 0.7550	LR: 0.100000
Training Epoch: 2 [5120/10284]	Loss: 0.7345	LR: 0.100000
Training Epoch: 2 [5376/10284]	Loss: 0.7366	LR: 0.100000
Training Epoch: 2 [5632/10284]	Loss: 0.7150	LR: 0.100000
Training Epoch: 2 [5888/10284]	Loss: 0.6951	LR: 0.100000
Training Epoch: 2 [6144/10284]	Loss: 0.7262	LR: 0.100000
Training Epoch: 2 [6400/10284]	Loss: 0.7538	LR: 0.100000
Training Epoch: 2 [6656/10284]	Loss: 0.7423	LR: 0.100000
Training Epoch: 2 [6912/10284]	Loss: 0.7038	LR: 0.100000
Training Epoch: 2 [7168/10284]	Loss: 0.6924	LR: 0.100000
Training Epoch: 2 [7424/10284]	Loss: 0.6900	LR: 0.100000
Training Epoch: 2 [7680/10284]	Loss: 0.7251	LR: 0.100000
Training Epoch: 2 [7936/10284]	Loss: 0.6891	LR: 0.100000
Training Epoch: 2 [8192/10284]	Loss: 0.6863	LR: 0.100000
Training Epoch: 2 [8448/10284]	Loss: 0.6889	LR: 0.100000
Training Epoch: 2 [8704/10284]	Loss: 0.6828	LR: 0.100000
Training Epoch: 2 [8960/10284]	Loss: 0.7025	LR: 0.100000
Training Epoch: 2 [9216/10284]	Loss: 0.6754	LR: 0.100000
Training Epoch: 2 [9472/10284]	Loss: 0.7046	LR: 0.100000
Training Epoch: 2 [9728/10284]	Loss: 0.6946	LR: 0.100000
Training Epoch: 2 [9984/10284]	Loss: 0.6956	LR: 0.100000
Training Epoch: 2 [10240/10284]	Loss: 0.6836	LR: 0.100000
Training Epoch: 2 [10284/10284]	Loss: 0.7081	LR: 0.100000
Epoch 2 - Average Train Loss: 0.7374, Train Accuracy: 0.5350
Epoch 2 training time consumed: 149.83s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0031, Accuracy: 0.5031, Time consumed:8.01s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-2-best.pth
Training Epoch: 3 [256/10284]	Loss: 0.6950	LR: 0.100000
Training Epoch: 3 [512/10284]	Loss: 0.6899	LR: 0.100000
Training Epoch: 3 [768/10284]	Loss: 0.6775	LR: 0.100000
Training Epoch: 3 [1024/10284]	Loss: 0.7033	LR: 0.100000
Training Epoch: 3 [1280/10284]	Loss: 0.7036	LR: 0.100000
Training Epoch: 3 [1536/10284]	Loss: 0.6770	LR: 0.100000
Training Epoch: 3 [1792/10284]	Loss: 0.7154	LR: 0.100000
Training Epoch: 3 [2048/10284]	Loss: 0.6510	LR: 0.100000
Training Epoch: 3 [2304/10284]	Loss: 0.7314	LR: 0.100000
Training Epoch: 3 [2560/10284]	Loss: 0.7016	LR: 0.100000
Training Epoch: 3 [2816/10284]	Loss: 0.6613	LR: 0.100000
Training Epoch: 3 [3072/10284]	Loss: 0.6992	LR: 0.100000
Training Epoch: 3 [3328/10284]	Loss: 0.6811	LR: 0.100000
Training Epoch: 3 [3584/10284]	Loss: 0.7049	LR: 0.100000
Training Epoch: 3 [3840/10284]	Loss: 0.6838	LR: 0.100000
Training Epoch: 3 [4096/10284]	Loss: 0.6796	LR: 0.100000
Training Epoch: 3 [4352/10284]	Loss: 0.6773	LR: 0.100000
Training Epoch: 3 [4608/10284]	Loss: 0.6777	LR: 0.100000
Training Epoch: 3 [4864/10284]	Loss: 0.7174	LR: 0.100000
Training Epoch: 3 [5120/10284]	Loss: 0.6964	LR: 0.100000
Training Epoch: 3 [5376/10284]	Loss: 0.6644	LR: 0.100000
Training Epoch: 3 [5632/10284]	Loss: 0.6863	LR: 0.100000
Training Epoch: 3 [5888/10284]	Loss: 0.6779	LR: 0.100000
Training Epoch: 3 [6144/10284]	Loss: 0.6797	LR: 0.100000
Training Epoch: 3 [6400/10284]	Loss: 0.6783	LR: 0.100000
Training Epoch: 3 [6656/10284]	Loss: 0.6980	LR: 0.100000
Training Epoch: 3 [6912/10284]	Loss: 0.6720	LR: 0.100000
Training Epoch: 3 [7168/10284]	Loss: 0.7048	LR: 0.100000
Training Epoch: 3 [7424/10284]	Loss: 0.6940	LR: 0.100000
Training Epoch: 3 [7680/10284]	Loss: 0.6543	LR: 0.100000
Training Epoch: 3 [7936/10284]	Loss: 0.6679	LR: 0.100000
Training Epoch: 3 [8192/10284]	Loss: 0.6717	LR: 0.100000
Training Epoch: 3 [8448/10284]	Loss: 0.6886	LR: 0.100000
Training Epoch: 3 [8704/10284]	Loss: 0.6650	LR: 0.100000
Training Epoch: 3 [8960/10284]	Loss: 0.6849	LR: 0.100000
Training Epoch: 3 [9216/10284]	Loss: 0.6870	LR: 0.100000
Training Epoch: 3 [9472/10284]	Loss: 0.6682	LR: 0.100000
Training Epoch: 3 [9728/10284]	Loss: 0.6910	LR: 0.100000
Training Epoch: 3 [9984/10284]	Loss: 0.6842	LR: 0.100000
Training Epoch: 3 [10240/10284]	Loss: 0.6945	LR: 0.100000
Training Epoch: 3 [10284/10284]	Loss: 0.6211	LR: 0.100000
Epoch 3 - Average Train Loss: 0.6856, Train Accuracy: 0.5625
Epoch 3 training time consumed: 149.31s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0030, Accuracy: 0.5777, Time consumed:8.04s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-3-best.pth
Training Epoch: 4 [256/10284]	Loss: 0.7128	LR: 0.100000
Training Epoch: 4 [512/10284]	Loss: 0.6947	LR: 0.100000
Training Epoch: 4 [768/10284]	Loss: 0.7033	LR: 0.100000
Training Epoch: 4 [1024/10284]	Loss: 0.7192	LR: 0.100000
Training Epoch: 4 [1280/10284]	Loss: 0.6824	LR: 0.100000
Training Epoch: 4 [1536/10284]	Loss: 0.6713	LR: 0.100000
Training Epoch: 4 [1792/10284]	Loss: 0.6677	LR: 0.100000
Training Epoch: 4 [2048/10284]	Loss: 0.6922	LR: 0.100000
Training Epoch: 4 [2304/10284]	Loss: 0.6914	LR: 0.100000
Training Epoch: 4 [2560/10284]	Loss: 0.6971	LR: 0.100000
Training Epoch: 4 [2816/10284]	Loss: 0.7277	LR: 0.100000
Training Epoch: 4 [3072/10284]	Loss: 0.6791	LR: 0.100000
Training Epoch: 4 [3328/10284]	Loss: 0.6703	LR: 0.100000
Training Epoch: 4 [3584/10284]	Loss: 0.6404	LR: 0.100000
Training Epoch: 4 [3840/10284]	Loss: 0.6385	LR: 0.100000
Training Epoch: 4 [4096/10284]	Loss: 0.6394	LR: 0.100000
Training Epoch: 4 [4352/10284]	Loss: 0.6739	LR: 0.100000
Training Epoch: 4 [4608/10284]	Loss: 0.6495	LR: 0.100000
Training Epoch: 4 [4864/10284]	Loss: 0.6933	LR: 0.100000
Training Epoch: 4 [5120/10284]	Loss: 0.6686	LR: 0.100000
Training Epoch: 4 [5376/10284]	Loss: 0.7151	LR: 0.100000
Training Epoch: 4 [5632/10284]	Loss: 0.6748	LR: 0.100000
Training Epoch: 4 [5888/10284]	Loss: 0.6787	LR: 0.100000
Training Epoch: 4 [6144/10284]	Loss: 0.6616	LR: 0.100000
Training Epoch: 4 [6400/10284]	Loss: 0.6902	LR: 0.100000
Training Epoch: 4 [6656/10284]	Loss: 0.6716	LR: 0.100000
Training Epoch: 4 [6912/10284]	Loss: 0.6743	LR: 0.100000
Training Epoch: 4 [7168/10284]	Loss: 0.6757	LR: 0.100000
Training Epoch: 4 [7424/10284]	Loss: 0.6800	LR: 0.100000
Training Epoch: 4 [7680/10284]	Loss: 0.6924	LR: 0.100000
Training Epoch: 4 [7936/10284]	Loss: 0.6759	LR: 0.100000
Training Epoch: 4 [8192/10284]	Loss: 0.6595	LR: 0.100000
Training Epoch: 4 [8448/10284]	Loss: 0.6602	LR: 0.100000
Training Epoch: 4 [8704/10284]	Loss: 0.6725	LR: 0.100000
Training Epoch: 4 [8960/10284]	Loss: 0.6657	LR: 0.100000
Training Epoch: 4 [9216/10284]	Loss: 0.6760	LR: 0.100000
Training Epoch: 4 [9472/10284]	Loss: 0.6339	LR: 0.100000
Training Epoch: 4 [9728/10284]	Loss: 0.7382	LR: 0.100000
Training Epoch: 4 [9984/10284]	Loss: 0.6683	LR: 0.100000
Training Epoch: 4 [10240/10284]	Loss: 0.6431	LR: 0.100000
Training Epoch: 4 [10284/10284]	Loss: 0.5951	LR: 0.100000
Epoch 4 - Average Train Loss: 0.6777, Train Accuracy: 0.5906
Epoch 4 training time consumed: 149.28s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0030, Accuracy: 0.5845, Time consumed:8.14s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-4-best.pth
Training Epoch: 5 [256/10284]	Loss: 0.6590	LR: 0.100000
Training Epoch: 5 [512/10284]	Loss: 0.6853	LR: 0.100000
Training Epoch: 5 [768/10284]	Loss: 0.6980	LR: 0.100000
Training Epoch: 5 [1024/10284]	Loss: 0.6942	LR: 0.100000
Training Epoch: 5 [1280/10284]	Loss: 0.6746	LR: 0.100000
Training Epoch: 5 [1536/10284]	Loss: 0.6914	LR: 0.100000
Training Epoch: 5 [1792/10284]	Loss: 0.6720	LR: 0.100000
Training Epoch: 5 [2048/10284]	Loss: 0.6887	LR: 0.100000
Training Epoch: 5 [2304/10284]	Loss: 0.6905	LR: 0.100000
Training Epoch: 5 [2560/10284]	Loss: 0.6672	LR: 0.100000
Training Epoch: 5 [2816/10284]	Loss: 0.7000	LR: 0.100000
Training Epoch: 5 [3072/10284]	Loss: 0.6859	LR: 0.100000
Training Epoch: 5 [3328/10284]	Loss: 0.7071	LR: 0.100000
Training Epoch: 5 [3584/10284]	Loss: 0.6743	LR: 0.100000
Training Epoch: 5 [3840/10284]	Loss: 0.6857	LR: 0.100000
Training Epoch: 5 [4096/10284]	Loss: 0.6558	LR: 0.100000
Training Epoch: 5 [4352/10284]	Loss: 0.6899	LR: 0.100000
Training Epoch: 5 [4608/10284]	Loss: 0.6765	LR: 0.100000
Training Epoch: 5 [4864/10284]	Loss: 0.6787	LR: 0.100000
Training Epoch: 5 [5120/10284]	Loss: 0.6876	LR: 0.100000
Training Epoch: 5 [5376/10284]	Loss: 0.6717	LR: 0.100000
Training Epoch: 5 [5632/10284]	Loss: 0.6744	LR: 0.100000
Training Epoch: 5 [5888/10284]	Loss: 0.6637	LR: 0.100000
Training Epoch: 5 [6144/10284]	Loss: 0.6607	LR: 0.100000
Training Epoch: 5 [6400/10284]	Loss: 0.6856	LR: 0.100000
Training Epoch: 5 [6656/10284]	Loss: 0.6739	LR: 0.100000
Training Epoch: 5 [6912/10284]	Loss: 0.6405	LR: 0.100000
Training Epoch: 5 [7168/10284]	Loss: 0.6667	LR: 0.100000
Training Epoch: 5 [7424/10284]	Loss: 0.6710	LR: 0.100000
Training Epoch: 5 [7680/10284]	Loss: 0.6684	LR: 0.100000
Training Epoch: 5 [7936/10284]	Loss: 0.6580	LR: 0.100000
Training Epoch: 5 [8192/10284]	Loss: 0.6585	LR: 0.100000
Training Epoch: 5 [8448/10284]	Loss: 0.6612	LR: 0.100000
Training Epoch: 5 [8704/10284]	Loss: 0.6854	LR: 0.100000
Training Epoch: 5 [8960/10284]	Loss: 0.6833	LR: 0.100000
Training Epoch: 5 [9216/10284]	Loss: 0.6573	LR: 0.100000
Training Epoch: 5 [9472/10284]	Loss: 0.6910	LR: 0.100000
Training Epoch: 5 [9728/10284]	Loss: 0.6664	LR: 0.100000
Training Epoch: 5 [9984/10284]	Loss: 0.6752	LR: 0.100000
Training Epoch: 5 [10240/10284]	Loss: 0.6695	LR: 0.100000
Training Epoch: 5 [10284/10284]	Loss: 0.6827	LR: 0.100000
Epoch 5 - Average Train Loss: 0.6762, Train Accuracy: 0.5849
Epoch 5 training time consumed: 149.63s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0029, Accuracy: 0.6116, Time consumed:8.12s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-5-best.pth
Training Epoch: 6 [256/10284]	Loss: 0.6634	LR: 0.100000
Training Epoch: 6 [512/10284]	Loss: 0.6714	LR: 0.100000
Training Epoch: 6 [768/10284]	Loss: 0.6794	LR: 0.100000
Training Epoch: 6 [1024/10284]	Loss: 0.6670	LR: 0.100000
Training Epoch: 6 [1280/10284]	Loss: 0.6840	LR: 0.100000
Training Epoch: 6 [1536/10284]	Loss: 0.6626	LR: 0.100000
Training Epoch: 6 [1792/10284]	Loss: 0.6646	LR: 0.100000
Training Epoch: 6 [2048/10284]	Loss: 0.6751	LR: 0.100000
Training Epoch: 6 [2304/10284]	Loss: 0.6574	LR: 0.100000
Training Epoch: 6 [2560/10284]	Loss: 0.6644	LR: 0.100000
Training Epoch: 6 [2816/10284]	Loss: 0.6652	LR: 0.100000
Training Epoch: 6 [3072/10284]	Loss: 0.6645	LR: 0.100000
Training Epoch: 6 [3328/10284]	Loss: 0.6999	LR: 0.100000
Training Epoch: 6 [3584/10284]	Loss: 0.6515	LR: 0.100000
Training Epoch: 6 [3840/10284]	Loss: 0.6539	LR: 0.100000
Training Epoch: 6 [4096/10284]	Loss: 0.6664	LR: 0.100000
Training Epoch: 6 [4352/10284]	Loss: 0.6369	LR: 0.100000
Training Epoch: 6 [4608/10284]	Loss: 0.6872	LR: 0.100000
Training Epoch: 6 [4864/10284]	Loss: 0.6608	LR: 0.100000
Training Epoch: 6 [5120/10284]	Loss: 0.6768	LR: 0.100000
Training Epoch: 6 [5376/10284]	Loss: 0.6595	LR: 0.100000
Training Epoch: 6 [5632/10284]	Loss: 0.6588	LR: 0.100000
Training Epoch: 6 [5888/10284]	Loss: 0.6463	LR: 0.100000
Training Epoch: 6 [6144/10284]	Loss: 0.6722	LR: 0.100000
Training Epoch: 6 [6400/10284]	Loss: 0.6970	LR: 0.100000
Training Epoch: 6 [6656/10284]	Loss: 0.6431	LR: 0.100000
Training Epoch: 6 [6912/10284]	Loss: 0.6754	LR: 0.100000
Training Epoch: 6 [7168/10284]	Loss: 0.7037	LR: 0.100000
Training Epoch: 6 [7424/10284]	Loss: 0.6609	LR: 0.100000
Training Epoch: 6 [7680/10284]	Loss: 0.6490	LR: 0.100000
Training Epoch: 6 [7936/10284]	Loss: 0.6648	LR: 0.100000
Training Epoch: 6 [8192/10284]	Loss: 0.6689	LR: 0.100000
Training Epoch: 6 [8448/10284]	Loss: 0.6487	LR: 0.100000
Training Epoch: 6 [8704/10284]	Loss: 0.6795	LR: 0.100000
Training Epoch: 6 [8960/10284]	Loss: 0.6782	LR: 0.100000
Training Epoch: 6 [9216/10284]	Loss: 0.6621	LR: 0.100000
Training Epoch: 6 [9472/10284]	Loss: 0.6774	LR: 0.100000
Training Epoch: 6 [9728/10284]	Loss: 0.6512	LR: 0.100000
Training Epoch: 6 [9984/10284]	Loss: 0.6941	LR: 0.100000
Training Epoch: 6 [10240/10284]	Loss: 0.6971	LR: 0.100000
Training Epoch: 6 [10284/10284]	Loss: 0.6570	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6685, Train Accuracy: 0.5968
Epoch 6 training time consumed: 149.00s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0030, Accuracy: 0.5864, Time consumed:8.04s
Training Epoch: 7 [256/10284]	Loss: 0.6549	LR: 0.100000
Training Epoch: 7 [512/10284]	Loss: 0.6715	LR: 0.100000
Training Epoch: 7 [768/10284]	Loss: 0.6617	LR: 0.100000
Training Epoch: 7 [1024/10284]	Loss: 0.6704	LR: 0.100000
Training Epoch: 7 [1280/10284]	Loss: 0.6721	LR: 0.100000
Training Epoch: 7 [1536/10284]	Loss: 0.6781	LR: 0.100000
Training Epoch: 7 [1792/10284]	Loss: 0.6532	LR: 0.100000
Training Epoch: 7 [2048/10284]	Loss: 0.6426	LR: 0.100000
Training Epoch: 7 [2304/10284]	Loss: 0.6305	LR: 0.100000
Training Epoch: 7 [2560/10284]	Loss: 0.6836	LR: 0.100000
Training Epoch: 7 [2816/10284]	Loss: 0.6806	LR: 0.100000
Training Epoch: 7 [3072/10284]	Loss: 0.6503	LR: 0.100000
Training Epoch: 7 [3328/10284]	Loss: 0.6636	LR: 0.100000
Training Epoch: 7 [3584/10284]	Loss: 0.6390	LR: 0.100000
Training Epoch: 7 [3840/10284]	Loss: 0.6442	LR: 0.100000
Training Epoch: 7 [4096/10284]	Loss: 0.6538	LR: 0.100000
Training Epoch: 7 [4352/10284]	Loss: 0.6657	LR: 0.100000
Training Epoch: 7 [4608/10284]	Loss: 0.6462	LR: 0.100000
Training Epoch: 7 [4864/10284]	Loss: 0.6563	LR: 0.100000
Training Epoch: 7 [5120/10284]	Loss: 0.6356	LR: 0.100000
Training Epoch: 7 [5376/10284]	Loss: 0.6527	LR: 0.100000
Training Epoch: 7 [5632/10284]	Loss: 0.6672	LR: 0.100000
Training Epoch: 7 [5888/10284]	Loss: 0.6387	LR: 0.100000
Training Epoch: 7 [6144/10284]	Loss: 0.6699	LR: 0.100000
Training Epoch: 7 [6400/10284]	Loss: 0.6502	LR: 0.100000
Training Epoch: 7 [6656/10284]	Loss: 0.6455	LR: 0.100000
Training Epoch: 7 [6912/10284]	Loss: 0.6715	LR: 0.100000
Training Epoch: 7 [7168/10284]	Loss: 0.6412	LR: 0.100000
Training Epoch: 7 [7424/10284]	Loss: 0.6537	LR: 0.100000
Training Epoch: 7 [7680/10284]	Loss: 0.6825	LR: 0.100000
Training Epoch: 7 [7936/10284]	Loss: 0.6638	LR: 0.100000
Training Epoch: 7 [8192/10284]	Loss: 0.6248	LR: 0.100000
Training Epoch: 7 [8448/10284]	Loss: 0.6372	LR: 0.100000
Training Epoch: 7 [8704/10284]	Loss: 0.6554	LR: 0.100000
Training Epoch: 7 [8960/10284]	Loss: 0.6578	LR: 0.100000
Training Epoch: 7 [9216/10284]	Loss: 0.6737	LR: 0.100000
Training Epoch: 7 [9472/10284]	Loss: 0.6464	LR: 0.100000
Training Epoch: 7 [9728/10284]	Loss: 0.6923	LR: 0.100000
Training Epoch: 7 [9984/10284]	Loss: 0.6550	LR: 0.100000
Training Epoch: 7 [10240/10284]	Loss: 0.6428	LR: 0.100000
Training Epoch: 7 [10284/10284]	Loss: 0.5950	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6566, Train Accuracy: 0.6133
Epoch 7 training time consumed: 149.14s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0029, Accuracy: 0.6136, Time consumed:7.92s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-7-best.pth
Training Epoch: 8 [256/10284]	Loss: 0.6434	LR: 0.100000
Training Epoch: 8 [512/10284]	Loss: 0.6556	LR: 0.100000
Training Epoch: 8 [768/10284]	Loss: 0.6279	LR: 0.100000
Training Epoch: 8 [1024/10284]	Loss: 0.6235	LR: 0.100000
Training Epoch: 8 [1280/10284]	Loss: 0.6473	LR: 0.100000
Training Epoch: 8 [1536/10284]	Loss: 0.6444	LR: 0.100000
Training Epoch: 8 [1792/10284]	Loss: 0.6353	LR: 0.100000
Training Epoch: 8 [2048/10284]	Loss: 0.6960	LR: 0.100000
Training Epoch: 8 [2304/10284]	Loss: 0.5948	LR: 0.100000
Training Epoch: 8 [2560/10284]	Loss: 0.6634	LR: 0.100000
Training Epoch: 8 [2816/10284]	Loss: 0.6516	LR: 0.100000
Training Epoch: 8 [3072/10284]	Loss: 0.6559	LR: 0.100000
Training Epoch: 8 [3328/10284]	Loss: 0.6245	LR: 0.100000
Training Epoch: 8 [3584/10284]	Loss: 0.6447	LR: 0.100000
Training Epoch: 8 [3840/10284]	Loss: 0.6444	LR: 0.100000
Training Epoch: 8 [4096/10284]	Loss: 0.6365	LR: 0.100000
Training Epoch: 8 [4352/10284]	Loss: 0.6540	LR: 0.100000
Training Epoch: 8 [4608/10284]	Loss: 0.6408	LR: 0.100000
Training Epoch: 8 [4864/10284]	Loss: 0.6316	LR: 0.100000
Training Epoch: 8 [5120/10284]	Loss: 0.6384	LR: 0.100000
Training Epoch: 8 [5376/10284]	Loss: 0.6416	LR: 0.100000
Training Epoch: 8 [5632/10284]	Loss: 0.6181	LR: 0.100000
Training Epoch: 8 [5888/10284]	Loss: 0.6467	LR: 0.100000
Training Epoch: 8 [6144/10284]	Loss: 0.6181	LR: 0.100000
Training Epoch: 8 [6400/10284]	Loss: 0.5856	LR: 0.100000
Training Epoch: 8 [6656/10284]	Loss: 0.6486	LR: 0.100000
Training Epoch: 8 [6912/10284]	Loss: 0.6258	LR: 0.100000
Training Epoch: 8 [7168/10284]	Loss: 0.5954	LR: 0.100000
Training Epoch: 8 [7424/10284]	Loss: 0.6011	LR: 0.100000
Training Epoch: 8 [7680/10284]	Loss: 0.5778	LR: 0.100000
Training Epoch: 8 [7936/10284]	Loss: 0.5991	LR: 0.100000
Training Epoch: 8 [8192/10284]	Loss: 0.6390	LR: 0.100000
Training Epoch: 8 [8448/10284]	Loss: 0.5627	LR: 0.100000
Training Epoch: 8 [8704/10284]	Loss: 0.5931	LR: 0.100000
Training Epoch: 8 [8960/10284]	Loss: 0.6096	LR: 0.100000
Training Epoch: 8 [9216/10284]	Loss: 0.6466	LR: 0.100000
Training Epoch: 8 [9472/10284]	Loss: 0.6778	LR: 0.100000
Training Epoch: 8 [9728/10284]	Loss: 0.6431	LR: 0.100000
Training Epoch: 8 [9984/10284]	Loss: 0.6316	LR: 0.100000
Training Epoch: 8 [10240/10284]	Loss: 0.6177	LR: 0.100000
Training Epoch: 8 [10284/10284]	Loss: 0.6616	LR: 0.100000
Epoch 8 - Average Train Loss: 0.6310, Train Accuracy: 0.6448
Epoch 8 training time consumed: 149.36s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0028, Accuracy: 0.6305, Time consumed:8.03s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-8-best.pth
Training Epoch: 9 [256/10284]	Loss: 0.6221	LR: 0.100000
Training Epoch: 9 [512/10284]	Loss: 0.6420	LR: 0.100000
Training Epoch: 9 [768/10284]	Loss: 0.6093	LR: 0.100000
Training Epoch: 9 [1024/10284]	Loss: 0.6244	LR: 0.100000
Training Epoch: 9 [1280/10284]	Loss: 0.5808	LR: 0.100000
Training Epoch: 9 [1536/10284]	Loss: 0.6297	LR: 0.100000
Training Epoch: 9 [1792/10284]	Loss: 0.6319	LR: 0.100000
Training Epoch: 9 [2048/10284]	Loss: 0.6018	LR: 0.100000
Training Epoch: 9 [2304/10284]	Loss: 0.5895	LR: 0.100000
Training Epoch: 9 [2560/10284]	Loss: 0.6110	LR: 0.100000
Training Epoch: 9 [2816/10284]	Loss: 0.5967	LR: 0.100000
Training Epoch: 9 [3072/10284]	Loss: 0.5957	LR: 0.100000
Training Epoch: 9 [3328/10284]	Loss: 0.6349	LR: 0.100000
Training Epoch: 9 [3584/10284]	Loss: 0.5725	LR: 0.100000
Training Epoch: 9 [3840/10284]	Loss: 0.5892	LR: 0.100000
Training Epoch: 9 [4096/10284]	Loss: 0.5914	LR: 0.100000
Training Epoch: 9 [4352/10284]	Loss: 0.5815	LR: 0.100000
Training Epoch: 9 [4608/10284]	Loss: 0.5470	LR: 0.100000
Training Epoch: 9 [4864/10284]	Loss: 0.5927	LR: 0.100000
Training Epoch: 9 [5120/10284]	Loss: 0.6095	LR: 0.100000
Training Epoch: 9 [5376/10284]	Loss: 0.6111	LR: 0.100000
Training Epoch: 9 [5632/10284]	Loss: 0.5894	LR: 0.100000
Training Epoch: 9 [5888/10284]	Loss: 0.5719	LR: 0.100000
Training Epoch: 9 [6144/10284]	Loss: 0.5528	LR: 0.100000
Training Epoch: 9 [6400/10284]	Loss: 0.6376	LR: 0.100000
Training Epoch: 9 [6656/10284]	Loss: 0.5848	LR: 0.100000
Training Epoch: 9 [6912/10284]	Loss: 0.6311	LR: 0.100000
Training Epoch: 9 [7168/10284]	Loss: 0.6447	LR: 0.100000
Training Epoch: 9 [7424/10284]	Loss: 0.6032	LR: 0.100000
Training Epoch: 9 [7680/10284]	Loss: 0.6140	LR: 0.100000
Training Epoch: 9 [7936/10284]	Loss: 0.6035	LR: 0.100000
Training Epoch: 9 [8192/10284]	Loss: 0.5904	LR: 0.100000
Training Epoch: 9 [8448/10284]	Loss: 0.6460	LR: 0.100000
Training Epoch: 9 [8704/10284]	Loss: 0.6039	LR: 0.100000
Training Epoch: 9 [8960/10284]	Loss: 0.6012	LR: 0.100000
Training Epoch: 9 [9216/10284]	Loss: 0.6175	LR: 0.100000
Training Epoch: 9 [9472/10284]	Loss: 0.5765	LR: 0.100000
Training Epoch: 9 [9728/10284]	Loss: 0.6062	LR: 0.100000
Training Epoch: 9 [9984/10284]	Loss: 0.5854	LR: 0.100000
Training Epoch: 9 [10240/10284]	Loss: 0.6018	LR: 0.100000
Training Epoch: 9 [10284/10284]	Loss: 0.5403	LR: 0.100000
Epoch 9 - Average Train Loss: 0.6029, Train Accuracy: 0.6789
Epoch 9 training time consumed: 150.56s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0028, Accuracy: 0.6542, Time consumed:7.95s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-9-best.pth
Training Epoch: 10 [256/10284]	Loss: 0.6004	LR: 0.020000
Training Epoch: 10 [512/10284]	Loss: 0.5470	LR: 0.020000
Training Epoch: 10 [768/10284]	Loss: 0.5877	LR: 0.020000
Training Epoch: 10 [1024/10284]	Loss: 0.5983	LR: 0.020000
Training Epoch: 10 [1280/10284]	Loss: 0.5629	LR: 0.020000
Training Epoch: 10 [1536/10284]	Loss: 0.5280	LR: 0.020000
Training Epoch: 10 [1792/10284]	Loss: 0.5376	LR: 0.020000
Training Epoch: 10 [2048/10284]	Loss: 0.5370	LR: 0.020000
Training Epoch: 10 [2304/10284]	Loss: 0.5733	LR: 0.020000
Training Epoch: 10 [2560/10284]	Loss: 0.5371	LR: 0.020000
Training Epoch: 10 [2816/10284]	Loss: 0.5011	LR: 0.020000
Training Epoch: 10 [3072/10284]	Loss: 0.5593	LR: 0.020000
Training Epoch: 10 [3328/10284]	Loss: 0.5299	LR: 0.020000
Training Epoch: 10 [3584/10284]	Loss: 0.5883	LR: 0.020000
Training Epoch: 10 [3840/10284]	Loss: 0.5194	LR: 0.020000
Training Epoch: 10 [4096/10284]	Loss: 0.5453	LR: 0.020000
Training Epoch: 10 [4352/10284]	Loss: 0.5808	LR: 0.020000
Training Epoch: 10 [4608/10284]	Loss: 0.4957	LR: 0.020000
Training Epoch: 10 [4864/10284]	Loss: 0.5567	LR: 0.020000
Training Epoch: 10 [5120/10284]	Loss: 0.5095	LR: 0.020000
Training Epoch: 10 [5376/10284]	Loss: 0.5687	LR: 0.020000
Training Epoch: 10 [5632/10284]	Loss: 0.5244	LR: 0.020000
Training Epoch: 10 [5888/10284]	Loss: 0.5418	LR: 0.020000
Training Epoch: 10 [6144/10284]	Loss: 0.5131	LR: 0.020000
Training Epoch: 10 [6400/10284]	Loss: 0.5137	LR: 0.020000
Training Epoch: 10 [6656/10284]	Loss: 0.4597	LR: 0.020000
Training Epoch: 10 [6912/10284]	Loss: 0.5245	LR: 0.020000
Training Epoch: 10 [7168/10284]	Loss: 0.5436	LR: 0.020000
Training Epoch: 10 [7424/10284]	Loss: 0.4894	LR: 0.020000
Training Epoch: 10 [7680/10284]	Loss: 0.4795	LR: 0.020000
Training Epoch: 10 [7936/10284]	Loss: 0.5497	LR: 0.020000
Training Epoch: 10 [8192/10284]	Loss: 0.4690	LR: 0.020000
Training Epoch: 10 [8448/10284]	Loss: 0.4631	LR: 0.020000
Training Epoch: 10 [8704/10284]	Loss: 0.4823	LR: 0.020000
Training Epoch: 10 [8960/10284]	Loss: 0.5301	LR: 0.020000
Training Epoch: 10 [9216/10284]	Loss: 0.4646	LR: 0.020000
Training Epoch: 10 [9472/10284]	Loss: 0.4684	LR: 0.020000
Training Epoch: 10 [9728/10284]	Loss: 0.4686	LR: 0.020000
Training Epoch: 10 [9984/10284]	Loss: 0.4800	LR: 0.020000
Training Epoch: 10 [10240/10284]	Loss: 0.5288	LR: 0.020000
Training Epoch: 10 [10284/10284]	Loss: 0.4913	LR: 0.020000
Epoch 10 - Average Train Loss: 0.5263, Train Accuracy: 0.7396
Epoch 10 training time consumed: 149.94s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0022, Accuracy: 0.7937, Time consumed:8.07s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-10-best.pth
Training Epoch: 11 [256/10284]	Loss: 0.4997	LR: 0.020000
Training Epoch: 11 [512/10284]	Loss: 0.4496	LR: 0.020000
Training Epoch: 11 [768/10284]	Loss: 0.4985	LR: 0.020000
Training Epoch: 11 [1024/10284]	Loss: 0.5290	LR: 0.020000
Training Epoch: 11 [1280/10284]	Loss: 0.4900	LR: 0.020000
Training Epoch: 11 [1536/10284]	Loss: 0.4294	LR: 0.020000
Training Epoch: 11 [1792/10284]	Loss: 0.4192	LR: 0.020000
Training Epoch: 11 [2048/10284]	Loss: 0.4899	LR: 0.020000
Training Epoch: 11 [2304/10284]	Loss: 0.4863	LR: 0.020000
Training Epoch: 11 [2560/10284]	Loss: 0.4571	LR: 0.020000
Training Epoch: 11 [2816/10284]	Loss: 0.4752	LR: 0.020000
Training Epoch: 11 [3072/10284]	Loss: 0.4841	LR: 0.020000
Training Epoch: 11 [3328/10284]	Loss: 0.4705	LR: 0.020000
Training Epoch: 11 [3584/10284]	Loss: 0.4741	LR: 0.020000
Training Epoch: 11 [3840/10284]	Loss: 0.4820	LR: 0.020000
Training Epoch: 11 [4096/10284]	Loss: 0.4931	LR: 0.020000
Training Epoch: 11 [4352/10284]	Loss: 0.4608	LR: 0.020000
Training Epoch: 11 [4608/10284]	Loss: 0.4770	LR: 0.020000
Training Epoch: 11 [4864/10284]	Loss: 0.4527	LR: 0.020000
Training Epoch: 11 [5120/10284]	Loss: 0.4677	LR: 0.020000
Training Epoch: 11 [5376/10284]	Loss: 0.4749	LR: 0.020000
Training Epoch: 11 [5632/10284]	Loss: 0.4535	LR: 0.020000
Training Epoch: 11 [5888/10284]	Loss: 0.4266	LR: 0.020000
Training Epoch: 11 [6144/10284]	Loss: 0.4966	LR: 0.020000
Training Epoch: 11 [6400/10284]	Loss: 0.4678	LR: 0.020000
Training Epoch: 11 [6656/10284]	Loss: 0.5057	LR: 0.020000
Training Epoch: 11 [6912/10284]	Loss: 0.4757	LR: 0.020000
Training Epoch: 11 [7168/10284]	Loss: 0.3992	LR: 0.020000
Training Epoch: 11 [7424/10284]	Loss: 0.4584	LR: 0.020000
Training Epoch: 11 [7680/10284]	Loss: 0.4228	LR: 0.020000
Training Epoch: 11 [7936/10284]	Loss: 0.4605	LR: 0.020000
Training Epoch: 11 [8192/10284]	Loss: 0.4610	LR: 0.020000
Training Epoch: 11 [8448/10284]	Loss: 0.4808	LR: 0.020000
Training Epoch: 11 [8704/10284]	Loss: 0.4383	LR: 0.020000
Training Epoch: 11 [8960/10284]	Loss: 0.4997	LR: 0.020000
Training Epoch: 11 [9216/10284]	Loss: 0.4195	LR: 0.020000
Training Epoch: 11 [9472/10284]	Loss: 0.4115	LR: 0.020000
Training Epoch: 11 [9728/10284]	Loss: 0.4846	LR: 0.020000
Training Epoch: 11 [9984/10284]	Loss: 0.4370	LR: 0.020000
Training Epoch: 11 [10240/10284]	Loss: 0.4298	LR: 0.020000
Training Epoch: 11 [10284/10284]	Loss: 0.6272	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4654, Train Accuracy: 0.7830
Epoch 11 training time consumed: 149.42s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0019, Accuracy: 0.8160, Time consumed:8.06s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-11-best.pth
Training Epoch: 12 [256/10284]	Loss: 0.4202	LR: 0.020000
Training Epoch: 12 [512/10284]	Loss: 0.5222	LR: 0.020000
Training Epoch: 12 [768/10284]	Loss: 0.4221	LR: 0.020000
Training Epoch: 12 [1024/10284]	Loss: 0.4782	LR: 0.020000
Training Epoch: 12 [1280/10284]	Loss: 0.4840	LR: 0.020000
Training Epoch: 12 [1536/10284]	Loss: 0.4406	LR: 0.020000
Training Epoch: 12 [1792/10284]	Loss: 0.4612	LR: 0.020000
Training Epoch: 12 [2048/10284]	Loss: 0.4937	LR: 0.020000
Training Epoch: 12 [2304/10284]	Loss: 0.4212	LR: 0.020000
Training Epoch: 12 [2560/10284]	Loss: 0.4192	LR: 0.020000
Training Epoch: 12 [2816/10284]	Loss: 0.3875	LR: 0.020000
Training Epoch: 12 [3072/10284]	Loss: 0.4708	LR: 0.020000
Training Epoch: 12 [3328/10284]	Loss: 0.4655	LR: 0.020000
Training Epoch: 12 [3584/10284]	Loss: 0.4082	LR: 0.020000
Training Epoch: 12 [3840/10284]	Loss: 0.4742	LR: 0.020000
Training Epoch: 12 [4096/10284]	Loss: 0.3863	LR: 0.020000
Training Epoch: 12 [4352/10284]	Loss: 0.4168	LR: 0.020000
Training Epoch: 12 [4608/10284]	Loss: 0.4402	LR: 0.020000
Training Epoch: 12 [4864/10284]	Loss: 0.4610	LR: 0.020000
Training Epoch: 12 [5120/10284]	Loss: 0.4032	LR: 0.020000
Training Epoch: 12 [5376/10284]	Loss: 0.3824	LR: 0.020000
Training Epoch: 12 [5632/10284]	Loss: 0.4300	LR: 0.020000
Training Epoch: 12 [5888/10284]	Loss: 0.3778	LR: 0.020000
Training Epoch: 12 [6144/10284]	Loss: 0.4730	LR: 0.020000
Training Epoch: 12 [6400/10284]	Loss: 0.4170	LR: 0.020000
Training Epoch: 12 [6656/10284]	Loss: 0.4201	LR: 0.020000
Training Epoch: 12 [6912/10284]	Loss: 0.3764	LR: 0.020000
Training Epoch: 12 [7168/10284]	Loss: 0.4224	LR: 0.020000
Training Epoch: 12 [7424/10284]	Loss: 0.4072	LR: 0.020000
Training Epoch: 12 [7680/10284]	Loss: 0.4026	LR: 0.020000
Training Epoch: 12 [7936/10284]	Loss: 0.3931	LR: 0.020000
Training Epoch: 12 [8192/10284]	Loss: 0.3925	LR: 0.020000
Training Epoch: 12 [8448/10284]	Loss: 0.3860	LR: 0.020000
Training Epoch: 12 [8704/10284]	Loss: 0.4092	LR: 0.020000
Training Epoch: 12 [8960/10284]	Loss: 0.3807	LR: 0.020000
Training Epoch: 12 [9216/10284]	Loss: 0.4649	LR: 0.020000
Training Epoch: 12 [9472/10284]	Loss: 0.3611	LR: 0.020000
Training Epoch: 12 [9728/10284]	Loss: 0.3644	LR: 0.020000
Training Epoch: 12 [9984/10284]	Loss: 0.4428	LR: 0.020000
Training Epoch: 12 [10240/10284]	Loss: 0.3397	LR: 0.020000
Training Epoch: 12 [10284/10284]	Loss: 0.4466	LR: 0.020000
Epoch 12 - Average Train Loss: 0.4231, Train Accuracy: 0.8086
Epoch 12 training time consumed: 149.26s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0016, Accuracy: 0.8557, Time consumed:7.90s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-12-best.pth
Training Epoch: 13 [256/10284]	Loss: 0.3628	LR: 0.020000
Training Epoch: 13 [512/10284]	Loss: 0.4287	LR: 0.020000
Training Epoch: 13 [768/10284]	Loss: 0.4324	LR: 0.020000
Training Epoch: 13 [1024/10284]	Loss: 0.3974	LR: 0.020000
Training Epoch: 13 [1280/10284]	Loss: 0.4425	LR: 0.020000
Training Epoch: 13 [1536/10284]	Loss: 0.3469	LR: 0.020000
Training Epoch: 13 [1792/10284]	Loss: 0.4145	LR: 0.020000
Training Epoch: 13 [2048/10284]	Loss: 0.3774	LR: 0.020000
Training Epoch: 13 [2304/10284]	Loss: 0.4522	LR: 0.020000
Training Epoch: 13 [2560/10284]	Loss: 0.4182	LR: 0.020000
Training Epoch: 13 [2816/10284]	Loss: 0.4066	LR: 0.020000
Training Epoch: 13 [3072/10284]	Loss: 0.3790	LR: 0.020000
Training Epoch: 13 [3328/10284]	Loss: 0.4419	LR: 0.020000
Training Epoch: 13 [3584/10284]	Loss: 0.4040	LR: 0.020000
Training Epoch: 13 [3840/10284]	Loss: 0.3824	LR: 0.020000
Training Epoch: 13 [4096/10284]	Loss: 0.4095	LR: 0.020000
Training Epoch: 13 [4352/10284]	Loss: 0.3602	LR: 0.020000
Training Epoch: 13 [4608/10284]	Loss: 0.3958	LR: 0.020000
Training Epoch: 13 [4864/10284]	Loss: 0.4335	LR: 0.020000
Training Epoch: 13 [5120/10284]	Loss: 0.3626	LR: 0.020000
Training Epoch: 13 [5376/10284]	Loss: 0.3720	LR: 0.020000
Training Epoch: 13 [5632/10284]	Loss: 0.4492	LR: 0.020000
Training Epoch: 13 [5888/10284]	Loss: 0.4638	LR: 0.020000
Training Epoch: 13 [6144/10284]	Loss: 0.3713	LR: 0.020000
Training Epoch: 13 [6400/10284]	Loss: 0.3679	LR: 0.020000
Training Epoch: 13 [6656/10284]	Loss: 0.3260	LR: 0.020000
Training Epoch: 13 [6912/10284]	Loss: 0.3659	LR: 0.020000
Training Epoch: 13 [7168/10284]	Loss: 0.3767	LR: 0.020000
Training Epoch: 13 [7424/10284]	Loss: 0.3092	LR: 0.020000
Training Epoch: 13 [7680/10284]	Loss: 0.3508	LR: 0.020000
Training Epoch: 13 [7936/10284]	Loss: 0.3635	LR: 0.020000
Training Epoch: 13 [8192/10284]	Loss: 0.3547	LR: 0.020000
Training Epoch: 13 [8448/10284]	Loss: 0.3096	LR: 0.020000
Training Epoch: 13 [8704/10284]	Loss: 0.4164	LR: 0.020000
Training Epoch: 13 [8960/10284]	Loss: 0.3727	LR: 0.020000
Training Epoch: 13 [9216/10284]	Loss: 0.3603	LR: 0.020000
Training Epoch: 13 [9472/10284]	Loss: 0.3233	LR: 0.020000
Training Epoch: 13 [9728/10284]	Loss: 0.3465	LR: 0.020000
Training Epoch: 13 [9984/10284]	Loss: 0.4374	LR: 0.020000
Training Epoch: 13 [10240/10284]	Loss: 0.3609	LR: 0.020000
Training Epoch: 13 [10284/10284]	Loss: 0.3043	LR: 0.020000
Epoch 13 - Average Train Loss: 0.3858, Train Accuracy: 0.8265
Epoch 13 training time consumed: 148.88s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0021, Accuracy: 0.7816, Time consumed:8.05s
Training Epoch: 14 [256/10284]	Loss: 0.3034	LR: 0.020000
Training Epoch: 14 [512/10284]	Loss: 0.3929	LR: 0.020000
Training Epoch: 14 [768/10284]	Loss: 0.3211	LR: 0.020000
Training Epoch: 14 [1024/10284]	Loss: 0.3482	LR: 0.020000
Training Epoch: 14 [1280/10284]	Loss: 0.3474	LR: 0.020000
Training Epoch: 14 [1536/10284]	Loss: 0.3606	LR: 0.020000
Training Epoch: 14 [1792/10284]	Loss: 0.3077	LR: 0.020000
Training Epoch: 14 [2048/10284]	Loss: 0.3303	LR: 0.020000
Training Epoch: 14 [2304/10284]	Loss: 0.4107	LR: 0.020000
Training Epoch: 14 [2560/10284]	Loss: 0.3109	LR: 0.020000
Training Epoch: 14 [2816/10284]	Loss: 0.3358	LR: 0.020000
Training Epoch: 14 [3072/10284]	Loss: 0.3271	LR: 0.020000
Training Epoch: 14 [3328/10284]	Loss: 0.3085	LR: 0.020000
Training Epoch: 14 [3584/10284]	Loss: 0.2987	LR: 0.020000
Training Epoch: 14 [3840/10284]	Loss: 0.3666	LR: 0.020000
Training Epoch: 14 [4096/10284]	Loss: 0.3446	LR: 0.020000
Training Epoch: 14 [4352/10284]	Loss: 0.2849	LR: 0.020000
Training Epoch: 14 [4608/10284]	Loss: 0.3590	LR: 0.020000
Training Epoch: 14 [4864/10284]	Loss: 0.3093	LR: 0.020000
Training Epoch: 14 [5120/10284]	Loss: 0.3371	LR: 0.020000
Training Epoch: 14 [5376/10284]	Loss: 0.3169	LR: 0.020000
Training Epoch: 14 [5632/10284]	Loss: 0.2942	LR: 0.020000
Training Epoch: 14 [5888/10284]	Loss: 0.3053	LR: 0.020000
Training Epoch: 14 [6144/10284]	Loss: 0.3205	LR: 0.020000
Training Epoch: 14 [6400/10284]	Loss: 0.2738	LR: 0.020000
Training Epoch: 14 [6656/10284]	Loss: 0.3350	LR: 0.020000
Training Epoch: 14 [6912/10284]	Loss: 0.2718	LR: 0.020000
Training Epoch: 14 [7168/10284]	Loss: 0.2722	LR: 0.020000
Training Epoch: 14 [7424/10284]	Loss: 0.3096	LR: 0.020000
Training Epoch: 14 [7680/10284]	Loss: 0.3122	LR: 0.020000
Training Epoch: 14 [7936/10284]	Loss: 0.2393	LR: 0.020000
Training Epoch: 14 [8192/10284]	Loss: 0.3220	LR: 0.020000
Training Epoch: 14 [8448/10284]	Loss: 0.2456	LR: 0.020000
Training Epoch: 14 [8704/10284]	Loss: 0.3234	LR: 0.020000
Training Epoch: 14 [8960/10284]	Loss: 0.2936	LR: 0.020000
Training Epoch: 14 [9216/10284]	Loss: 0.2603	LR: 0.020000
Training Epoch: 14 [9472/10284]	Loss: 0.3975	LR: 0.020000
Training Epoch: 14 [9728/10284]	Loss: 0.3161	LR: 0.020000
Training Epoch: 14 [9984/10284]	Loss: 0.3454	LR: 0.020000
Training Epoch: 14 [10240/10284]	Loss: 0.2520	LR: 0.020000
Training Epoch: 14 [10284/10284]	Loss: 0.3064	LR: 0.020000
Epoch 14 - Average Train Loss: 0.3177, Train Accuracy: 0.8638
Epoch 14 training time consumed: 148.84s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0023, Accuracy: 0.7370, Time consumed:8.15s
Training Epoch: 15 [256/10284]	Loss: 0.3611	LR: 0.020000
Training Epoch: 15 [512/10284]	Loss: 0.3543	LR: 0.020000
Training Epoch: 15 [768/10284]	Loss: 0.2806	LR: 0.020000
Training Epoch: 15 [1024/10284]	Loss: 0.2875	LR: 0.020000
Training Epoch: 15 [1280/10284]	Loss: 0.2759	LR: 0.020000
Training Epoch: 15 [1536/10284]	Loss: 0.3688	LR: 0.020000
Training Epoch: 15 [1792/10284]	Loss: 0.3070	LR: 0.020000
Training Epoch: 15 [2048/10284]	Loss: 0.3298	LR: 0.020000
Training Epoch: 15 [2304/10284]	Loss: 0.3131	LR: 0.020000
Training Epoch: 15 [2560/10284]	Loss: 0.3177	LR: 0.020000
Training Epoch: 15 [2816/10284]	Loss: 0.3371	LR: 0.020000
Training Epoch: 15 [3072/10284]	Loss: 0.2097	LR: 0.020000
Training Epoch: 15 [3328/10284]	Loss: 0.3163	LR: 0.020000
Training Epoch: 15 [3584/10284]	Loss: 0.3040	LR: 0.020000
Training Epoch: 15 [3840/10284]	Loss: 0.2426	LR: 0.020000
Training Epoch: 15 [4096/10284]	Loss: 0.3061	LR: 0.020000
Training Epoch: 15 [4352/10284]	Loss: 0.3578	LR: 0.020000
Training Epoch: 15 [4608/10284]	Loss: 0.2889	LR: 0.020000
Training Epoch: 15 [4864/10284]	Loss: 0.2711	LR: 0.020000
Training Epoch: 15 [5120/10284]	Loss: 0.2901	LR: 0.020000
Training Epoch: 15 [5376/10284]	Loss: 0.2876	LR: 0.020000
Training Epoch: 15 [5632/10284]	Loss: 0.3151	LR: 0.020000
Training Epoch: 15 [5888/10284]	Loss: 0.3065	LR: 0.020000
Training Epoch: 15 [6144/10284]	Loss: 0.2794	LR: 0.020000
Training Epoch: 15 [6400/10284]	Loss: 0.3709	LR: 0.020000
Training Epoch: 15 [6656/10284]	Loss: 0.2339	LR: 0.020000
Training Epoch: 15 [6912/10284]	Loss: 0.3060	LR: 0.020000
Training Epoch: 15 [7168/10284]	Loss: 0.3019	LR: 0.020000
Training Epoch: 15 [7424/10284]	Loss: 0.2950	LR: 0.020000
Training Epoch: 15 [7680/10284]	Loss: 0.3545	LR: 0.020000
Training Epoch: 15 [7936/10284]	Loss: 0.3241	LR: 0.020000
Training Epoch: 15 [8192/10284]	Loss: 0.2683	LR: 0.020000
Training Epoch: 15 [8448/10284]	Loss: 0.2781	LR: 0.020000
Training Epoch: 15 [8704/10284]	Loss: 0.2826	LR: 0.020000
Training Epoch: 15 [8960/10284]	Loss: 0.2788	LR: 0.020000
Training Epoch: 15 [9216/10284]	Loss: 0.2140	LR: 0.020000
Training Epoch: 15 [9472/10284]	Loss: 0.3303	LR: 0.020000
Training Epoch: 15 [9728/10284]	Loss: 0.2380	LR: 0.020000
Training Epoch: 15 [9984/10284]	Loss: 0.2693	LR: 0.020000
Training Epoch: 15 [10240/10284]	Loss: 0.3043	LR: 0.020000
Training Epoch: 15 [10284/10284]	Loss: 0.3507	LR: 0.020000
Epoch 15 - Average Train Loss: 0.2992, Train Accuracy: 0.8748
Epoch 15 training time consumed: 149.35s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0022, Accuracy: 0.7850, Time consumed:8.17s
Training Epoch: 16 [256/10284]	Loss: 0.2474	LR: 0.020000
Training Epoch: 16 [512/10284]	Loss: 0.3199	LR: 0.020000
Training Epoch: 16 [768/10284]	Loss: 0.2568	LR: 0.020000
Training Epoch: 16 [1024/10284]	Loss: 0.3207	LR: 0.020000
Training Epoch: 16 [1280/10284]	Loss: 0.2523	LR: 0.020000
Training Epoch: 16 [1536/10284]	Loss: 0.3023	LR: 0.020000
Training Epoch: 16 [1792/10284]	Loss: 0.2754	LR: 0.020000
Training Epoch: 16 [2048/10284]	Loss: 0.2345	LR: 0.020000
Training Epoch: 16 [2304/10284]	Loss: 0.2655	LR: 0.020000
Training Epoch: 16 [2560/10284]	Loss: 0.2496	LR: 0.020000
Training Epoch: 16 [2816/10284]	Loss: 0.2666	LR: 0.020000
Training Epoch: 16 [3072/10284]	Loss: 0.2413	LR: 0.020000
Training Epoch: 16 [3328/10284]	Loss: 0.2106	LR: 0.020000
Training Epoch: 16 [3584/10284]	Loss: 0.2292	LR: 0.020000
Training Epoch: 16 [3840/10284]	Loss: 0.2374	LR: 0.020000
Training Epoch: 16 [4096/10284]	Loss: 0.2513	LR: 0.020000
Training Epoch: 16 [4352/10284]	Loss: 0.1849	LR: 0.020000
Training Epoch: 16 [4608/10284]	Loss: 0.2168	LR: 0.020000
Training Epoch: 16 [4864/10284]	Loss: 0.3228	LR: 0.020000
Training Epoch: 16 [5120/10284]	Loss: 0.2192	LR: 0.020000
Training Epoch: 16 [5376/10284]	Loss: 0.2437	LR: 0.020000
Training Epoch: 16 [5632/10284]	Loss: 0.2296	LR: 0.020000
Training Epoch: 16 [5888/10284]	Loss: 0.2848	LR: 0.020000
Training Epoch: 16 [6144/10284]	Loss: 0.2296	LR: 0.020000
Training Epoch: 16 [6400/10284]	Loss: 0.2838	LR: 0.020000
Training Epoch: 16 [6656/10284]	Loss: 0.2257	LR: 0.020000
Training Epoch: 16 [6912/10284]	Loss: 0.2975	LR: 0.020000
Training Epoch: 16 [7168/10284]	Loss: 0.2748	LR: 0.020000
Training Epoch: 16 [7424/10284]	Loss: 0.3009	LR: 0.020000
Training Epoch: 16 [7680/10284]	Loss: 0.2601	LR: 0.020000
Training Epoch: 16 [7936/10284]	Loss: 0.2803	LR: 0.020000
Training Epoch: 16 [8192/10284]	Loss: 0.2643	LR: 0.020000
Training Epoch: 16 [8448/10284]	Loss: 0.1821	LR: 0.020000
Training Epoch: 16 [8704/10284]	Loss: 0.3546	LR: 0.020000
Training Epoch: 16 [8960/10284]	Loss: 0.3297	LR: 0.020000
Training Epoch: 16 [9216/10284]	Loss: 0.2614	LR: 0.020000
Training Epoch: 16 [9472/10284]	Loss: 0.3863	LR: 0.020000
Training Epoch: 16 [9728/10284]	Loss: 0.2517	LR: 0.020000
Training Epoch: 16 [9984/10284]	Loss: 0.2172	LR: 0.020000
Training Epoch: 16 [10240/10284]	Loss: 0.2175	LR: 0.020000
Training Epoch: 16 [10284/10284]	Loss: 0.2876	LR: 0.020000
Epoch 16 - Average Train Loss: 0.2621, Train Accuracy: 0.8891
Epoch 16 training time consumed: 149.93s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0010, Accuracy: 0.9002, Time consumed:8.40s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-16-best.pth
Training Epoch: 17 [256/10284]	Loss: 0.2458	LR: 0.020000
Training Epoch: 17 [512/10284]	Loss: 0.2842	LR: 0.020000
Training Epoch: 17 [768/10284]	Loss: 0.2364	LR: 0.020000
Training Epoch: 17 [1024/10284]	Loss: 0.2465	LR: 0.020000
Training Epoch: 17 [1280/10284]	Loss: 0.2759	LR: 0.020000
Training Epoch: 17 [1536/10284]	Loss: 0.2559	LR: 0.020000
Training Epoch: 17 [1792/10284]	Loss: 0.2343	LR: 0.020000
Training Epoch: 17 [2048/10284]	Loss: 0.2338	LR: 0.020000
Training Epoch: 17 [2304/10284]	Loss: 0.2120	LR: 0.020000
Training Epoch: 17 [2560/10284]	Loss: 0.2555	LR: 0.020000
Training Epoch: 17 [2816/10284]	Loss: 0.2585	LR: 0.020000
Training Epoch: 17 [3072/10284]	Loss: 0.2453	LR: 0.020000
Training Epoch: 17 [3328/10284]	Loss: 0.2273	LR: 0.020000
Training Epoch: 17 [3584/10284]	Loss: 0.2601	LR: 0.020000
Training Epoch: 17 [3840/10284]	Loss: 0.2057	LR: 0.020000
Training Epoch: 17 [4096/10284]	Loss: 0.2097	LR: 0.020000
Training Epoch: 17 [4352/10284]	Loss: 0.2528	LR: 0.020000
Training Epoch: 17 [4608/10284]	Loss: 0.2539	LR: 0.020000
Training Epoch: 17 [4864/10284]	Loss: 0.2097	LR: 0.020000
Training Epoch: 17 [5120/10284]	Loss: 0.2612	LR: 0.020000
Training Epoch: 17 [5376/10284]	Loss: 0.1589	LR: 0.020000
Training Epoch: 17 [5632/10284]	Loss: 0.1949	LR: 0.020000
Training Epoch: 17 [5888/10284]	Loss: 0.2404	LR: 0.020000
Training Epoch: 17 [6144/10284]	Loss: 0.2837	LR: 0.020000
Training Epoch: 17 [6400/10284]	Loss: 0.2457	LR: 0.020000
Training Epoch: 17 [6656/10284]	Loss: 0.2140	LR: 0.020000
Training Epoch: 17 [6912/10284]	Loss: 0.2717	LR: 0.020000
Training Epoch: 17 [7168/10284]	Loss: 0.1998	LR: 0.020000
Training Epoch: 17 [7424/10284]	Loss: 0.2343	LR: 0.020000
Training Epoch: 17 [7680/10284]	Loss: 0.2507	LR: 0.020000
Training Epoch: 17 [7936/10284]	Loss: 0.2117	LR: 0.020000
Training Epoch: 17 [8192/10284]	Loss: 0.2049	LR: 0.020000
Training Epoch: 17 [8448/10284]	Loss: 0.2654	LR: 0.020000
Training Epoch: 17 [8704/10284]	Loss: 0.2526	LR: 0.020000
Training Epoch: 17 [8960/10284]	Loss: 0.2255	LR: 0.020000
Training Epoch: 17 [9216/10284]	Loss: 0.2575	LR: 0.020000
Training Epoch: 17 [9472/10284]	Loss: 0.3181	LR: 0.020000
Training Epoch: 17 [9728/10284]	Loss: 0.2985	LR: 0.020000
Training Epoch: 17 [9984/10284]	Loss: 0.2687	LR: 0.020000
Training Epoch: 17 [10240/10284]	Loss: 0.1526	LR: 0.020000
Training Epoch: 17 [10284/10284]	Loss: 0.4146	LR: 0.020000
Epoch 17 - Average Train Loss: 0.2411, Train Accuracy: 0.9003
Epoch 17 training time consumed: 151.03s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0049, Accuracy: 0.5671, Time consumed:8.30s
Training Epoch: 18 [256/10284]	Loss: 0.2286	LR: 0.020000
Training Epoch: 18 [512/10284]	Loss: 0.2038	LR: 0.020000
Training Epoch: 18 [768/10284]	Loss: 0.2329	LR: 0.020000
Training Epoch: 18 [1024/10284]	Loss: 0.2269	LR: 0.020000
Training Epoch: 18 [1280/10284]	Loss: 0.2478	LR: 0.020000
Training Epoch: 18 [1536/10284]	Loss: 0.2449	LR: 0.020000
Training Epoch: 18 [1792/10284]	Loss: 0.2803	LR: 0.020000
Training Epoch: 18 [2048/10284]	Loss: 0.2552	LR: 0.020000
Training Epoch: 18 [2304/10284]	Loss: 0.2628	LR: 0.020000
Training Epoch: 18 [2560/10284]	Loss: 0.2421	LR: 0.020000
Training Epoch: 18 [2816/10284]	Loss: 0.2100	LR: 0.020000
Training Epoch: 18 [3072/10284]	Loss: 0.3102	LR: 0.020000
Training Epoch: 18 [3328/10284]	Loss: 0.2035	LR: 0.020000
Training Epoch: 18 [3584/10284]	Loss: 0.1980	LR: 0.020000
Training Epoch: 18 [3840/10284]	Loss: 0.2619	LR: 0.020000
Training Epoch: 18 [4096/10284]	Loss: 0.2279	LR: 0.020000
Training Epoch: 18 [4352/10284]	Loss: 0.2577	LR: 0.020000
Training Epoch: 18 [4608/10284]	Loss: 0.2424	LR: 0.020000
Training Epoch: 18 [4864/10284]	Loss: 0.2040	LR: 0.020000
Training Epoch: 18 [5120/10284]	Loss: 0.1923	LR: 0.020000
Training Epoch: 18 [5376/10284]	Loss: 0.2188	LR: 0.020000
Training Epoch: 18 [5632/10284]	Loss: 0.2204	LR: 0.020000
Training Epoch: 18 [5888/10284]	Loss: 0.2260	LR: 0.020000
Training Epoch: 18 [6144/10284]	Loss: 0.2244	LR: 0.020000
Training Epoch: 18 [6400/10284]	Loss: 0.1983	LR: 0.020000
Training Epoch: 18 [6656/10284]	Loss: 0.2680	LR: 0.020000
Training Epoch: 18 [6912/10284]	Loss: 0.2112	LR: 0.020000
Training Epoch: 18 [7168/10284]	Loss: 0.2155	LR: 0.020000
Training Epoch: 18 [7424/10284]	Loss: 0.2485	LR: 0.020000
Training Epoch: 18 [7680/10284]	Loss: 0.3139	LR: 0.020000
Training Epoch: 18 [7936/10284]	Loss: 0.1823	LR: 0.020000
Training Epoch: 18 [8192/10284]	Loss: 0.1939	LR: 0.020000
Training Epoch: 18 [8448/10284]	Loss: 0.1721	LR: 0.020000
Training Epoch: 18 [8704/10284]	Loss: 0.1878	LR: 0.020000
Training Epoch: 18 [8960/10284]	Loss: 0.1984	LR: 0.020000
Training Epoch: 18 [9216/10284]	Loss: 0.2218	LR: 0.020000
Training Epoch: 18 [9472/10284]	Loss: 0.2272	LR: 0.020000
Training Epoch: 18 [9728/10284]	Loss: 0.1927	LR: 0.020000
Training Epoch: 18 [9984/10284]	Loss: 0.1945	LR: 0.020000
Training Epoch: 18 [10240/10284]	Loss: 0.2389	LR: 0.020000
Training Epoch: 18 [10284/10284]	Loss: 0.2097	LR: 0.020000
Epoch 18 - Average Train Loss: 0.2271, Train Accuracy: 0.9035
Epoch 18 training time consumed: 150.66s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0009, Accuracy: 0.9245, Time consumed:8.11s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-18-best.pth
Training Epoch: 19 [256/10284]	Loss: 0.1887	LR: 0.020000
Training Epoch: 19 [512/10284]	Loss: 0.2362	LR: 0.020000
Training Epoch: 19 [768/10284]	Loss: 0.2252	LR: 0.020000
Training Epoch: 19 [1024/10284]	Loss: 0.2446	LR: 0.020000
Training Epoch: 19 [1280/10284]	Loss: 0.1722	LR: 0.020000
Training Epoch: 19 [1536/10284]	Loss: 0.2241	LR: 0.020000
Training Epoch: 19 [1792/10284]	Loss: 0.1796	LR: 0.020000
Training Epoch: 19 [2048/10284]	Loss: 0.1973	LR: 0.020000
Training Epoch: 19 [2304/10284]	Loss: 0.2369	LR: 0.020000
Training Epoch: 19 [2560/10284]	Loss: 0.1953	LR: 0.020000
Training Epoch: 19 [2816/10284]	Loss: 0.2524	LR: 0.020000
Training Epoch: 19 [3072/10284]	Loss: 0.2391	LR: 0.020000
Training Epoch: 19 [3328/10284]	Loss: 0.2065	LR: 0.020000
Training Epoch: 19 [3584/10284]	Loss: 0.2080	LR: 0.020000
Training Epoch: 19 [3840/10284]	Loss: 0.1953	LR: 0.020000
Training Epoch: 19 [4096/10284]	Loss: 0.1485	LR: 0.020000
Training Epoch: 19 [4352/10284]	Loss: 0.1706	LR: 0.020000
Training Epoch: 19 [4608/10284]	Loss: 0.1785	LR: 0.020000
Training Epoch: 19 [4864/10284]	Loss: 0.2147	LR: 0.020000
Training Epoch: 19 [5120/10284]	Loss: 0.2153	LR: 0.020000
Training Epoch: 19 [5376/10284]	Loss: 0.1759	LR: 0.020000
Training Epoch: 19 [5632/10284]	Loss: 0.1895	LR: 0.020000
Training Epoch: 19 [5888/10284]	Loss: 0.1698	LR: 0.020000
Training Epoch: 19 [6144/10284]	Loss: 0.2420	LR: 0.020000
Training Epoch: 19 [6400/10284]	Loss: 0.2132	LR: 0.020000
Training Epoch: 19 [6656/10284]	Loss: 0.1620	LR: 0.020000
Training Epoch: 19 [6912/10284]	Loss: 0.1985	LR: 0.020000
Training Epoch: 19 [7168/10284]	Loss: 0.2174	LR: 0.020000
Training Epoch: 19 [7424/10284]	Loss: 0.1412	LR: 0.020000
Training Epoch: 19 [7680/10284]	Loss: 0.1937	LR: 0.020000
Training Epoch: 19 [7936/10284]	Loss: 0.1719	LR: 0.020000
Training Epoch: 19 [8192/10284]	Loss: 0.2162	LR: 0.020000
Training Epoch: 19 [8448/10284]	Loss: 0.1928	LR: 0.020000
Training Epoch: 19 [8704/10284]	Loss: 0.1749	LR: 0.020000
Training Epoch: 19 [8960/10284]	Loss: 0.1740	LR: 0.020000
Training Epoch: 19 [9216/10284]	Loss: 0.1876	LR: 0.020000
Training Epoch: 19 [9472/10284]	Loss: 0.2176	LR: 0.020000
Training Epoch: 19 [9728/10284]	Loss: 0.1617	LR: 0.020000
Training Epoch: 19 [9984/10284]	Loss: 0.2491	LR: 0.020000
Training Epoch: 19 [10240/10284]	Loss: 0.1607	LR: 0.020000
Training Epoch: 19 [10284/10284]	Loss: 0.4120	LR: 0.020000
Epoch 19 - Average Train Loss: 0.1994, Train Accuracy: 0.9185
Epoch 19 training time consumed: 151.42s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0033, Accuracy: 0.6780, Time consumed:8.05s
Training Epoch: 20 [256/10284]	Loss: 0.2226	LR: 0.004000
Training Epoch: 20 [512/10284]	Loss: 0.2087	LR: 0.004000
Training Epoch: 20 [768/10284]	Loss: 0.2168	LR: 0.004000
Training Epoch: 20 [1024/10284]	Loss: 0.2203	LR: 0.004000
Training Epoch: 20 [1280/10284]	Loss: 0.2754	LR: 0.004000
Training Epoch: 20 [1536/10284]	Loss: 0.2004	LR: 0.004000
Training Epoch: 20 [1792/10284]	Loss: 0.1938	LR: 0.004000
Training Epoch: 20 [2048/10284]	Loss: 0.2028	LR: 0.004000
Training Epoch: 20 [2304/10284]	Loss: 0.2042	LR: 0.004000
Training Epoch: 20 [2560/10284]	Loss: 0.1927	LR: 0.004000
Training Epoch: 20 [2816/10284]	Loss: 0.1319	LR: 0.004000
Training Epoch: 20 [3072/10284]	Loss: 0.2404	LR: 0.004000
Training Epoch: 20 [3328/10284]	Loss: 0.1574	LR: 0.004000
Training Epoch: 20 [3584/10284]	Loss: 0.2107	LR: 0.004000
Training Epoch: 20 [3840/10284]	Loss: 0.1497	LR: 0.004000
Training Epoch: 20 [4096/10284]	Loss: 0.2063	LR: 0.004000
Training Epoch: 20 [4352/10284]	Loss: 0.2407	LR: 0.004000
Training Epoch: 20 [4608/10284]	Loss: 0.1940	LR: 0.004000
Training Epoch: 20 [4864/10284]	Loss: 0.1789	LR: 0.004000
Training Epoch: 20 [5120/10284]	Loss: 0.1704	LR: 0.004000
Training Epoch: 20 [5376/10284]	Loss: 0.1942	LR: 0.004000
Training Epoch: 20 [5632/10284]	Loss: 0.1428	LR: 0.004000
Training Epoch: 20 [5888/10284]	Loss: 0.1941	LR: 0.004000
Training Epoch: 20 [6144/10284]	Loss: 0.1475	LR: 0.004000
Training Epoch: 20 [6400/10284]	Loss: 0.1992	LR: 0.004000
Training Epoch: 20 [6656/10284]	Loss: 0.1491	LR: 0.004000
Training Epoch: 20 [6912/10284]	Loss: 0.1906	LR: 0.004000
Training Epoch: 20 [7168/10284]	Loss: 0.1798	LR: 0.004000
Training Epoch: 20 [7424/10284]	Loss: 0.1523	LR: 0.004000
Training Epoch: 20 [7680/10284]	Loss: 0.1568	LR: 0.004000
Training Epoch: 20 [7936/10284]	Loss: 0.1489	LR: 0.004000
Training Epoch: 20 [8192/10284]	Loss: 0.1883	LR: 0.004000
Training Epoch: 20 [8448/10284]	Loss: 0.1617	LR: 0.004000
Training Epoch: 20 [8704/10284]	Loss: 0.2232	LR: 0.004000
Training Epoch: 20 [8960/10284]	Loss: 0.1743	LR: 0.004000
Training Epoch: 20 [9216/10284]	Loss: 0.1549	LR: 0.004000
Training Epoch: 20 [9472/10284]	Loss: 0.1688	LR: 0.004000
Training Epoch: 20 [9728/10284]	Loss: 0.1650	LR: 0.004000
Training Epoch: 20 [9984/10284]	Loss: 0.1790	LR: 0.004000
Training Epoch: 20 [10240/10284]	Loss: 0.1217	LR: 0.004000
Training Epoch: 20 [10284/10284]	Loss: 0.0909	LR: 0.004000
Epoch 20 - Average Train Loss: 0.1848, Train Accuracy: 0.9231
Epoch 20 training time consumed: 156.40s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0009, Accuracy: 0.9206, Time consumed:8.17s
Training Epoch: 21 [256/10284]	Loss: 0.1391	LR: 0.004000
Training Epoch: 21 [512/10284]	Loss: 0.1742	LR: 0.004000
Training Epoch: 21 [768/10284]	Loss: 0.1844	LR: 0.004000
Training Epoch: 21 [1024/10284]	Loss: 0.1784	LR: 0.004000
Training Epoch: 21 [1280/10284]	Loss: 0.1894	LR: 0.004000
Training Epoch: 21 [1536/10284]	Loss: 0.1385	LR: 0.004000
Training Epoch: 21 [1792/10284]	Loss: 0.1988	LR: 0.004000
Training Epoch: 21 [2048/10284]	Loss: 0.1346	LR: 0.004000
Training Epoch: 21 [2304/10284]	Loss: 0.1144	LR: 0.004000
Training Epoch: 21 [2560/10284]	Loss: 0.1620	LR: 0.004000
Training Epoch: 21 [2816/10284]	Loss: 0.2183	LR: 0.004000
Training Epoch: 21 [3072/10284]	Loss: 0.1468	LR: 0.004000
Training Epoch: 21 [3328/10284]	Loss: 0.2082	LR: 0.004000
Training Epoch: 21 [3584/10284]	Loss: 0.1573	LR: 0.004000
Training Epoch: 21 [3840/10284]	Loss: 0.1872	LR: 0.004000
Training Epoch: 21 [4096/10284]	Loss: 0.1379	LR: 0.004000
Training Epoch: 21 [4352/10284]	Loss: 0.2011	LR: 0.004000
Training Epoch: 21 [4608/10284]	Loss: 0.1056	LR: 0.004000
Training Epoch: 21 [4864/10284]	Loss: 0.1359	LR: 0.004000
Training Epoch: 21 [5120/10284]	Loss: 0.1804	LR: 0.004000
Training Epoch: 21 [5376/10284]	Loss: 0.1264	LR: 0.004000
Training Epoch: 21 [5632/10284]	Loss: 0.1451	LR: 0.004000
Training Epoch: 21 [5888/10284]	Loss: 0.1606	LR: 0.004000
Training Epoch: 21 [6144/10284]	Loss: 0.1963	LR: 0.004000
Training Epoch: 21 [6400/10284]	Loss: 0.1980	LR: 0.004000
Training Epoch: 21 [6656/10284]	Loss: 0.0899	LR: 0.004000
Training Epoch: 21 [6912/10284]	Loss: 0.2146	LR: 0.004000
Training Epoch: 21 [7168/10284]	Loss: 0.1578	LR: 0.004000
Training Epoch: 21 [7424/10284]	Loss: 0.1510	LR: 0.004000
Training Epoch: 21 [7680/10284]	Loss: 0.1342	LR: 0.004000
Training Epoch: 21 [7936/10284]	Loss: 0.1870	LR: 0.004000
Training Epoch: 21 [8192/10284]	Loss: 0.1635	LR: 0.004000
Training Epoch: 21 [8448/10284]	Loss: 0.1890	LR: 0.004000
Training Epoch: 21 [8704/10284]	Loss: 0.2000	LR: 0.004000
Training Epoch: 21 [8960/10284]	Loss: 0.1441	LR: 0.004000
Training Epoch: 21 [9216/10284]	Loss: 0.1643	LR: 0.004000
Training Epoch: 21 [9472/10284]	Loss: 0.1649	LR: 0.004000
Training Epoch: 21 [9728/10284]	Loss: 0.1852	LR: 0.004000
Training Epoch: 21 [9984/10284]	Loss: 0.1640	LR: 0.004000
Training Epoch: 21 [10240/10284]	Loss: 0.1424	LR: 0.004000
Training Epoch: 21 [10284/10284]	Loss: 0.2205	LR: 0.004000
Epoch 21 - Average Train Loss: 0.1645, Train Accuracy: 0.9339
Epoch 21 training time consumed: 149.07s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0006, Accuracy: 0.9419, Time consumed:8.21s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-21-best.pth
Training Epoch: 22 [256/10284]	Loss: 0.1867	LR: 0.004000
Training Epoch: 22 [512/10284]	Loss: 0.1258	LR: 0.004000
Training Epoch: 22 [768/10284]	Loss: 0.1883	LR: 0.004000
Training Epoch: 22 [1024/10284]	Loss: 0.2042	LR: 0.004000
Training Epoch: 22 [1280/10284]	Loss: 0.1806	LR: 0.004000
Training Epoch: 22 [1536/10284]	Loss: 0.2059	LR: 0.004000
Training Epoch: 22 [1792/10284]	Loss: 0.1768	LR: 0.004000
Training Epoch: 22 [2048/10284]	Loss: 0.1797	LR: 0.004000
Training Epoch: 22 [2304/10284]	Loss: 0.1903	LR: 0.004000
Training Epoch: 22 [2560/10284]	Loss: 0.1816	LR: 0.004000
Training Epoch: 22 [2816/10284]	Loss: 0.1860	LR: 0.004000
Training Epoch: 22 [3072/10284]	Loss: 0.1247	LR: 0.004000
Training Epoch: 22 [3328/10284]	Loss: 0.1859	LR: 0.004000
Training Epoch: 22 [3584/10284]	Loss: 0.1602	LR: 0.004000
Training Epoch: 22 [3840/10284]	Loss: 0.1654	LR: 0.004000
Training Epoch: 22 [4096/10284]	Loss: 0.1462	LR: 0.004000
Training Epoch: 22 [4352/10284]	Loss: 0.1487	LR: 0.004000
Training Epoch: 22 [4608/10284]	Loss: 0.1157	LR: 0.004000
Training Epoch: 22 [4864/10284]	Loss: 0.1291	LR: 0.004000
Training Epoch: 22 [5120/10284]	Loss: 0.1291	LR: 0.004000
Training Epoch: 22 [5376/10284]	Loss: 0.1458	LR: 0.004000
Training Epoch: 22 [5632/10284]	Loss: 0.1546	LR: 0.004000
Training Epoch: 22 [5888/10284]	Loss: 0.1710	LR: 0.004000
Training Epoch: 22 [6144/10284]	Loss: 0.1366	LR: 0.004000
Training Epoch: 22 [6400/10284]	Loss: 0.1899	LR: 0.004000
Training Epoch: 22 [6656/10284]	Loss: 0.1181	LR: 0.004000
Training Epoch: 22 [6912/10284]	Loss: 0.1586	LR: 0.004000
Training Epoch: 22 [7168/10284]	Loss: 0.1699	LR: 0.004000
Training Epoch: 22 [7424/10284]	Loss: 0.1717	LR: 0.004000
Training Epoch: 22 [7680/10284]	Loss: 0.1586	LR: 0.004000
Training Epoch: 22 [7936/10284]	Loss: 0.1470	LR: 0.004000
Training Epoch: 22 [8192/10284]	Loss: 0.1625	LR: 0.004000
Training Epoch: 22 [8448/10284]	Loss: 0.2110	LR: 0.004000
Training Epoch: 22 [8704/10284]	Loss: 0.1855	LR: 0.004000
Training Epoch: 22 [8960/10284]	Loss: 0.1491	LR: 0.004000
Training Epoch: 22 [9216/10284]	Loss: 0.2323	LR: 0.004000
Training Epoch: 22 [9472/10284]	Loss: 0.1554	LR: 0.004000
Training Epoch: 22 [9728/10284]	Loss: 0.1602	LR: 0.004000
Training Epoch: 22 [9984/10284]	Loss: 0.1400	LR: 0.004000
Training Epoch: 22 [10240/10284]	Loss: 0.2067	LR: 0.004000
Training Epoch: 22 [10284/10284]	Loss: 0.1557	LR: 0.004000
Epoch 22 - Average Train Loss: 0.1658, Train Accuracy: 0.9306
Epoch 22 training time consumed: 149.22s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0008, Accuracy: 0.9327, Time consumed:8.10s
Training Epoch: 23 [256/10284]	Loss: 0.1524	LR: 0.004000
Training Epoch: 23 [512/10284]	Loss: 0.1742	LR: 0.004000
Training Epoch: 23 [768/10284]	Loss: 0.1512	LR: 0.004000
Training Epoch: 23 [1024/10284]	Loss: 0.1379	LR: 0.004000
Training Epoch: 23 [1280/10284]	Loss: 0.1834	LR: 0.004000
Training Epoch: 23 [1536/10284]	Loss: 0.1454	LR: 0.004000
Training Epoch: 23 [1792/10284]	Loss: 0.1909	LR: 0.004000
Training Epoch: 23 [2048/10284]	Loss: 0.1662	LR: 0.004000
Training Epoch: 23 [2304/10284]	Loss: 0.1571	LR: 0.004000
Training Epoch: 23 [2560/10284]	Loss: 0.1234	LR: 0.004000
Training Epoch: 23 [2816/10284]	Loss: 0.1506	LR: 0.004000
Training Epoch: 23 [3072/10284]	Loss: 0.1768	LR: 0.004000
Training Epoch: 23 [3328/10284]	Loss: 0.1360	LR: 0.004000
Training Epoch: 23 [3584/10284]	Loss: 0.1288	LR: 0.004000
Training Epoch: 23 [3840/10284]	Loss: 0.1437	LR: 0.004000
Training Epoch: 23 [4096/10284]	Loss: 0.1468	LR: 0.004000
Training Epoch: 23 [4352/10284]	Loss: 0.1984	LR: 0.004000
Training Epoch: 23 [4608/10284]	Loss: 0.1625	LR: 0.004000
Training Epoch: 23 [4864/10284]	Loss: 0.1470	LR: 0.004000
Training Epoch: 23 [5120/10284]	Loss: 0.2257	LR: 0.004000
Training Epoch: 23 [5376/10284]	Loss: 0.1059	LR: 0.004000
Training Epoch: 23 [5632/10284]	Loss: 0.1387	LR: 0.004000
Training Epoch: 23 [5888/10284]	Loss: 0.1902	LR: 0.004000
Training Epoch: 23 [6144/10284]	Loss: 0.2162	LR: 0.004000
Training Epoch: 23 [6400/10284]	Loss: 0.1249	LR: 0.004000
Training Epoch: 23 [6656/10284]	Loss: 0.1563	LR: 0.004000
Training Epoch: 23 [6912/10284]	Loss: 0.1466	LR: 0.004000
Training Epoch: 23 [7168/10284]	Loss: 0.1908	LR: 0.004000
Training Epoch: 23 [7424/10284]	Loss: 0.1329	LR: 0.004000
Training Epoch: 23 [7680/10284]	Loss: 0.1401	LR: 0.004000
Training Epoch: 23 [7936/10284]	Loss: 0.1774	LR: 0.004000
Training Epoch: 23 [8192/10284]	Loss: 0.1489	LR: 0.004000
Training Epoch: 23 [8448/10284]	Loss: 0.2058	LR: 0.004000
Training Epoch: 23 [8704/10284]	Loss: 0.1174	LR: 0.004000
Training Epoch: 23 [8960/10284]	Loss: 0.1769	LR: 0.004000
Training Epoch: 23 [9216/10284]	Loss: 0.1497	LR: 0.004000
Training Epoch: 23 [9472/10284]	Loss: 0.1422	LR: 0.004000
Training Epoch: 23 [9728/10284]	Loss: 0.1491	LR: 0.004000
Training Epoch: 23 [9984/10284]	Loss: 0.1558	LR: 0.004000
Training Epoch: 23 [10240/10284]	Loss: 0.1165	LR: 0.004000
Training Epoch: 23 [10284/10284]	Loss: 0.2615	LR: 0.004000
Epoch 23 - Average Train Loss: 0.1575, Train Accuracy: 0.9327
Epoch 23 training time consumed: 149.20s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0007, Accuracy: 0.9337, Time consumed:8.21s
Training Epoch: 24 [256/10284]	Loss: 0.1459	LR: 0.004000
Training Epoch: 24 [512/10284]	Loss: 0.1701	LR: 0.004000
Training Epoch: 24 [768/10284]	Loss: 0.1358	LR: 0.004000
Training Epoch: 24 [1024/10284]	Loss: 0.1395	LR: 0.004000
Training Epoch: 24 [1280/10284]	Loss: 0.1890	LR: 0.004000
Training Epoch: 24 [1536/10284]	Loss: 0.1407	LR: 0.004000
Training Epoch: 24 [1792/10284]	Loss: 0.1313	LR: 0.004000
Training Epoch: 24 [2048/10284]	Loss: 0.1360	LR: 0.004000
Training Epoch: 24 [2304/10284]	Loss: 0.1269	LR: 0.004000
Training Epoch: 24 [2560/10284]	Loss: 0.1792	LR: 0.004000
Training Epoch: 24 [2816/10284]	Loss: 0.2076	LR: 0.004000
Training Epoch: 24 [3072/10284]	Loss: 0.1707	LR: 0.004000
Training Epoch: 24 [3328/10284]	Loss: 0.1602	LR: 0.004000
Training Epoch: 24 [3584/10284]	Loss: 0.1748	LR: 0.004000
Training Epoch: 24 [3840/10284]	Loss: 0.1246	LR: 0.004000
Training Epoch: 24 [4096/10284]	Loss: 0.2351	LR: 0.004000
Training Epoch: 24 [4352/10284]	Loss: 0.1347	LR: 0.004000
Training Epoch: 24 [4608/10284]	Loss: 0.1577	LR: 0.004000
Training Epoch: 24 [4864/10284]	Loss: 0.2148	LR: 0.004000
Training Epoch: 24 [5120/10284]	Loss: 0.1366	LR: 0.004000
Training Epoch: 24 [5376/10284]	Loss: 0.1819	LR: 0.004000
Training Epoch: 24 [5632/10284]	Loss: 0.1612	LR: 0.004000
Training Epoch: 24 [5888/10284]	Loss: 0.1332	LR: 0.004000
Training Epoch: 24 [6144/10284]	Loss: 0.1559	LR: 0.004000
Training Epoch: 24 [6400/10284]	Loss: 0.1398	LR: 0.004000
Training Epoch: 24 [6656/10284]	Loss: 0.1852	LR: 0.004000
Training Epoch: 24 [6912/10284]	Loss: 0.1292	LR: 0.004000
Training Epoch: 24 [7168/10284]	Loss: 0.1320	LR: 0.004000
Training Epoch: 24 [7424/10284]	Loss: 0.1397	LR: 0.004000
Training Epoch: 24 [7680/10284]	Loss: 0.1398	LR: 0.004000
Training Epoch: 24 [7936/10284]	Loss: 0.1691	LR: 0.004000
Training Epoch: 24 [8192/10284]	Loss: 0.1175	LR: 0.004000
Training Epoch: 24 [8448/10284]	Loss: 0.1357	LR: 0.004000
Training Epoch: 24 [8704/10284]	Loss: 0.1423	LR: 0.004000
Training Epoch: 24 [8960/10284]	Loss: 0.1728	LR: 0.004000
Training Epoch: 24 [9216/10284]	Loss: 0.1532	LR: 0.004000
Training Epoch: 24 [9472/10284]	Loss: 0.2001	LR: 0.004000
Training Epoch: 24 [9728/10284]	Loss: 0.1367	LR: 0.004000
Training Epoch: 24 [9984/10284]	Loss: 0.1593	LR: 0.004000
Training Epoch: 24 [10240/10284]	Loss: 0.1958	LR: 0.004000
Training Epoch: 24 [10284/10284]	Loss: 0.1482	LR: 0.004000
Epoch 24 - Average Train Loss: 0.1573, Train Accuracy: 0.9372
Epoch 24 training time consumed: 149.06s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0006, Accuracy: 0.9482, Time consumed:7.95s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_16h_28m_50s/ResNet18-MUCAC-seed5-ret75-24-best.pth
Training Epoch: 25 [256/10284]	Loss: 0.1928	LR: 0.004000
Training Epoch: 25 [512/10284]	Loss: 0.1648	LR: 0.004000
Training Epoch: 25 [768/10284]	Loss: 0.1332	LR: 0.004000
Training Epoch: 25 [1024/10284]	Loss: 0.1291	LR: 0.004000
Training Epoch: 25 [1280/10284]	Loss: 0.1301	LR: 0.004000
Training Epoch: 25 [1536/10284]	Loss: 0.2074	LR: 0.004000
Training Epoch: 25 [1792/10284]	Loss: 0.1174	LR: 0.004000
Training Epoch: 25 [2048/10284]	Loss: 0.1061	LR: 0.004000
Training Epoch: 25 [2304/10284]	Loss: 0.1187	LR: 0.004000
Training Epoch: 25 [2560/10284]	Loss: 0.1725	LR: 0.004000
Training Epoch: 25 [2816/10284]	Loss: 0.1348	LR: 0.004000
Training Epoch: 25 [3072/10284]	Loss: 0.1471	LR: 0.004000
Training Epoch: 25 [3328/10284]	Loss: 0.1594	LR: 0.004000
Training Epoch: 25 [3584/10284]	Loss: 0.1165	LR: 0.004000
Training Epoch: 25 [3840/10284]	Loss: 0.1769	LR: 0.004000
Training Epoch: 25 [4096/10284]	Loss: 0.1301	LR: 0.004000
Training Epoch: 25 [4352/10284]	Loss: 0.1505	LR: 0.004000
Training Epoch: 25 [4608/10284]	Loss: 0.1621	LR: 0.004000
Training Epoch: 25 [4864/10284]	Loss: 0.1503	LR: 0.004000
Training Epoch: 25 [5120/10284]	Loss: 0.1955	LR: 0.004000
Training Epoch: 25 [5376/10284]	Loss: 0.1530	LR: 0.004000
Training Epoch: 25 [5632/10284]	Loss: 0.1327	LR: 0.004000
Training Epoch: 25 [5888/10284]	Loss: 0.1115	LR: 0.004000
Training Epoch: 25 [6144/10284]	Loss: 0.1468	LR: 0.004000
Training Epoch: 25 [6400/10284]	Loss: 0.1990	LR: 0.004000
Training Epoch: 25 [6656/10284]	Loss: 0.1423	LR: 0.004000
Training Epoch: 25 [6912/10284]	Loss: 0.1875	LR: 0.004000
Training Epoch: 25 [7168/10284]	Loss: 0.1564	LR: 0.004000
Training Epoch: 25 [7424/10284]	Loss: 0.1451	LR: 0.004000
Training Epoch: 25 [7680/10284]	Loss: 0.1335	LR: 0.004000
Training Epoch: 25 [7936/10284]	Loss: 0.1309	LR: 0.004000
Training Epoch: 25 [8192/10284]	Loss: 0.1592	LR: 0.004000
Training Epoch: 25 [8448/10284]	Loss: 0.1749	LR: 0.004000
Training Epoch: 25 [8704/10284]	Loss: 0.1639	LR: 0.004000
Training Epoch: 25 [8960/10284]	Loss: 0.1779	LR: 0.004000
Training Epoch: 25 [9216/10284]	Loss: 0.1627	LR: 0.004000
Training Epoch: 25 [9472/10284]	Loss: 0.1751	LR: 0.004000
Training Epoch: 25 [9728/10284]	Loss: 0.1320	LR: 0.004000
Training Epoch: 25 [9984/10284]	Loss: 0.1148	LR: 0.004000
Training Epoch: 25 [10240/10284]	Loss: 0.1932	LR: 0.004000
Training Epoch: 25 [10284/10284]	Loss: 0.0868	LR: 0.004000
Epoch 25 - Average Train Loss: 0.1519, Train Accuracy: 0.9384
Epoch 25 training time consumed: 150.32s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0006, Accuracy: 0.9409, Time consumed:8.08s
Training Epoch: 26 [256/10284]	Loss: 0.1740	LR: 0.004000
Training Epoch: 26 [512/10284]	Loss: 0.1747	LR: 0.004000
Training Epoch: 26 [768/10284]	Loss: 0.1862	LR: 0.004000
Training Epoch: 26 [1024/10284]	Loss: 0.1777	LR: 0.004000
Training Epoch: 26 [1280/10284]	Loss: 0.2041	LR: 0.004000
Training Epoch: 26 [1536/10284]	Loss: 0.1491	LR: 0.004000
Training Epoch: 26 [1792/10284]	Loss: 0.1006	LR: 0.004000
Training Epoch: 26 [2048/10284]	Loss: 0.1467	LR: 0.004000
Training Epoch: 26 [2304/10284]	Loss: 0.1123	LR: 0.004000
Training Epoch: 26 [2560/10284]	Loss: 0.1297	LR: 0.004000
Training Epoch: 26 [2816/10284]	Loss: 0.1181	LR: 0.004000
Training Epoch: 26 [3072/10284]	Loss: 0.1637	LR: 0.004000
Training Epoch: 26 [3328/10284]	Loss: 0.1443	LR: 0.004000
Training Epoch: 26 [3584/10284]	Loss: 0.1299	LR: 0.004000
Training Epoch: 26 [3840/10284]	Loss: 0.1557	LR: 0.004000
Training Epoch: 26 [4096/10284]	Loss: 0.1583	LR: 0.004000
Training Epoch: 26 [4352/10284]	Loss: 0.1612	LR: 0.004000
Training Epoch: 26 [4608/10284]	Loss: 0.1238	LR: 0.004000
Training Epoch: 26 [4864/10284]	Loss: 0.1374	LR: 0.004000
Training Epoch: 26 [5120/10284]	Loss: 0.1783	LR: 0.004000
Training Epoch: 26 [5376/10284]	Loss: 0.1001	LR: 0.004000
Training Epoch: 26 [5632/10284]	Loss: 0.1668	LR: 0.004000
Training Epoch: 26 [5888/10284]	Loss: 0.1883	LR: 0.004000
Training Epoch: 26 [6144/10284]	Loss: 0.1354	LR: 0.004000
Training Epoch: 26 [6400/10284]	Loss: 0.1951	LR: 0.004000
Training Epoch: 26 [6656/10284]	Loss: 0.1721	LR: 0.004000
Training Epoch: 26 [6912/10284]	Loss: 0.2084	LR: 0.004000
Training Epoch: 26 [7168/10284]	Loss: 0.1776	LR: 0.004000
Training Epoch: 26 [7424/10284]	Loss: 0.1716	LR: 0.004000
Training Epoch: 26 [7680/10284]	Loss: 0.2015	LR: 0.004000
Training Epoch: 26 [7936/10284]	Loss: 0.1487	LR: 0.004000
Training Epoch: 26 [8192/10284]	Loss: 0.1463	LR: 0.004000
Training Epoch: 26 [8448/10284]	Loss: 0.1536	LR: 0.004000
Training Epoch: 26 [8704/10284]	Loss: 0.1366	LR: 0.004000
Training Epoch: 26 [8960/10284]	Loss: 0.1720	LR: 0.004000
Training Epoch: 26 [9216/10284]	Loss: 0.1253	LR: 0.004000
Training Epoch: 26 [9472/10284]	Loss: 0.1957	LR: 0.004000
Training Epoch: 26 [9728/10284]	Loss: 0.1596	LR: 0.004000
Training Epoch: 26 [9984/10284]	Loss: 0.1707	LR: 0.004000
Training Epoch: 26 [10240/10284]	Loss: 0.1690	LR: 0.004000
Training Epoch: 26 [10284/10284]	Loss: 0.1706	LR: 0.004000
Epoch 26 - Average Train Loss: 0.1581, Train Accuracy: 0.9342
Epoch 26 training time consumed: 150.39s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0007, Accuracy: 0.9288, Time consumed:7.93s
Training Epoch: 27 [256/10284]	Loss: 0.1368	LR: 0.004000
Training Epoch: 27 [512/10284]	Loss: 0.1529	LR: 0.004000
Training Epoch: 27 [768/10284]	Loss: 0.1750	LR: 0.004000
Training Epoch: 27 [1024/10284]	Loss: 0.1418	LR: 0.004000
Training Epoch: 27 [1280/10284]	Loss: 0.1645	LR: 0.004000
Training Epoch: 27 [1536/10284]	Loss: 0.1416	LR: 0.004000
Training Epoch: 27 [1792/10284]	Loss: 0.1696	LR: 0.004000
Training Epoch: 27 [2048/10284]	Loss: 0.1211	LR: 0.004000
Training Epoch: 27 [2304/10284]	Loss: 0.1481	LR: 0.004000
Training Epoch: 27 [2560/10284]	Loss: 0.1475	LR: 0.004000
Training Epoch: 27 [2816/10284]	Loss: 0.1390	LR: 0.004000
Training Epoch: 27 [3072/10284]	Loss: 0.2118	LR: 0.004000
Training Epoch: 27 [3328/10284]	Loss: 0.1382	LR: 0.004000
Training Epoch: 27 [3584/10284]	Loss: 0.1249	LR: 0.004000
Training Epoch: 27 [3840/10284]	Loss: 0.1404	LR: 0.004000
Training Epoch: 27 [4096/10284]	Loss: 0.0994	LR: 0.004000
Training Epoch: 27 [4352/10284]	Loss: 0.1132	LR: 0.004000
Training Epoch: 27 [4608/10284]	Loss: 0.1671	LR: 0.004000
Training Epoch: 27 [4864/10284]	Loss: 0.1422	LR: 0.004000
Training Epoch: 27 [5120/10284]	Loss: 0.1592	LR: 0.004000
Training Epoch: 27 [5376/10284]	Loss: 0.1834	LR: 0.004000
Training Epoch: 27 [5632/10284]	Loss: 0.1215	LR: 0.004000
Training Epoch: 27 [5888/10284]	Loss: 0.1347	LR: 0.004000
Training Epoch: 27 [6144/10284]	Loss: 0.2013	LR: 0.004000
Training Epoch: 27 [6400/10284]	Loss: 0.1886	LR: 0.004000
Training Epoch: 27 [6656/10284]	Loss: 0.1445	LR: 0.004000
Training Epoch: 27 [6912/10284]	Loss: 0.1764	LR: 0.004000
Training Epoch: 27 [7168/10284]	Loss: 0.1227	LR: 0.004000
Training Epoch: 27 [7424/10284]	Loss: 0.1595	LR: 0.004000
Training Epoch: 27 [7680/10284]	Loss: 0.1455	LR: 0.004000
Training Epoch: 27 [7936/10284]	Loss: 0.1507	LR: 0.004000
Training Epoch: 27 [8192/10284]	Loss: 0.1705	LR: 0.004000
Training Epoch: 27 [8448/10284]	Loss: 0.1701	LR: 0.004000
Training Epoch: 27 [8704/10284]	Loss: 0.1193	LR: 0.004000
Training Epoch: 27 [8960/10284]	Loss: 0.1721	LR: 0.004000
Training Epoch: 27 [9216/10284]	Loss: 0.1272	LR: 0.004000
Training Epoch: 27 [9472/10284]	Loss: 0.1464	LR: 0.004000
Training Epoch: 27 [9728/10284]	Loss: 0.1873	LR: 0.004000
Training Epoch: 27 [9984/10284]	Loss: 0.1312	LR: 0.004000
Training Epoch: 27 [10240/10284]	Loss: 0.1328	LR: 0.004000
Training Epoch: 27 [10284/10284]	Loss: 0.1588	LR: 0.004000
Epoch 27 - Average Train Loss: 0.1505, Train Accuracy: 0.9372
Epoch 27 training time consumed: 149.63s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0006, Accuracy: 0.9395, Time consumed:8.05s
Training Epoch: 28 [256/10284]	Loss: 0.1213	LR: 0.004000
Training Epoch: 28 [512/10284]	Loss: 0.1428	LR: 0.004000
Training Epoch: 28 [768/10284]	Loss: 0.1458	LR: 0.004000
Training Epoch: 28 [1024/10284]	Loss: 0.1720	LR: 0.004000
Training Epoch: 28 [1280/10284]	Loss: 0.1439	LR: 0.004000
Training Epoch: 28 [1536/10284]	Loss: 0.1974	LR: 0.004000
Training Epoch: 28 [1792/10284]	Loss: 0.1415	LR: 0.004000
Training Epoch: 28 [2048/10284]	Loss: 0.1274	LR: 0.004000
Training Epoch: 28 [2304/10284]	Loss: 0.1339	LR: 0.004000
Training Epoch: 28 [2560/10284]	Loss: 0.1124	LR: 0.004000
Training Epoch: 28 [2816/10284]	Loss: 0.1570	LR: 0.004000
Training Epoch: 28 [3072/10284]	Loss: 0.1602	LR: 0.004000
Training Epoch: 28 [3328/10284]	Loss: 0.1176	LR: 0.004000
Training Epoch: 28 [3584/10284]	Loss: 0.1898	LR: 0.004000
Training Epoch: 28 [3840/10284]	Loss: 0.1779	LR: 0.004000
Training Epoch: 28 [4096/10284]	Loss: 0.1425	LR: 0.004000
Training Epoch: 28 [4352/10284]	Loss: 0.1502	LR: 0.004000
Training Epoch: 28 [4608/10284]	Loss: 0.1284	LR: 0.004000
Training Epoch: 28 [4864/10284]	Loss: 0.1535	LR: 0.004000
Training Epoch: 28 [5120/10284]	Loss: 0.1668	LR: 0.004000
Training Epoch: 28 [5376/10284]	Loss: 0.1636	LR: 0.004000
Training Epoch: 28 [5632/10284]	Loss: 0.1532	LR: 0.004000
Training Epoch: 28 [5888/10284]	Loss: 0.1103	LR: 0.004000
Training Epoch: 28 [6144/10284]	Loss: 0.2040	LR: 0.004000
Training Epoch: 28 [6400/10284]	Loss: 0.1537	LR: 0.004000
Training Epoch: 28 [6656/10284]	Loss: 0.1200	LR: 0.004000
Training Epoch: 28 [6912/10284]	Loss: 0.0998	LR: 0.004000
Training Epoch: 28 [7168/10284]	Loss: 0.1739	LR: 0.004000
Training Epoch: 28 [7424/10284]	Loss: 0.1544	LR: 0.004000
Training Epoch: 28 [7680/10284]	Loss: 0.1858	LR: 0.004000
Training Epoch: 28 [7936/10284]	Loss: 0.1368	LR: 0.004000
Training Epoch: 28 [8192/10284]	Loss: 0.1492	LR: 0.004000
Training Epoch: 28 [8448/10284]	Loss: 0.1578	LR: 0.004000
Training Epoch: 28 [8704/10284]	Loss: 0.1536	LR: 0.004000
Training Epoch: 28 [8960/10284]	Loss: 0.1082	LR: 0.004000
Training Epoch: 28 [9216/10284]	Loss: 0.1683	LR: 0.004000
Training Epoch: 28 [9472/10284]	Loss: 0.1138	LR: 0.004000
Training Epoch: 28 [9728/10284]	Loss: 0.1113	LR: 0.004000
Training Epoch: 28 [9984/10284]	Loss: 0.1712	LR: 0.004000
Training Epoch: 28 [10240/10284]	Loss: 0.1394	LR: 0.004000
Training Epoch: 28 [10284/10284]	Loss: 0.2560	LR: 0.004000
Epoch 28 - Average Train Loss: 0.1482, Train Accuracy: 0.9376
Epoch 28 training time consumed: 149.61s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0006, Accuracy: 0.9419, Time consumed:8.02s
Training Epoch: 29 [256/10284]	Loss: 0.1339	LR: 0.004000
Training Epoch: 29 [512/10284]	Loss: 0.1556	LR: 0.004000
Training Epoch: 29 [768/10284]	Loss: 0.1100	LR: 0.004000
Training Epoch: 29 [1024/10284]	Loss: 0.1161	LR: 0.004000
Training Epoch: 29 [1280/10284]	Loss: 0.1892	LR: 0.004000
Training Epoch: 29 [1536/10284]	Loss: 0.0979	LR: 0.004000
Training Epoch: 29 [1792/10284]	Loss: 0.1231	LR: 0.004000
Training Epoch: 29 [2048/10284]	Loss: 0.1409	LR: 0.004000
Training Epoch: 29 [2304/10284]	Loss: 0.1496	LR: 0.004000
Training Epoch: 29 [2560/10284]	Loss: 0.1336	LR: 0.004000
Training Epoch: 29 [2816/10284]	Loss: 0.1657	LR: 0.004000
Training Epoch: 29 [3072/10284]	Loss: 0.1706	LR: 0.004000
Training Epoch: 29 [3328/10284]	Loss: 0.1496	LR: 0.004000
Training Epoch: 29 [3584/10284]	Loss: 0.1454	LR: 0.004000
Training Epoch: 29 [3840/10284]	Loss: 0.1689	LR: 0.004000
Training Epoch: 29 [4096/10284]	Loss: 0.1723	LR: 0.004000
Training Epoch: 29 [4352/10284]	Loss: 0.1272	LR: 0.004000
Training Epoch: 29 [4608/10284]	Loss: 0.1249	LR: 0.004000
Training Epoch: 29 [4864/10284]	Loss: 0.1592	LR: 0.004000
Training Epoch: 29 [5120/10284]	Loss: 0.1269	LR: 0.004000
Training Epoch: 29 [5376/10284]	Loss: 0.1247	LR: 0.004000
Training Epoch: 29 [5632/10284]	Loss: 0.1395	LR: 0.004000
Training Epoch: 29 [5888/10284]	Loss: 0.1692	LR: 0.004000
Training Epoch: 29 [6144/10284]	Loss: 0.1609	LR: 0.004000
Training Epoch: 29 [6400/10284]	Loss: 0.1329	LR: 0.004000
Training Epoch: 29 [6656/10284]	Loss: 0.1363	LR: 0.004000
Training Epoch: 29 [6912/10284]	Loss: 0.1622	LR: 0.004000
Training Epoch: 29 [7168/10284]	Loss: 0.1516	LR: 0.004000
Training Epoch: 29 [7424/10284]	Loss: 0.2010	LR: 0.004000
Training Epoch: 29 [7680/10284]	Loss: 0.1233	LR: 0.004000
Training Epoch: 29 [7936/10284]	Loss: 0.1508	LR: 0.004000
Training Epoch: 29 [8192/10284]	Loss: 0.1188	LR: 0.004000
Training Epoch: 29 [8448/10284]	Loss: 0.0961	LR: 0.004000
Training Epoch: 29 [8704/10284]	Loss: 0.1794	LR: 0.004000
Training Epoch: 29 [8960/10284]	Loss: 0.1709	LR: 0.004000
Training Epoch: 29 [9216/10284]	Loss: 0.1622	LR: 0.004000
Training Epoch: 29 [9472/10284]	Loss: 0.1685	LR: 0.004000
Training Epoch: 29 [9728/10284]	Loss: 0.1202	LR: 0.004000
Training Epoch: 29 [9984/10284]	Loss: 0.1685	LR: 0.004000
Training Epoch: 29 [10240/10284]	Loss: 0.1244	LR: 0.004000
Training Epoch: 29 [10284/10284]	Loss: 0.0740	LR: 0.004000
Epoch 29 - Average Train Loss: 0.1452, Train Accuracy: 0.9384
Epoch 29 training time consumed: 149.57s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0006, Accuracy: 0.9424, Time consumed:7.91s
Training Epoch: 30 [256/10284]	Loss: 0.1033	LR: 0.004000
Training Epoch: 30 [512/10284]	Loss: 0.1046	LR: 0.004000
Training Epoch: 30 [768/10284]	Loss: 0.1737	LR: 0.004000
Training Epoch: 30 [1024/10284]	Loss: 0.1416	LR: 0.004000
Training Epoch: 30 [1280/10284]	Loss: 0.1378	LR: 0.004000
Training Epoch: 30 [1536/10284]	Loss: 0.1233	LR: 0.004000
Training Epoch: 30 [1792/10284]	Loss: 0.1471	LR: 0.004000
Training Epoch: 30 [2048/10284]	Loss: 0.1398	LR: 0.004000
Training Epoch: 30 [2304/10284]	Loss: 0.1796	LR: 0.004000
Training Epoch: 30 [2560/10284]	Loss: 0.1756	LR: 0.004000
Training Epoch: 30 [2816/10284]	Loss: 0.1442	LR: 0.004000
Training Epoch: 30 [3072/10284]	Loss: 0.1940	LR: 0.004000
Training Epoch: 30 [3328/10284]	Loss: 0.1527	LR: 0.004000
Training Epoch: 30 [3584/10284]	Loss: 0.1247	LR: 0.004000
Training Epoch: 30 [3840/10284]	Loss: 0.1256	LR: 0.004000
Training Epoch: 30 [4096/10284]	Loss: 0.1676	LR: 0.004000
Training Epoch: 30 [4352/10284]	Loss: 0.1701	LR: 0.004000
Training Epoch: 30 [4608/10284]	Loss: 0.1399	LR: 0.004000
Training Epoch: 30 [4864/10284]	Loss: 0.1105	LR: 0.004000
Training Epoch: 30 [5120/10284]	Loss: 0.1691	LR: 0.004000
Training Epoch: 30 [5376/10284]	Loss: 0.1236	LR: 0.004000
Training Epoch: 30 [5632/10284]	Loss: 0.1125	LR: 0.004000
Training Epoch: 30 [5888/10284]	Loss: 0.1798	LR: 0.004000
Training Epoch: 30 [6144/10284]	Loss: 0.0963	LR: 0.004000
Training Epoch: 30 [6400/10284]	Loss: 0.1423	LR: 0.004000
Training Epoch: 30 [6656/10284]	Loss: 0.1663	LR: 0.004000
Training Epoch: 30 [6912/10284]	Loss: 0.1147	LR: 0.004000
Training Epoch: 30 [7168/10284]	Loss: 0.1377	LR: 0.004000
Training Epoch: 30 [7424/10284]	Loss: 0.1543	LR: 0.004000
Training Epoch: 30 [7680/10284]	Loss: 0.1458	LR: 0.004000
Training Epoch: 30 [7936/10284]	Loss: 0.1562	LR: 0.004000
Training Epoch: 30 [8192/10284]	Loss: 0.1147	LR: 0.004000
Training Epoch: 30 [8448/10284]	Loss: 0.1284	LR: 0.004000
Training Epoch: 30 [8704/10284]	Loss: 0.1012	LR: 0.004000
Training Epoch: 30 [8960/10284]	Loss: 0.1377	LR: 0.004000
Training Epoch: 30 [9216/10284]	Loss: 0.1435	LR: 0.004000
Training Epoch: 30 [9472/10284]	Loss: 0.1427	LR: 0.004000
Training Epoch: 30 [9728/10284]	Loss: 0.1345	LR: 0.004000
Training Epoch: 30 [9984/10284]	Loss: 0.1182	LR: 0.004000
Training Epoch: 30 [10240/10284]	Loss: 0.1364	LR: 0.004000
Training Epoch: 30 [10284/10284]	Loss: 0.1784	LR: 0.004000
Epoch 30 - Average Train Loss: 0.1405, Train Accuracy: 0.9397
Epoch 30 training time consumed: 149.78s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0006, Accuracy: 0.9438, Time consumed:7.95s
Training Epoch: 31 [256/10284]	Loss: 0.1518	LR: 0.004000
Training Epoch: 31 [512/10284]	Loss: 0.1740	LR: 0.004000
Training Epoch: 31 [768/10284]	Loss: 0.1023	LR: 0.004000
Training Epoch: 31 [1024/10284]	Loss: 0.1300	LR: 0.004000
Training Epoch: 31 [1280/10284]	Loss: 0.1763	LR: 0.004000
Training Epoch: 31 [1536/10284]	Loss: 0.1721	LR: 0.004000
Training Epoch: 31 [1792/10284]	Loss: 0.1561	LR: 0.004000
Training Epoch: 31 [2048/10284]	Loss: 0.1112	LR: 0.004000
Training Epoch: 31 [2304/10284]	Loss: 0.2027	LR: 0.004000
Training Epoch: 31 [2560/10284]	Loss: 0.1448	LR: 0.004000
Training Epoch: 31 [2816/10284]	Loss: 0.1280	LR: 0.004000
Training Epoch: 31 [3072/10284]	Loss: 0.1531	LR: 0.004000
Training Epoch: 31 [3328/10284]	Loss: 0.1152	LR: 0.004000
Training Epoch: 31 [3584/10284]	Loss: 0.0914	LR: 0.004000
Training Epoch: 31 [3840/10284]	Loss: 0.1347	LR: 0.004000
Training Epoch: 31 [4096/10284]	Loss: 0.1055	LR: 0.004000
Training Epoch: 31 [4352/10284]	Loss: 0.1263	LR: 0.004000
Training Epoch: 31 [4608/10284]	Loss: 0.1344	LR: 0.004000
Training Epoch: 31 [4864/10284]	Loss: 0.2015	LR: 0.004000
Training Epoch: 31 [5120/10284]	Loss: 0.1387	LR: 0.004000
Training Epoch: 31 [5376/10284]	Loss: 0.1260	LR: 0.004000
Training Epoch: 31 [5632/10284]	Loss: 0.1252	LR: 0.004000
Training Epoch: 31 [5888/10284]	Loss: 0.1270	LR: 0.004000
Training Epoch: 31 [6144/10284]	Loss: 0.1529	LR: 0.004000
Training Epoch: 31 [6400/10284]	Loss: 0.1459	LR: 0.004000
Training Epoch: 31 [6656/10284]	Loss: 0.1292	LR: 0.004000
Training Epoch: 31 [6912/10284]	Loss: 0.1366	LR: 0.004000
Training Epoch: 31 [7168/10284]	Loss: 0.1341	LR: 0.004000
Training Epoch: 31 [7424/10284]	Loss: 0.1240	LR: 0.004000
Training Epoch: 31 [7680/10284]	Loss: 0.1288	LR: 0.004000
Training Epoch: 31 [7936/10284]	Loss: 0.1332	LR: 0.004000
Training Epoch: 31 [8192/10284]	Loss: 0.1476	LR: 0.004000
Training Epoch: 31 [8448/10284]	Loss: 0.1761	LR: 0.004000
Training Epoch: 31 [8704/10284]	Loss: 0.1617	LR: 0.004000
Training Epoch: 31 [8960/10284]	Loss: 0.1120	LR: 0.004000
Training Epoch: 31 [9216/10284]	Loss: 0.0914	LR: 0.004000
Training Epoch: 31 [9472/10284]	Loss: 0.1408	LR: 0.004000
Training Epoch: 31 [9728/10284]	Loss: 0.1387	LR: 0.004000
Training Epoch: 31 [9984/10284]	Loss: 0.1228	LR: 0.004000
Training Epoch: 31 [10240/10284]	Loss: 0.1303	LR: 0.004000
Training Epoch: 31 [10284/10284]	Loss: 0.1603	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1385, Train Accuracy: 0.9419
Epoch 31 training time consumed: 149.28s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0006, Accuracy: 0.9409, Time consumed:8.03s
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: 94.09467315673828
Retain Accuracy: 94.25062561035156
Zero-Retain Forget (ZRF): 0.7369274497032166
Membership Inference Attack (MIA): 0.3371212121212121
Forget vs Retain Membership Inference Attack (MIA): 0.5
Forget vs Test Membership Inference Attack (MIA): 0.5188679245283019
Test vs Retain Membership Inference Attack (MIA): 0.5
Train vs Test Membership Inference Attack (MIA): 0.5520581113801453
Forget Set Accuracy (Df): 89.0625
Method Execution Time: 6054.14 seconds
