./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: 5415
  Class 1: 4341
Forget set:
  Class 0: 396
  Class 1: 396
./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 [256/9756]	Loss: 1.0143	LR: 0.000000
Training Epoch: 1 [512/9756]	Loss: 0.9401	LR: 0.002564
Training Epoch: 1 [768/9756]	Loss: 0.6927	LR: 0.005128
Training Epoch: 1 [1024/9756]	Loss: 0.9159	LR: 0.007692
Training Epoch: 1 [1280/9756]	Loss: 1.5204	LR: 0.010256
Training Epoch: 1 [1536/9756]	Loss: 0.8493	LR: 0.012821
Training Epoch: 1 [1792/9756]	Loss: 0.9604	LR: 0.015385
Training Epoch: 1 [2048/9756]	Loss: 1.3868	LR: 0.017949
Training Epoch: 1 [2304/9756]	Loss: 0.8021	LR: 0.020513
Training Epoch: 1 [2560/9756]	Loss: 1.0496	LR: 0.023077
Training Epoch: 1 [2816/9756]	Loss: 0.7345	LR: 0.025641
Training Epoch: 1 [3072/9756]	Loss: 1.0419	LR: 0.028205
Training Epoch: 1 [3328/9756]	Loss: 0.7468	LR: 0.030769
Training Epoch: 1 [3584/9756]	Loss: 0.7530	LR: 0.033333
Training Epoch: 1 [3840/9756]	Loss: 0.7003	LR: 0.035897
Training Epoch: 1 [4096/9756]	Loss: 0.6953	LR: 0.038462
Training Epoch: 1 [4352/9756]	Loss: 0.7498	LR: 0.041026
Training Epoch: 1 [4608/9756]	Loss: 0.7284	LR: 0.043590
Training Epoch: 1 [4864/9756]	Loss: 0.7892	LR: 0.046154
Training Epoch: 1 [5120/9756]	Loss: 0.6732	LR: 0.048718
Training Epoch: 1 [5376/9756]	Loss: 0.7979	LR: 0.051282
Training Epoch: 1 [5632/9756]	Loss: 0.6752	LR: 0.053846
Training Epoch: 1 [5888/9756]	Loss: 0.7232	LR: 0.056410
Training Epoch: 1 [6144/9756]	Loss: 0.7344	LR: 0.058974
Training Epoch: 1 [6400/9756]	Loss: 0.7412	LR: 0.061538
Training Epoch: 1 [6656/9756]	Loss: 0.7929	LR: 0.064103
Training Epoch: 1 [6912/9756]	Loss: 0.7140	LR: 0.066667
Training Epoch: 1 [7168/9756]	Loss: 0.7266	LR: 0.069231
Training Epoch: 1 [7424/9756]	Loss: 0.6910	LR: 0.071795
Training Epoch: 1 [7680/9756]	Loss: 0.8622	LR: 0.074359
Training Epoch: 1 [7936/9756]	Loss: 0.6972	LR: 0.076923
Training Epoch: 1 [8192/9756]	Loss: 0.6610	LR: 0.079487
Training Epoch: 1 [8448/9756]	Loss: 0.7263	LR: 0.082051
Training Epoch: 1 [8704/9756]	Loss: 0.7433	LR: 0.084615
Training Epoch: 1 [8960/9756]	Loss: 0.6953	LR: 0.087179
Training Epoch: 1 [9216/9756]	Loss: 0.7394	LR: 0.089744
Training Epoch: 1 [9472/9756]	Loss: 0.6867	LR: 0.092308
Training Epoch: 1 [9728/9756]	Loss: 0.7065	LR: 0.094872
Training Epoch: 1 [9756/9756]	Loss: 0.6809	LR: 0.097436
Epoch 1 - Average Train Loss: 0.8117, Train Accuracy: 0.5345
Epoch 1 training time consumed: 333.49s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0043, Accuracy: 0.4557, Time consumed:8.08s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-1-best.pth
Training Epoch: 2 [256/9756]	Loss: 0.6631	LR: 0.100000
Training Epoch: 2 [512/9756]	Loss: 0.6961	LR: 0.100000
Training Epoch: 2 [768/9756]	Loss: 0.6862	LR: 0.100000
Training Epoch: 2 [1024/9756]	Loss: 0.7115	LR: 0.100000
Training Epoch: 2 [1280/9756]	Loss: 0.8207	LR: 0.100000
Training Epoch: 2 [1536/9756]	Loss: 0.6726	LR: 0.100000
Training Epoch: 2 [1792/9756]	Loss: 0.6778	LR: 0.100000
Training Epoch: 2 [2048/9756]	Loss: 0.6829	LR: 0.100000
Training Epoch: 2 [2304/9756]	Loss: 0.7386	LR: 0.100000
Training Epoch: 2 [2560/9756]	Loss: 0.6890	LR: 0.100000
Training Epoch: 2 [2816/9756]	Loss: 0.7036	LR: 0.100000
Training Epoch: 2 [3072/9756]	Loss: 0.7171	LR: 0.100000
Training Epoch: 2 [3328/9756]	Loss: 0.6654	LR: 0.100000
Training Epoch: 2 [3584/9756]	Loss: 0.6709	LR: 0.100000
Training Epoch: 2 [3840/9756]	Loss: 0.6522	LR: 0.100000
Training Epoch: 2 [4096/9756]	Loss: 0.6777	LR: 0.100000
Training Epoch: 2 [4352/9756]	Loss: 0.7134	LR: 0.100000
Training Epoch: 2 [4608/9756]	Loss: 0.6831	LR: 0.100000
Training Epoch: 2 [4864/9756]	Loss: 0.6686	LR: 0.100000
Training Epoch: 2 [5120/9756]	Loss: 0.6347	LR: 0.100000
Training Epoch: 2 [5376/9756]	Loss: 0.6754	LR: 0.100000
Training Epoch: 2 [5632/9756]	Loss: 0.6856	LR: 0.100000
Training Epoch: 2 [5888/9756]	Loss: 0.7153	LR: 0.100000
Training Epoch: 2 [6144/9756]	Loss: 0.6782	LR: 0.100000
Training Epoch: 2 [6400/9756]	Loss: 0.6677	LR: 0.100000
Training Epoch: 2 [6656/9756]	Loss: 0.6652	LR: 0.100000
Training Epoch: 2 [6912/9756]	Loss: 0.6517	LR: 0.100000
Training Epoch: 2 [7168/9756]	Loss: 0.7724	LR: 0.100000
Training Epoch: 2 [7424/9756]	Loss: 0.6825	LR: 0.100000
Training Epoch: 2 [7680/9756]	Loss: 0.6943	LR: 0.100000
Training Epoch: 2 [7936/9756]	Loss: 0.6813	LR: 0.100000
Training Epoch: 2 [8192/9756]	Loss: 0.6875	LR: 0.100000
Training Epoch: 2 [8448/9756]	Loss: 0.6845	LR: 0.100000
Training Epoch: 2 [8704/9756]	Loss: 0.6886	LR: 0.100000
Training Epoch: 2 [8960/9756]	Loss: 0.6727	LR: 0.100000
Training Epoch: 2 [9216/9756]	Loss: 0.6763	LR: 0.100000
Training Epoch: 2 [9472/9756]	Loss: 0.6810	LR: 0.100000
Training Epoch: 2 [9728/9756]	Loss: 0.6804	LR: 0.100000
Training Epoch: 2 [9756/9756]	Loss: 0.7095	LR: 0.100000
Epoch 2 - Average Train Loss: 0.6886, Train Accuracy: 0.5742
Epoch 2 training time consumed: 141.82s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0036, Accuracy: 0.5366, Time consumed:8.09s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-2-best.pth
Training Epoch: 3 [256/9756]	Loss: 0.6788	LR: 0.100000
Training Epoch: 3 [512/9756]	Loss: 0.7186	LR: 0.100000
Training Epoch: 3 [768/9756]	Loss: 0.6754	LR: 0.100000
Training Epoch: 3 [1024/9756]	Loss: 0.6652	LR: 0.100000
Training Epoch: 3 [1280/9756]	Loss: 0.7032	LR: 0.100000
Training Epoch: 3 [1536/9756]	Loss: 0.6865	LR: 0.100000
Training Epoch: 3 [1792/9756]	Loss: 0.6941	LR: 0.100000
Training Epoch: 3 [2048/9756]	Loss: 0.7155	LR: 0.100000
Training Epoch: 3 [2304/9756]	Loss: 0.7113	LR: 0.100000
Training Epoch: 3 [2560/9756]	Loss: 0.6864	LR: 0.100000
Training Epoch: 3 [2816/9756]	Loss: 0.6613	LR: 0.100000
Training Epoch: 3 [3072/9756]	Loss: 0.7693	LR: 0.100000
Training Epoch: 3 [3328/9756]	Loss: 0.6993	LR: 0.100000
Training Epoch: 3 [3584/9756]	Loss: 0.6740	LR: 0.100000
Training Epoch: 3 [3840/9756]	Loss: 0.6949	LR: 0.100000
Training Epoch: 3 [4096/9756]	Loss: 0.6939	LR: 0.100000
Training Epoch: 3 [4352/9756]	Loss: 0.6749	LR: 0.100000
Training Epoch: 3 [4608/9756]	Loss: 0.6933	LR: 0.100000
Training Epoch: 3 [4864/9756]	Loss: 0.7148	LR: 0.100000
Training Epoch: 3 [5120/9756]	Loss: 0.6847	LR: 0.100000
Training Epoch: 3 [5376/9756]	Loss: 0.6711	LR: 0.100000
Training Epoch: 3 [5632/9756]	Loss: 0.6437	LR: 0.100000
Training Epoch: 3 [5888/9756]	Loss: 0.6787	LR: 0.100000
Training Epoch: 3 [6144/9756]	Loss: 0.7779	LR: 0.100000
Training Epoch: 3 [6400/9756]	Loss: 0.6847	LR: 0.100000
Training Epoch: 3 [6656/9756]	Loss: 0.6793	LR: 0.100000
Training Epoch: 3 [6912/9756]	Loss: 0.6376	LR: 0.100000
Training Epoch: 3 [7168/9756]	Loss: 0.7106	LR: 0.100000
Training Epoch: 3 [7424/9756]	Loss: 0.7163	LR: 0.100000
Training Epoch: 3 [7680/9756]	Loss: 0.6713	LR: 0.100000
Training Epoch: 3 [7936/9756]	Loss: 0.7034	LR: 0.100000
Training Epoch: 3 [8192/9756]	Loss: 0.6986	LR: 0.100000
Training Epoch: 3 [8448/9756]	Loss: 0.6816	LR: 0.100000
Training Epoch: 3 [8704/9756]	Loss: 0.7011	LR: 0.100000
Training Epoch: 3 [8960/9756]	Loss: 0.6667	LR: 0.100000
Training Epoch: 3 [9216/9756]	Loss: 0.6367	LR: 0.100000
Training Epoch: 3 [9472/9756]	Loss: 0.6745	LR: 0.100000
Training Epoch: 3 [9728/9756]	Loss: 0.6667	LR: 0.100000
Training Epoch: 3 [9756/9756]	Loss: 0.7403	LR: 0.100000
Epoch 3 - Average Train Loss: 0.6895, Train Accuracy: 0.5724
Epoch 3 training time consumed: 141.51s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0033, Accuracy: 0.5559, Time consumed:8.05s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-3-best.pth
Training Epoch: 4 [256/9756]	Loss: 0.7037	LR: 0.100000
Training Epoch: 4 [512/9756]	Loss: 0.6812	LR: 0.100000
Training Epoch: 4 [768/9756]	Loss: 0.6837	LR: 0.100000
Training Epoch: 4 [1024/9756]	Loss: 0.6925	LR: 0.100000
Training Epoch: 4 [1280/9756]	Loss: 0.7393	LR: 0.100000
Training Epoch: 4 [1536/9756]	Loss: 0.6833	LR: 0.100000
Training Epoch: 4 [1792/9756]	Loss: 0.6927	LR: 0.100000
Training Epoch: 4 [2048/9756]	Loss: 0.6726	LR: 0.100000
Training Epoch: 4 [2304/9756]	Loss: 0.6671	LR: 0.100000
Training Epoch: 4 [2560/9756]	Loss: 0.6819	LR: 0.100000
Training Epoch: 4 [2816/9756]	Loss: 0.6996	LR: 0.100000
Training Epoch: 4 [3072/9756]	Loss: 0.6544	LR: 0.100000
Training Epoch: 4 [3328/9756]	Loss: 0.6787	LR: 0.100000
Training Epoch: 4 [3584/9756]	Loss: 0.6544	LR: 0.100000
Training Epoch: 4 [3840/9756]	Loss: 0.6666	LR: 0.100000
Training Epoch: 4 [4096/9756]	Loss: 0.6396	LR: 0.100000
Training Epoch: 4 [4352/9756]	Loss: 0.6908	LR: 0.100000
Training Epoch: 4 [4608/9756]	Loss: 0.6498	LR: 0.100000
Training Epoch: 4 [4864/9756]	Loss: 0.7250	LR: 0.100000
Training Epoch: 4 [5120/9756]	Loss: 0.6858	LR: 0.100000
Training Epoch: 4 [5376/9756]	Loss: 0.6795	LR: 0.100000
Training Epoch: 4 [5632/9756]	Loss: 0.6804	LR: 0.100000
Training Epoch: 4 [5888/9756]	Loss: 0.6939	LR: 0.100000
Training Epoch: 4 [6144/9756]	Loss: 0.7071	LR: 0.100000
Training Epoch: 4 [6400/9756]	Loss: 0.6861	LR: 0.100000
Training Epoch: 4 [6656/9756]	Loss: 0.6645	LR: 0.100000
Training Epoch: 4 [6912/9756]	Loss: 0.6748	LR: 0.100000
Training Epoch: 4 [7168/9756]	Loss: 0.6893	LR: 0.100000
Training Epoch: 4 [7424/9756]	Loss: 0.6881	LR: 0.100000
Training Epoch: 4 [7680/9756]	Loss: 0.6569	LR: 0.100000
Training Epoch: 4 [7936/9756]	Loss: 0.6871	LR: 0.100000
Training Epoch: 4 [8192/9756]	Loss: 0.6828	LR: 0.100000
Training Epoch: 4 [8448/9756]	Loss: 0.6369	LR: 0.100000
Training Epoch: 4 [8704/9756]	Loss: 0.6495	LR: 0.100000
Training Epoch: 4 [8960/9756]	Loss: 0.6792	LR: 0.100000
Training Epoch: 4 [9216/9756]	Loss: 0.6568	LR: 0.100000
Training Epoch: 4 [9472/9756]	Loss: 0.6527	LR: 0.100000
Training Epoch: 4 [9728/9756]	Loss: 0.6847	LR: 0.100000
Training Epoch: 4 [9756/9756]	Loss: 0.6689	LR: 0.100000
Epoch 4 - Average Train Loss: 0.6787, Train Accuracy: 0.5791
Epoch 4 training time consumed: 141.74s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0031, Accuracy: 0.5603, Time consumed:7.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-4-best.pth
Training Epoch: 5 [256/9756]	Loss: 0.6825	LR: 0.100000
Training Epoch: 5 [512/9756]	Loss: 0.6416	LR: 0.100000
Training Epoch: 5 [768/9756]	Loss: 0.6444	LR: 0.100000
Training Epoch: 5 [1024/9756]	Loss: 0.6469	LR: 0.100000
Training Epoch: 5 [1280/9756]	Loss: 0.6387	LR: 0.100000
Training Epoch: 5 [1536/9756]	Loss: 0.6653	LR: 0.100000
Training Epoch: 5 [1792/9756]	Loss: 0.6748	LR: 0.100000
Training Epoch: 5 [2048/9756]	Loss: 0.6252	LR: 0.100000
Training Epoch: 5 [2304/9756]	Loss: 0.6577	LR: 0.100000
Training Epoch: 5 [2560/9756]	Loss: 0.6573	LR: 0.100000
Training Epoch: 5 [2816/9756]	Loss: 0.6580	LR: 0.100000
Training Epoch: 5 [3072/9756]	Loss: 0.6374	LR: 0.100000
Training Epoch: 5 [3328/9756]	Loss: 0.7109	LR: 0.100000
Training Epoch: 5 [3584/9756]	Loss: 0.6444	LR: 0.100000
Training Epoch: 5 [3840/9756]	Loss: 0.6439	LR: 0.100000
Training Epoch: 5 [4096/9756]	Loss: 0.6475	LR: 0.100000
Training Epoch: 5 [4352/9756]	Loss: 0.6629	LR: 0.100000
Training Epoch: 5 [4608/9756]	Loss: 0.6402	LR: 0.100000
Training Epoch: 5 [4864/9756]	Loss: 0.6398	LR: 0.100000
Training Epoch: 5 [5120/9756]	Loss: 0.6466	LR: 0.100000
Training Epoch: 5 [5376/9756]	Loss: 0.6406	LR: 0.100000
Training Epoch: 5 [5632/9756]	Loss: 0.6277	LR: 0.100000
Training Epoch: 5 [5888/9756]	Loss: 0.6885	LR: 0.100000
Training Epoch: 5 [6144/9756]	Loss: 0.6444	LR: 0.100000
Training Epoch: 5 [6400/9756]	Loss: 0.6397	LR: 0.100000
Training Epoch: 5 [6656/9756]	Loss: 0.7038	LR: 0.100000
Training Epoch: 5 [6912/9756]	Loss: 0.6621	LR: 0.100000
Training Epoch: 5 [7168/9756]	Loss: 0.6457	LR: 0.100000
Training Epoch: 5 [7424/9756]	Loss: 0.7625	LR: 0.100000
Training Epoch: 5 [7680/9756]	Loss: 0.6443	LR: 0.100000
Training Epoch: 5 [7936/9756]	Loss: 0.6797	LR: 0.100000
Training Epoch: 5 [8192/9756]	Loss: 0.6642	LR: 0.100000
Training Epoch: 5 [8448/9756]	Loss: 0.6631	LR: 0.100000
Training Epoch: 5 [8704/9756]	Loss: 0.6526	LR: 0.100000
Training Epoch: 5 [8960/9756]	Loss: 0.6583	LR: 0.100000
Training Epoch: 5 [9216/9756]	Loss: 0.6036	LR: 0.100000
Training Epoch: 5 [9472/9756]	Loss: 0.6461	LR: 0.100000
Training Epoch: 5 [9728/9756]	Loss: 0.6296	LR: 0.100000
Training Epoch: 5 [9756/9756]	Loss: 0.5222	LR: 0.100000
Epoch 5 - Average Train Loss: 0.6555, Train Accuracy: 0.6232
Epoch 5 training time consumed: 141.21s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0028, Accuracy: 0.6465, Time consumed:8.09s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-5-best.pth
Training Epoch: 6 [256/9756]	Loss: 0.6720	LR: 0.100000
Training Epoch: 6 [512/9756]	Loss: 0.7082	LR: 0.100000
Training Epoch: 6 [768/9756]	Loss: 0.6021	LR: 0.100000
Training Epoch: 6 [1024/9756]	Loss: 0.6186	LR: 0.100000
Training Epoch: 6 [1280/9756]	Loss: 0.6002	LR: 0.100000
Training Epoch: 6 [1536/9756]	Loss: 0.6174	LR: 0.100000
Training Epoch: 6 [1792/9756]	Loss: 0.6043	LR: 0.100000
Training Epoch: 6 [2048/9756]	Loss: 0.5811	LR: 0.100000
Training Epoch: 6 [2304/9756]	Loss: 0.6498	LR: 0.100000
Training Epoch: 6 [2560/9756]	Loss: 0.6348	LR: 0.100000
Training Epoch: 6 [2816/9756]	Loss: 0.6234	LR: 0.100000
Training Epoch: 6 [3072/9756]	Loss: 0.6414	LR: 0.100000
Training Epoch: 6 [3328/9756]	Loss: 0.6207	LR: 0.100000
Training Epoch: 6 [3584/9756]	Loss: 0.6405	LR: 0.100000
Training Epoch: 6 [3840/9756]	Loss: 0.6047	LR: 0.100000
Training Epoch: 6 [4096/9756]	Loss: 0.6003	LR: 0.100000
Training Epoch: 6 [4352/9756]	Loss: 0.6231	LR: 0.100000
Training Epoch: 6 [4608/9756]	Loss: 0.6439	LR: 0.100000
Training Epoch: 6 [4864/9756]	Loss: 0.6275	LR: 0.100000
Training Epoch: 6 [5120/9756]	Loss: 0.5780	LR: 0.100000
Training Epoch: 6 [5376/9756]	Loss: 0.6837	LR: 0.100000
Training Epoch: 6 [5632/9756]	Loss: 0.5859	LR: 0.100000
Training Epoch: 6 [5888/9756]	Loss: 0.5801	LR: 0.100000
Training Epoch: 6 [6144/9756]	Loss: 0.6133	LR: 0.100000
Training Epoch: 6 [6400/9756]	Loss: 0.5550	LR: 0.100000
Training Epoch: 6 [6656/9756]	Loss: 0.5725	LR: 0.100000
Training Epoch: 6 [6912/9756]	Loss: 0.6795	LR: 0.100000
Training Epoch: 6 [7168/9756]	Loss: 0.5547	LR: 0.100000
Training Epoch: 6 [7424/9756]	Loss: 0.5807	LR: 0.100000
Training Epoch: 6 [7680/9756]	Loss: 0.5730	LR: 0.100000
Training Epoch: 6 [7936/9756]	Loss: 0.6844	LR: 0.100000
Training Epoch: 6 [8192/9756]	Loss: 0.6436	LR: 0.100000
Training Epoch: 6 [8448/9756]	Loss: 0.5692	LR: 0.100000
Training Epoch: 6 [8704/9756]	Loss: 0.6218	LR: 0.100000
Training Epoch: 6 [8960/9756]	Loss: 0.6069	LR: 0.100000
Training Epoch: 6 [9216/9756]	Loss: 0.5887	LR: 0.100000
Training Epoch: 6 [9472/9756]	Loss: 0.5600	LR: 0.100000
Training Epoch: 6 [9728/9756]	Loss: 0.5867	LR: 0.100000
Training Epoch: 6 [9756/9756]	Loss: 0.5381	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6138, Train Accuracy: 0.6736
Epoch 6 training time consumed: 140.99s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7017, Time consumed:8.12s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-6-best.pth
Training Epoch: 7 [256/9756]	Loss: 0.5408	LR: 0.100000
Training Epoch: 7 [512/9756]	Loss: 0.6758	LR: 0.100000
Training Epoch: 7 [768/9756]	Loss: 0.6836	LR: 0.100000
Training Epoch: 7 [1024/9756]	Loss: 0.6430	LR: 0.100000
Training Epoch: 7 [1280/9756]	Loss: 0.6238	LR: 0.100000
Training Epoch: 7 [1536/9756]	Loss: 0.6190	LR: 0.100000
Training Epoch: 7 [1792/9756]	Loss: 0.6019	LR: 0.100000
Training Epoch: 7 [2048/9756]	Loss: 0.5943	LR: 0.100000
Training Epoch: 7 [2304/9756]	Loss: 0.5863	LR: 0.100000
Training Epoch: 7 [2560/9756]	Loss: 0.6206	LR: 0.100000
Training Epoch: 7 [2816/9756]	Loss: 0.5497	LR: 0.100000
Training Epoch: 7 [3072/9756]	Loss: 0.5729	LR: 0.100000
Training Epoch: 7 [3328/9756]	Loss: 0.5984	LR: 0.100000
Training Epoch: 7 [3584/9756]	Loss: 0.6435	LR: 0.100000
Training Epoch: 7 [3840/9756]	Loss: 0.5678	LR: 0.100000
Training Epoch: 7 [4096/9756]	Loss: 0.6036	LR: 0.100000
Training Epoch: 7 [4352/9756]	Loss: 0.5495	LR: 0.100000
Training Epoch: 7 [4608/9756]	Loss: 0.5800	LR: 0.100000
Training Epoch: 7 [4864/9756]	Loss: 0.5542	LR: 0.100000
Training Epoch: 7 [5120/9756]	Loss: 0.5687	LR: 0.100000
Training Epoch: 7 [5376/9756]	Loss: 0.5791	LR: 0.100000
Training Epoch: 7 [5632/9756]	Loss: 0.5510	LR: 0.100000
Training Epoch: 7 [5888/9756]	Loss: 0.5826	LR: 0.100000
Training Epoch: 7 [6144/9756]	Loss: 0.5327	LR: 0.100000
Training Epoch: 7 [6400/9756]	Loss: 0.5570	LR: 0.100000
Training Epoch: 7 [6656/9756]	Loss: 0.5165	LR: 0.100000
Training Epoch: 7 [6912/9756]	Loss: 0.4953	LR: 0.100000
Training Epoch: 7 [7168/9756]	Loss: 0.5191	LR: 0.100000
Training Epoch: 7 [7424/9756]	Loss: 0.5749	LR: 0.100000
Training Epoch: 7 [7680/9756]	Loss: 0.5046	LR: 0.100000
Training Epoch: 7 [7936/9756]	Loss: 0.4804	LR: 0.100000
Training Epoch: 7 [8192/9756]	Loss: 0.5788	LR: 0.100000
Training Epoch: 7 [8448/9756]	Loss: 0.4652	LR: 0.100000
Training Epoch: 7 [8704/9756]	Loss: 0.5346	LR: 0.100000
Training Epoch: 7 [8960/9756]	Loss: 0.4999	LR: 0.100000
Training Epoch: 7 [9216/9756]	Loss: 0.5108	LR: 0.100000
Training Epoch: 7 [9472/9756]	Loss: 0.5072	LR: 0.100000
Training Epoch: 7 [9728/9756]	Loss: 0.5588	LR: 0.100000
Training Epoch: 7 [9756/9756]	Loss: 0.6359	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5667, Train Accuracy: 0.7208
Epoch 7 training time consumed: 144.10s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0045, Accuracy: 0.5521, Time consumed:8.16s
Training Epoch: 8 [256/9756]	Loss: 0.6769	LR: 0.100000
Training Epoch: 8 [512/9756]	Loss: 0.7025	LR: 0.100000
Training Epoch: 8 [768/9756]	Loss: 0.6238	LR: 0.100000
Training Epoch: 8 [1024/9756]	Loss: 0.5196	LR: 0.100000
Training Epoch: 8 [1280/9756]	Loss: 0.6388	LR: 0.100000
Training Epoch: 8 [1536/9756]	Loss: 0.6026	LR: 0.100000
Training Epoch: 8 [1792/9756]	Loss: 0.6122	LR: 0.100000
Training Epoch: 8 [2048/9756]	Loss: 0.4999	LR: 0.100000
Training Epoch: 8 [2304/9756]	Loss: 0.5179	LR: 0.100000
Training Epoch: 8 [2560/9756]	Loss: 0.5382	LR: 0.100000
Training Epoch: 8 [2816/9756]	Loss: 0.5926	LR: 0.100000
Training Epoch: 8 [3072/9756]	Loss: 0.5617	LR: 0.100000
Training Epoch: 8 [3328/9756]	Loss: 0.5029	LR: 0.100000
Training Epoch: 8 [3584/9756]	Loss: 0.4686	LR: 0.100000
Training Epoch: 8 [3840/9756]	Loss: 0.5273	LR: 0.100000
Training Epoch: 8 [4096/9756]	Loss: 0.5674	LR: 0.100000
Training Epoch: 8 [4352/9756]	Loss: 0.4744	LR: 0.100000
Training Epoch: 8 [4608/9756]	Loss: 0.4947	LR: 0.100000
Training Epoch: 8 [4864/9756]	Loss: 0.5015	LR: 0.100000
Training Epoch: 8 [5120/9756]	Loss: 0.4725	LR: 0.100000
Training Epoch: 8 [5376/9756]	Loss: 0.4866	LR: 0.100000
Training Epoch: 8 [5632/9756]	Loss: 0.4665	LR: 0.100000
Training Epoch: 8 [5888/9756]	Loss: 0.4861	LR: 0.100000
Training Epoch: 8 [6144/9756]	Loss: 0.4638	LR: 0.100000
Training Epoch: 8 [6400/9756]	Loss: 0.4816	LR: 0.100000
Training Epoch: 8 [6656/9756]	Loss: 0.4830	LR: 0.100000
Training Epoch: 8 [6912/9756]	Loss: 0.4507	LR: 0.100000
Training Epoch: 8 [7168/9756]	Loss: 0.4548	LR: 0.100000
Training Epoch: 8 [7424/9756]	Loss: 0.4712	LR: 0.100000
Training Epoch: 8 [7680/9756]	Loss: 0.4741	LR: 0.100000
Training Epoch: 8 [7936/9756]	Loss: 0.4233	LR: 0.100000
Training Epoch: 8 [8192/9756]	Loss: 0.3457	LR: 0.100000
Training Epoch: 8 [8448/9756]	Loss: 0.4348	LR: 0.100000
Training Epoch: 8 [8704/9756]	Loss: 0.4181	LR: 0.100000
Training Epoch: 8 [8960/9756]	Loss: 0.5051	LR: 0.100000
Training Epoch: 8 [9216/9756]	Loss: 0.4146	LR: 0.100000
Training Epoch: 8 [9472/9756]	Loss: 0.4258	LR: 0.100000
Training Epoch: 8 [9728/9756]	Loss: 0.4155	LR: 0.100000
Training Epoch: 8 [9756/9756]	Loss: 0.3702	LR: 0.100000
Epoch 8 - Average Train Loss: 0.5048, Train Accuracy: 0.7578
Epoch 8 training time consumed: 145.72s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.7714, Time consumed:8.61s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-8-best.pth
Training Epoch: 9 [256/9756]	Loss: 0.5164	LR: 0.100000
Training Epoch: 9 [512/9756]	Loss: 0.4169	LR: 0.100000
Training Epoch: 9 [768/9756]	Loss: 0.4884	LR: 0.100000
Training Epoch: 9 [1024/9756]	Loss: 0.3956	LR: 0.100000
Training Epoch: 9 [1280/9756]	Loss: 0.4001	LR: 0.100000
Training Epoch: 9 [1536/9756]	Loss: 0.4759	LR: 0.100000
Training Epoch: 9 [1792/9756]	Loss: 0.4046	LR: 0.100000
Training Epoch: 9 [2048/9756]	Loss: 0.4302	LR: 0.100000
Training Epoch: 9 [2304/9756]	Loss: 0.4107	LR: 0.100000
Training Epoch: 9 [2560/9756]	Loss: 0.4570	LR: 0.100000
Training Epoch: 9 [2816/9756]	Loss: 0.4043	LR: 0.100000
Training Epoch: 9 [3072/9756]	Loss: 0.4273	LR: 0.100000
Training Epoch: 9 [3328/9756]	Loss: 0.4088	LR: 0.100000
Training Epoch: 9 [3584/9756]	Loss: 0.3843	LR: 0.100000
Training Epoch: 9 [3840/9756]	Loss: 0.3752	LR: 0.100000
Training Epoch: 9 [4096/9756]	Loss: 0.4436	LR: 0.100000
Training Epoch: 9 [4352/9756]	Loss: 0.3613	LR: 0.100000
Training Epoch: 9 [4608/9756]	Loss: 0.4750	LR: 0.100000
Training Epoch: 9 [4864/9756]	Loss: 0.4230	LR: 0.100000
Training Epoch: 9 [5120/9756]	Loss: 0.3895	LR: 0.100000
Training Epoch: 9 [5376/9756]	Loss: 0.3932	LR: 0.100000
Training Epoch: 9 [5632/9756]	Loss: 0.4191	LR: 0.100000
Training Epoch: 9 [5888/9756]	Loss: 0.3712	LR: 0.100000
Training Epoch: 9 [6144/9756]	Loss: 0.3744	LR: 0.100000
Training Epoch: 9 [6400/9756]	Loss: 0.4267	LR: 0.100000
Training Epoch: 9 [6656/9756]	Loss: 0.4948	LR: 0.100000
Training Epoch: 9 [6912/9756]	Loss: 0.3440	LR: 0.100000
Training Epoch: 9 [7168/9756]	Loss: 0.3272	LR: 0.100000
Training Epoch: 9 [7424/9756]	Loss: 0.3944	LR: 0.100000
Training Epoch: 9 [7680/9756]	Loss: 0.3695	LR: 0.100000
Training Epoch: 9 [7936/9756]	Loss: 0.3860	LR: 0.100000
Training Epoch: 9 [8192/9756]	Loss: 0.3461	LR: 0.100000
Training Epoch: 9 [8448/9756]	Loss: 0.3582	LR: 0.100000
Training Epoch: 9 [8704/9756]	Loss: 0.3655	LR: 0.100000
Training Epoch: 9 [8960/9756]	Loss: 0.3466	LR: 0.100000
Training Epoch: 9 [9216/9756]	Loss: 0.4150	LR: 0.100000
Training Epoch: 9 [9472/9756]	Loss: 0.2852	LR: 0.100000
Training Epoch: 9 [9728/9756]	Loss: 0.4087	LR: 0.100000
Training Epoch: 9 [9756/9756]	Loss: 0.4041	LR: 0.100000
Epoch 9 - Average Train Loss: 0.4030, Train Accuracy: 0.8231
Epoch 9 training time consumed: 147.64s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.6833, Time consumed:8.27s
Training Epoch: 10 [256/9756]	Loss: 0.4651	LR: 0.020000
Training Epoch: 10 [512/9756]	Loss: 0.4553	LR: 0.020000
Training Epoch: 10 [768/9756]	Loss: 0.4084	LR: 0.020000
Training Epoch: 10 [1024/9756]	Loss: 0.3883	LR: 0.020000
Training Epoch: 10 [1280/9756]	Loss: 0.3754	LR: 0.020000
Training Epoch: 10 [1536/9756]	Loss: 0.4191	LR: 0.020000
Training Epoch: 10 [1792/9756]	Loss: 0.4135	LR: 0.020000
Training Epoch: 10 [2048/9756]	Loss: 0.2922	LR: 0.020000
Training Epoch: 10 [2304/9756]	Loss: 0.3801	LR: 0.020000
Training Epoch: 10 [2560/9756]	Loss: 0.4187	LR: 0.020000
Training Epoch: 10 [2816/9756]	Loss: 0.4033	LR: 0.020000
Training Epoch: 10 [3072/9756]	Loss: 0.3359	LR: 0.020000
Training Epoch: 10 [3328/9756]	Loss: 0.3600	LR: 0.020000
Training Epoch: 10 [3584/9756]	Loss: 0.3233	LR: 0.020000
Training Epoch: 10 [3840/9756]	Loss: 0.3651	LR: 0.020000
Training Epoch: 10 [4096/9756]	Loss: 0.3928	LR: 0.020000
Training Epoch: 10 [4352/9756]	Loss: 0.3483	LR: 0.020000
Training Epoch: 10 [4608/9756]	Loss: 0.3182	LR: 0.020000
Training Epoch: 10 [4864/9756]	Loss: 0.3332	LR: 0.020000
Training Epoch: 10 [5120/9756]	Loss: 0.3923	LR: 0.020000
Training Epoch: 10 [5376/9756]	Loss: 0.3161	LR: 0.020000
Training Epoch: 10 [5632/9756]	Loss: 0.3292	LR: 0.020000
Training Epoch: 10 [5888/9756]	Loss: 0.3137	LR: 0.020000
Training Epoch: 10 [6144/9756]	Loss: 0.3241	LR: 0.020000
Training Epoch: 10 [6400/9756]	Loss: 0.3163	LR: 0.020000
Training Epoch: 10 [6656/9756]	Loss: 0.3430	LR: 0.020000
Training Epoch: 10 [6912/9756]	Loss: 0.2922	LR: 0.020000
Training Epoch: 10 [7168/9756]	Loss: 0.3040	LR: 0.020000
Training Epoch: 10 [7424/9756]	Loss: 0.3493	LR: 0.020000
Training Epoch: 10 [7680/9756]	Loss: 0.3308	LR: 0.020000
Training Epoch: 10 [7936/9756]	Loss: 0.3025	LR: 0.020000
Training Epoch: 10 [8192/9756]	Loss: 0.2936	LR: 0.020000
Training Epoch: 10 [8448/9756]	Loss: 0.3243	LR: 0.020000
Training Epoch: 10 [8704/9756]	Loss: 0.2942	LR: 0.020000
Training Epoch: 10 [8960/9756]	Loss: 0.2745	LR: 0.020000
Training Epoch: 10 [9216/9756]	Loss: 0.2437	LR: 0.020000
Training Epoch: 10 [9472/9756]	Loss: 0.2775	LR: 0.020000
Training Epoch: 10 [9728/9756]	Loss: 0.3116	LR: 0.020000
Training Epoch: 10 [9756/9756]	Loss: 0.4428	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3458, Train Accuracy: 0.8538
Epoch 10 training time consumed: 145.78s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8397, Time consumed:8.21s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-10-best.pth
Training Epoch: 11 [256/9756]	Loss: 0.2616	LR: 0.020000
Training Epoch: 11 [512/9756]	Loss: 0.3491	LR: 0.020000
Training Epoch: 11 [768/9756]	Loss: 0.3496	LR: 0.020000
Training Epoch: 11 [1024/9756]	Loss: 0.3511	LR: 0.020000
Training Epoch: 11 [1280/9756]	Loss: 0.4142	LR: 0.020000
Training Epoch: 11 [1536/9756]	Loss: 0.2929	LR: 0.020000
Training Epoch: 11 [1792/9756]	Loss: 0.2827	LR: 0.020000
Training Epoch: 11 [2048/9756]	Loss: 0.2903	LR: 0.020000
Training Epoch: 11 [2304/9756]	Loss: 0.3012	LR: 0.020000
Training Epoch: 11 [2560/9756]	Loss: 0.3142	LR: 0.020000
Training Epoch: 11 [2816/9756]	Loss: 0.3278	LR: 0.020000
Training Epoch: 11 [3072/9756]	Loss: 0.3069	LR: 0.020000
Training Epoch: 11 [3328/9756]	Loss: 0.2951	LR: 0.020000
Training Epoch: 11 [3584/9756]	Loss: 0.2529	LR: 0.020000
Training Epoch: 11 [3840/9756]	Loss: 0.2735	LR: 0.020000
Training Epoch: 11 [4096/9756]	Loss: 0.3072	LR: 0.020000
Training Epoch: 11 [4352/9756]	Loss: 0.2428	LR: 0.020000
Training Epoch: 11 [4608/9756]	Loss: 0.3050	LR: 0.020000
Training Epoch: 11 [4864/9756]	Loss: 0.3648	LR: 0.020000
Training Epoch: 11 [5120/9756]	Loss: 0.2600	LR: 0.020000
Training Epoch: 11 [5376/9756]	Loss: 0.3444	LR: 0.020000
Training Epoch: 11 [5632/9756]	Loss: 0.2824	LR: 0.020000
Training Epoch: 11 [5888/9756]	Loss: 0.3444	LR: 0.020000
Training Epoch: 11 [6144/9756]	Loss: 0.2239	LR: 0.020000
Training Epoch: 11 [6400/9756]	Loss: 0.2994	LR: 0.020000
Training Epoch: 11 [6656/9756]	Loss: 0.3569	LR: 0.020000
Training Epoch: 11 [6912/9756]	Loss: 0.3230	LR: 0.020000
Training Epoch: 11 [7168/9756]	Loss: 0.3136	LR: 0.020000
Training Epoch: 11 [7424/9756]	Loss: 0.2737	LR: 0.020000
Training Epoch: 11 [7680/9756]	Loss: 0.2339	LR: 0.020000
Training Epoch: 11 [7936/9756]	Loss: 0.3213	LR: 0.020000
Training Epoch: 11 [8192/9756]	Loss: 0.3182	LR: 0.020000
Training Epoch: 11 [8448/9756]	Loss: 0.2673	LR: 0.020000
Training Epoch: 11 [8704/9756]	Loss: 0.3019	LR: 0.020000
Training Epoch: 11 [8960/9756]	Loss: 0.2458	LR: 0.020000
Training Epoch: 11 [9216/9756]	Loss: 0.2413	LR: 0.020000
Training Epoch: 11 [9472/9756]	Loss: 0.2663	LR: 0.020000
Training Epoch: 11 [9728/9756]	Loss: 0.2466	LR: 0.020000
Training Epoch: 11 [9756/9756]	Loss: 0.1421	LR: 0.020000
Epoch 11 - Average Train Loss: 0.2982, Train Accuracy: 0.8752
Epoch 11 training time consumed: 145.76s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0011, Accuracy: 0.9065, Time consumed:8.11s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-11-best.pth
Training Epoch: 12 [256/9756]	Loss: 0.2428	LR: 0.020000
Training Epoch: 12 [512/9756]	Loss: 0.2298	LR: 0.020000
Training Epoch: 12 [768/9756]	Loss: 0.2943	LR: 0.020000
Training Epoch: 12 [1024/9756]	Loss: 0.2375	LR: 0.020000
Training Epoch: 12 [1280/9756]	Loss: 0.2635	LR: 0.020000
Training Epoch: 12 [1536/9756]	Loss: 0.2727	LR: 0.020000
Training Epoch: 12 [1792/9756]	Loss: 0.1786	LR: 0.020000
Training Epoch: 12 [2048/9756]	Loss: 0.2824	LR: 0.020000
Training Epoch: 12 [2304/9756]	Loss: 0.2520	LR: 0.020000
Training Epoch: 12 [2560/9756]	Loss: 0.2490	LR: 0.020000
Training Epoch: 12 [2816/9756]	Loss: 0.2240	LR: 0.020000
Training Epoch: 12 [3072/9756]	Loss: 0.2086	LR: 0.020000
Training Epoch: 12 [3328/9756]	Loss: 0.2530	LR: 0.020000
Training Epoch: 12 [3584/9756]	Loss: 0.2747	LR: 0.020000
Training Epoch: 12 [3840/9756]	Loss: 0.2568	LR: 0.020000
Training Epoch: 12 [4096/9756]	Loss: 0.2415	LR: 0.020000
Training Epoch: 12 [4352/9756]	Loss: 0.3073	LR: 0.020000
Training Epoch: 12 [4608/9756]	Loss: 0.2489	LR: 0.020000
Training Epoch: 12 [4864/9756]	Loss: 0.2375	LR: 0.020000
Training Epoch: 12 [5120/9756]	Loss: 0.1818	LR: 0.020000
Training Epoch: 12 [5376/9756]	Loss: 0.2966	LR: 0.020000
Training Epoch: 12 [5632/9756]	Loss: 0.2839	LR: 0.020000
Training Epoch: 12 [5888/9756]	Loss: 0.2075	LR: 0.020000
Training Epoch: 12 [6144/9756]	Loss: 0.2633	LR: 0.020000
Training Epoch: 12 [6400/9756]	Loss: 0.2844	LR: 0.020000
Training Epoch: 12 [6656/9756]	Loss: 0.2351	LR: 0.020000
Training Epoch: 12 [6912/9756]	Loss: 0.2203	LR: 0.020000
Training Epoch: 12 [7168/9756]	Loss: 0.2539	LR: 0.020000
Training Epoch: 12 [7424/9756]	Loss: 0.2998	LR: 0.020000
Training Epoch: 12 [7680/9756]	Loss: 0.3075	LR: 0.020000
Training Epoch: 12 [7936/9756]	Loss: 0.2525	LR: 0.020000
Training Epoch: 12 [8192/9756]	Loss: 0.2347	LR: 0.020000
Training Epoch: 12 [8448/9756]	Loss: 0.2375	LR: 0.020000
Training Epoch: 12 [8704/9756]	Loss: 0.3490	LR: 0.020000
Training Epoch: 12 [8960/9756]	Loss: 0.3615	LR: 0.020000
Training Epoch: 12 [9216/9756]	Loss: 0.3160	LR: 0.020000
Training Epoch: 12 [9472/9756]	Loss: 0.2009	LR: 0.020000
Training Epoch: 12 [9728/9756]	Loss: 0.2680	LR: 0.020000
Training Epoch: 12 [9756/9756]	Loss: 0.5323	LR: 0.020000
Epoch 12 - Average Train Loss: 0.2589, Train Accuracy: 0.8928
Epoch 12 training time consumed: 147.41s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0031, Accuracy: 0.7496, Time consumed:8.49s
Training Epoch: 13 [256/9756]	Loss: 0.2998	LR: 0.020000
Training Epoch: 13 [512/9756]	Loss: 0.3017	LR: 0.020000
Training Epoch: 13 [768/9756]	Loss: 0.3099	LR: 0.020000
Training Epoch: 13 [1024/9756]	Loss: 0.2254	LR: 0.020000
Training Epoch: 13 [1280/9756]	Loss: 0.3563	LR: 0.020000
Training Epoch: 13 [1536/9756]	Loss: 0.3312	LR: 0.020000
Training Epoch: 13 [1792/9756]	Loss: 0.3792	LR: 0.020000
Training Epoch: 13 [2048/9756]	Loss: 0.2888	LR: 0.020000
Training Epoch: 13 [2304/9756]	Loss: 0.3447	LR: 0.020000
Training Epoch: 13 [2560/9756]	Loss: 0.3274	LR: 0.020000
Training Epoch: 13 [2816/9756]	Loss: 0.3135	LR: 0.020000
Training Epoch: 13 [3072/9756]	Loss: 0.2566	LR: 0.020000
Training Epoch: 13 [3328/9756]	Loss: 0.2528	LR: 0.020000
Training Epoch: 13 [3584/9756]	Loss: 0.2931	LR: 0.020000
Training Epoch: 13 [3840/9756]	Loss: 0.2474	LR: 0.020000
Training Epoch: 13 [4096/9756]	Loss: 0.2508	LR: 0.020000
Training Epoch: 13 [4352/9756]	Loss: 0.2920	LR: 0.020000
Training Epoch: 13 [4608/9756]	Loss: 0.2826	LR: 0.020000
Training Epoch: 13 [4864/9756]	Loss: 0.2229	LR: 0.020000
Training Epoch: 13 [5120/9756]	Loss: 0.2568	LR: 0.020000
Training Epoch: 13 [5376/9756]	Loss: 0.3148	LR: 0.020000
Training Epoch: 13 [5632/9756]	Loss: 0.2548	LR: 0.020000
Training Epoch: 13 [5888/9756]	Loss: 0.2389	LR: 0.020000
Training Epoch: 13 [6144/9756]	Loss: 0.3081	LR: 0.020000
Training Epoch: 13 [6400/9756]	Loss: 0.2998	LR: 0.020000
Training Epoch: 13 [6656/9756]	Loss: 0.2855	LR: 0.020000
Training Epoch: 13 [6912/9756]	Loss: 0.2742	LR: 0.020000
Training Epoch: 13 [7168/9756]	Loss: 0.2260	LR: 0.020000
Training Epoch: 13 [7424/9756]	Loss: 0.2321	LR: 0.020000
Training Epoch: 13 [7680/9756]	Loss: 0.2415	LR: 0.020000
Training Epoch: 13 [7936/9756]	Loss: 0.2555	LR: 0.020000
Training Epoch: 13 [8192/9756]	Loss: 0.1799	LR: 0.020000
Training Epoch: 13 [8448/9756]	Loss: 0.1761	LR: 0.020000
Training Epoch: 13 [8704/9756]	Loss: 0.2419	LR: 0.020000
Training Epoch: 13 [8960/9756]	Loss: 0.1844	LR: 0.020000
Training Epoch: 13 [9216/9756]	Loss: 0.2507	LR: 0.020000
Training Epoch: 13 [9472/9756]	Loss: 0.2701	LR: 0.020000
Training Epoch: 13 [9728/9756]	Loss: 0.1748	LR: 0.020000
Training Epoch: 13 [9756/9756]	Loss: 0.5117	LR: 0.020000
Epoch 13 - Average Train Loss: 0.2702, Train Accuracy: 0.8905
Epoch 13 training time consumed: 148.63s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8881, Time consumed:8.39s
Training Epoch: 14 [256/9756]	Loss: 0.1892	LR: 0.020000
Training Epoch: 14 [512/9756]	Loss: 0.2595	LR: 0.020000
Training Epoch: 14 [768/9756]	Loss: 0.2256	LR: 0.020000
Training Epoch: 14 [1024/9756]	Loss: 0.3181	LR: 0.020000
Training Epoch: 14 [1280/9756]	Loss: 0.2937	LR: 0.020000
Training Epoch: 14 [1536/9756]	Loss: 0.3401	LR: 0.020000
Training Epoch: 14 [1792/9756]	Loss: 0.2594	LR: 0.020000
Training Epoch: 14 [2048/9756]	Loss: 0.2361	LR: 0.020000
Training Epoch: 14 [2304/9756]	Loss: 0.2205	LR: 0.020000
Training Epoch: 14 [2560/9756]	Loss: 0.2773	LR: 0.020000
Training Epoch: 14 [2816/9756]	Loss: 0.2454	LR: 0.020000
Training Epoch: 14 [3072/9756]	Loss: 0.3160	LR: 0.020000
Training Epoch: 14 [3328/9756]	Loss: 0.2609	LR: 0.020000
Training Epoch: 14 [3584/9756]	Loss: 0.2083	LR: 0.020000
Training Epoch: 14 [3840/9756]	Loss: 0.3024	LR: 0.020000
Training Epoch: 14 [4096/9756]	Loss: 0.2281	LR: 0.020000
Training Epoch: 14 [4352/9756]	Loss: 0.2126	LR: 0.020000
Training Epoch: 14 [4608/9756]	Loss: 0.2689	LR: 0.020000
Training Epoch: 14 [4864/9756]	Loss: 0.2040	LR: 0.020000
Training Epoch: 14 [5120/9756]	Loss: 0.2044	LR: 0.020000
Training Epoch: 14 [5376/9756]	Loss: 0.2370	LR: 0.020000
Training Epoch: 14 [5632/9756]	Loss: 0.1999	LR: 0.020000
Training Epoch: 14 [5888/9756]	Loss: 0.1709	LR: 0.020000
Training Epoch: 14 [6144/9756]	Loss: 0.2591	LR: 0.020000
Training Epoch: 14 [6400/9756]	Loss: 0.2284	LR: 0.020000
Training Epoch: 14 [6656/9756]	Loss: 0.2340	LR: 0.020000
Training Epoch: 14 [6912/9756]	Loss: 0.2398	LR: 0.020000
Training Epoch: 14 [7168/9756]	Loss: 0.2672	LR: 0.020000
Training Epoch: 14 [7424/9756]	Loss: 0.1702	LR: 0.020000
Training Epoch: 14 [7680/9756]	Loss: 0.1750	LR: 0.020000
Training Epoch: 14 [7936/9756]	Loss: 0.1782	LR: 0.020000
Training Epoch: 14 [8192/9756]	Loss: 0.2705	LR: 0.020000
Training Epoch: 14 [8448/9756]	Loss: 0.1610	LR: 0.020000
Training Epoch: 14 [8704/9756]	Loss: 0.2825	LR: 0.020000
Training Epoch: 14 [8960/9756]	Loss: 0.1766	LR: 0.020000
Training Epoch: 14 [9216/9756]	Loss: 0.2743	LR: 0.020000
Training Epoch: 14 [9472/9756]	Loss: 0.2276	LR: 0.020000
Training Epoch: 14 [9728/9756]	Loss: 0.2323	LR: 0.020000
Training Epoch: 14 [9756/9756]	Loss: 0.1436	LR: 0.020000
Epoch 14 - Average Train Loss: 0.2380, Train Accuracy: 0.9019
Epoch 14 training time consumed: 148.44s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0008, Accuracy: 0.9182, Time consumed:8.24s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-14-best.pth
Training Epoch: 15 [256/9756]	Loss: 0.2123	LR: 0.020000
Training Epoch: 15 [512/9756]	Loss: 0.1845	LR: 0.020000
Training Epoch: 15 [768/9756]	Loss: 0.2348	LR: 0.020000
Training Epoch: 15 [1024/9756]	Loss: 0.2214	LR: 0.020000
Training Epoch: 15 [1280/9756]	Loss: 0.1529	LR: 0.020000
Training Epoch: 15 [1536/9756]	Loss: 0.2312	LR: 0.020000
Training Epoch: 15 [1792/9756]	Loss: 0.2092	LR: 0.020000
Training Epoch: 15 [2048/9756]	Loss: 0.1989	LR: 0.020000
Training Epoch: 15 [2304/9756]	Loss: 0.2661	LR: 0.020000
Training Epoch: 15 [2560/9756]	Loss: 0.2102	LR: 0.020000
Training Epoch: 15 [2816/9756]	Loss: 0.2288	LR: 0.020000
Training Epoch: 15 [3072/9756]	Loss: 0.2330	LR: 0.020000
Training Epoch: 15 [3328/9756]	Loss: 0.1976	LR: 0.020000
Training Epoch: 15 [3584/9756]	Loss: 0.2514	LR: 0.020000
Training Epoch: 15 [3840/9756]	Loss: 0.2305	LR: 0.020000
Training Epoch: 15 [4096/9756]	Loss: 0.1869	LR: 0.020000
Training Epoch: 15 [4352/9756]	Loss: 0.2531	LR: 0.020000
Training Epoch: 15 [4608/9756]	Loss: 0.2685	LR: 0.020000
Training Epoch: 15 [4864/9756]	Loss: 0.1760	LR: 0.020000
Training Epoch: 15 [5120/9756]	Loss: 0.2631	LR: 0.020000
Training Epoch: 15 [5376/9756]	Loss: 0.2013	LR: 0.020000
Training Epoch: 15 [5632/9756]	Loss: 0.1826	LR: 0.020000
Training Epoch: 15 [5888/9756]	Loss: 0.2488	LR: 0.020000
Training Epoch: 15 [6144/9756]	Loss: 0.1966	LR: 0.020000
Training Epoch: 15 [6400/9756]	Loss: 0.2265	LR: 0.020000
Training Epoch: 15 [6656/9756]	Loss: 0.1795	LR: 0.020000
Training Epoch: 15 [6912/9756]	Loss: 0.1968	LR: 0.020000
Training Epoch: 15 [7168/9756]	Loss: 0.2160	LR: 0.020000
Training Epoch: 15 [7424/9756]	Loss: 0.2143	LR: 0.020000
Training Epoch: 15 [7680/9756]	Loss: 0.1447	LR: 0.020000
Training Epoch: 15 [7936/9756]	Loss: 0.2423	LR: 0.020000
Training Epoch: 15 [8192/9756]	Loss: 0.2482	LR: 0.020000
Training Epoch: 15 [8448/9756]	Loss: 0.2795	LR: 0.020000
Training Epoch: 15 [8704/9756]	Loss: 0.1819	LR: 0.020000
Training Epoch: 15 [8960/9756]	Loss: 0.1929	LR: 0.020000
Training Epoch: 15 [9216/9756]	Loss: 0.1899	LR: 0.020000
Training Epoch: 15 [9472/9756]	Loss: 0.1985	LR: 0.020000
Training Epoch: 15 [9728/9756]	Loss: 0.2726	LR: 0.020000
Training Epoch: 15 [9756/9756]	Loss: 0.4720	LR: 0.020000
Epoch 15 - Average Train Loss: 0.2171, Train Accuracy: 0.9110
Epoch 15 training time consumed: 148.71s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0011, Accuracy: 0.8964, Time consumed:8.16s
Training Epoch: 16 [256/9756]	Loss: 0.1915	LR: 0.020000
Training Epoch: 16 [512/9756]	Loss: 0.2664	LR: 0.020000
Training Epoch: 16 [768/9756]	Loss: 0.2595	LR: 0.020000
Training Epoch: 16 [1024/9756]	Loss: 0.3263	LR: 0.020000
Training Epoch: 16 [1280/9756]	Loss: 0.2814	LR: 0.020000
Training Epoch: 16 [1536/9756]	Loss: 0.2567	LR: 0.020000
Training Epoch: 16 [1792/9756]	Loss: 0.2774	LR: 0.020000
Training Epoch: 16 [2048/9756]	Loss: 0.2478	LR: 0.020000
Training Epoch: 16 [2304/9756]	Loss: 0.2431	LR: 0.020000
Training Epoch: 16 [2560/9756]	Loss: 0.2605	LR: 0.020000
Training Epoch: 16 [2816/9756]	Loss: 0.2008	LR: 0.020000
Training Epoch: 16 [3072/9756]	Loss: 0.2929	LR: 0.020000
Training Epoch: 16 [3328/9756]	Loss: 0.2510	LR: 0.020000
Training Epoch: 16 [3584/9756]	Loss: 0.2026	LR: 0.020000
Training Epoch: 16 [3840/9756]	Loss: 0.2259	LR: 0.020000
Training Epoch: 16 [4096/9756]	Loss: 0.2242	LR: 0.020000
Training Epoch: 16 [4352/9756]	Loss: 0.2244	LR: 0.020000
Training Epoch: 16 [4608/9756]	Loss: 0.2537	LR: 0.020000
Training Epoch: 16 [4864/9756]	Loss: 0.2055	LR: 0.020000
Training Epoch: 16 [5120/9756]	Loss: 0.1849	LR: 0.020000
Training Epoch: 16 [5376/9756]	Loss: 0.2008	LR: 0.020000
Training Epoch: 16 [5632/9756]	Loss: 0.1728	LR: 0.020000
Training Epoch: 16 [5888/9756]	Loss: 0.2111	LR: 0.020000
Training Epoch: 16 [6144/9756]	Loss: 0.1688	LR: 0.020000
Training Epoch: 16 [6400/9756]	Loss: 0.1922	LR: 0.020000
Training Epoch: 16 [6656/9756]	Loss: 0.1730	LR: 0.020000
Training Epoch: 16 [6912/9756]	Loss: 0.1636	LR: 0.020000
Training Epoch: 16 [7168/9756]	Loss: 0.2003	LR: 0.020000
Training Epoch: 16 [7424/9756]	Loss: 0.2278	LR: 0.020000
Training Epoch: 16 [7680/9756]	Loss: 0.1661	LR: 0.020000
Training Epoch: 16 [7936/9756]	Loss: 0.2111	LR: 0.020000
Training Epoch: 16 [8192/9756]	Loss: 0.2611	LR: 0.020000
Training Epoch: 16 [8448/9756]	Loss: 0.2742	LR: 0.020000
Training Epoch: 16 [8704/9756]	Loss: 0.1410	LR: 0.020000
Training Epoch: 16 [8960/9756]	Loss: 0.1916	LR: 0.020000
Training Epoch: 16 [9216/9756]	Loss: 0.2723	LR: 0.020000
Training Epoch: 16 [9472/9756]	Loss: 0.2143	LR: 0.020000
Training Epoch: 16 [9728/9756]	Loss: 0.2422	LR: 0.020000
Training Epoch: 16 [9756/9756]	Loss: 0.2977	LR: 0.020000
Epoch 16 - Average Train Loss: 0.2255, Train Accuracy: 0.9075
Epoch 16 training time consumed: 148.51s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0008, Accuracy: 0.9182, Time consumed:8.15s
Training Epoch: 17 [256/9756]	Loss: 0.2438	LR: 0.020000
Training Epoch: 17 [512/9756]	Loss: 0.1946	LR: 0.020000
Training Epoch: 17 [768/9756]	Loss: 0.2104	LR: 0.020000
Training Epoch: 17 [1024/9756]	Loss: 0.1661	LR: 0.020000
Training Epoch: 17 [1280/9756]	Loss: 0.1876	LR: 0.020000
Training Epoch: 17 [1536/9756]	Loss: 0.2068	LR: 0.020000
Training Epoch: 17 [1792/9756]	Loss: 0.2301	LR: 0.020000
Training Epoch: 17 [2048/9756]	Loss: 0.1928	LR: 0.020000
Training Epoch: 17 [2304/9756]	Loss: 0.1339	LR: 0.020000
Training Epoch: 17 [2560/9756]	Loss: 0.1712	LR: 0.020000
Training Epoch: 17 [2816/9756]	Loss: 0.2118	LR: 0.020000
Training Epoch: 17 [3072/9756]	Loss: 0.1697	LR: 0.020000
Training Epoch: 17 [3328/9756]	Loss: 0.1971	LR: 0.020000
Training Epoch: 17 [3584/9756]	Loss: 0.2234	LR: 0.020000
Training Epoch: 17 [3840/9756]	Loss: 0.2012	LR: 0.020000
Training Epoch: 17 [4096/9756]	Loss: 0.2148	LR: 0.020000
Training Epoch: 17 [4352/9756]	Loss: 0.1772	LR: 0.020000
Training Epoch: 17 [4608/9756]	Loss: 0.1690	LR: 0.020000
Training Epoch: 17 [4864/9756]	Loss: 0.2079	LR: 0.020000
Training Epoch: 17 [5120/9756]	Loss: 0.2077	LR: 0.020000
Training Epoch: 17 [5376/9756]	Loss: 0.2215	LR: 0.020000
Training Epoch: 17 [5632/9756]	Loss: 0.2507	LR: 0.020000
Training Epoch: 17 [5888/9756]	Loss: 0.2156	LR: 0.020000
Training Epoch: 17 [6144/9756]	Loss: 0.1411	LR: 0.020000
Training Epoch: 17 [6400/9756]	Loss: 0.1785	LR: 0.020000
Training Epoch: 17 [6656/9756]	Loss: 0.1647	LR: 0.020000
Training Epoch: 17 [6912/9756]	Loss: 0.1716	LR: 0.020000
Training Epoch: 17 [7168/9756]	Loss: 0.2395	LR: 0.020000
Training Epoch: 17 [7424/9756]	Loss: 0.2370	LR: 0.020000
Training Epoch: 17 [7680/9756]	Loss: 0.2217	LR: 0.020000
Training Epoch: 17 [7936/9756]	Loss: 0.1921	LR: 0.020000
Training Epoch: 17 [8192/9756]	Loss: 0.2532	LR: 0.020000
Training Epoch: 17 [8448/9756]	Loss: 0.2603	LR: 0.020000
Training Epoch: 17 [8704/9756]	Loss: 0.2271	LR: 0.020000
Training Epoch: 17 [8960/9756]	Loss: 0.1219	LR: 0.020000
Training Epoch: 17 [9216/9756]	Loss: 0.1698	LR: 0.020000
Training Epoch: 17 [9472/9756]	Loss: 0.2017	LR: 0.020000
Training Epoch: 17 [9728/9756]	Loss: 0.1334	LR: 0.020000
Training Epoch: 17 [9756/9756]	Loss: 0.1885	LR: 0.020000
Epoch 17 - Average Train Loss: 0.1978, Train Accuracy: 0.9184
Epoch 17 training time consumed: 148.83s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0017, Accuracy: 0.8402, Time consumed:8.14s
Training Epoch: 18 [256/9756]	Loss: 0.2525	LR: 0.020000
Training Epoch: 18 [512/9756]	Loss: 0.2262	LR: 0.020000
Training Epoch: 18 [768/9756]	Loss: 0.2177	LR: 0.020000
Training Epoch: 18 [1024/9756]	Loss: 0.2085	LR: 0.020000
Training Epoch: 18 [1280/9756]	Loss: 0.2154	LR: 0.020000
Training Epoch: 18 [1536/9756]	Loss: 0.1825	LR: 0.020000
Training Epoch: 18 [1792/9756]	Loss: 0.1904	LR: 0.020000
Training Epoch: 18 [2048/9756]	Loss: 0.2201	LR: 0.020000
Training Epoch: 18 [2304/9756]	Loss: 0.1995	LR: 0.020000
Training Epoch: 18 [2560/9756]	Loss: 0.1551	LR: 0.020000
Training Epoch: 18 [2816/9756]	Loss: 0.2948	LR: 0.020000
Training Epoch: 18 [3072/9756]	Loss: 0.2096	LR: 0.020000
Training Epoch: 18 [3328/9756]	Loss: 0.2016	LR: 0.020000
Training Epoch: 18 [3584/9756]	Loss: 0.1965	LR: 0.020000
Training Epoch: 18 [3840/9756]	Loss: 0.1435	LR: 0.020000
Training Epoch: 18 [4096/9756]	Loss: 0.1220	LR: 0.020000
Training Epoch: 18 [4352/9756]	Loss: 0.2200	LR: 0.020000
Training Epoch: 18 [4608/9756]	Loss: 0.1743	LR: 0.020000
Training Epoch: 18 [4864/9756]	Loss: 0.1978	LR: 0.020000
Training Epoch: 18 [5120/9756]	Loss: 0.1936	LR: 0.020000
Training Epoch: 18 [5376/9756]	Loss: 0.1293	LR: 0.020000
Training Epoch: 18 [5632/9756]	Loss: 0.1910	LR: 0.020000
Training Epoch: 18 [5888/9756]	Loss: 0.1914	LR: 0.020000
Training Epoch: 18 [6144/9756]	Loss: 0.1932	LR: 0.020000
Training Epoch: 18 [6400/9756]	Loss: 0.1540	LR: 0.020000
Training Epoch: 18 [6656/9756]	Loss: 0.1715	LR: 0.020000
Training Epoch: 18 [6912/9756]	Loss: 0.1691	LR: 0.020000
Training Epoch: 18 [7168/9756]	Loss: 0.1975	LR: 0.020000
Training Epoch: 18 [7424/9756]	Loss: 0.2403	LR: 0.020000
Training Epoch: 18 [7680/9756]	Loss: 0.1480	LR: 0.020000
Training Epoch: 18 [7936/9756]	Loss: 0.2585	LR: 0.020000
Training Epoch: 18 [8192/9756]	Loss: 0.1737	LR: 0.020000
Training Epoch: 18 [8448/9756]	Loss: 0.1913	LR: 0.020000
Training Epoch: 18 [8704/9756]	Loss: 0.1821	LR: 0.020000
Training Epoch: 18 [8960/9756]	Loss: 0.1814	LR: 0.020000
Training Epoch: 18 [9216/9756]	Loss: 0.1802	LR: 0.020000
Training Epoch: 18 [9472/9756]	Loss: 0.1330	LR: 0.020000
Training Epoch: 18 [9728/9756]	Loss: 0.1931	LR: 0.020000
Training Epoch: 18 [9756/9756]	Loss: 0.2750	LR: 0.020000
Epoch 18 - Average Train Loss: 0.1923, Train Accuracy: 0.9216
Epoch 18 training time consumed: 148.74s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0007, Accuracy: 0.9298, Time consumed:8.28s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-18-best.pth
Training Epoch: 19 [256/9756]	Loss: 0.2095	LR: 0.020000
Training Epoch: 19 [512/9756]	Loss: 0.2230	LR: 0.020000
Training Epoch: 19 [768/9756]	Loss: 0.1810	LR: 0.020000
Training Epoch: 19 [1024/9756]	Loss: 0.2285	LR: 0.020000
Training Epoch: 19 [1280/9756]	Loss: 0.2416	LR: 0.020000
Training Epoch: 19 [1536/9756]	Loss: 0.2111	LR: 0.020000
Training Epoch: 19 [1792/9756]	Loss: 0.2001	LR: 0.020000
Training Epoch: 19 [2048/9756]	Loss: 0.2132	LR: 0.020000
Training Epoch: 19 [2304/9756]	Loss: 0.2367	LR: 0.020000
Training Epoch: 19 [2560/9756]	Loss: 0.1864	LR: 0.020000
Training Epoch: 19 [2816/9756]	Loss: 0.2784	LR: 0.020000
Training Epoch: 19 [3072/9756]	Loss: 0.1641	LR: 0.020000
Training Epoch: 19 [3328/9756]	Loss: 0.1782	LR: 0.020000
Training Epoch: 19 [3584/9756]	Loss: 0.1827	LR: 0.020000
Training Epoch: 19 [3840/9756]	Loss: 0.1794	LR: 0.020000
Training Epoch: 19 [4096/9756]	Loss: 0.1659	LR: 0.020000
Training Epoch: 19 [4352/9756]	Loss: 0.1344	LR: 0.020000
Training Epoch: 19 [4608/9756]	Loss: 0.2621	LR: 0.020000
Training Epoch: 19 [4864/9756]	Loss: 0.2071	LR: 0.020000
Training Epoch: 19 [5120/9756]	Loss: 0.1927	LR: 0.020000
Training Epoch: 19 [5376/9756]	Loss: 0.1990	LR: 0.020000
Training Epoch: 19 [5632/9756]	Loss: 0.1753	LR: 0.020000
Training Epoch: 19 [5888/9756]	Loss: 0.2368	LR: 0.020000
Training Epoch: 19 [6144/9756]	Loss: 0.1975	LR: 0.020000
Training Epoch: 19 [6400/9756]	Loss: 0.1944	LR: 0.020000
Training Epoch: 19 [6656/9756]	Loss: 0.2173	LR: 0.020000
Training Epoch: 19 [6912/9756]	Loss: 0.1831	LR: 0.020000
Training Epoch: 19 [7168/9756]	Loss: 0.1585	LR: 0.020000
Training Epoch: 19 [7424/9756]	Loss: 0.1558	LR: 0.020000
Training Epoch: 19 [7680/9756]	Loss: 0.1451	LR: 0.020000
Training Epoch: 19 [7936/9756]	Loss: 0.2126	LR: 0.020000
Training Epoch: 19 [8192/9756]	Loss: 0.1452	LR: 0.020000
Training Epoch: 19 [8448/9756]	Loss: 0.1356	LR: 0.020000
Training Epoch: 19 [8704/9756]	Loss: 0.1143	LR: 0.020000
Training Epoch: 19 [8960/9756]	Loss: 0.1720	LR: 0.020000
Training Epoch: 19 [9216/9756]	Loss: 0.2136	LR: 0.020000
Training Epoch: 19 [9472/9756]	Loss: 0.1684	LR: 0.020000
Training Epoch: 19 [9728/9756]	Loss: 0.2383	LR: 0.020000
Training Epoch: 19 [9756/9756]	Loss: 0.2364	LR: 0.020000
Epoch 19 - Average Train Loss: 0.1933, Train Accuracy: 0.9215
Epoch 19 training time consumed: 148.94s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0007, Accuracy: 0.9327, Time consumed:8.33s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-19-best.pth
Training Epoch: 20 [256/9756]	Loss: 0.2090	LR: 0.004000
Training Epoch: 20 [512/9756]	Loss: 0.1634	LR: 0.004000
Training Epoch: 20 [768/9756]	Loss: 0.1945	LR: 0.004000
Training Epoch: 20 [1024/9756]	Loss: 0.1573	LR: 0.004000
Training Epoch: 20 [1280/9756]	Loss: 0.1544	LR: 0.004000
Training Epoch: 20 [1536/9756]	Loss: 0.1357	LR: 0.004000
Training Epoch: 20 [1792/9756]	Loss: 0.1819	LR: 0.004000
Training Epoch: 20 [2048/9756]	Loss: 0.1753	LR: 0.004000
Training Epoch: 20 [2304/9756]	Loss: 0.1405	LR: 0.004000
Training Epoch: 20 [2560/9756]	Loss: 0.1910	LR: 0.004000
Training Epoch: 20 [2816/9756]	Loss: 0.1533	LR: 0.004000
Training Epoch: 20 [3072/9756]	Loss: 0.1753	LR: 0.004000
Training Epoch: 20 [3328/9756]	Loss: 0.1360	LR: 0.004000
Training Epoch: 20 [3584/9756]	Loss: 0.1536	LR: 0.004000
Training Epoch: 20 [3840/9756]	Loss: 0.2180	LR: 0.004000
Training Epoch: 20 [4096/9756]	Loss: 0.1638	LR: 0.004000
Training Epoch: 20 [4352/9756]	Loss: 0.1758	LR: 0.004000
Training Epoch: 20 [4608/9756]	Loss: 0.2103	LR: 0.004000
Training Epoch: 20 [4864/9756]	Loss: 0.1254	LR: 0.004000
Training Epoch: 20 [5120/9756]	Loss: 0.1895	LR: 0.004000
Training Epoch: 20 [5376/9756]	Loss: 0.1270	LR: 0.004000
Training Epoch: 20 [5632/9756]	Loss: 0.1694	LR: 0.004000
Training Epoch: 20 [5888/9756]	Loss: 0.1622	LR: 0.004000
Training Epoch: 20 [6144/9756]	Loss: 0.1644	LR: 0.004000
Training Epoch: 20 [6400/9756]	Loss: 0.1438	LR: 0.004000
Training Epoch: 20 [6656/9756]	Loss: 0.1425	LR: 0.004000
Training Epoch: 20 [6912/9756]	Loss: 0.1792	LR: 0.004000
Training Epoch: 20 [7168/9756]	Loss: 0.1349	LR: 0.004000
Training Epoch: 20 [7424/9756]	Loss: 0.1591	LR: 0.004000
Training Epoch: 20 [7680/9756]	Loss: 0.1718	LR: 0.004000
Training Epoch: 20 [7936/9756]	Loss: 0.1830	LR: 0.004000
Training Epoch: 20 [8192/9756]	Loss: 0.1513	LR: 0.004000
Training Epoch: 20 [8448/9756]	Loss: 0.1471	LR: 0.004000
Training Epoch: 20 [8704/9756]	Loss: 0.1082	LR: 0.004000
Training Epoch: 20 [8960/9756]	Loss: 0.1159	LR: 0.004000
Training Epoch: 20 [9216/9756]	Loss: 0.1912	LR: 0.004000
Training Epoch: 20 [9472/9756]	Loss: 0.2057	LR: 0.004000
Training Epoch: 20 [9728/9756]	Loss: 0.1962	LR: 0.004000
Training Epoch: 20 [9756/9756]	Loss: 0.1411	LR: 0.004000
Epoch 20 - Average Train Loss: 0.1646, Train Accuracy: 0.9342
Epoch 20 training time consumed: 148.51s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0006, Accuracy: 0.9351, Time consumed:8.36s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-20-best.pth
Training Epoch: 21 [256/9756]	Loss: 0.0925	LR: 0.004000
Training Epoch: 21 [512/9756]	Loss: 0.1516	LR: 0.004000
Training Epoch: 21 [768/9756]	Loss: 0.2082	LR: 0.004000
Training Epoch: 21 [1024/9756]	Loss: 0.1188	LR: 0.004000
Training Epoch: 21 [1280/9756]	Loss: 0.2080	LR: 0.004000
Training Epoch: 21 [1536/9756]	Loss: 0.1608	LR: 0.004000
Training Epoch: 21 [1792/9756]	Loss: 0.1663	LR: 0.004000
Training Epoch: 21 [2048/9756]	Loss: 0.1594	LR: 0.004000
Training Epoch: 21 [2304/9756]	Loss: 0.1394	LR: 0.004000
Training Epoch: 21 [2560/9756]	Loss: 0.1731	LR: 0.004000
Training Epoch: 21 [2816/9756]	Loss: 0.1569	LR: 0.004000
Training Epoch: 21 [3072/9756]	Loss: 0.1781	LR: 0.004000
Training Epoch: 21 [3328/9756]	Loss: 0.1472	LR: 0.004000
Training Epoch: 21 [3584/9756]	Loss: 0.1567	LR: 0.004000
Training Epoch: 21 [3840/9756]	Loss: 0.1479	LR: 0.004000
Training Epoch: 21 [4096/9756]	Loss: 0.1936	LR: 0.004000
Training Epoch: 21 [4352/9756]	Loss: 0.1791	LR: 0.004000
Training Epoch: 21 [4608/9756]	Loss: 0.1356	LR: 0.004000
Training Epoch: 21 [4864/9756]	Loss: 0.1745	LR: 0.004000
Training Epoch: 21 [5120/9756]	Loss: 0.1641	LR: 0.004000
Training Epoch: 21 [5376/9756]	Loss: 0.1599	LR: 0.004000
Training Epoch: 21 [5632/9756]	Loss: 0.2257	LR: 0.004000
Training Epoch: 21 [5888/9756]	Loss: 0.1767	LR: 0.004000
Training Epoch: 21 [6144/9756]	Loss: 0.1593	LR: 0.004000
Training Epoch: 21 [6400/9756]	Loss: 0.1890	LR: 0.004000
Training Epoch: 21 [6656/9756]	Loss: 0.1667	LR: 0.004000
Training Epoch: 21 [6912/9756]	Loss: 0.1361	LR: 0.004000
Training Epoch: 21 [7168/9756]	Loss: 0.1295	LR: 0.004000
Training Epoch: 21 [7424/9756]	Loss: 0.1457	LR: 0.004000
Training Epoch: 21 [7680/9756]	Loss: 0.1462	LR: 0.004000
Training Epoch: 21 [7936/9756]	Loss: 0.1658	LR: 0.004000
Training Epoch: 21 [8192/9756]	Loss: 0.1357	LR: 0.004000
Training Epoch: 21 [8448/9756]	Loss: 0.1440	LR: 0.004000
Training Epoch: 21 [8704/9756]	Loss: 0.2010	LR: 0.004000
Training Epoch: 21 [8960/9756]	Loss: 0.1507	LR: 0.004000
Training Epoch: 21 [9216/9756]	Loss: 0.1429	LR: 0.004000
Training Epoch: 21 [9472/9756]	Loss: 0.0997	LR: 0.004000
Training Epoch: 21 [9728/9756]	Loss: 0.1322	LR: 0.004000
Training Epoch: 21 [9756/9756]	Loss: 0.2028	LR: 0.004000
Epoch 21 - Average Train Loss: 0.1585, Train Accuracy: 0.9356
Epoch 21 training time consumed: 148.51s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0007, Accuracy: 0.9293, Time consumed:8.25s
Training Epoch: 22 [256/9756]	Loss: 0.1316	LR: 0.004000
Training Epoch: 22 [512/9756]	Loss: 0.0930	LR: 0.004000
Training Epoch: 22 [768/9756]	Loss: 0.1712	LR: 0.004000
Training Epoch: 22 [1024/9756]	Loss: 0.1445	LR: 0.004000
Training Epoch: 22 [1280/9756]	Loss: 0.1241	LR: 0.004000
Training Epoch: 22 [1536/9756]	Loss: 0.1486	LR: 0.004000
Training Epoch: 22 [1792/9756]	Loss: 0.1463	LR: 0.004000
Training Epoch: 22 [2048/9756]	Loss: 0.1385	LR: 0.004000
Training Epoch: 22 [2304/9756]	Loss: 0.1444	LR: 0.004000
Training Epoch: 22 [2560/9756]	Loss: 0.1507	LR: 0.004000
Training Epoch: 22 [2816/9756]	Loss: 0.1339	LR: 0.004000
Training Epoch: 22 [3072/9756]	Loss: 0.1832	LR: 0.004000
Training Epoch: 22 [3328/9756]	Loss: 0.1718	LR: 0.004000
Training Epoch: 22 [3584/9756]	Loss: 0.1621	LR: 0.004000
Training Epoch: 22 [3840/9756]	Loss: 0.1657	LR: 0.004000
Training Epoch: 22 [4096/9756]	Loss: 0.1745	LR: 0.004000
Training Epoch: 22 [4352/9756]	Loss: 0.1615	LR: 0.004000
Training Epoch: 22 [4608/9756]	Loss: 0.1658	LR: 0.004000
Training Epoch: 22 [4864/9756]	Loss: 0.1740	LR: 0.004000
Training Epoch: 22 [5120/9756]	Loss: 0.1183	LR: 0.004000
Training Epoch: 22 [5376/9756]	Loss: 0.1374	LR: 0.004000
Training Epoch: 22 [5632/9756]	Loss: 0.1342	LR: 0.004000
Training Epoch: 22 [5888/9756]	Loss: 0.1599	LR: 0.004000
Training Epoch: 22 [6144/9756]	Loss: 0.1612	LR: 0.004000
Training Epoch: 22 [6400/9756]	Loss: 0.1389	LR: 0.004000
Training Epoch: 22 [6656/9756]	Loss: 0.1736	LR: 0.004000
Training Epoch: 22 [6912/9756]	Loss: 0.1221	LR: 0.004000
Training Epoch: 22 [7168/9756]	Loss: 0.1769	LR: 0.004000
Training Epoch: 22 [7424/9756]	Loss: 0.1217	LR: 0.004000
Training Epoch: 22 [7680/9756]	Loss: 0.1384	LR: 0.004000
Training Epoch: 22 [7936/9756]	Loss: 0.2088	LR: 0.004000
Training Epoch: 22 [8192/9756]	Loss: 0.2125	LR: 0.004000
Training Epoch: 22 [8448/9756]	Loss: 0.1346	LR: 0.004000
Training Epoch: 22 [8704/9756]	Loss: 0.1696	LR: 0.004000
Training Epoch: 22 [8960/9756]	Loss: 0.1483	LR: 0.004000
Training Epoch: 22 [9216/9756]	Loss: 0.2043	LR: 0.004000
Training Epoch: 22 [9472/9756]	Loss: 0.1718	LR: 0.004000
Training Epoch: 22 [9728/9756]	Loss: 0.1330	LR: 0.004000
Training Epoch: 22 [9756/9756]	Loss: 0.1496	LR: 0.004000
Epoch 22 - Average Train Loss: 0.1540, Train Accuracy: 0.9356
Epoch 22 training time consumed: 148.39s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0006, Accuracy: 0.9375, Time consumed:8.37s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-22-best.pth
Training Epoch: 23 [256/9756]	Loss: 0.2023	LR: 0.004000
Training Epoch: 23 [512/9756]	Loss: 0.1691	LR: 0.004000
Training Epoch: 23 [768/9756]	Loss: 0.1631	LR: 0.004000
Training Epoch: 23 [1024/9756]	Loss: 0.1781	LR: 0.004000
Training Epoch: 23 [1280/9756]	Loss: 0.1409	LR: 0.004000
Training Epoch: 23 [1536/9756]	Loss: 0.1234	LR: 0.004000
Training Epoch: 23 [1792/9756]	Loss: 0.1631	LR: 0.004000
Training Epoch: 23 [2048/9756]	Loss: 0.1825	LR: 0.004000
Training Epoch: 23 [2304/9756]	Loss: 0.1262	LR: 0.004000
Training Epoch: 23 [2560/9756]	Loss: 0.1676	LR: 0.004000
Training Epoch: 23 [2816/9756]	Loss: 0.1568	LR: 0.004000
Training Epoch: 23 [3072/9756]	Loss: 0.1244	LR: 0.004000
Training Epoch: 23 [3328/9756]	Loss: 0.2049	LR: 0.004000
Training Epoch: 23 [3584/9756]	Loss: 0.1189	LR: 0.004000
Training Epoch: 23 [3840/9756]	Loss: 0.1388	LR: 0.004000
Training Epoch: 23 [4096/9756]	Loss: 0.1298	LR: 0.004000
Training Epoch: 23 [4352/9756]	Loss: 0.1632	LR: 0.004000
Training Epoch: 23 [4608/9756]	Loss: 0.1601	LR: 0.004000
Training Epoch: 23 [4864/9756]	Loss: 0.1410	LR: 0.004000
Training Epoch: 23 [5120/9756]	Loss: 0.1291	LR: 0.004000
Training Epoch: 23 [5376/9756]	Loss: 0.1148	LR: 0.004000
Training Epoch: 23 [5632/9756]	Loss: 0.1522	LR: 0.004000
Training Epoch: 23 [5888/9756]	Loss: 0.1119	LR: 0.004000
Training Epoch: 23 [6144/9756]	Loss: 0.1631	LR: 0.004000
Training Epoch: 23 [6400/9756]	Loss: 0.1248	LR: 0.004000
Training Epoch: 23 [6656/9756]	Loss: 0.1672	LR: 0.004000
Training Epoch: 23 [6912/9756]	Loss: 0.1450	LR: 0.004000
Training Epoch: 23 [7168/9756]	Loss: 0.1431	LR: 0.004000
Training Epoch: 23 [7424/9756]	Loss: 0.1477	LR: 0.004000
Training Epoch: 23 [7680/9756]	Loss: 0.1868	LR: 0.004000
Training Epoch: 23 [7936/9756]	Loss: 0.1250	LR: 0.004000
Training Epoch: 23 [8192/9756]	Loss: 0.1521	LR: 0.004000
Training Epoch: 23 [8448/9756]	Loss: 0.1843	LR: 0.004000
Training Epoch: 23 [8704/9756]	Loss: 0.1185	LR: 0.004000
Training Epoch: 23 [8960/9756]	Loss: 0.1641	LR: 0.004000
Training Epoch: 23 [9216/9756]	Loss: 0.1420	LR: 0.004000
Training Epoch: 23 [9472/9756]	Loss: 0.1473	LR: 0.004000
Training Epoch: 23 [9728/9756]	Loss: 0.1535	LR: 0.004000
Training Epoch: 23 [9756/9756]	Loss: 0.1883	LR: 0.004000
Epoch 23 - Average Train Loss: 0.1508, Train Accuracy: 0.9400
Epoch 23 training time consumed: 148.86s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0006, Accuracy: 0.9385, Time consumed:8.32s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-23-best.pth
Training Epoch: 24 [256/9756]	Loss: 0.1430	LR: 0.004000
Training Epoch: 24 [512/9756]	Loss: 0.2160	LR: 0.004000
Training Epoch: 24 [768/9756]	Loss: 0.1240	LR: 0.004000
Training Epoch: 24 [1024/9756]	Loss: 0.1387	LR: 0.004000
Training Epoch: 24 [1280/9756]	Loss: 0.1464	LR: 0.004000
Training Epoch: 24 [1536/9756]	Loss: 0.1223	LR: 0.004000
Training Epoch: 24 [1792/9756]	Loss: 0.1630	LR: 0.004000
Training Epoch: 24 [2048/9756]	Loss: 0.1605	LR: 0.004000
Training Epoch: 24 [2304/9756]	Loss: 0.1598	LR: 0.004000
Training Epoch: 24 [2560/9756]	Loss: 0.1750	LR: 0.004000
Training Epoch: 24 [2816/9756]	Loss: 0.1219	LR: 0.004000
Training Epoch: 24 [3072/9756]	Loss: 0.2881	LR: 0.004000
Training Epoch: 24 [3328/9756]	Loss: 0.1269	LR: 0.004000
Training Epoch: 24 [3584/9756]	Loss: 0.1361	LR: 0.004000
Training Epoch: 24 [3840/9756]	Loss: 0.1442	LR: 0.004000
Training Epoch: 24 [4096/9756]	Loss: 0.1409	LR: 0.004000
Training Epoch: 24 [4352/9756]	Loss: 0.1517	LR: 0.004000
Training Epoch: 24 [4608/9756]	Loss: 0.1206	LR: 0.004000
Training Epoch: 24 [4864/9756]	Loss: 0.1394	LR: 0.004000
Training Epoch: 24 [5120/9756]	Loss: 0.1694	LR: 0.004000
Training Epoch: 24 [5376/9756]	Loss: 0.1272	LR: 0.004000
Training Epoch: 24 [5632/9756]	Loss: 0.2203	LR: 0.004000
Training Epoch: 24 [5888/9756]	Loss: 0.1195	LR: 0.004000
Training Epoch: 24 [6144/9756]	Loss: 0.1633	LR: 0.004000
Training Epoch: 24 [6400/9756]	Loss: 0.0940	LR: 0.004000
Training Epoch: 24 [6656/9756]	Loss: 0.0949	LR: 0.004000
Training Epoch: 24 [6912/9756]	Loss: 0.1235	LR: 0.004000
Training Epoch: 24 [7168/9756]	Loss: 0.1492	LR: 0.004000
Training Epoch: 24 [7424/9756]	Loss: 0.1188	LR: 0.004000
Training Epoch: 24 [7680/9756]	Loss: 0.1551	LR: 0.004000
Training Epoch: 24 [7936/9756]	Loss: 0.1446	LR: 0.004000
Training Epoch: 24 [8192/9756]	Loss: 0.2067	LR: 0.004000
Training Epoch: 24 [8448/9756]	Loss: 0.2016	LR: 0.004000
Training Epoch: 24 [8704/9756]	Loss: 0.1470	LR: 0.004000
Training Epoch: 24 [8960/9756]	Loss: 0.1825	LR: 0.004000
Training Epoch: 24 [9216/9756]	Loss: 0.1110	LR: 0.004000
Training Epoch: 24 [9472/9756]	Loss: 0.1445	LR: 0.004000
Training Epoch: 24 [9728/9756]	Loss: 0.1582	LR: 0.004000
Training Epoch: 24 [9756/9756]	Loss: 0.3447	LR: 0.004000
Epoch 24 - Average Train Loss: 0.1519, Train Accuracy: 0.9378
Epoch 24 training time consumed: 148.56s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0006, Accuracy: 0.9404, Time consumed:8.23s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-24-best.pth
Training Epoch: 25 [256/9756]	Loss: 0.1470	LR: 0.004000
Training Epoch: 25 [512/9756]	Loss: 0.1431	LR: 0.004000
Training Epoch: 25 [768/9756]	Loss: 0.1047	LR: 0.004000
Training Epoch: 25 [1024/9756]	Loss: 0.1423	LR: 0.004000
Training Epoch: 25 [1280/9756]	Loss: 0.1871	LR: 0.004000
Training Epoch: 25 [1536/9756]	Loss: 0.1858	LR: 0.004000
Training Epoch: 25 [1792/9756]	Loss: 0.1814	LR: 0.004000
Training Epoch: 25 [2048/9756]	Loss: 0.1743	LR: 0.004000
Training Epoch: 25 [2304/9756]	Loss: 0.1745	LR: 0.004000
Training Epoch: 25 [2560/9756]	Loss: 0.1576	LR: 0.004000
Training Epoch: 25 [2816/9756]	Loss: 0.1613	LR: 0.004000
Training Epoch: 25 [3072/9756]	Loss: 0.1482	LR: 0.004000
Training Epoch: 25 [3328/9756]	Loss: 0.1354	LR: 0.004000
Training Epoch: 25 [3584/9756]	Loss: 0.1700	LR: 0.004000
Training Epoch: 25 [3840/9756]	Loss: 0.1280	LR: 0.004000
Training Epoch: 25 [4096/9756]	Loss: 0.1657	LR: 0.004000
Training Epoch: 25 [4352/9756]	Loss: 0.1512	LR: 0.004000
Training Epoch: 25 [4608/9756]	Loss: 0.1587	LR: 0.004000
Training Epoch: 25 [4864/9756]	Loss: 0.1500	LR: 0.004000
Training Epoch: 25 [5120/9756]	Loss: 0.1621	LR: 0.004000
Training Epoch: 25 [5376/9756]	Loss: 0.1243	LR: 0.004000
Training Epoch: 25 [5632/9756]	Loss: 0.1537	LR: 0.004000
Training Epoch: 25 [5888/9756]	Loss: 0.1444	LR: 0.004000
Training Epoch: 25 [6144/9756]	Loss: 0.1249	LR: 0.004000
Training Epoch: 25 [6400/9756]	Loss: 0.1339	LR: 0.004000
Training Epoch: 25 [6656/9756]	Loss: 0.1140	LR: 0.004000
Training Epoch: 25 [6912/9756]	Loss: 0.1586	LR: 0.004000
Training Epoch: 25 [7168/9756]	Loss: 0.1843	LR: 0.004000
Training Epoch: 25 [7424/9756]	Loss: 0.1056	LR: 0.004000
Training Epoch: 25 [7680/9756]	Loss: 0.1743	LR: 0.004000
Training Epoch: 25 [7936/9756]	Loss: 0.1134	LR: 0.004000
Training Epoch: 25 [8192/9756]	Loss: 0.1419	LR: 0.004000
Training Epoch: 25 [8448/9756]	Loss: 0.1534	LR: 0.004000
Training Epoch: 25 [8704/9756]	Loss: 0.1242	LR: 0.004000
Training Epoch: 25 [8960/9756]	Loss: 0.1446	LR: 0.004000
Training Epoch: 25 [9216/9756]	Loss: 0.0934	LR: 0.004000
Training Epoch: 25 [9472/9756]	Loss: 0.1078	LR: 0.004000
Training Epoch: 25 [9728/9756]	Loss: 0.1507	LR: 0.004000
Training Epoch: 25 [9756/9756]	Loss: 0.7950	LR: 0.004000
Epoch 25 - Average Train Loss: 0.1486, Train Accuracy: 0.9396
Epoch 25 training time consumed: 149.02s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0006, Accuracy: 0.9380, Time consumed:8.21s
Training Epoch: 26 [256/9756]	Loss: 0.1754	LR: 0.004000
Training Epoch: 26 [512/9756]	Loss: 0.1213	LR: 0.004000
Training Epoch: 26 [768/9756]	Loss: 0.1260	LR: 0.004000
Training Epoch: 26 [1024/9756]	Loss: 0.1322	LR: 0.004000
Training Epoch: 26 [1280/9756]	Loss: 0.1203	LR: 0.004000
Training Epoch: 26 [1536/9756]	Loss: 0.1757	LR: 0.004000
Training Epoch: 26 [1792/9756]	Loss: 0.1621	LR: 0.004000
Training Epoch: 26 [2048/9756]	Loss: 0.1446	LR: 0.004000
Training Epoch: 26 [2304/9756]	Loss: 0.1707	LR: 0.004000
Training Epoch: 26 [2560/9756]	Loss: 0.2077	LR: 0.004000
Training Epoch: 26 [2816/9756]	Loss: 0.1933	LR: 0.004000
Training Epoch: 26 [3072/9756]	Loss: 0.1295	LR: 0.004000
Training Epoch: 26 [3328/9756]	Loss: 0.1444	LR: 0.004000
Training Epoch: 26 [3584/9756]	Loss: 0.1768	LR: 0.004000
Training Epoch: 26 [3840/9756]	Loss: 0.1485	LR: 0.004000
Training Epoch: 26 [4096/9756]	Loss: 0.1801	LR: 0.004000
Training Epoch: 26 [4352/9756]	Loss: 0.1546	LR: 0.004000
Training Epoch: 26 [4608/9756]	Loss: 0.1226	LR: 0.004000
Training Epoch: 26 [4864/9756]	Loss: 0.1247	LR: 0.004000
Training Epoch: 26 [5120/9756]	Loss: 0.1075	LR: 0.004000
Training Epoch: 26 [5376/9756]	Loss: 0.1701	LR: 0.004000
Training Epoch: 26 [5632/9756]	Loss: 0.1212	LR: 0.004000
Training Epoch: 26 [5888/9756]	Loss: 0.1563	LR: 0.004000
Training Epoch: 26 [6144/9756]	Loss: 0.1345	LR: 0.004000
Training Epoch: 26 [6400/9756]	Loss: 0.1270	LR: 0.004000
Training Epoch: 26 [6656/9756]	Loss: 0.1422	LR: 0.004000
Training Epoch: 26 [6912/9756]	Loss: 0.1279	LR: 0.004000
Training Epoch: 26 [7168/9756]	Loss: 0.2066	LR: 0.004000
Training Epoch: 26 [7424/9756]	Loss: 0.1400	LR: 0.004000
Training Epoch: 26 [7680/9756]	Loss: 0.1339	LR: 0.004000
Training Epoch: 26 [7936/9756]	Loss: 0.1205	LR: 0.004000
Training Epoch: 26 [8192/9756]	Loss: 0.1713	LR: 0.004000
Training Epoch: 26 [8448/9756]	Loss: 0.1195	LR: 0.004000
Training Epoch: 26 [8704/9756]	Loss: 0.1333	LR: 0.004000
Training Epoch: 26 [8960/9756]	Loss: 0.1752	LR: 0.004000
Training Epoch: 26 [9216/9756]	Loss: 0.1939	LR: 0.004000
Training Epoch: 26 [9472/9756]	Loss: 0.1488	LR: 0.004000
Training Epoch: 26 [9728/9756]	Loss: 0.1289	LR: 0.004000
Training Epoch: 26 [9756/9756]	Loss: 0.2339	LR: 0.004000
Epoch 26 - Average Train Loss: 0.1494, Train Accuracy: 0.9375
Epoch 26 training time consumed: 148.72s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0006, Accuracy: 0.9370, Time consumed:8.15s
Training Epoch: 27 [256/9756]	Loss: 0.1352	LR: 0.004000
Training Epoch: 27 [512/9756]	Loss: 0.1192	LR: 0.004000
Training Epoch: 27 [768/9756]	Loss: 0.1527	LR: 0.004000
Training Epoch: 27 [1024/9756]	Loss: 0.1353	LR: 0.004000
Training Epoch: 27 [1280/9756]	Loss: 0.1680	LR: 0.004000
Training Epoch: 27 [1536/9756]	Loss: 0.1540	LR: 0.004000
Training Epoch: 27 [1792/9756]	Loss: 0.1185	LR: 0.004000
Training Epoch: 27 [2048/9756]	Loss: 0.1813	LR: 0.004000
Training Epoch: 27 [2304/9756]	Loss: 0.1718	LR: 0.004000
Training Epoch: 27 [2560/9756]	Loss: 0.1876	LR: 0.004000
Training Epoch: 27 [2816/9756]	Loss: 0.1308	LR: 0.004000
Training Epoch: 27 [3072/9756]	Loss: 0.1367	LR: 0.004000
Training Epoch: 27 [3328/9756]	Loss: 0.1226	LR: 0.004000
Training Epoch: 27 [3584/9756]	Loss: 0.1264	LR: 0.004000
Training Epoch: 27 [3840/9756]	Loss: 0.1332	LR: 0.004000
Training Epoch: 27 [4096/9756]	Loss: 0.1264	LR: 0.004000
Training Epoch: 27 [4352/9756]	Loss: 0.1567	LR: 0.004000
Training Epoch: 27 [4608/9756]	Loss: 0.1639	LR: 0.004000
Training Epoch: 27 [4864/9756]	Loss: 0.1853	LR: 0.004000
Training Epoch: 27 [5120/9756]	Loss: 0.1805	LR: 0.004000
Training Epoch: 27 [5376/9756]	Loss: 0.1338	LR: 0.004000
Training Epoch: 27 [5632/9756]	Loss: 0.1254	LR: 0.004000
Training Epoch: 27 [5888/9756]	Loss: 0.1782	LR: 0.004000
Training Epoch: 27 [6144/9756]	Loss: 0.1298	LR: 0.004000
Training Epoch: 27 [6400/9756]	Loss: 0.1551	LR: 0.004000
Training Epoch: 27 [6656/9756]	Loss: 0.1327	LR: 0.004000
Training Epoch: 27 [6912/9756]	Loss: 0.1085	LR: 0.004000
Training Epoch: 27 [7168/9756]	Loss: 0.1486	LR: 0.004000
Training Epoch: 27 [7424/9756]	Loss: 0.1400	LR: 0.004000
Training Epoch: 27 [7680/9756]	Loss: 0.1235	LR: 0.004000
Training Epoch: 27 [7936/9756]	Loss: 0.1274	LR: 0.004000
Training Epoch: 27 [8192/9756]	Loss: 0.1429	LR: 0.004000
Training Epoch: 27 [8448/9756]	Loss: 0.1110	LR: 0.004000
Training Epoch: 27 [8704/9756]	Loss: 0.1647	LR: 0.004000
Training Epoch: 27 [8960/9756]	Loss: 0.1590	LR: 0.004000
Training Epoch: 27 [9216/9756]	Loss: 0.1410	LR: 0.004000
Training Epoch: 27 [9472/9756]	Loss: 0.1196	LR: 0.004000
Training Epoch: 27 [9728/9756]	Loss: 0.1794	LR: 0.004000
Training Epoch: 27 [9756/9756]	Loss: 0.0851	LR: 0.004000
Epoch 27 - Average Train Loss: 0.1447, Train Accuracy: 0.9410
Epoch 27 training time consumed: 148.59s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0006, Accuracy: 0.9419, Time consumed:8.17s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-27-best.pth
Training Epoch: 28 [256/9756]	Loss: 0.1270	LR: 0.004000
Training Epoch: 28 [512/9756]	Loss: 0.1394	LR: 0.004000
Training Epoch: 28 [768/9756]	Loss: 0.1637	LR: 0.004000
Training Epoch: 28 [1024/9756]	Loss: 0.1326	LR: 0.004000
Training Epoch: 28 [1280/9756]	Loss: 0.0845	LR: 0.004000
Training Epoch: 28 [1536/9756]	Loss: 0.1600	LR: 0.004000
Training Epoch: 28 [1792/9756]	Loss: 0.1819	LR: 0.004000
Training Epoch: 28 [2048/9756]	Loss: 0.1524	LR: 0.004000
Training Epoch: 28 [2304/9756]	Loss: 0.1537	LR: 0.004000
Training Epoch: 28 [2560/9756]	Loss: 0.1329	LR: 0.004000
Training Epoch: 28 [2816/9756]	Loss: 0.1198	LR: 0.004000
Training Epoch: 28 [3072/9756]	Loss: 0.1249	LR: 0.004000
Training Epoch: 28 [3328/9756]	Loss: 0.1694	LR: 0.004000
Training Epoch: 28 [3584/9756]	Loss: 0.1651	LR: 0.004000
Training Epoch: 28 [3840/9756]	Loss: 0.0984	LR: 0.004000
Training Epoch: 28 [4096/9756]	Loss: 0.1306	LR: 0.004000
Training Epoch: 28 [4352/9756]	Loss: 0.1127	LR: 0.004000
Training Epoch: 28 [4608/9756]	Loss: 0.1220	LR: 0.004000
Training Epoch: 28 [4864/9756]	Loss: 0.1384	LR: 0.004000
Training Epoch: 28 [5120/9756]	Loss: 0.1843	LR: 0.004000
Training Epoch: 28 [5376/9756]	Loss: 0.1246	LR: 0.004000
Training Epoch: 28 [5632/9756]	Loss: 0.1487	LR: 0.004000
Training Epoch: 28 [5888/9756]	Loss: 0.1560	LR: 0.004000
Training Epoch: 28 [6144/9756]	Loss: 0.1570	LR: 0.004000
Training Epoch: 28 [6400/9756]	Loss: 0.1020	LR: 0.004000
Training Epoch: 28 [6656/9756]	Loss: 0.1425	LR: 0.004000
Training Epoch: 28 [6912/9756]	Loss: 0.1451	LR: 0.004000
Training Epoch: 28 [7168/9756]	Loss: 0.1675	LR: 0.004000
Training Epoch: 28 [7424/9756]	Loss: 0.1330	LR: 0.004000
Training Epoch: 28 [7680/9756]	Loss: 0.1324	LR: 0.004000
Training Epoch: 28 [7936/9756]	Loss: 0.1792	LR: 0.004000
Training Epoch: 28 [8192/9756]	Loss: 0.1465	LR: 0.004000
Training Epoch: 28 [8448/9756]	Loss: 0.1048	LR: 0.004000
Training Epoch: 28 [8704/9756]	Loss: 0.1678	LR: 0.004000
Training Epoch: 28 [8960/9756]	Loss: 0.2131	LR: 0.004000
Training Epoch: 28 [9216/9756]	Loss: 0.1788	LR: 0.004000
Training Epoch: 28 [9472/9756]	Loss: 0.1131	LR: 0.004000
Training Epoch: 28 [9728/9756]	Loss: 0.1651	LR: 0.004000
Training Epoch: 28 [9756/9756]	Loss: 0.1065	LR: 0.004000
Epoch 28 - Average Train Loss: 0.1439, Train Accuracy: 0.9397
Epoch 28 training time consumed: 148.93s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0005, Accuracy: 0.9448, Time consumed:8.29s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_26_July_2025_06h_43m_33s/ResNet18-MUCAC-seed7-ret25-28-best.pth
Training Epoch: 29 [256/9756]	Loss: 0.1570	LR: 0.004000
Training Epoch: 29 [512/9756]	Loss: 0.1079	LR: 0.004000
Training Epoch: 29 [768/9756]	Loss: 0.1121	LR: 0.004000
Training Epoch: 29 [1024/9756]	Loss: 0.1264	LR: 0.004000
Training Epoch: 29 [1280/9756]	Loss: 0.1354	LR: 0.004000
Training Epoch: 29 [1536/9756]	Loss: 0.1302	LR: 0.004000
Training Epoch: 29 [1792/9756]	Loss: 0.1426	LR: 0.004000
Training Epoch: 29 [2048/9756]	Loss: 0.1120	LR: 0.004000
Training Epoch: 29 [2304/9756]	Loss: 0.1653	LR: 0.004000
Training Epoch: 29 [2560/9756]	Loss: 0.1302	LR: 0.004000
Training Epoch: 29 [2816/9756]	Loss: 0.2053	LR: 0.004000
Training Epoch: 29 [3072/9756]	Loss: 0.1171	LR: 0.004000
Training Epoch: 29 [3328/9756]	Loss: 0.1539	LR: 0.004000
Training Epoch: 29 [3584/9756]	Loss: 0.1515	LR: 0.004000
Training Epoch: 29 [3840/9756]	Loss: 0.1593	LR: 0.004000
Training Epoch: 29 [4096/9756]	Loss: 0.1516	LR: 0.004000
Training Epoch: 29 [4352/9756]	Loss: 0.1409	LR: 0.004000
Training Epoch: 29 [4608/9756]	Loss: 0.1779	LR: 0.004000
Training Epoch: 29 [4864/9756]	Loss: 0.1413	LR: 0.004000
Training Epoch: 29 [5120/9756]	Loss: 0.1766	LR: 0.004000
Training Epoch: 29 [5376/9756]	Loss: 0.1270	LR: 0.004000
Training Epoch: 29 [5632/9756]	Loss: 0.1550	LR: 0.004000
Training Epoch: 29 [5888/9756]	Loss: 0.1355	LR: 0.004000
Training Epoch: 29 [6144/9756]	Loss: 0.1069	LR: 0.004000
Training Epoch: 29 [6400/9756]	Loss: 0.1698	LR: 0.004000
Training Epoch: 29 [6656/9756]	Loss: 0.1553	LR: 0.004000
Training Epoch: 29 [6912/9756]	Loss: 0.0993	LR: 0.004000
Training Epoch: 29 [7168/9756]	Loss: 0.1543	LR: 0.004000
Training Epoch: 29 [7424/9756]	Loss: 0.1358	LR: 0.004000
Training Epoch: 29 [7680/9756]	Loss: 0.1420	LR: 0.004000
Training Epoch: 29 [7936/9756]	Loss: 0.1349	LR: 0.004000
Training Epoch: 29 [8192/9756]	Loss: 0.1072	LR: 0.004000
Training Epoch: 29 [8448/9756]	Loss: 0.1557	LR: 0.004000
Training Epoch: 29 [8704/9756]	Loss: 0.1442	LR: 0.004000
Training Epoch: 29 [8960/9756]	Loss: 0.1113	LR: 0.004000
Training Epoch: 29 [9216/9756]	Loss: 0.1275	LR: 0.004000
Training Epoch: 29 [9472/9756]	Loss: 0.0955	LR: 0.004000
Training Epoch: 29 [9728/9756]	Loss: 0.1016	LR: 0.004000
Training Epoch: 29 [9756/9756]	Loss: 0.0387	LR: 0.004000
Epoch 29 - Average Train Loss: 0.1380, Train Accuracy: 0.9443
Epoch 29 training time consumed: 148.25s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0006, Accuracy: 0.9419, Time consumed:8.45s
Training Epoch: 30 [256/9756]	Loss: 0.1067	LR: 0.004000
Training Epoch: 30 [512/9756]	Loss: 0.1574	LR: 0.004000
Training Epoch: 30 [768/9756]	Loss: 0.1693	LR: 0.004000
Training Epoch: 30 [1024/9756]	Loss: 0.1244	LR: 0.004000
Training Epoch: 30 [1280/9756]	Loss: 0.1272	LR: 0.004000
Training Epoch: 30 [1536/9756]	Loss: 0.1441	LR: 0.004000
Training Epoch: 30 [1792/9756]	Loss: 0.1106	LR: 0.004000
Training Epoch: 30 [2048/9756]	Loss: 0.1187	LR: 0.004000
Training Epoch: 30 [2304/9756]	Loss: 0.1351	LR: 0.004000
Training Epoch: 30 [2560/9756]	Loss: 0.1458	LR: 0.004000
Training Epoch: 30 [2816/9756]	Loss: 0.1452	LR: 0.004000
Training Epoch: 30 [3072/9756]	Loss: 0.1160	LR: 0.004000
Training Epoch: 30 [3328/9756]	Loss: 0.1328	LR: 0.004000
Training Epoch: 30 [3584/9756]	Loss: 0.1780	LR: 0.004000
Training Epoch: 30 [3840/9756]	Loss: 0.0963	LR: 0.004000
Training Epoch: 30 [4096/9756]	Loss: 0.1152	LR: 0.004000
Training Epoch: 30 [4352/9756]	Loss: 0.1272	LR: 0.004000
Training Epoch: 30 [4608/9756]	Loss: 0.1040	LR: 0.004000
Training Epoch: 30 [4864/9756]	Loss: 0.1160	LR: 0.004000
Training Epoch: 30 [5120/9756]	Loss: 0.1445	LR: 0.004000
Training Epoch: 30 [5376/9756]	Loss: 0.1453	LR: 0.004000
Training Epoch: 30 [5632/9756]	Loss: 0.1762	LR: 0.004000
Training Epoch: 30 [5888/9756]	Loss: 0.1035	LR: 0.004000
Training Epoch: 30 [6144/9756]	Loss: 0.1537	LR: 0.004000
Training Epoch: 30 [6400/9756]	Loss: 0.1427	LR: 0.004000
Training Epoch: 30 [6656/9756]	Loss: 0.1420	LR: 0.004000
Training Epoch: 30 [6912/9756]	Loss: 0.1110	LR: 0.004000
Training Epoch: 30 [7168/9756]	Loss: 0.1028	LR: 0.004000
Training Epoch: 30 [7424/9756]	Loss: 0.1010	LR: 0.004000
Training Epoch: 30 [7680/9756]	Loss: 0.1658	LR: 0.004000
Training Epoch: 30 [7936/9756]	Loss: 0.1689	LR: 0.004000
Training Epoch: 30 [8192/9756]	Loss: 0.1369	LR: 0.004000
Training Epoch: 30 [8448/9756]	Loss: 0.1285	LR: 0.004000
Training Epoch: 30 [8704/9756]	Loss: 0.1513	LR: 0.004000
Training Epoch: 30 [8960/9756]	Loss: 0.1161	LR: 0.004000
Training Epoch: 30 [9216/9756]	Loss: 0.1262	LR: 0.004000
Training Epoch: 30 [9472/9756]	Loss: 0.1080	LR: 0.004000
Training Epoch: 30 [9728/9756]	Loss: 0.1375	LR: 0.004000
Training Epoch: 30 [9756/9756]	Loss: 0.2370	LR: 0.004000
Epoch 30 - Average Train Loss: 0.1327, Train Accuracy: 0.9463
Epoch 30 training time consumed: 148.78s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0006, Accuracy: 0.9448, Time consumed:8.32s
Training Epoch: 31 [256/9756]	Loss: 0.1819	LR: 0.004000
Training Epoch: 31 [512/9756]	Loss: 0.1105	LR: 0.004000
Training Epoch: 31 [768/9756]	Loss: 0.0962	LR: 0.004000
Training Epoch: 31 [1024/9756]	Loss: 0.1832	LR: 0.004000
Training Epoch: 31 [1280/9756]	Loss: 0.1212	LR: 0.004000
Training Epoch: 31 [1536/9756]	Loss: 0.0965	LR: 0.004000
Training Epoch: 31 [1792/9756]	Loss: 0.1218	LR: 0.004000
Training Epoch: 31 [2048/9756]	Loss: 0.1033	LR: 0.004000
Training Epoch: 31 [2304/9756]	Loss: 0.1802	LR: 0.004000
Training Epoch: 31 [2560/9756]	Loss: 0.1572	LR: 0.004000
Training Epoch: 31 [2816/9756]	Loss: 0.1225	LR: 0.004000
Training Epoch: 31 [3072/9756]	Loss: 0.1147	LR: 0.004000
Training Epoch: 31 [3328/9756]	Loss: 0.1023	LR: 0.004000
Training Epoch: 31 [3584/9756]	Loss: 0.1264	LR: 0.004000
Training Epoch: 31 [3840/9756]	Loss: 0.1444	LR: 0.004000
Training Epoch: 31 [4096/9756]	Loss: 0.1712	LR: 0.004000
Training Epoch: 31 [4352/9756]	Loss: 0.1328	LR: 0.004000
Training Epoch: 31 [4608/9756]	Loss: 0.1182	LR: 0.004000
Training Epoch: 31 [4864/9756]	Loss: 0.1352	LR: 0.004000
Training Epoch: 31 [5120/9756]	Loss: 0.1780	LR: 0.004000
Training Epoch: 31 [5376/9756]	Loss: 0.0864	LR: 0.004000
Training Epoch: 31 [5632/9756]	Loss: 0.1962	LR: 0.004000
Training Epoch: 31 [5888/9756]	Loss: 0.1978	LR: 0.004000
Training Epoch: 31 [6144/9756]	Loss: 0.1578	LR: 0.004000
Training Epoch: 31 [6400/9756]	Loss: 0.1334	LR: 0.004000
Training Epoch: 31 [6656/9756]	Loss: 0.1347	LR: 0.004000
Training Epoch: 31 [6912/9756]	Loss: 0.1253	LR: 0.004000
Training Epoch: 31 [7168/9756]	Loss: 0.0950	LR: 0.004000
Training Epoch: 31 [7424/9756]	Loss: 0.1925	LR: 0.004000
Training Epoch: 31 [7680/9756]	Loss: 0.1270	LR: 0.004000
Training Epoch: 31 [7936/9756]	Loss: 0.1399	LR: 0.004000
Training Epoch: 31 [8192/9756]	Loss: 0.1342	LR: 0.004000
Training Epoch: 31 [8448/9756]	Loss: 0.1486	LR: 0.004000
Training Epoch: 31 [8704/9756]	Loss: 0.1085	LR: 0.004000
Training Epoch: 31 [8960/9756]	Loss: 0.1367	LR: 0.004000
Training Epoch: 31 [9216/9756]	Loss: 0.1394	LR: 0.004000
Training Epoch: 31 [9472/9756]	Loss: 0.1421	LR: 0.004000
Training Epoch: 31 [9728/9756]	Loss: 0.1565	LR: 0.004000
Training Epoch: 31 [9756/9756]	Loss: 0.1073	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1381, Train Accuracy: 0.9416
Epoch 31 training time consumed: 148.40s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0006, Accuracy: 0.9419, Time consumed:8.54s
Valid (Test) Dl:  2065
Train Dl:  10548
Retain Train Dl:  9756
Forget Train Dl:  792
Retain Valid Dl:  9756
Forget Valid Dl:  792
retain_prob Distribution: 2065 samples
test_prob Distribution: 2065 samples
forget_prob Distribution: 792 samples
Set1 Distribution: 792 samples
Set2 Distribution: 792 samples
Set1 Distribution: 792 samples
Set2 Distribution: 792 samples
Set1 Distribution: 2065 samples
Set2 Distribution: 2065 samples
Set1 Distribution: 2065 samples
Set2 Distribution: 2065 samples
Test Accuracy: 94.79166412353516
Retain Accuracy: 94.58992004394531
Zero-Retain Forget (ZRF): 0.7449973821640015
Membership Inference Attack (MIA): 0.31691919191919193
Forget vs Retain Membership Inference Attack (MIA): 0.45741324921135645
Forget vs Test Membership Inference Attack (MIA): 0.5110410094637224
Test vs Retain Membership Inference Attack (MIA): 0.5217917675544794
Train vs Test Membership Inference Attack (MIA): 0.5290556900726392
Forget Set Accuracy (Df): 93.97785949707031
Method Execution Time: 6037.85 seconds
