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

📌 S Retain class distribution for seed 6:
Class 0: 5284
Class 1: 4210

📌 S Forget class distribution for seed 6:
Class 0: 527
Class 1: 527

📊 Updated class distribution:
Retain set:
  Class 0: 5547
  Class 1: 4473
Forget set:
  Class 0: 264
  Class 1: 264
./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 [256/10020]	Loss: 0.7017	LR: 0.000000
Training Epoch: 1 [512/10020]	Loss: 0.7280	LR: 0.002500
Training Epoch: 1 [768/10020]	Loss: 0.7020	LR: 0.005000
Training Epoch: 1 [1024/10020]	Loss: 0.7826	LR: 0.007500
Training Epoch: 1 [1280/10020]	Loss: 0.7766	LR: 0.010000
Training Epoch: 1 [1536/10020]	Loss: 0.6791	LR: 0.012500
Training Epoch: 1 [1792/10020]	Loss: 0.8797	LR: 0.015000
Training Epoch: 1 [2048/10020]	Loss: 0.6982	LR: 0.017500
Training Epoch: 1 [2304/10020]	Loss: 0.9051	LR: 0.020000
Training Epoch: 1 [2560/10020]	Loss: 0.8672	LR: 0.022500
Training Epoch: 1 [2816/10020]	Loss: 0.6777	LR: 0.025000
Training Epoch: 1 [3072/10020]	Loss: 0.9074	LR: 0.027500
Training Epoch: 1 [3328/10020]	Loss: 1.0069	LR: 0.030000
Training Epoch: 1 [3584/10020]	Loss: 0.6865	LR: 0.032500
Training Epoch: 1 [3840/10020]	Loss: 0.8767	LR: 0.035000
Training Epoch: 1 [4096/10020]	Loss: 1.8200	LR: 0.037500
Training Epoch: 1 [4352/10020]	Loss: 0.6969	LR: 0.040000
Training Epoch: 1 [4608/10020]	Loss: 1.5051	LR: 0.042500
Training Epoch: 1 [4864/10020]	Loss: 0.7010	LR: 0.045000
Training Epoch: 1 [5120/10020]	Loss: 1.0303	LR: 0.047500
Training Epoch: 1 [5376/10020]	Loss: 0.7192	LR: 0.050000
Training Epoch: 1 [5632/10020]	Loss: 0.8116	LR: 0.052500
Training Epoch: 1 [5888/10020]	Loss: 0.7768	LR: 0.055000
Training Epoch: 1 [6144/10020]	Loss: 0.7026	LR: 0.057500
Training Epoch: 1 [6400/10020]	Loss: 0.6906	LR: 0.060000
Training Epoch: 1 [6656/10020]	Loss: 0.7141	LR: 0.062500
Training Epoch: 1 [6912/10020]	Loss: 0.7454	LR: 0.065000
Training Epoch: 1 [7168/10020]	Loss: 0.6975	LR: 0.067500
Training Epoch: 1 [7424/10020]	Loss: 0.7395	LR: 0.070000
Training Epoch: 1 [7680/10020]	Loss: 0.6805	LR: 0.072500
Training Epoch: 1 [7936/10020]	Loss: 0.7343	LR: 0.075000
Training Epoch: 1 [8192/10020]	Loss: 0.7063	LR: 0.077500
Training Epoch: 1 [8448/10020]	Loss: 0.8927	LR: 0.080000
Training Epoch: 1 [8704/10020]	Loss: 0.7482	LR: 0.082500
Training Epoch: 1 [8960/10020]	Loss: 0.7858	LR: 0.085000
Training Epoch: 1 [9216/10020]	Loss: 0.7628	LR: 0.087500
Training Epoch: 1 [9472/10020]	Loss: 0.6769	LR: 0.090000
Training Epoch: 1 [9728/10020]	Loss: 0.8547	LR: 0.092500
Training Epoch: 1 [9984/10020]	Loss: 0.7002	LR: 0.095000
Training Epoch: 1 [10020/10020]	Loss: 0.6645	LR: 0.097500
Epoch 1 - Average Train Loss: 0.8140, Train Accuracy: 0.5189
Epoch 1 training time consumed: 329.20s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0184, Accuracy: 0.4465, Time consumed:8.27s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-1-best.pth
Training Epoch: 2 [256/10020]	Loss: 0.8830	LR: 0.100000
Training Epoch: 2 [512/10020]	Loss: 0.6868	LR: 0.100000
Training Epoch: 2 [768/10020]	Loss: 0.7308	LR: 0.100000
Training Epoch: 2 [1024/10020]	Loss: 0.7644	LR: 0.100000
Training Epoch: 2 [1280/10020]	Loss: 0.7205	LR: 0.100000
Training Epoch: 2 [1536/10020]	Loss: 0.8812	LR: 0.100000
Training Epoch: 2 [1792/10020]	Loss: 0.7338	LR: 0.100000
Training Epoch: 2 [2048/10020]	Loss: 0.7038	LR: 0.100000
Training Epoch: 2 [2304/10020]	Loss: 0.7275	LR: 0.100000
Training Epoch: 2 [2560/10020]	Loss: 0.7457	LR: 0.100000
Training Epoch: 2 [2816/10020]	Loss: 0.7027	LR: 0.100000
Training Epoch: 2 [3072/10020]	Loss: 0.7043	LR: 0.100000
Training Epoch: 2 [3328/10020]	Loss: 0.7306	LR: 0.100000
Training Epoch: 2 [3584/10020]	Loss: 0.6671	LR: 0.100000
Training Epoch: 2 [3840/10020]	Loss: 0.7166	LR: 0.100000
Training Epoch: 2 [4096/10020]	Loss: 0.7127	LR: 0.100000
Training Epoch: 2 [4352/10020]	Loss: 0.6722	LR: 0.100000
Training Epoch: 2 [4608/10020]	Loss: 0.6881	LR: 0.100000
Training Epoch: 2 [4864/10020]	Loss: 0.6746	LR: 0.100000
Training Epoch: 2 [5120/10020]	Loss: 0.6719	LR: 0.100000
Training Epoch: 2 [5376/10020]	Loss: 0.6864	LR: 0.100000
Training Epoch: 2 [5632/10020]	Loss: 0.6997	LR: 0.100000
Training Epoch: 2 [5888/10020]	Loss: 0.6622	LR: 0.100000
Training Epoch: 2 [6144/10020]	Loss: 0.6876	LR: 0.100000
Training Epoch: 2 [6400/10020]	Loss: 0.6602	LR: 0.100000
Training Epoch: 2 [6656/10020]	Loss: 0.6646	LR: 0.100000
Training Epoch: 2 [6912/10020]	Loss: 0.6507	LR: 0.100000
Training Epoch: 2 [7168/10020]	Loss: 0.6801	LR: 0.100000
Training Epoch: 2 [7424/10020]	Loss: 0.6754	LR: 0.100000
Training Epoch: 2 [7680/10020]	Loss: 0.6591	LR: 0.100000
Training Epoch: 2 [7936/10020]	Loss: 0.6995	LR: 0.100000
Training Epoch: 2 [8192/10020]	Loss: 0.6988	LR: 0.100000
Training Epoch: 2 [8448/10020]	Loss: 0.6845	LR: 0.100000
Training Epoch: 2 [8704/10020]	Loss: 0.6991	LR: 0.100000
Training Epoch: 2 [8960/10020]	Loss: 0.6783	LR: 0.100000
Training Epoch: 2 [9216/10020]	Loss: 0.6567	LR: 0.100000
Training Epoch: 2 [9472/10020]	Loss: 0.6755	LR: 0.100000
Training Epoch: 2 [9728/10020]	Loss: 0.6743	LR: 0.100000
Training Epoch: 2 [9984/10020]	Loss: 0.6737	LR: 0.100000
Training Epoch: 2 [10020/10020]	Loss: 0.7594	LR: 0.100000
Epoch 2 - Average Train Loss: 0.7024, Train Accuracy: 0.5624
Epoch 2 training time consumed: 145.48s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0032, Accuracy: 0.4809, Time consumed:8.25s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-2-best.pth
Training Epoch: 3 [256/10020]	Loss: 0.6689	LR: 0.100000
Training Epoch: 3 [512/10020]	Loss: 0.6956	LR: 0.100000
Training Epoch: 3 [768/10020]	Loss: 0.6829	LR: 0.100000
Training Epoch: 3 [1024/10020]	Loss: 0.6799	LR: 0.100000
Training Epoch: 3 [1280/10020]	Loss: 0.6635	LR: 0.100000
Training Epoch: 3 [1536/10020]	Loss: 0.6711	LR: 0.100000
Training Epoch: 3 [1792/10020]	Loss: 0.6712	LR: 0.100000
Training Epoch: 3 [2048/10020]	Loss: 0.6759	LR: 0.100000
Training Epoch: 3 [2304/10020]	Loss: 0.6763	LR: 0.100000
Training Epoch: 3 [2560/10020]	Loss: 0.6745	LR: 0.100000
Training Epoch: 3 [2816/10020]	Loss: 0.6796	LR: 0.100000
Training Epoch: 3 [3072/10020]	Loss: 0.6647	LR: 0.100000
Training Epoch: 3 [3328/10020]	Loss: 0.6507	LR: 0.100000
Training Epoch: 3 [3584/10020]	Loss: 0.6780	LR: 0.100000
Training Epoch: 3 [3840/10020]	Loss: 0.6716	LR: 0.100000
Training Epoch: 3 [4096/10020]	Loss: 0.6666	LR: 0.100000
Training Epoch: 3 [4352/10020]	Loss: 0.6474	LR: 0.100000
Training Epoch: 3 [4608/10020]	Loss: 0.6539	LR: 0.100000
Training Epoch: 3 [4864/10020]	Loss: 0.7098	LR: 0.100000
Training Epoch: 3 [5120/10020]	Loss: 0.6587	LR: 0.100000
Training Epoch: 3 [5376/10020]	Loss: 0.7041	LR: 0.100000
Training Epoch: 3 [5632/10020]	Loss: 0.6638	LR: 0.100000
Training Epoch: 3 [5888/10020]	Loss: 0.6737	LR: 0.100000
Training Epoch: 3 [6144/10020]	Loss: 0.6532	LR: 0.100000
Training Epoch: 3 [6400/10020]	Loss: 0.6738	LR: 0.100000
Training Epoch: 3 [6656/10020]	Loss: 0.6607	LR: 0.100000
Training Epoch: 3 [6912/10020]	Loss: 0.7039	LR: 0.100000
Training Epoch: 3 [7168/10020]	Loss: 0.6656	LR: 0.100000
Training Epoch: 3 [7424/10020]	Loss: 0.6468	LR: 0.100000
Training Epoch: 3 [7680/10020]	Loss: 0.6958	LR: 0.100000
Training Epoch: 3 [7936/10020]	Loss: 0.6706	LR: 0.100000
Training Epoch: 3 [8192/10020]	Loss: 0.6596	LR: 0.100000
Training Epoch: 3 [8448/10020]	Loss: 0.6773	LR: 0.100000
Training Epoch: 3 [8704/10020]	Loss: 0.6832	LR: 0.100000
Training Epoch: 3 [8960/10020]	Loss: 0.6925	LR: 0.100000
Training Epoch: 3 [9216/10020]	Loss: 0.6641	LR: 0.100000
Training Epoch: 3 [9472/10020]	Loss: 0.6929	LR: 0.100000
Training Epoch: 3 [9728/10020]	Loss: 0.6750	LR: 0.100000
Training Epoch: 3 [9984/10020]	Loss: 0.6721	LR: 0.100000
Training Epoch: 3 [10020/10020]	Loss: 0.6836	LR: 0.100000
Epoch 3 - Average Train Loss: 0.6736, Train Accuracy: 0.5874
Epoch 3 training time consumed: 145.21s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0032, Accuracy: 0.5559, Time consumed:8.07s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-3-best.pth
Training Epoch: 4 [256/10020]	Loss: 0.6691	LR: 0.100000
Training Epoch: 4 [512/10020]	Loss: 0.7649	LR: 0.100000
Training Epoch: 4 [768/10020]	Loss: 0.6559	LR: 0.100000
Training Epoch: 4 [1024/10020]	Loss: 0.6676	LR: 0.100000
Training Epoch: 4 [1280/10020]	Loss: 0.7163	LR: 0.100000
Training Epoch: 4 [1536/10020]	Loss: 0.6862	LR: 0.100000
Training Epoch: 4 [1792/10020]	Loss: 0.6817	LR: 0.100000
Training Epoch: 4 [2048/10020]	Loss: 0.6786	LR: 0.100000
Training Epoch: 4 [2304/10020]	Loss: 0.6755	LR: 0.100000
Training Epoch: 4 [2560/10020]	Loss: 0.6647	LR: 0.100000
Training Epoch: 4 [2816/10020]	Loss: 0.6809	LR: 0.100000
Training Epoch: 4 [3072/10020]	Loss: 0.6688	LR: 0.100000
Training Epoch: 4 [3328/10020]	Loss: 0.6697	LR: 0.100000
Training Epoch: 4 [3584/10020]	Loss: 0.6761	LR: 0.100000
Training Epoch: 4 [3840/10020]	Loss: 0.6825	LR: 0.100000
Training Epoch: 4 [4096/10020]	Loss: 0.6910	LR: 0.100000
Training Epoch: 4 [4352/10020]	Loss: 0.6899	LR: 0.100000
Training Epoch: 4 [4608/10020]	Loss: 0.6661	LR: 0.100000
Training Epoch: 4 [4864/10020]	Loss: 0.6397	LR: 0.100000
Training Epoch: 4 [5120/10020]	Loss: 0.6617	LR: 0.100000
Training Epoch: 4 [5376/10020]	Loss: 0.6937	LR: 0.100000
Training Epoch: 4 [5632/10020]	Loss: 0.6570	LR: 0.100000
Training Epoch: 4 [5888/10020]	Loss: 0.6553	LR: 0.100000
Training Epoch: 4 [6144/10020]	Loss: 0.6598	LR: 0.100000
Training Epoch: 4 [6400/10020]	Loss: 0.6473	LR: 0.100000
Training Epoch: 4 [6656/10020]	Loss: 0.6836	LR: 0.100000
Training Epoch: 4 [6912/10020]	Loss: 0.6734	LR: 0.100000
Training Epoch: 4 [7168/10020]	Loss: 0.6277	LR: 0.100000
Training Epoch: 4 [7424/10020]	Loss: 0.6585	LR: 0.100000
Training Epoch: 4 [7680/10020]	Loss: 0.6276	LR: 0.100000
Training Epoch: 4 [7936/10020]	Loss: 0.6558	LR: 0.100000
Training Epoch: 4 [8192/10020]	Loss: 0.6155	LR: 0.100000
Training Epoch: 4 [8448/10020]	Loss: 0.6328	LR: 0.100000
Training Epoch: 4 [8704/10020]	Loss: 0.7009	LR: 0.100000
Training Epoch: 4 [8960/10020]	Loss: 0.6377	LR: 0.100000
Training Epoch: 4 [9216/10020]	Loss: 0.6514	LR: 0.100000
Training Epoch: 4 [9472/10020]	Loss: 0.6722	LR: 0.100000
Training Epoch: 4 [9728/10020]	Loss: 0.6693	LR: 0.100000
Training Epoch: 4 [9984/10020]	Loss: 0.6785	LR: 0.100000
Training Epoch: 4 [10020/10020]	Loss: 0.6768	LR: 0.100000
Epoch 4 - Average Train Loss: 0.6689, Train Accuracy: 0.5972
Epoch 4 training time consumed: 144.57s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0031, Accuracy: 0.5545, Time consumed:8.04s
Training Epoch: 5 [256/10020]	Loss: 0.6747	LR: 0.100000
Training Epoch: 5 [512/10020]	Loss: 0.6508	LR: 0.100000
Training Epoch: 5 [768/10020]	Loss: 0.6435	LR: 0.100000
Training Epoch: 5 [1024/10020]	Loss: 0.6415	LR: 0.100000
Training Epoch: 5 [1280/10020]	Loss: 0.6410	LR: 0.100000
Training Epoch: 5 [1536/10020]	Loss: 0.6621	LR: 0.100000
Training Epoch: 5 [1792/10020]	Loss: 0.6120	LR: 0.100000
Training Epoch: 5 [2048/10020]	Loss: 0.6344	LR: 0.100000
Training Epoch: 5 [2304/10020]	Loss: 0.6293	LR: 0.100000
Training Epoch: 5 [2560/10020]	Loss: 0.6834	LR: 0.100000
Training Epoch: 5 [2816/10020]	Loss: 0.6190	LR: 0.100000
Training Epoch: 5 [3072/10020]	Loss: 0.6480	LR: 0.100000
Training Epoch: 5 [3328/10020]	Loss: 0.6381	LR: 0.100000
Training Epoch: 5 [3584/10020]	Loss: 0.6001	LR: 0.100000
Training Epoch: 5 [3840/10020]	Loss: 0.6534	LR: 0.100000
Training Epoch: 5 [4096/10020]	Loss: 0.6157	LR: 0.100000
Training Epoch: 5 [4352/10020]	Loss: 0.6230	LR: 0.100000
Training Epoch: 5 [4608/10020]	Loss: 0.6192	LR: 0.100000
Training Epoch: 5 [4864/10020]	Loss: 0.6328	LR: 0.100000
Training Epoch: 5 [5120/10020]	Loss: 0.6454	LR: 0.100000
Training Epoch: 5 [5376/10020]	Loss: 0.6127	LR: 0.100000
Training Epoch: 5 [5632/10020]	Loss: 0.6161	LR: 0.100000
Training Epoch: 5 [5888/10020]	Loss: 0.6388	LR: 0.100000
Training Epoch: 5 [6144/10020]	Loss: 0.6009	LR: 0.100000
Training Epoch: 5 [6400/10020]	Loss: 0.6260	LR: 0.100000
Training Epoch: 5 [6656/10020]	Loss: 0.6032	LR: 0.100000
Training Epoch: 5 [6912/10020]	Loss: 0.6134	LR: 0.100000
Training Epoch: 5 [7168/10020]	Loss: 0.6808	LR: 0.100000
Training Epoch: 5 [7424/10020]	Loss: 0.6256	LR: 0.100000
Training Epoch: 5 [7680/10020]	Loss: 0.6099	LR: 0.100000
Training Epoch: 5 [7936/10020]	Loss: 0.6986	LR: 0.100000
Training Epoch: 5 [8192/10020]	Loss: 0.6202	LR: 0.100000
Training Epoch: 5 [8448/10020]	Loss: 0.6610	LR: 0.100000
Training Epoch: 5 [8704/10020]	Loss: 0.7115	LR: 0.100000
Training Epoch: 5 [8960/10020]	Loss: 0.6117	LR: 0.100000
Training Epoch: 5 [9216/10020]	Loss: 0.5917	LR: 0.100000
Training Epoch: 5 [9472/10020]	Loss: 0.6765	LR: 0.100000
Training Epoch: 5 [9728/10020]	Loss: 0.6115	LR: 0.100000
Training Epoch: 5 [9984/10020]	Loss: 0.6372	LR: 0.100000
Training Epoch: 5 [10020/10020]	Loss: 0.4926	LR: 0.100000
Epoch 5 - Average Train Loss: 0.6358, Train Accuracy: 0.6417
Epoch 5 training time consumed: 144.67s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0036, Accuracy: 0.5666, Time consumed:7.83s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-5-best.pth
Training Epoch: 6 [256/10020]	Loss: 0.6038	LR: 0.100000
Training Epoch: 6 [512/10020]	Loss: 0.6345	LR: 0.100000
Training Epoch: 6 [768/10020]	Loss: 0.7187	LR: 0.100000
Training Epoch: 6 [1024/10020]	Loss: 0.6167	LR: 0.100000
Training Epoch: 6 [1280/10020]	Loss: 0.6425	LR: 0.100000
Training Epoch: 6 [1536/10020]	Loss: 0.6709	LR: 0.100000
Training Epoch: 6 [1792/10020]	Loss: 0.6156	LR: 0.100000
Training Epoch: 6 [2048/10020]	Loss: 0.6441	LR: 0.100000
Training Epoch: 6 [2304/10020]	Loss: 0.6028	LR: 0.100000
Training Epoch: 6 [2560/10020]	Loss: 0.6179	LR: 0.100000
Training Epoch: 6 [2816/10020]	Loss: 0.6894	LR: 0.100000
Training Epoch: 6 [3072/10020]	Loss: 0.6521	LR: 0.100000
Training Epoch: 6 [3328/10020]	Loss: 0.6021	LR: 0.100000
Training Epoch: 6 [3584/10020]	Loss: 0.6033	LR: 0.100000
Training Epoch: 6 [3840/10020]	Loss: 0.6292	LR: 0.100000
Training Epoch: 6 [4096/10020]	Loss: 0.6255	LR: 0.100000
Training Epoch: 6 [4352/10020]	Loss: 0.5742	LR: 0.100000
Training Epoch: 6 [4608/10020]	Loss: 0.5986	LR: 0.100000
Training Epoch: 6 [4864/10020]	Loss: 0.5946	LR: 0.100000
Training Epoch: 6 [5120/10020]	Loss: 0.5825	LR: 0.100000
Training Epoch: 6 [5376/10020]	Loss: 0.5736	LR: 0.100000
Training Epoch: 6 [5632/10020]	Loss: 0.5520	LR: 0.100000
Training Epoch: 6 [5888/10020]	Loss: 0.5567	LR: 0.100000
Training Epoch: 6 [6144/10020]	Loss: 0.5467	LR: 0.100000
Training Epoch: 6 [6400/10020]	Loss: 0.5698	LR: 0.100000
Training Epoch: 6 [6656/10020]	Loss: 0.5201	LR: 0.100000
Training Epoch: 6 [6912/10020]	Loss: 0.6005	LR: 0.100000
Training Epoch: 6 [7168/10020]	Loss: 0.5647	LR: 0.100000
Training Epoch: 6 [7424/10020]	Loss: 0.4917	LR: 0.100000
Training Epoch: 6 [7680/10020]	Loss: 0.5035	LR: 0.100000
Training Epoch: 6 [7936/10020]	Loss: 0.6141	LR: 0.100000
Training Epoch: 6 [8192/10020]	Loss: 0.5719	LR: 0.100000
Training Epoch: 6 [8448/10020]	Loss: 0.5274	LR: 0.100000
Training Epoch: 6 [8704/10020]	Loss: 0.5981	LR: 0.100000
Training Epoch: 6 [8960/10020]	Loss: 0.5886	LR: 0.100000
Training Epoch: 6 [9216/10020]	Loss: 0.5267	LR: 0.100000
Training Epoch: 6 [9472/10020]	Loss: 0.5197	LR: 0.100000
Training Epoch: 6 [9728/10020]	Loss: 0.5073	LR: 0.100000
Training Epoch: 6 [9984/10020]	Loss: 0.5196	LR: 0.100000
Training Epoch: 6 [10020/10020]	Loss: 0.5592	LR: 0.100000
Epoch 6 - Average Train Loss: 0.5889, Train Accuracy: 0.6890
Epoch 6 training time consumed: 145.05s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0042, Accuracy: 0.5826, Time consumed:8.16s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-6-best.pth
Training Epoch: 7 [256/10020]	Loss: 0.6754	LR: 0.100000
Training Epoch: 7 [512/10020]	Loss: 0.5302	LR: 0.100000
Training Epoch: 7 [768/10020]	Loss: 0.5445	LR: 0.100000
Training Epoch: 7 [1024/10020]	Loss: 0.5768	LR: 0.100000
Training Epoch: 7 [1280/10020]	Loss: 0.6133	LR: 0.100000
Training Epoch: 7 [1536/10020]	Loss: 0.5168	LR: 0.100000
Training Epoch: 7 [1792/10020]	Loss: 0.5279	LR: 0.100000
Training Epoch: 7 [2048/10020]	Loss: 0.4697	LR: 0.100000
Training Epoch: 7 [2304/10020]	Loss: 0.4878	LR: 0.100000
Training Epoch: 7 [2560/10020]	Loss: 0.4940	LR: 0.100000
Training Epoch: 7 [2816/10020]	Loss: 0.5213	LR: 0.100000
Training Epoch: 7 [3072/10020]	Loss: 0.4823	LR: 0.100000
Training Epoch: 7 [3328/10020]	Loss: 0.3923	LR: 0.100000
Training Epoch: 7 [3584/10020]	Loss: 0.3938	LR: 0.100000
Training Epoch: 7 [3840/10020]	Loss: 0.4579	LR: 0.100000
Training Epoch: 7 [4096/10020]	Loss: 0.4128	LR: 0.100000
Training Epoch: 7 [4352/10020]	Loss: 0.5376	LR: 0.100000
Training Epoch: 7 [4608/10020]	Loss: 0.4786	LR: 0.100000
Training Epoch: 7 [4864/10020]	Loss: 0.6645	LR: 0.100000
Training Epoch: 7 [5120/10020]	Loss: 0.5251	LR: 0.100000
Training Epoch: 7 [5376/10020]	Loss: 0.4836	LR: 0.100000
Training Epoch: 7 [5632/10020]	Loss: 0.5017	LR: 0.100000
Training Epoch: 7 [5888/10020]	Loss: 0.5239	LR: 0.100000
Training Epoch: 7 [6144/10020]	Loss: 0.5895	LR: 0.100000
Training Epoch: 7 [6400/10020]	Loss: 0.5151	LR: 0.100000
Training Epoch: 7 [6656/10020]	Loss: 0.5622	LR: 0.100000
Training Epoch: 7 [6912/10020]	Loss: 0.5913	LR: 0.100000
Training Epoch: 7 [7168/10020]	Loss: 0.5528	LR: 0.100000
Training Epoch: 7 [7424/10020]	Loss: 0.5161	LR: 0.100000
Training Epoch: 7 [7680/10020]	Loss: 0.4847	LR: 0.100000
Training Epoch: 7 [7936/10020]	Loss: 0.5384	LR: 0.100000
Training Epoch: 7 [8192/10020]	Loss: 0.4776	LR: 0.100000
Training Epoch: 7 [8448/10020]	Loss: 0.4163	LR: 0.100000
Training Epoch: 7 [8704/10020]	Loss: 0.4793	LR: 0.100000
Training Epoch: 7 [8960/10020]	Loss: 0.3919	LR: 0.100000
Training Epoch: 7 [9216/10020]	Loss: 0.4479	LR: 0.100000
Training Epoch: 7 [9472/10020]	Loss: 0.4501	LR: 0.100000
Training Epoch: 7 [9728/10020]	Loss: 0.5169	LR: 0.100000
Training Epoch: 7 [9984/10020]	Loss: 0.4872	LR: 0.100000
Training Epoch: 7 [10020/10020]	Loss: 0.5987	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5088, Train Accuracy: 0.7592
Epoch 7 training time consumed: 144.75s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0084, Accuracy: 0.5550, Time consumed:7.94s
Training Epoch: 8 [256/10020]	Loss: 0.4371	LR: 0.100000
Training Epoch: 8 [512/10020]	Loss: 0.5185	LR: 0.100000
Training Epoch: 8 [768/10020]	Loss: 0.4467	LR: 0.100000
Training Epoch: 8 [1024/10020]	Loss: 0.3881	LR: 0.100000
Training Epoch: 8 [1280/10020]	Loss: 0.4591	LR: 0.100000
Training Epoch: 8 [1536/10020]	Loss: 0.5323	LR: 0.100000
Training Epoch: 8 [1792/10020]	Loss: 0.4063	LR: 0.100000
Training Epoch: 8 [2048/10020]	Loss: 0.4362	LR: 0.100000
Training Epoch: 8 [2304/10020]	Loss: 0.4863	LR: 0.100000
Training Epoch: 8 [2560/10020]	Loss: 0.3971	LR: 0.100000
Training Epoch: 8 [2816/10020]	Loss: 0.4097	LR: 0.100000
Training Epoch: 8 [3072/10020]	Loss: 0.4193	LR: 0.100000
Training Epoch: 8 [3328/10020]	Loss: 0.5688	LR: 0.100000
Training Epoch: 8 [3584/10020]	Loss: 0.3531	LR: 0.100000
Training Epoch: 8 [3840/10020]	Loss: 0.4661	LR: 0.100000
Training Epoch: 8 [4096/10020]	Loss: 0.3670	LR: 0.100000
Training Epoch: 8 [4352/10020]	Loss: 0.3570	LR: 0.100000
Training Epoch: 8 [4608/10020]	Loss: 0.4133	LR: 0.100000
Training Epoch: 8 [4864/10020]	Loss: 0.3982	LR: 0.100000
Training Epoch: 8 [5120/10020]	Loss: 0.3273	LR: 0.100000
Training Epoch: 8 [5376/10020]	Loss: 0.3603	LR: 0.100000
Training Epoch: 8 [5632/10020]	Loss: 0.4448	LR: 0.100000
Training Epoch: 8 [5888/10020]	Loss: 0.3335	LR: 0.100000
Training Epoch: 8 [6144/10020]	Loss: 0.3827	LR: 0.100000
Training Epoch: 8 [6400/10020]	Loss: 0.3770	LR: 0.100000
Training Epoch: 8 [6656/10020]	Loss: 0.3547	LR: 0.100000
Training Epoch: 8 [6912/10020]	Loss: 0.3320	LR: 0.100000
Training Epoch: 8 [7168/10020]	Loss: 0.3505	LR: 0.100000
Training Epoch: 8 [7424/10020]	Loss: 0.4024	LR: 0.100000
Training Epoch: 8 [7680/10020]	Loss: 0.2955	LR: 0.100000
Training Epoch: 8 [7936/10020]	Loss: 0.3270	LR: 0.100000
Training Epoch: 8 [8192/10020]	Loss: 0.3810	LR: 0.100000
Training Epoch: 8 [8448/10020]	Loss: 0.3751	LR: 0.100000
Training Epoch: 8 [8704/10020]	Loss: 0.2932	LR: 0.100000
Training Epoch: 8 [8960/10020]	Loss: 0.3057	LR: 0.100000
Training Epoch: 8 [9216/10020]	Loss: 0.3139	LR: 0.100000
Training Epoch: 8 [9472/10020]	Loss: 0.3081	LR: 0.100000
Training Epoch: 8 [9728/10020]	Loss: 0.2703	LR: 0.100000
Training Epoch: 8 [9984/10020]	Loss: 0.2781	LR: 0.100000
Training Epoch: 8 [10020/10020]	Loss: 0.3808	LR: 0.100000
Epoch 8 - Average Train Loss: 0.3865, Train Accuracy: 0.8381
Epoch 8 training time consumed: 144.49s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0021, Accuracy: 0.7787, Time consumed:8.11s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-8-best.pth
Training Epoch: 9 [256/10020]	Loss: 0.3645	LR: 0.100000
Training Epoch: 9 [512/10020]	Loss: 0.5734	LR: 0.100000
Training Epoch: 9 [768/10020]	Loss: 0.3176	LR: 0.100000
Training Epoch: 9 [1024/10020]	Loss: 0.3428	LR: 0.100000
Training Epoch: 9 [1280/10020]	Loss: 0.4291	LR: 0.100000
Training Epoch: 9 [1536/10020]	Loss: 0.3522	LR: 0.100000
Training Epoch: 9 [1792/10020]	Loss: 0.3487	LR: 0.100000
Training Epoch: 9 [2048/10020]	Loss: 0.3892	LR: 0.100000
Training Epoch: 9 [2304/10020]	Loss: 0.3690	LR: 0.100000
Training Epoch: 9 [2560/10020]	Loss: 0.3757	LR: 0.100000
Training Epoch: 9 [2816/10020]	Loss: 0.3825	LR: 0.100000
Training Epoch: 9 [3072/10020]	Loss: 0.3981	LR: 0.100000
Training Epoch: 9 [3328/10020]	Loss: 0.3307	LR: 0.100000
Training Epoch: 9 [3584/10020]	Loss: 0.2927	LR: 0.100000
Training Epoch: 9 [3840/10020]	Loss: 0.2908	LR: 0.100000
Training Epoch: 9 [4096/10020]	Loss: 0.3126	LR: 0.100000
Training Epoch: 9 [4352/10020]	Loss: 0.3144	LR: 0.100000
Training Epoch: 9 [4608/10020]	Loss: 0.3467	LR: 0.100000
Training Epoch: 9 [4864/10020]	Loss: 0.3166	LR: 0.100000
Training Epoch: 9 [5120/10020]	Loss: 0.3170	LR: 0.100000
Training Epoch: 9 [5376/10020]	Loss: 0.3562	LR: 0.100000
Training Epoch: 9 [5632/10020]	Loss: 0.2567	LR: 0.100000
Training Epoch: 9 [5888/10020]	Loss: 0.2633	LR: 0.100000
Training Epoch: 9 [6144/10020]	Loss: 0.3088	LR: 0.100000
Training Epoch: 9 [6400/10020]	Loss: 0.2956	LR: 0.100000
Training Epoch: 9 [6656/10020]	Loss: 0.2631	LR: 0.100000
Training Epoch: 9 [6912/10020]	Loss: 0.2095	LR: 0.100000
Training Epoch: 9 [7168/10020]	Loss: 0.2790	LR: 0.100000
Training Epoch: 9 [7424/10020]	Loss: 0.3219	LR: 0.100000
Training Epoch: 9 [7680/10020]	Loss: 0.2651	LR: 0.100000
Training Epoch: 9 [7936/10020]	Loss: 0.2636	LR: 0.100000
Training Epoch: 9 [8192/10020]	Loss: 0.2249	LR: 0.100000
Training Epoch: 9 [8448/10020]	Loss: 0.3461	LR: 0.100000
Training Epoch: 9 [8704/10020]	Loss: 0.2352	LR: 0.100000
Training Epoch: 9 [8960/10020]	Loss: 0.3023	LR: 0.100000
Training Epoch: 9 [9216/10020]	Loss: 0.2760	LR: 0.100000
Training Epoch: 9 [9472/10020]	Loss: 0.3124	LR: 0.100000
Training Epoch: 9 [9728/10020]	Loss: 0.2526	LR: 0.100000
Training Epoch: 9 [9984/10020]	Loss: 0.2653	LR: 0.100000
Training Epoch: 9 [10020/10020]	Loss: 0.3037	LR: 0.100000
Epoch 9 - Average Train Loss: 0.3195, Train Accuracy: 0.8648
Epoch 9 training time consumed: 145.13s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0011, Accuracy: 0.8857, Time consumed:7.95s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-9-best.pth
Training Epoch: 10 [256/10020]	Loss: 0.3024	LR: 0.020000
Training Epoch: 10 [512/10020]	Loss: 0.2971	LR: 0.020000
Training Epoch: 10 [768/10020]	Loss: 0.2268	LR: 0.020000
Training Epoch: 10 [1024/10020]	Loss: 0.2432	LR: 0.020000
Training Epoch: 10 [1280/10020]	Loss: 0.2738	LR: 0.020000
Training Epoch: 10 [1536/10020]	Loss: 0.2394	LR: 0.020000
Training Epoch: 10 [1792/10020]	Loss: 0.2713	LR: 0.020000
Training Epoch: 10 [2048/10020]	Loss: 0.2503	LR: 0.020000
Training Epoch: 10 [2304/10020]	Loss: 0.2990	LR: 0.020000
Training Epoch: 10 [2560/10020]	Loss: 0.2463	LR: 0.020000
Training Epoch: 10 [2816/10020]	Loss: 0.2214	LR: 0.020000
Training Epoch: 10 [3072/10020]	Loss: 0.2575	LR: 0.020000
Training Epoch: 10 [3328/10020]	Loss: 0.2405	LR: 0.020000
Training Epoch: 10 [3584/10020]	Loss: 0.2719	LR: 0.020000
Training Epoch: 10 [3840/10020]	Loss: 0.3067	LR: 0.020000
Training Epoch: 10 [4096/10020]	Loss: 0.2889	LR: 0.020000
Training Epoch: 10 [4352/10020]	Loss: 0.2461	LR: 0.020000
Training Epoch: 10 [4608/10020]	Loss: 0.2021	LR: 0.020000
Training Epoch: 10 [4864/10020]	Loss: 0.2345	LR: 0.020000
Training Epoch: 10 [5120/10020]	Loss: 0.2541	LR: 0.020000
Training Epoch: 10 [5376/10020]	Loss: 0.2599	LR: 0.020000
Training Epoch: 10 [5632/10020]	Loss: 0.1874	LR: 0.020000
Training Epoch: 10 [5888/10020]	Loss: 0.2480	LR: 0.020000
Training Epoch: 10 [6144/10020]	Loss: 0.2069	LR: 0.020000
Training Epoch: 10 [6400/10020]	Loss: 0.2185	LR: 0.020000
Training Epoch: 10 [6656/10020]	Loss: 0.2388	LR: 0.020000
Training Epoch: 10 [6912/10020]	Loss: 0.2031	LR: 0.020000
Training Epoch: 10 [7168/10020]	Loss: 0.1866	LR: 0.020000
Training Epoch: 10 [7424/10020]	Loss: 0.1754	LR: 0.020000
Training Epoch: 10 [7680/10020]	Loss: 0.2501	LR: 0.020000
Training Epoch: 10 [7936/10020]	Loss: 0.1888	LR: 0.020000
Training Epoch: 10 [8192/10020]	Loss: 0.2316	LR: 0.020000
Training Epoch: 10 [8448/10020]	Loss: 0.2749	LR: 0.020000
Training Epoch: 10 [8704/10020]	Loss: 0.1604	LR: 0.020000
Training Epoch: 10 [8960/10020]	Loss: 0.1905	LR: 0.020000
Training Epoch: 10 [9216/10020]	Loss: 0.1464	LR: 0.020000
Training Epoch: 10 [9472/10020]	Loss: 0.2628	LR: 0.020000
Training Epoch: 10 [9728/10020]	Loss: 0.3328	LR: 0.020000
Training Epoch: 10 [9984/10020]	Loss: 0.2633	LR: 0.020000
Training Epoch: 10 [10020/10020]	Loss: 0.1697	LR: 0.020000
Epoch 10 - Average Train Loss: 0.2408, Train Accuracy: 0.9012
Epoch 10 training time consumed: 145.19s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0011, Accuracy: 0.8910, Time consumed:7.84s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-10-best.pth
Training Epoch: 11 [256/10020]	Loss: 0.2201	LR: 0.020000
Training Epoch: 11 [512/10020]	Loss: 0.2069	LR: 0.020000
Training Epoch: 11 [768/10020]	Loss: 0.2126	LR: 0.020000
Training Epoch: 11 [1024/10020]	Loss: 0.2263	LR: 0.020000
Training Epoch: 11 [1280/10020]	Loss: 0.1676	LR: 0.020000
Training Epoch: 11 [1536/10020]	Loss: 0.1814	LR: 0.020000
Training Epoch: 11 [1792/10020]	Loss: 0.1945	LR: 0.020000
Training Epoch: 11 [2048/10020]	Loss: 0.2062	LR: 0.020000
Training Epoch: 11 [2304/10020]	Loss: 0.2289	LR: 0.020000
Training Epoch: 11 [2560/10020]	Loss: 0.2341	LR: 0.020000
Training Epoch: 11 [2816/10020]	Loss: 0.2593	LR: 0.020000
Training Epoch: 11 [3072/10020]	Loss: 0.1706	LR: 0.020000
Training Epoch: 11 [3328/10020]	Loss: 0.2276	LR: 0.020000
Training Epoch: 11 [3584/10020]	Loss: 0.2104	LR: 0.020000
Training Epoch: 11 [3840/10020]	Loss: 0.2021	LR: 0.020000
Training Epoch: 11 [4096/10020]	Loss: 0.2487	LR: 0.020000
Training Epoch: 11 [4352/10020]	Loss: 0.3019	LR: 0.020000
Training Epoch: 11 [4608/10020]	Loss: 0.2554	LR: 0.020000
Training Epoch: 11 [4864/10020]	Loss: 0.2037	LR: 0.020000
Training Epoch: 11 [5120/10020]	Loss: 0.1652	LR: 0.020000
Training Epoch: 11 [5376/10020]	Loss: 0.2273	LR: 0.020000
Training Epoch: 11 [5632/10020]	Loss: 0.1394	LR: 0.020000
Training Epoch: 11 [5888/10020]	Loss: 0.1813	LR: 0.020000
Training Epoch: 11 [6144/10020]	Loss: 0.2054	LR: 0.020000
Training Epoch: 11 [6400/10020]	Loss: 0.1717	LR: 0.020000
Training Epoch: 11 [6656/10020]	Loss: 0.2351	LR: 0.020000
Training Epoch: 11 [6912/10020]	Loss: 0.2214	LR: 0.020000
Training Epoch: 11 [7168/10020]	Loss: 0.1655	LR: 0.020000
Training Epoch: 11 [7424/10020]	Loss: 0.2132	LR: 0.020000
Training Epoch: 11 [7680/10020]	Loss: 0.2325	LR: 0.020000
Training Epoch: 11 [7936/10020]	Loss: 0.2598	LR: 0.020000
Training Epoch: 11 [8192/10020]	Loss: 0.1796	LR: 0.020000
Training Epoch: 11 [8448/10020]	Loss: 0.2380	LR: 0.020000
Training Epoch: 11 [8704/10020]	Loss: 0.2179	LR: 0.020000
Training Epoch: 11 [8960/10020]	Loss: 0.1709	LR: 0.020000
Training Epoch: 11 [9216/10020]	Loss: 0.1932	LR: 0.020000
Training Epoch: 11 [9472/10020]	Loss: 0.2254	LR: 0.020000
Training Epoch: 11 [9728/10020]	Loss: 0.2028	LR: 0.020000
Training Epoch: 11 [9984/10020]	Loss: 0.2301	LR: 0.020000
Training Epoch: 11 [10020/10020]	Loss: 0.4784	LR: 0.020000
Epoch 11 - Average Train Loss: 0.2121, Train Accuracy: 0.9099
Epoch 11 training time consumed: 144.70s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0008, Accuracy: 0.9225, Time consumed:8.17s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-11-best.pth
Training Epoch: 12 [256/10020]	Loss: 0.1749	LR: 0.020000
Training Epoch: 12 [512/10020]	Loss: 0.2646	LR: 0.020000
Training Epoch: 12 [768/10020]	Loss: 0.2328	LR: 0.020000
Training Epoch: 12 [1024/10020]	Loss: 0.1781	LR: 0.020000
Training Epoch: 12 [1280/10020]	Loss: 0.2731	LR: 0.020000
Training Epoch: 12 [1536/10020]	Loss: 0.2781	LR: 0.020000
Training Epoch: 12 [1792/10020]	Loss: 0.2499	LR: 0.020000
Training Epoch: 12 [2048/10020]	Loss: 0.2152	LR: 0.020000
Training Epoch: 12 [2304/10020]	Loss: 0.1852	LR: 0.020000
Training Epoch: 12 [2560/10020]	Loss: 0.2051	LR: 0.020000
Training Epoch: 12 [2816/10020]	Loss: 0.1859	LR: 0.020000
Training Epoch: 12 [3072/10020]	Loss: 0.1971	LR: 0.020000
Training Epoch: 12 [3328/10020]	Loss: 0.1957	LR: 0.020000
Training Epoch: 12 [3584/10020]	Loss: 0.2690	LR: 0.020000
Training Epoch: 12 [3840/10020]	Loss: 0.1692	LR: 0.020000
Training Epoch: 12 [4096/10020]	Loss: 0.1273	LR: 0.020000
Training Epoch: 12 [4352/10020]	Loss: 0.1713	LR: 0.020000
Training Epoch: 12 [4608/10020]	Loss: 0.2145	LR: 0.020000
Training Epoch: 12 [4864/10020]	Loss: 0.1723	LR: 0.020000
Training Epoch: 12 [5120/10020]	Loss: 0.2204	LR: 0.020000
Training Epoch: 12 [5376/10020]	Loss: 0.2001	LR: 0.020000
Training Epoch: 12 [5632/10020]	Loss: 0.2488	LR: 0.020000
Training Epoch: 12 [5888/10020]	Loss: 0.2273	LR: 0.020000
Training Epoch: 12 [6144/10020]	Loss: 0.2344	LR: 0.020000
Training Epoch: 12 [6400/10020]	Loss: 0.2006	LR: 0.020000
Training Epoch: 12 [6656/10020]	Loss: 0.2409	LR: 0.020000
Training Epoch: 12 [6912/10020]	Loss: 0.2134	LR: 0.020000
Training Epoch: 12 [7168/10020]	Loss: 0.1724	LR: 0.020000
Training Epoch: 12 [7424/10020]	Loss: 0.1993	LR: 0.020000
Training Epoch: 12 [7680/10020]	Loss: 0.2553	LR: 0.020000
Training Epoch: 12 [7936/10020]	Loss: 0.1626	LR: 0.020000
Training Epoch: 12 [8192/10020]	Loss: 0.2149	LR: 0.020000
Training Epoch: 12 [8448/10020]	Loss: 0.2051	LR: 0.020000
Training Epoch: 12 [8704/10020]	Loss: 0.1901	LR: 0.020000
Training Epoch: 12 [8960/10020]	Loss: 0.2207	LR: 0.020000
Training Epoch: 12 [9216/10020]	Loss: 0.1927	LR: 0.020000
Training Epoch: 12 [9472/10020]	Loss: 0.1808	LR: 0.020000
Training Epoch: 12 [9728/10020]	Loss: 0.2028	LR: 0.020000
Training Epoch: 12 [9984/10020]	Loss: 0.1810	LR: 0.020000
Training Epoch: 12 [10020/10020]	Loss: 0.2125	LR: 0.020000
Epoch 12 - Average Train Loss: 0.2083, Train Accuracy: 0.9179
Epoch 12 training time consumed: 145.92s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0008, Accuracy: 0.9162, Time consumed:7.79s
Training Epoch: 13 [256/10020]	Loss: 0.1899	LR: 0.020000
Training Epoch: 13 [512/10020]	Loss: 0.1961	LR: 0.020000
Training Epoch: 13 [768/10020]	Loss: 0.2175	LR: 0.020000
Training Epoch: 13 [1024/10020]	Loss: 0.2320	LR: 0.020000
Training Epoch: 13 [1280/10020]	Loss: 0.1727	LR: 0.020000
Training Epoch: 13 [1536/10020]	Loss: 0.2303	LR: 0.020000
Training Epoch: 13 [1792/10020]	Loss: 0.2427	LR: 0.020000
Training Epoch: 13 [2048/10020]	Loss: 0.1487	LR: 0.020000
Training Epoch: 13 [2304/10020]	Loss: 0.2165	LR: 0.020000
Training Epoch: 13 [2560/10020]	Loss: 0.2192	LR: 0.020000
Training Epoch: 13 [2816/10020]	Loss: 0.2034	LR: 0.020000
Training Epoch: 13 [3072/10020]	Loss: 0.2063	LR: 0.020000
Training Epoch: 13 [3328/10020]	Loss: 0.1620	LR: 0.020000
Training Epoch: 13 [3584/10020]	Loss: 0.1787	LR: 0.020000
Training Epoch: 13 [3840/10020]	Loss: 0.2157	LR: 0.020000
Training Epoch: 13 [4096/10020]	Loss: 0.2159	LR: 0.020000
Training Epoch: 13 [4352/10020]	Loss: 0.1380	LR: 0.020000
Training Epoch: 13 [4608/10020]	Loss: 0.1444	LR: 0.020000
Training Epoch: 13 [4864/10020]	Loss: 0.2218	LR: 0.020000
Training Epoch: 13 [5120/10020]	Loss: 0.1745	LR: 0.020000
Training Epoch: 13 [5376/10020]	Loss: 0.2071	LR: 0.020000
Training Epoch: 13 [5632/10020]	Loss: 0.2012	LR: 0.020000
Training Epoch: 13 [5888/10020]	Loss: 0.1533	LR: 0.020000
Training Epoch: 13 [6144/10020]	Loss: 0.1971	LR: 0.020000
Training Epoch: 13 [6400/10020]	Loss: 0.1591	LR: 0.020000
Training Epoch: 13 [6656/10020]	Loss: 0.1676	LR: 0.020000
Training Epoch: 13 [6912/10020]	Loss: 0.1856	LR: 0.020000
Training Epoch: 13 [7168/10020]	Loss: 0.1714	LR: 0.020000
Training Epoch: 13 [7424/10020]	Loss: 0.1860	LR: 0.020000
Training Epoch: 13 [7680/10020]	Loss: 0.1768	LR: 0.020000
Training Epoch: 13 [7936/10020]	Loss: 0.2005	LR: 0.020000
Training Epoch: 13 [8192/10020]	Loss: 0.1756	LR: 0.020000
Training Epoch: 13 [8448/10020]	Loss: 0.1276	LR: 0.020000
Training Epoch: 13 [8704/10020]	Loss: 0.1595	LR: 0.020000
Training Epoch: 13 [8960/10020]	Loss: 0.1736	LR: 0.020000
Training Epoch: 13 [9216/10020]	Loss: 0.2150	LR: 0.020000
Training Epoch: 13 [9472/10020]	Loss: 0.1797	LR: 0.020000
Training Epoch: 13 [9728/10020]	Loss: 0.2112	LR: 0.020000
Training Epoch: 13 [9984/10020]	Loss: 0.1484	LR: 0.020000
Training Epoch: 13 [10020/10020]	Loss: 0.1589	LR: 0.020000
Epoch 13 - Average Train Loss: 0.1877, Train Accuracy: 0.9231
Epoch 13 training time consumed: 145.35s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0009, Accuracy: 0.9036, Time consumed:7.92s
Training Epoch: 14 [256/10020]	Loss: 0.1337	LR: 0.020000
Training Epoch: 14 [512/10020]	Loss: 0.2396	LR: 0.020000
Training Epoch: 14 [768/10020]	Loss: 0.2123	LR: 0.020000
Training Epoch: 14 [1024/10020]	Loss: 0.1327	LR: 0.020000
Training Epoch: 14 [1280/10020]	Loss: 0.2548	LR: 0.020000
Training Epoch: 14 [1536/10020]	Loss: 0.2059	LR: 0.020000
Training Epoch: 14 [1792/10020]	Loss: 0.1849	LR: 0.020000
Training Epoch: 14 [2048/10020]	Loss: 0.2247	LR: 0.020000
Training Epoch: 14 [2304/10020]	Loss: 0.1764	LR: 0.020000
Training Epoch: 14 [2560/10020]	Loss: 0.2226	LR: 0.020000
Training Epoch: 14 [2816/10020]	Loss: 0.1472	LR: 0.020000
Training Epoch: 14 [3072/10020]	Loss: 0.1932	LR: 0.020000
Training Epoch: 14 [3328/10020]	Loss: 0.1652	LR: 0.020000
Training Epoch: 14 [3584/10020]	Loss: 0.1575	LR: 0.020000
Training Epoch: 14 [3840/10020]	Loss: 0.2563	LR: 0.020000
Training Epoch: 14 [4096/10020]	Loss: 0.1741	LR: 0.020000
Training Epoch: 14 [4352/10020]	Loss: 0.2066	LR: 0.020000
Training Epoch: 14 [4608/10020]	Loss: 0.1770	LR: 0.020000
Training Epoch: 14 [4864/10020]	Loss: 0.2038	LR: 0.020000
Training Epoch: 14 [5120/10020]	Loss: 0.1896	LR: 0.020000
Training Epoch: 14 [5376/10020]	Loss: 0.1868	LR: 0.020000
Training Epoch: 14 [5632/10020]	Loss: 0.1955	LR: 0.020000
Training Epoch: 14 [5888/10020]	Loss: 0.2097	LR: 0.020000
Training Epoch: 14 [6144/10020]	Loss: 0.1744	LR: 0.020000
Training Epoch: 14 [6400/10020]	Loss: 0.1650	LR: 0.020000
Training Epoch: 14 [6656/10020]	Loss: 0.1681	LR: 0.020000
Training Epoch: 14 [6912/10020]	Loss: 0.1733	LR: 0.020000
Training Epoch: 14 [7168/10020]	Loss: 0.1401	LR: 0.020000
Training Epoch: 14 [7424/10020]	Loss: 0.2119	LR: 0.020000
Training Epoch: 14 [7680/10020]	Loss: 0.1909	LR: 0.020000
Training Epoch: 14 [7936/10020]	Loss: 0.2127	LR: 0.020000
Training Epoch: 14 [8192/10020]	Loss: 0.1877	LR: 0.020000
Training Epoch: 14 [8448/10020]	Loss: 0.1655	LR: 0.020000
Training Epoch: 14 [8704/10020]	Loss: 0.2005	LR: 0.020000
Training Epoch: 14 [8960/10020]	Loss: 0.1570	LR: 0.020000
Training Epoch: 14 [9216/10020]	Loss: 0.1720	LR: 0.020000
Training Epoch: 14 [9472/10020]	Loss: 0.1531	LR: 0.020000
Training Epoch: 14 [9728/10020]	Loss: 0.1394	LR: 0.020000
Training Epoch: 14 [9984/10020]	Loss: 0.1928	LR: 0.020000
Training Epoch: 14 [10020/10020]	Loss: 0.4469	LR: 0.020000
Epoch 14 - Average Train Loss: 0.1869, Train Accuracy: 0.9222
Epoch 14 training time consumed: 145.00s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0012, Accuracy: 0.8964, Time consumed:7.96s
Training Epoch: 15 [256/10020]	Loss: 0.1809	LR: 0.020000
Training Epoch: 15 [512/10020]	Loss: 0.1945	LR: 0.020000
Training Epoch: 15 [768/10020]	Loss: 0.1818	LR: 0.020000
Training Epoch: 15 [1024/10020]	Loss: 0.2299	LR: 0.020000
Training Epoch: 15 [1280/10020]	Loss: 0.1830	LR: 0.020000
Training Epoch: 15 [1536/10020]	Loss: 0.1771	LR: 0.020000
Training Epoch: 15 [1792/10020]	Loss: 0.1888	LR: 0.020000
Training Epoch: 15 [2048/10020]	Loss: 0.2349	LR: 0.020000
Training Epoch: 15 [2304/10020]	Loss: 0.1409	LR: 0.020000
Training Epoch: 15 [2560/10020]	Loss: 0.1660	LR: 0.020000
Training Epoch: 15 [2816/10020]	Loss: 0.1729	LR: 0.020000
Training Epoch: 15 [3072/10020]	Loss: 0.1340	LR: 0.020000
Training Epoch: 15 [3328/10020]	Loss: 0.2367	LR: 0.020000
Training Epoch: 15 [3584/10020]	Loss: 0.1891	LR: 0.020000
Training Epoch: 15 [3840/10020]	Loss: 0.1704	LR: 0.020000
Training Epoch: 15 [4096/10020]	Loss: 0.1461	LR: 0.020000
Training Epoch: 15 [4352/10020]	Loss: 0.2037	LR: 0.020000
Training Epoch: 15 [4608/10020]	Loss: 0.1553	LR: 0.020000
Training Epoch: 15 [4864/10020]	Loss: 0.1557	LR: 0.020000
Training Epoch: 15 [5120/10020]	Loss: 0.2345	LR: 0.020000
Training Epoch: 15 [5376/10020]	Loss: 0.1651	LR: 0.020000
Training Epoch: 15 [5632/10020]	Loss: 0.2467	LR: 0.020000
Training Epoch: 15 [5888/10020]	Loss: 0.1794	LR: 0.020000
Training Epoch: 15 [6144/10020]	Loss: 0.2047	LR: 0.020000
Training Epoch: 15 [6400/10020]	Loss: 0.1563	LR: 0.020000
Training Epoch: 15 [6656/10020]	Loss: 0.1723	LR: 0.020000
Training Epoch: 15 [6912/10020]	Loss: 0.1441	LR: 0.020000
Training Epoch: 15 [7168/10020]	Loss: 0.2133	LR: 0.020000
Training Epoch: 15 [7424/10020]	Loss: 0.1419	LR: 0.020000
Training Epoch: 15 [7680/10020]	Loss: 0.1344	LR: 0.020000
Training Epoch: 15 [7936/10020]	Loss: 0.1524	LR: 0.020000
Training Epoch: 15 [8192/10020]	Loss: 0.1720	LR: 0.020000
Training Epoch: 15 [8448/10020]	Loss: 0.2004	LR: 0.020000
Training Epoch: 15 [8704/10020]	Loss: 0.1801	LR: 0.020000
Training Epoch: 15 [8960/10020]	Loss: 0.1452	LR: 0.020000
Training Epoch: 15 [9216/10020]	Loss: 0.2117	LR: 0.020000
Training Epoch: 15 [9472/10020]	Loss: 0.1771	LR: 0.020000
Training Epoch: 15 [9728/10020]	Loss: 0.1511	LR: 0.020000
Training Epoch: 15 [9984/10020]	Loss: 0.1532	LR: 0.020000
Training Epoch: 15 [10020/10020]	Loss: 0.0859	LR: 0.020000
Epoch 15 - Average Train Loss: 0.1786, Train Accuracy: 0.9246
Epoch 15 training time consumed: 145.07s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0008, Accuracy: 0.9254, Time consumed:8.04s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-15-best.pth
Training Epoch: 16 [256/10020]	Loss: 0.1746	LR: 0.020000
Training Epoch: 16 [512/10020]	Loss: 0.1489	LR: 0.020000
Training Epoch: 16 [768/10020]	Loss: 0.2056	LR: 0.020000
Training Epoch: 16 [1024/10020]	Loss: 0.1741	LR: 0.020000
Training Epoch: 16 [1280/10020]	Loss: 0.1625	LR: 0.020000
Training Epoch: 16 [1536/10020]	Loss: 0.1788	LR: 0.020000
Training Epoch: 16 [1792/10020]	Loss: 0.1734	LR: 0.020000
Training Epoch: 16 [2048/10020]	Loss: 0.1246	LR: 0.020000
Training Epoch: 16 [2304/10020]	Loss: 0.1847	LR: 0.020000
Training Epoch: 16 [2560/10020]	Loss: 0.1652	LR: 0.020000
Training Epoch: 16 [2816/10020]	Loss: 0.2521	LR: 0.020000
Training Epoch: 16 [3072/10020]	Loss: 0.2033	LR: 0.020000
Training Epoch: 16 [3328/10020]	Loss: 0.1313	LR: 0.020000
Training Epoch: 16 [3584/10020]	Loss: 0.1634	LR: 0.020000
Training Epoch: 16 [3840/10020]	Loss: 0.1943	LR: 0.020000
Training Epoch: 16 [4096/10020]	Loss: 0.1599	LR: 0.020000
Training Epoch: 16 [4352/10020]	Loss: 0.1249	LR: 0.020000
Training Epoch: 16 [4608/10020]	Loss: 0.1772	LR: 0.020000
Training Epoch: 16 [4864/10020]	Loss: 0.1581	LR: 0.020000
Training Epoch: 16 [5120/10020]	Loss: 0.1885	LR: 0.020000
Training Epoch: 16 [5376/10020]	Loss: 0.1821	LR: 0.020000
Training Epoch: 16 [5632/10020]	Loss: 0.1798	LR: 0.020000
Training Epoch: 16 [5888/10020]	Loss: 0.1792	LR: 0.020000
Training Epoch: 16 [6144/10020]	Loss: 0.1468	LR: 0.020000
Training Epoch: 16 [6400/10020]	Loss: 0.1850	LR: 0.020000
Training Epoch: 16 [6656/10020]	Loss: 0.1580	LR: 0.020000
Training Epoch: 16 [6912/10020]	Loss: 0.2387	LR: 0.020000
Training Epoch: 16 [7168/10020]	Loss: 0.1949	LR: 0.020000
Training Epoch: 16 [7424/10020]	Loss: 0.1459	LR: 0.020000
Training Epoch: 16 [7680/10020]	Loss: 0.1203	LR: 0.020000
Training Epoch: 16 [7936/10020]	Loss: 0.2551	LR: 0.020000
Training Epoch: 16 [8192/10020]	Loss: 0.1401	LR: 0.020000
Training Epoch: 16 [8448/10020]	Loss: 0.1785	LR: 0.020000
Training Epoch: 16 [8704/10020]	Loss: 0.1841	LR: 0.020000
Training Epoch: 16 [8960/10020]	Loss: 0.1724	LR: 0.020000
Training Epoch: 16 [9216/10020]	Loss: 0.2082	LR: 0.020000
Training Epoch: 16 [9472/10020]	Loss: 0.1725	LR: 0.020000
Training Epoch: 16 [9728/10020]	Loss: 0.1514	LR: 0.020000
Training Epoch: 16 [9984/10020]	Loss: 0.1439	LR: 0.020000
Training Epoch: 16 [10020/10020]	Loss: 0.1802	LR: 0.020000
Epoch 16 - Average Train Loss: 0.1739, Train Accuracy: 0.9261
Epoch 16 training time consumed: 144.93s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0007, Accuracy: 0.9283, Time consumed:8.05s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-16-best.pth
Training Epoch: 17 [256/10020]	Loss: 0.2004	LR: 0.020000
Training Epoch: 17 [512/10020]	Loss: 0.1506	LR: 0.020000
Training Epoch: 17 [768/10020]	Loss: 0.1544	LR: 0.020000
Training Epoch: 17 [1024/10020]	Loss: 0.1822	LR: 0.020000
Training Epoch: 17 [1280/10020]	Loss: 0.1737	LR: 0.020000
Training Epoch: 17 [1536/10020]	Loss: 0.1559	LR: 0.020000
Training Epoch: 17 [1792/10020]	Loss: 0.2192	LR: 0.020000
Training Epoch: 17 [2048/10020]	Loss: 0.1447	LR: 0.020000
Training Epoch: 17 [2304/10020]	Loss: 0.2141	LR: 0.020000
Training Epoch: 17 [2560/10020]	Loss: 0.1855	LR: 0.020000
Training Epoch: 17 [2816/10020]	Loss: 0.1597	LR: 0.020000
Training Epoch: 17 [3072/10020]	Loss: 0.1392	LR: 0.020000
Training Epoch: 17 [3328/10020]	Loss: 0.1969	LR: 0.020000
Training Epoch: 17 [3584/10020]	Loss: 0.2210	LR: 0.020000
Training Epoch: 17 [3840/10020]	Loss: 0.1728	LR: 0.020000
Training Epoch: 17 [4096/10020]	Loss: 0.1845	LR: 0.020000
Training Epoch: 17 [4352/10020]	Loss: 0.1111	LR: 0.020000
Training Epoch: 17 [4608/10020]	Loss: 0.1759	LR: 0.020000
Training Epoch: 17 [4864/10020]	Loss: 0.1668	LR: 0.020000
Training Epoch: 17 [5120/10020]	Loss: 0.1486	LR: 0.020000
Training Epoch: 17 [5376/10020]	Loss: 0.2257	LR: 0.020000
Training Epoch: 17 [5632/10020]	Loss: 0.2021	LR: 0.020000
Training Epoch: 17 [5888/10020]	Loss: 0.1801	LR: 0.020000
Training Epoch: 17 [6144/10020]	Loss: 0.1808	LR: 0.020000
Training Epoch: 17 [6400/10020]	Loss: 0.1950	LR: 0.020000
Training Epoch: 17 [6656/10020]	Loss: 0.1817	LR: 0.020000
Training Epoch: 17 [6912/10020]	Loss: 0.2021	LR: 0.020000
Training Epoch: 17 [7168/10020]	Loss: 0.1809	LR: 0.020000
Training Epoch: 17 [7424/10020]	Loss: 0.1460	LR: 0.020000
Training Epoch: 17 [7680/10020]	Loss: 0.1736	LR: 0.020000
Training Epoch: 17 [7936/10020]	Loss: 0.1663	LR: 0.020000
Training Epoch: 17 [8192/10020]	Loss: 0.1356	LR: 0.020000
Training Epoch: 17 [8448/10020]	Loss: 0.1487	LR: 0.020000
Training Epoch: 17 [8704/10020]	Loss: 0.1359	LR: 0.020000
Training Epoch: 17 [8960/10020]	Loss: 0.1691	LR: 0.020000
Training Epoch: 17 [9216/10020]	Loss: 0.1735	LR: 0.020000
Training Epoch: 17 [9472/10020]	Loss: 0.1797	LR: 0.020000
Training Epoch: 17 [9728/10020]	Loss: 0.1082	LR: 0.020000
Training Epoch: 17 [9984/10020]	Loss: 0.1209	LR: 0.020000
Training Epoch: 17 [10020/10020]	Loss: 0.1187	LR: 0.020000
Epoch 17 - Average Train Loss: 0.1707, Train Accuracy: 0.9296
Epoch 17 training time consumed: 145.54s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0006, Accuracy: 0.9351, Time consumed:7.91s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-17-best.pth
Training Epoch: 18 [256/10020]	Loss: 0.1350	LR: 0.020000
Training Epoch: 18 [512/10020]	Loss: 0.1865	LR: 0.020000
Training Epoch: 18 [768/10020]	Loss: 0.1368	LR: 0.020000
Training Epoch: 18 [1024/10020]	Loss: 0.1660	LR: 0.020000
Training Epoch: 18 [1280/10020]	Loss: 0.1702	LR: 0.020000
Training Epoch: 18 [1536/10020]	Loss: 0.2422	LR: 0.020000
Training Epoch: 18 [1792/10020]	Loss: 0.1759	LR: 0.020000
Training Epoch: 18 [2048/10020]	Loss: 0.1632	LR: 0.020000
Training Epoch: 18 [2304/10020]	Loss: 0.1591	LR: 0.020000
Training Epoch: 18 [2560/10020]	Loss: 0.1578	LR: 0.020000
Training Epoch: 18 [2816/10020]	Loss: 0.2083	LR: 0.020000
Training Epoch: 18 [3072/10020]	Loss: 0.1268	LR: 0.020000
Training Epoch: 18 [3328/10020]	Loss: 0.1740	LR: 0.020000
Training Epoch: 18 [3584/10020]	Loss: 0.1029	LR: 0.020000
Training Epoch: 18 [3840/10020]	Loss: 0.1286	LR: 0.020000
Training Epoch: 18 [4096/10020]	Loss: 0.2428	LR: 0.020000
Training Epoch: 18 [4352/10020]	Loss: 0.1365	LR: 0.020000
Training Epoch: 18 [4608/10020]	Loss: 0.1623	LR: 0.020000
Training Epoch: 18 [4864/10020]	Loss: 0.1298	LR: 0.020000
Training Epoch: 18 [5120/10020]	Loss: 0.1644	LR: 0.020000
Training Epoch: 18 [5376/10020]	Loss: 0.1840	LR: 0.020000
Training Epoch: 18 [5632/10020]	Loss: 0.1884	LR: 0.020000
Training Epoch: 18 [5888/10020]	Loss: 0.1785	LR: 0.020000
Training Epoch: 18 [6144/10020]	Loss: 0.1448	LR: 0.020000
Training Epoch: 18 [6400/10020]	Loss: 0.1364	LR: 0.020000
Training Epoch: 18 [6656/10020]	Loss: 0.1723	LR: 0.020000
Training Epoch: 18 [6912/10020]	Loss: 0.2083	LR: 0.020000
Training Epoch: 18 [7168/10020]	Loss: 0.1442	LR: 0.020000
Training Epoch: 18 [7424/10020]	Loss: 0.1299	LR: 0.020000
Training Epoch: 18 [7680/10020]	Loss: 0.1416	LR: 0.020000
Training Epoch: 18 [7936/10020]	Loss: 0.1416	LR: 0.020000
Training Epoch: 18 [8192/10020]	Loss: 0.1446	LR: 0.020000
Training Epoch: 18 [8448/10020]	Loss: 0.1269	LR: 0.020000
Training Epoch: 18 [8704/10020]	Loss: 0.1530	LR: 0.020000
Training Epoch: 18 [8960/10020]	Loss: 0.0963	LR: 0.020000
Training Epoch: 18 [9216/10020]	Loss: 0.1939	LR: 0.020000
Training Epoch: 18 [9472/10020]	Loss: 0.1563	LR: 0.020000
Training Epoch: 18 [9728/10020]	Loss: 0.1558	LR: 0.020000
Training Epoch: 18 [9984/10020]	Loss: 0.1937	LR: 0.020000
Training Epoch: 18 [10020/10020]	Loss: 0.1212	LR: 0.020000
Epoch 18 - Average Train Loss: 0.1604, Train Accuracy: 0.9339
Epoch 18 training time consumed: 145.40s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0007, Accuracy: 0.9361, Time consumed:8.04s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-18-best.pth
Training Epoch: 19 [256/10020]	Loss: 0.1458	LR: 0.020000
Training Epoch: 19 [512/10020]	Loss: 0.1297	LR: 0.020000
Training Epoch: 19 [768/10020]	Loss: 0.1693	LR: 0.020000
Training Epoch: 19 [1024/10020]	Loss: 0.1757	LR: 0.020000
Training Epoch: 19 [1280/10020]	Loss: 0.1370	LR: 0.020000
Training Epoch: 19 [1536/10020]	Loss: 0.2034	LR: 0.020000
Training Epoch: 19 [1792/10020]	Loss: 0.2248	LR: 0.020000
Training Epoch: 19 [2048/10020]	Loss: 0.1579	LR: 0.020000
Training Epoch: 19 [2304/10020]	Loss: 0.1433	LR: 0.020000
Training Epoch: 19 [2560/10020]	Loss: 0.1612	LR: 0.020000
Training Epoch: 19 [2816/10020]	Loss: 0.2514	LR: 0.020000
Training Epoch: 19 [3072/10020]	Loss: 0.1989	LR: 0.020000
Training Epoch: 19 [3328/10020]	Loss: 0.1358	LR: 0.020000
Training Epoch: 19 [3584/10020]	Loss: 0.1517	LR: 0.020000
Training Epoch: 19 [3840/10020]	Loss: 0.2027	LR: 0.020000
Training Epoch: 19 [4096/10020]	Loss: 0.1635	LR: 0.020000
Training Epoch: 19 [4352/10020]	Loss: 0.1696	LR: 0.020000
Training Epoch: 19 [4608/10020]	Loss: 0.1366	LR: 0.020000
Training Epoch: 19 [4864/10020]	Loss: 0.1545	LR: 0.020000
Training Epoch: 19 [5120/10020]	Loss: 0.2062	LR: 0.020000
Training Epoch: 19 [5376/10020]	Loss: 0.1107	LR: 0.020000
Training Epoch: 19 [5632/10020]	Loss: 0.0914	LR: 0.020000
Training Epoch: 19 [5888/10020]	Loss: 0.1610	LR: 0.020000
Training Epoch: 19 [6144/10020]	Loss: 0.1114	LR: 0.020000
Training Epoch: 19 [6400/10020]	Loss: 0.1870	LR: 0.020000
Training Epoch: 19 [6656/10020]	Loss: 0.1796	LR: 0.020000
Training Epoch: 19 [6912/10020]	Loss: 0.2450	LR: 0.020000
Training Epoch: 19 [7168/10020]	Loss: 0.1685	LR: 0.020000
Training Epoch: 19 [7424/10020]	Loss: 0.1390	LR: 0.020000
Training Epoch: 19 [7680/10020]	Loss: 0.1563	LR: 0.020000
Training Epoch: 19 [7936/10020]	Loss: 0.1442	LR: 0.020000
Training Epoch: 19 [8192/10020]	Loss: 0.1433	LR: 0.020000
Training Epoch: 19 [8448/10020]	Loss: 0.1756	LR: 0.020000
Training Epoch: 19 [8704/10020]	Loss: 0.1507	LR: 0.020000
Training Epoch: 19 [8960/10020]	Loss: 0.1639	LR: 0.020000
Training Epoch: 19 [9216/10020]	Loss: 0.1735	LR: 0.020000
Training Epoch: 19 [9472/10020]	Loss: 0.1526	LR: 0.020000
Training Epoch: 19 [9728/10020]	Loss: 0.1714	LR: 0.020000
Training Epoch: 19 [9984/10020]	Loss: 0.1319	LR: 0.020000
Training Epoch: 19 [10020/10020]	Loss: 0.1442	LR: 0.020000
Epoch 19 - Average Train Loss: 0.1634, Train Accuracy: 0.9322
Epoch 19 training time consumed: 145.35s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0008, Accuracy: 0.9206, Time consumed:7.93s
Training Epoch: 20 [256/10020]	Loss: 0.0963	LR: 0.004000
Training Epoch: 20 [512/10020]	Loss: 0.2129	LR: 0.004000
Training Epoch: 20 [768/10020]	Loss: 0.1667	LR: 0.004000
Training Epoch: 20 [1024/10020]	Loss: 0.1970	LR: 0.004000
Training Epoch: 20 [1280/10020]	Loss: 0.1303	LR: 0.004000
Training Epoch: 20 [1536/10020]	Loss: 0.1573	LR: 0.004000
Training Epoch: 20 [1792/10020]	Loss: 0.2599	LR: 0.004000
Training Epoch: 20 [2048/10020]	Loss: 0.1729	LR: 0.004000
Training Epoch: 20 [2304/10020]	Loss: 0.1553	LR: 0.004000
Training Epoch: 20 [2560/10020]	Loss: 0.1107	LR: 0.004000
Training Epoch: 20 [2816/10020]	Loss: 0.1713	LR: 0.004000
Training Epoch: 20 [3072/10020]	Loss: 0.1374	LR: 0.004000
Training Epoch: 20 [3328/10020]	Loss: 0.2137	LR: 0.004000
Training Epoch: 20 [3584/10020]	Loss: 0.1618	LR: 0.004000
Training Epoch: 20 [3840/10020]	Loss: 0.1529	LR: 0.004000
Training Epoch: 20 [4096/10020]	Loss: 0.1540	LR: 0.004000
Training Epoch: 20 [4352/10020]	Loss: 0.1338	LR: 0.004000
Training Epoch: 20 [4608/10020]	Loss: 0.1927	LR: 0.004000
Training Epoch: 20 [4864/10020]	Loss: 0.1576	LR: 0.004000
Training Epoch: 20 [5120/10020]	Loss: 0.0762	LR: 0.004000
Training Epoch: 20 [5376/10020]	Loss: 0.1427	LR: 0.004000
Training Epoch: 20 [5632/10020]	Loss: 0.1059	LR: 0.004000
Training Epoch: 20 [5888/10020]	Loss: 0.1157	LR: 0.004000
Training Epoch: 20 [6144/10020]	Loss: 0.1432	LR: 0.004000
Training Epoch: 20 [6400/10020]	Loss: 0.1715	LR: 0.004000
Training Epoch: 20 [6656/10020]	Loss: 0.1339	LR: 0.004000
Training Epoch: 20 [6912/10020]	Loss: 0.1382	LR: 0.004000
Training Epoch: 20 [7168/10020]	Loss: 0.1280	LR: 0.004000
Training Epoch: 20 [7424/10020]	Loss: 0.2005	LR: 0.004000
Training Epoch: 20 [7680/10020]	Loss: 0.1510	LR: 0.004000
Training Epoch: 20 [7936/10020]	Loss: 0.1948	LR: 0.004000
Training Epoch: 20 [8192/10020]	Loss: 0.1792	LR: 0.004000
Training Epoch: 20 [8448/10020]	Loss: 0.1370	LR: 0.004000
Training Epoch: 20 [8704/10020]	Loss: 0.1939	LR: 0.004000
Training Epoch: 20 [8960/10020]	Loss: 0.1380	LR: 0.004000
Training Epoch: 20 [9216/10020]	Loss: 0.1151	LR: 0.004000
Training Epoch: 20 [9472/10020]	Loss: 0.1194	LR: 0.004000
Training Epoch: 20 [9728/10020]	Loss: 0.1382	LR: 0.004000
Training Epoch: 20 [9984/10020]	Loss: 0.1460	LR: 0.004000
Training Epoch: 20 [10020/10020]	Loss: 0.1819	LR: 0.004000
Epoch 20 - Average Train Loss: 0.1540, Train Accuracy: 0.9337
Epoch 20 training time consumed: 144.48s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0006, Accuracy: 0.9404, Time consumed:8.14s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-20-best.pth
Training Epoch: 21 [256/10020]	Loss: 0.1340	LR: 0.004000
Training Epoch: 21 [512/10020]	Loss: 0.1371	LR: 0.004000
Training Epoch: 21 [768/10020]	Loss: 0.1530	LR: 0.004000
Training Epoch: 21 [1024/10020]	Loss: 0.1436	LR: 0.004000
Training Epoch: 21 [1280/10020]	Loss: 0.1964	LR: 0.004000
Training Epoch: 21 [1536/10020]	Loss: 0.1408	LR: 0.004000
Training Epoch: 21 [1792/10020]	Loss: 0.1401	LR: 0.004000
Training Epoch: 21 [2048/10020]	Loss: 0.1538	LR: 0.004000
Training Epoch: 21 [2304/10020]	Loss: 0.1478	LR: 0.004000
Training Epoch: 21 [2560/10020]	Loss: 0.1389	LR: 0.004000
Training Epoch: 21 [2816/10020]	Loss: 0.1458	LR: 0.004000
Training Epoch: 21 [3072/10020]	Loss: 0.1280	LR: 0.004000
Training Epoch: 21 [3328/10020]	Loss: 0.2033	LR: 0.004000
Training Epoch: 21 [3584/10020]	Loss: 0.1579	LR: 0.004000
Training Epoch: 21 [3840/10020]	Loss: 0.1573	LR: 0.004000
Training Epoch: 21 [4096/10020]	Loss: 0.1517	LR: 0.004000
Training Epoch: 21 [4352/10020]	Loss: 0.1366	LR: 0.004000
Training Epoch: 21 [4608/10020]	Loss: 0.1510	LR: 0.004000
Training Epoch: 21 [4864/10020]	Loss: 0.1466	LR: 0.004000
Training Epoch: 21 [5120/10020]	Loss: 0.1343	LR: 0.004000
Training Epoch: 21 [5376/10020]	Loss: 0.1346	LR: 0.004000
Training Epoch: 21 [5632/10020]	Loss: 0.1446	LR: 0.004000
Training Epoch: 21 [5888/10020]	Loss: 0.1419	LR: 0.004000
Training Epoch: 21 [6144/10020]	Loss: 0.1677	LR: 0.004000
Training Epoch: 21 [6400/10020]	Loss: 0.1143	LR: 0.004000
Training Epoch: 21 [6656/10020]	Loss: 0.1329	LR: 0.004000
Training Epoch: 21 [6912/10020]	Loss: 0.1347	LR: 0.004000
Training Epoch: 21 [7168/10020]	Loss: 0.1005	LR: 0.004000
Training Epoch: 21 [7424/10020]	Loss: 0.1237	LR: 0.004000
Training Epoch: 21 [7680/10020]	Loss: 0.1052	LR: 0.004000
Training Epoch: 21 [7936/10020]	Loss: 0.1038	LR: 0.004000
Training Epoch: 21 [8192/10020]	Loss: 0.1372	LR: 0.004000
Training Epoch: 21 [8448/10020]	Loss: 0.1836	LR: 0.004000
Training Epoch: 21 [8704/10020]	Loss: 0.1601	LR: 0.004000
Training Epoch: 21 [8960/10020]	Loss: 0.1401	LR: 0.004000
Training Epoch: 21 [9216/10020]	Loss: 0.1299	LR: 0.004000
Training Epoch: 21 [9472/10020]	Loss: 0.1343	LR: 0.004000
Training Epoch: 21 [9728/10020]	Loss: 0.1366	LR: 0.004000
Training Epoch: 21 [9984/10020]	Loss: 0.1620	LR: 0.004000
Training Epoch: 21 [10020/10020]	Loss: 0.2515	LR: 0.004000
Epoch 21 - Average Train Loss: 0.1436, Train Accuracy: 0.9392
Epoch 21 training time consumed: 145.02s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0006, Accuracy: 0.9438, Time consumed:8.08s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-21-best.pth
Training Epoch: 22 [256/10020]	Loss: 0.1408	LR: 0.004000
Training Epoch: 22 [512/10020]	Loss: 0.1270	LR: 0.004000
Training Epoch: 22 [768/10020]	Loss: 0.1375	LR: 0.004000
Training Epoch: 22 [1024/10020]	Loss: 0.1756	LR: 0.004000
Training Epoch: 22 [1280/10020]	Loss: 0.1351	LR: 0.004000
Training Epoch: 22 [1536/10020]	Loss: 0.1252	LR: 0.004000
Training Epoch: 22 [1792/10020]	Loss: 0.1416	LR: 0.004000
Training Epoch: 22 [2048/10020]	Loss: 0.1407	LR: 0.004000
Training Epoch: 22 [2304/10020]	Loss: 0.1851	LR: 0.004000
Training Epoch: 22 [2560/10020]	Loss: 0.1256	LR: 0.004000
Training Epoch: 22 [2816/10020]	Loss: 0.0997	LR: 0.004000
Training Epoch: 22 [3072/10020]	Loss: 0.1347	LR: 0.004000
Training Epoch: 22 [3328/10020]	Loss: 0.1513	LR: 0.004000
Training Epoch: 22 [3584/10020]	Loss: 0.1485	LR: 0.004000
Training Epoch: 22 [3840/10020]	Loss: 0.1176	LR: 0.004000
Training Epoch: 22 [4096/10020]	Loss: 0.1211	LR: 0.004000
Training Epoch: 22 [4352/10020]	Loss: 0.1121	LR: 0.004000
Training Epoch: 22 [4608/10020]	Loss: 0.1560	LR: 0.004000
Training Epoch: 22 [4864/10020]	Loss: 0.1346	LR: 0.004000
Training Epoch: 22 [5120/10020]	Loss: 0.1180	LR: 0.004000
Training Epoch: 22 [5376/10020]	Loss: 0.1888	LR: 0.004000
Training Epoch: 22 [5632/10020]	Loss: 0.1711	LR: 0.004000
Training Epoch: 22 [5888/10020]	Loss: 0.1119	LR: 0.004000
Training Epoch: 22 [6144/10020]	Loss: 0.1772	LR: 0.004000
Training Epoch: 22 [6400/10020]	Loss: 0.1656	LR: 0.004000
Training Epoch: 22 [6656/10020]	Loss: 0.1250	LR: 0.004000
Training Epoch: 22 [6912/10020]	Loss: 0.1147	LR: 0.004000
Training Epoch: 22 [7168/10020]	Loss: 0.1643	LR: 0.004000
Training Epoch: 22 [7424/10020]	Loss: 0.1118	LR: 0.004000
Training Epoch: 22 [7680/10020]	Loss: 0.1600	LR: 0.004000
Training Epoch: 22 [7936/10020]	Loss: 0.1439	LR: 0.004000
Training Epoch: 22 [8192/10020]	Loss: 0.1559	LR: 0.004000
Training Epoch: 22 [8448/10020]	Loss: 0.1525	LR: 0.004000
Training Epoch: 22 [8704/10020]	Loss: 0.1596	LR: 0.004000
Training Epoch: 22 [8960/10020]	Loss: 0.1368	LR: 0.004000
Training Epoch: 22 [9216/10020]	Loss: 0.1095	LR: 0.004000
Training Epoch: 22 [9472/10020]	Loss: 0.1531	LR: 0.004000
Training Epoch: 22 [9728/10020]	Loss: 0.1447	LR: 0.004000
Training Epoch: 22 [9984/10020]	Loss: 0.1255	LR: 0.004000
Training Epoch: 22 [10020/10020]	Loss: 0.0597	LR: 0.004000
Epoch 22 - Average Train Loss: 0.1407, Train Accuracy: 0.9407
Epoch 22 training time consumed: 145.13s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0006, Accuracy: 0.9448, Time consumed:7.82s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-22-best.pth
Training Epoch: 23 [256/10020]	Loss: 0.1248	LR: 0.004000
Training Epoch: 23 [512/10020]	Loss: 0.1541	LR: 0.004000
Training Epoch: 23 [768/10020]	Loss: 0.1128	LR: 0.004000
Training Epoch: 23 [1024/10020]	Loss: 0.1462	LR: 0.004000
Training Epoch: 23 [1280/10020]	Loss: 0.1460	LR: 0.004000
Training Epoch: 23 [1536/10020]	Loss: 0.1072	LR: 0.004000
Training Epoch: 23 [1792/10020]	Loss: 0.1807	LR: 0.004000
Training Epoch: 23 [2048/10020]	Loss: 0.0852	LR: 0.004000
Training Epoch: 23 [2304/10020]	Loss: 0.1660	LR: 0.004000
Training Epoch: 23 [2560/10020]	Loss: 0.1521	LR: 0.004000
Training Epoch: 23 [2816/10020]	Loss: 0.1075	LR: 0.004000
Training Epoch: 23 [3072/10020]	Loss: 0.1377	LR: 0.004000
Training Epoch: 23 [3328/10020]	Loss: 0.1481	LR: 0.004000
Training Epoch: 23 [3584/10020]	Loss: 0.1903	LR: 0.004000
Training Epoch: 23 [3840/10020]	Loss: 0.1211	LR: 0.004000
Training Epoch: 23 [4096/10020]	Loss: 0.1456	LR: 0.004000
Training Epoch: 23 [4352/10020]	Loss: 0.1235	LR: 0.004000
Training Epoch: 23 [4608/10020]	Loss: 0.1441	LR: 0.004000
Training Epoch: 23 [4864/10020]	Loss: 0.1323	LR: 0.004000
Training Epoch: 23 [5120/10020]	Loss: 0.1634	LR: 0.004000
Training Epoch: 23 [5376/10020]	Loss: 0.1513	LR: 0.004000
Training Epoch: 23 [5632/10020]	Loss: 0.1126	LR: 0.004000
Training Epoch: 23 [5888/10020]	Loss: 0.1731	LR: 0.004000
Training Epoch: 23 [6144/10020]	Loss: 0.1371	LR: 0.004000
Training Epoch: 23 [6400/10020]	Loss: 0.1118	LR: 0.004000
Training Epoch: 23 [6656/10020]	Loss: 0.1904	LR: 0.004000
Training Epoch: 23 [6912/10020]	Loss: 0.1139	LR: 0.004000
Training Epoch: 23 [7168/10020]	Loss: 0.1344	LR: 0.004000
Training Epoch: 23 [7424/10020]	Loss: 0.1431	LR: 0.004000
Training Epoch: 23 [7680/10020]	Loss: 0.1235	LR: 0.004000
Training Epoch: 23 [7936/10020]	Loss: 0.1123	LR: 0.004000
Training Epoch: 23 [8192/10020]	Loss: 0.1315	LR: 0.004000
Training Epoch: 23 [8448/10020]	Loss: 0.1444	LR: 0.004000
Training Epoch: 23 [8704/10020]	Loss: 0.1166	LR: 0.004000
Training Epoch: 23 [8960/10020]	Loss: 0.1440	LR: 0.004000
Training Epoch: 23 [9216/10020]	Loss: 0.1341	LR: 0.004000
Training Epoch: 23 [9472/10020]	Loss: 0.1545	LR: 0.004000
Training Epoch: 23 [9728/10020]	Loss: 0.1334	LR: 0.004000
Training Epoch: 23 [9984/10020]	Loss: 0.1308	LR: 0.004000
Training Epoch: 23 [10020/10020]	Loss: 0.1292	LR: 0.004000
Epoch 23 - Average Train Loss: 0.1380, Train Accuracy: 0.9413
Epoch 23 training time consumed: 144.28s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0006, Accuracy: 0.9370, Time consumed:7.96s
Training Epoch: 24 [256/10020]	Loss: 0.1353	LR: 0.004000
Training Epoch: 24 [512/10020]	Loss: 0.1501	LR: 0.004000
Training Epoch: 24 [768/10020]	Loss: 0.1358	LR: 0.004000
Training Epoch: 24 [1024/10020]	Loss: 0.1645	LR: 0.004000
Training Epoch: 24 [1280/10020]	Loss: 0.1416	LR: 0.004000
Training Epoch: 24 [1536/10020]	Loss: 0.1381	LR: 0.004000
Training Epoch: 24 [1792/10020]	Loss: 0.1273	LR: 0.004000
Training Epoch: 24 [2048/10020]	Loss: 0.1989	LR: 0.004000
Training Epoch: 24 [2304/10020]	Loss: 0.1739	LR: 0.004000
Training Epoch: 24 [2560/10020]	Loss: 0.1383	LR: 0.004000
Training Epoch: 24 [2816/10020]	Loss: 0.1214	LR: 0.004000
Training Epoch: 24 [3072/10020]	Loss: 0.1188	LR: 0.004000
Training Epoch: 24 [3328/10020]	Loss: 0.0862	LR: 0.004000
Training Epoch: 24 [3584/10020]	Loss: 0.1247	LR: 0.004000
Training Epoch: 24 [3840/10020]	Loss: 0.1357	LR: 0.004000
Training Epoch: 24 [4096/10020]	Loss: 0.0968	LR: 0.004000
Training Epoch: 24 [4352/10020]	Loss: 0.1181	LR: 0.004000
Training Epoch: 24 [4608/10020]	Loss: 0.1151	LR: 0.004000
Training Epoch: 24 [4864/10020]	Loss: 0.1398	LR: 0.004000
Training Epoch: 24 [5120/10020]	Loss: 0.1474	LR: 0.004000
Training Epoch: 24 [5376/10020]	Loss: 0.1455	LR: 0.004000
Training Epoch: 24 [5632/10020]	Loss: 0.1077	LR: 0.004000
Training Epoch: 24 [5888/10020]	Loss: 0.1067	LR: 0.004000
Training Epoch: 24 [6144/10020]	Loss: 0.1446	LR: 0.004000
Training Epoch: 24 [6400/10020]	Loss: 0.1745	LR: 0.004000
Training Epoch: 24 [6656/10020]	Loss: 0.1327	LR: 0.004000
Training Epoch: 24 [6912/10020]	Loss: 0.0973	LR: 0.004000
Training Epoch: 24 [7168/10020]	Loss: 0.1310	LR: 0.004000
Training Epoch: 24 [7424/10020]	Loss: 0.1964	LR: 0.004000
Training Epoch: 24 [7680/10020]	Loss: 0.0897	LR: 0.004000
Training Epoch: 24 [7936/10020]	Loss: 0.1334	LR: 0.004000
Training Epoch: 24 [8192/10020]	Loss: 0.1343	LR: 0.004000
Training Epoch: 24 [8448/10020]	Loss: 0.1250	LR: 0.004000
Training Epoch: 24 [8704/10020]	Loss: 0.1520	LR: 0.004000
Training Epoch: 24 [8960/10020]	Loss: 0.1703	LR: 0.004000
Training Epoch: 24 [9216/10020]	Loss: 0.0999	LR: 0.004000
Training Epoch: 24 [9472/10020]	Loss: 0.1420	LR: 0.004000
Training Epoch: 24 [9728/10020]	Loss: 0.1517	LR: 0.004000
Training Epoch: 24 [9984/10020]	Loss: 0.1565	LR: 0.004000
Training Epoch: 24 [10020/10020]	Loss: 0.1469	LR: 0.004000
Epoch 24 - Average Train Loss: 0.1359, Train Accuracy: 0.9440
Epoch 24 training time consumed: 144.26s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0005, Accuracy: 0.9443, Time consumed:7.84s
Training Epoch: 25 [256/10020]	Loss: 0.1650	LR: 0.004000
Training Epoch: 25 [512/10020]	Loss: 0.1026	LR: 0.004000
Training Epoch: 25 [768/10020]	Loss: 0.1187	LR: 0.004000
Training Epoch: 25 [1024/10020]	Loss: 0.1314	LR: 0.004000
Training Epoch: 25 [1280/10020]	Loss: 0.1277	LR: 0.004000
Training Epoch: 25 [1536/10020]	Loss: 0.1044	LR: 0.004000
Training Epoch: 25 [1792/10020]	Loss: 0.1444	LR: 0.004000
Training Epoch: 25 [2048/10020]	Loss: 0.0974	LR: 0.004000
Training Epoch: 25 [2304/10020]	Loss: 0.1328	LR: 0.004000
Training Epoch: 25 [2560/10020]	Loss: 0.1444	LR: 0.004000
Training Epoch: 25 [2816/10020]	Loss: 0.0952	LR: 0.004000
Training Epoch: 25 [3072/10020]	Loss: 0.1472	LR: 0.004000
Training Epoch: 25 [3328/10020]	Loss: 0.1491	LR: 0.004000
Training Epoch: 25 [3584/10020]	Loss: 0.1350	LR: 0.004000
Training Epoch: 25 [3840/10020]	Loss: 0.2019	LR: 0.004000
Training Epoch: 25 [4096/10020]	Loss: 0.1442	LR: 0.004000
Training Epoch: 25 [4352/10020]	Loss: 0.1470	LR: 0.004000
Training Epoch: 25 [4608/10020]	Loss: 0.1318	LR: 0.004000
Training Epoch: 25 [4864/10020]	Loss: 0.0901	LR: 0.004000
Training Epoch: 25 [5120/10020]	Loss: 0.1511	LR: 0.004000
Training Epoch: 25 [5376/10020]	Loss: 0.1365	LR: 0.004000
Training Epoch: 25 [5632/10020]	Loss: 0.1732	LR: 0.004000
Training Epoch: 25 [5888/10020]	Loss: 0.1124	LR: 0.004000
Training Epoch: 25 [6144/10020]	Loss: 0.1233	LR: 0.004000
Training Epoch: 25 [6400/10020]	Loss: 0.1337	LR: 0.004000
Training Epoch: 25 [6656/10020]	Loss: 0.1050	LR: 0.004000
Training Epoch: 25 [6912/10020]	Loss: 0.1290	LR: 0.004000
Training Epoch: 25 [7168/10020]	Loss: 0.1592	LR: 0.004000
Training Epoch: 25 [7424/10020]	Loss: 0.1240	LR: 0.004000
Training Epoch: 25 [7680/10020]	Loss: 0.0981	LR: 0.004000
Training Epoch: 25 [7936/10020]	Loss: 0.1258	LR: 0.004000
Training Epoch: 25 [8192/10020]	Loss: 0.1526	LR: 0.004000
Training Epoch: 25 [8448/10020]	Loss: 0.1440	LR: 0.004000
Training Epoch: 25 [8704/10020]	Loss: 0.1688	LR: 0.004000
Training Epoch: 25 [8960/10020]	Loss: 0.1488	LR: 0.004000
Training Epoch: 25 [9216/10020]	Loss: 0.1138	LR: 0.004000
Training Epoch: 25 [9472/10020]	Loss: 0.1215	LR: 0.004000
Training Epoch: 25 [9728/10020]	Loss: 0.1473	LR: 0.004000
Training Epoch: 25 [9984/10020]	Loss: 0.1354	LR: 0.004000
Training Epoch: 25 [10020/10020]	Loss: 0.3572	LR: 0.004000
Epoch 25 - Average Train Loss: 0.1345, Train Accuracy: 0.9434
Epoch 25 training time consumed: 144.59s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0005, Accuracy: 0.9458, Time consumed:8.08s
Saving weights file to checkpoint/retrain/ResNet18/Sunday_27_July_2025_04h_05m_31s/ResNet18-MUCAC-seed6-ret50-25-best.pth
Training Epoch: 26 [256/10020]	Loss: 0.1606	LR: 0.004000
Training Epoch: 26 [512/10020]	Loss: 0.1040	LR: 0.004000
Training Epoch: 26 [768/10020]	Loss: 0.1688	LR: 0.004000
Training Epoch: 26 [1024/10020]	Loss: 0.1481	LR: 0.004000
Training Epoch: 26 [1280/10020]	Loss: 0.1291	LR: 0.004000
Training Epoch: 26 [1536/10020]	Loss: 0.1222	LR: 0.004000
Training Epoch: 26 [1792/10020]	Loss: 0.1222	LR: 0.004000
Training Epoch: 26 [2048/10020]	Loss: 0.1092	LR: 0.004000
Training Epoch: 26 [2304/10020]	Loss: 0.1426	LR: 0.004000
Training Epoch: 26 [2560/10020]	Loss: 0.1023	LR: 0.004000
Training Epoch: 26 [2816/10020]	Loss: 0.1291	LR: 0.004000
Training Epoch: 26 [3072/10020]	Loss: 0.1241	LR: 0.004000
Training Epoch: 26 [3328/10020]	Loss: 0.0983	LR: 0.004000
Training Epoch: 26 [3584/10020]	Loss: 0.1368	LR: 0.004000
Training Epoch: 26 [3840/10020]	Loss: 0.1274	LR: 0.004000
Training Epoch: 26 [4096/10020]	Loss: 0.1180	LR: 0.004000
Training Epoch: 26 [4352/10020]	Loss: 0.1224	LR: 0.004000
Training Epoch: 26 [4608/10020]	Loss: 0.1133	LR: 0.004000
Training Epoch: 26 [4864/10020]	Loss: 0.1190	LR: 0.004000
Training Epoch: 26 [5120/10020]	Loss: 0.1401	LR: 0.004000
Training Epoch: 26 [5376/10020]	Loss: 0.1514	LR: 0.004000
Training Epoch: 26 [5632/10020]	Loss: 0.1684	LR: 0.004000
Training Epoch: 26 [5888/10020]	Loss: 0.1195	LR: 0.004000
Training Epoch: 26 [6144/10020]	Loss: 0.1343	LR: 0.004000
Training Epoch: 26 [6400/10020]	Loss: 0.1208	LR: 0.004000
Training Epoch: 26 [6656/10020]	Loss: 0.1186	LR: 0.004000
Training Epoch: 26 [6912/10020]	Loss: 0.1263	LR: 0.004000
Training Epoch: 26 [7168/10020]	Loss: 0.1529	LR: 0.004000
Training Epoch: 26 [7424/10020]	Loss: 0.1127	LR: 0.004000
Training Epoch: 26 [7680/10020]	Loss: 0.2295	LR: 0.004000
Training Epoch: 26 [7936/10020]	Loss: 0.1237	LR: 0.004000
Training Epoch: 26 [8192/10020]	Loss: 0.1421	LR: 0.004000
Training Epoch: 26 [8448/10020]	Loss: 0.1242	LR: 0.004000
Training Epoch: 26 [8704/10020]	Loss: 0.1231	LR: 0.004000
Training Epoch: 26 [8960/10020]	Loss: 0.1737	LR: 0.004000
Training Epoch: 26 [9216/10020]	Loss: 0.1440	LR: 0.004000
Training Epoch: 26 [9472/10020]	Loss: 0.1216	LR: 0.004000
Training Epoch: 26 [9728/10020]	Loss: 0.1413	LR: 0.004000
Training Epoch: 26 [9984/10020]	Loss: 0.1543	LR: 0.004000
Training Epoch: 26 [10020/10020]	Loss: 0.1483	LR: 0.004000
Epoch 26 - Average Train Loss: 0.1339, Train Accuracy: 0.9441
Epoch 26 training time consumed: 144.56s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0006, Accuracy: 0.9433, Time consumed:7.72s
Training Epoch: 27 [256/10020]	Loss: 0.1305	LR: 0.004000
Training Epoch: 27 [512/10020]	Loss: 0.1394	LR: 0.004000
Training Epoch: 27 [768/10020]	Loss: 0.1022	LR: 0.004000
Training Epoch: 27 [1024/10020]	Loss: 0.1703	LR: 0.004000
Training Epoch: 27 [1280/10020]	Loss: 0.1386	LR: 0.004000
Training Epoch: 27 [1536/10020]	Loss: 0.1407	LR: 0.004000
Training Epoch: 27 [1792/10020]	Loss: 0.1226	LR: 0.004000
Training Epoch: 27 [2048/10020]	Loss: 0.1666	LR: 0.004000
Training Epoch: 27 [2304/10020]	Loss: 0.1313	LR: 0.004000
Training Epoch: 27 [2560/10020]	Loss: 0.1463	LR: 0.004000
Training Epoch: 27 [2816/10020]	Loss: 0.1465	LR: 0.004000
Training Epoch: 27 [3072/10020]	Loss: 0.1180	LR: 0.004000
Training Epoch: 27 [3328/10020]	Loss: 0.1050	LR: 0.004000
Training Epoch: 27 [3584/10020]	Loss: 0.1338	LR: 0.004000
Training Epoch: 27 [3840/10020]	Loss: 0.0827	LR: 0.004000
Training Epoch: 27 [4096/10020]	Loss: 0.1462	LR: 0.004000
Training Epoch: 27 [4352/10020]	Loss: 0.1234	LR: 0.004000
Training Epoch: 27 [4608/10020]	Loss: 0.2004	LR: 0.004000
Training Epoch: 27 [4864/10020]	Loss: 0.1170	LR: 0.004000
Training Epoch: 27 [5120/10020]	Loss: 0.1147	LR: 0.004000
Training Epoch: 27 [5376/10020]	Loss: 0.1159	LR: 0.004000
Training Epoch: 27 [5632/10020]	Loss: 0.1490	LR: 0.004000
Training Epoch: 27 [5888/10020]	Loss: 0.1349	LR: 0.004000
Training Epoch: 27 [6144/10020]	Loss: 0.1090	LR: 0.004000
Training Epoch: 27 [6400/10020]	Loss: 0.1397	LR: 0.004000
Training Epoch: 27 [6656/10020]	Loss: 0.1654	LR: 0.004000
Training Epoch: 27 [6912/10020]	Loss: 0.2027	LR: 0.004000
Training Epoch: 27 [7168/10020]	Loss: 0.0959	LR: 0.004000
Training Epoch: 27 [7424/10020]	Loss: 0.1346	LR: 0.004000
Training Epoch: 27 [7680/10020]	Loss: 0.1124	LR: 0.004000
Training Epoch: 27 [7936/10020]	Loss: 0.1372	LR: 0.004000
Training Epoch: 27 [8192/10020]	Loss: 0.1109	LR: 0.004000
Training Epoch: 27 [8448/10020]	Loss: 0.1290	LR: 0.004000
Training Epoch: 27 [8704/10020]	Loss: 0.1113	LR: 0.004000
Training Epoch: 27 [8960/10020]	Loss: 0.1344	LR: 0.004000
Training Epoch: 27 [9216/10020]	Loss: 0.1553	LR: 0.004000
Training Epoch: 27 [9472/10020]	Loss: 0.1966	LR: 0.004000
Training Epoch: 27 [9728/10020]	Loss: 0.1325	LR: 0.004000
Training Epoch: 27 [9984/10020]	Loss: 0.1063	LR: 0.004000
Training Epoch: 27 [10020/10020]	Loss: 0.0877	LR: 0.004000
Epoch 27 - Average Train Loss: 0.1344, Train Accuracy: 0.9451
Epoch 27 training time consumed: 144.04s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0006, Accuracy: 0.9448, Time consumed:8.17s
Training Epoch: 28 [256/10020]	Loss: 0.0858	LR: 0.004000
Training Epoch: 28 [512/10020]	Loss: 0.1224	LR: 0.004000
Training Epoch: 28 [768/10020]	Loss: 0.1412	LR: 0.004000
Training Epoch: 28 [1024/10020]	Loss: 0.1122	LR: 0.004000
Training Epoch: 28 [1280/10020]	Loss: 0.1297	LR: 0.004000
Training Epoch: 28 [1536/10020]	Loss: 0.1054	LR: 0.004000
Training Epoch: 28 [1792/10020]	Loss: 0.1655	LR: 0.004000
Training Epoch: 28 [2048/10020]	Loss: 0.1225	LR: 0.004000
Training Epoch: 28 [2304/10020]	Loss: 0.1121	LR: 0.004000
Training Epoch: 28 [2560/10020]	Loss: 0.1086	LR: 0.004000
Training Epoch: 28 [2816/10020]	Loss: 0.2121	LR: 0.004000
Training Epoch: 28 [3072/10020]	Loss: 0.1332	LR: 0.004000
Training Epoch: 28 [3328/10020]	Loss: 0.1140	LR: 0.004000
Training Epoch: 28 [3584/10020]	Loss: 0.0974	LR: 0.004000
Training Epoch: 28 [3840/10020]	Loss: 0.1033	LR: 0.004000
Training Epoch: 28 [4096/10020]	Loss: 0.0959	LR: 0.004000
Training Epoch: 28 [4352/10020]	Loss: 0.1664	LR: 0.004000
Training Epoch: 28 [4608/10020]	Loss: 0.1465	LR: 0.004000
Training Epoch: 28 [4864/10020]	Loss: 0.1289	LR: 0.004000
Training Epoch: 28 [5120/10020]	Loss: 0.1375	LR: 0.004000
Training Epoch: 28 [5376/10020]	Loss: 0.1309	LR: 0.004000
Training Epoch: 28 [5632/10020]	Loss: 0.1557	LR: 0.004000
Training Epoch: 28 [5888/10020]	Loss: 0.1265	LR: 0.004000
Training Epoch: 28 [6144/10020]	Loss: 0.1125	LR: 0.004000
Training Epoch: 28 [6400/10020]	Loss: 0.1346	LR: 0.004000
Training Epoch: 28 [6656/10020]	Loss: 0.1291	LR: 0.004000
Training Epoch: 28 [6912/10020]	Loss: 0.1169	LR: 0.004000
Training Epoch: 28 [7168/10020]	Loss: 0.1327	LR: 0.004000
Training Epoch: 28 [7424/10020]	Loss: 0.1540	LR: 0.004000
Training Epoch: 28 [7680/10020]	Loss: 0.1756	LR: 0.004000
Training Epoch: 28 [7936/10020]	Loss: 0.1643	LR: 0.004000
Training Epoch: 28 [8192/10020]	Loss: 0.1019	LR: 0.004000
Training Epoch: 28 [8448/10020]	Loss: 0.1911	LR: 0.004000
Training Epoch: 28 [8704/10020]	Loss: 0.1473	LR: 0.004000
Training Epoch: 28 [8960/10020]	Loss: 0.1573	LR: 0.004000
Training Epoch: 28 [9216/10020]	Loss: 0.1454	LR: 0.004000
Training Epoch: 28 [9472/10020]	Loss: 0.1223	LR: 0.004000
Training Epoch: 28 [9728/10020]	Loss: 0.1532	LR: 0.004000
Training Epoch: 28 [9984/10020]	Loss: 0.1647	LR: 0.004000
Training Epoch: 28 [10020/10020]	Loss: 0.1120	LR: 0.004000
Epoch 28 - Average Train Loss: 0.1347, Train Accuracy: 0.9431
Epoch 28 training time consumed: 144.16s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0006, Accuracy: 0.9390, Time consumed:7.82s
Training Epoch: 29 [256/10020]	Loss: 0.1563	LR: 0.004000
Training Epoch: 29 [512/10020]	Loss: 0.1367	LR: 0.004000
Training Epoch: 29 [768/10020]	Loss: 0.1413	LR: 0.004000
Training Epoch: 29 [1024/10020]	Loss: 0.1335	LR: 0.004000
Training Epoch: 29 [1280/10020]	Loss: 0.1173	LR: 0.004000
Training Epoch: 29 [1536/10020]	Loss: 0.1244	LR: 0.004000
Training Epoch: 29 [1792/10020]	Loss: 0.1763	LR: 0.004000
Training Epoch: 29 [2048/10020]	Loss: 0.1035	LR: 0.004000
Training Epoch: 29 [2304/10020]	Loss: 0.1561	LR: 0.004000
Training Epoch: 29 [2560/10020]	Loss: 0.1298	LR: 0.004000
Training Epoch: 29 [2816/10020]	Loss: 0.1499	LR: 0.004000
Training Epoch: 29 [3072/10020]	Loss: 0.1368	LR: 0.004000
Training Epoch: 29 [3328/10020]	Loss: 0.1957	LR: 0.004000
Training Epoch: 29 [3584/10020]	Loss: 0.1577	LR: 0.004000
Training Epoch: 29 [3840/10020]	Loss: 0.1226	LR: 0.004000
Training Epoch: 29 [4096/10020]	Loss: 0.1059	LR: 0.004000
Training Epoch: 29 [4352/10020]	Loss: 0.1023	LR: 0.004000
Training Epoch: 29 [4608/10020]	Loss: 0.0938	LR: 0.004000
Training Epoch: 29 [4864/10020]	Loss: 0.1307	LR: 0.004000
Training Epoch: 29 [5120/10020]	Loss: 0.0986	LR: 0.004000
Training Epoch: 29 [5376/10020]	Loss: 0.1529	LR: 0.004000
Training Epoch: 29 [5632/10020]	Loss: 0.1344	LR: 0.004000
Training Epoch: 29 [5888/10020]	Loss: 0.1490	LR: 0.004000
Training Epoch: 29 [6144/10020]	Loss: 0.1346	LR: 0.004000
Training Epoch: 29 [6400/10020]	Loss: 0.1493	LR: 0.004000
Training Epoch: 29 [6656/10020]	Loss: 0.1411	LR: 0.004000
Training Epoch: 29 [6912/10020]	Loss: 0.1695	LR: 0.004000
Training Epoch: 29 [7168/10020]	Loss: 0.0989	LR: 0.004000
Training Epoch: 29 [7424/10020]	Loss: 0.1233	LR: 0.004000
Training Epoch: 29 [7680/10020]	Loss: 0.1252	LR: 0.004000
Training Epoch: 29 [7936/10020]	Loss: 0.0887	LR: 0.004000
Training Epoch: 29 [8192/10020]	Loss: 0.1582	LR: 0.004000
Training Epoch: 29 [8448/10020]	Loss: 0.1537	LR: 0.004000
Training Epoch: 29 [8704/10020]	Loss: 0.1415	LR: 0.004000
Training Epoch: 29 [8960/10020]	Loss: 0.1079	LR: 0.004000
Training Epoch: 29 [9216/10020]	Loss: 0.1079	LR: 0.004000
Training Epoch: 29 [9472/10020]	Loss: 0.1474	LR: 0.004000
Training Epoch: 29 [9728/10020]	Loss: 0.1035	LR: 0.004000
Training Epoch: 29 [9984/10020]	Loss: 0.1082	LR: 0.004000
Training Epoch: 29 [10020/10020]	Loss: 0.1210	LR: 0.004000
Epoch 29 - Average Train Loss: 0.1324, Train Accuracy: 0.9456
Epoch 29 training time consumed: 144.20s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0005, Accuracy: 0.9448, Time consumed:7.92s
Training Epoch: 30 [256/10020]	Loss: 0.1282	LR: 0.004000
Training Epoch: 30 [512/10020]	Loss: 0.1217	LR: 0.004000
Training Epoch: 30 [768/10020]	Loss: 0.1357	LR: 0.004000
Training Epoch: 30 [1024/10020]	Loss: 0.1319	LR: 0.004000
Training Epoch: 30 [1280/10020]	Loss: 0.1229	LR: 0.004000
Training Epoch: 30 [1536/10020]	Loss: 0.1623	LR: 0.004000
Training Epoch: 30 [1792/10020]	Loss: 0.1342	LR: 0.004000
Training Epoch: 30 [2048/10020]	Loss: 0.1179	LR: 0.004000
Training Epoch: 30 [2304/10020]	Loss: 0.1104	LR: 0.004000
Training Epoch: 30 [2560/10020]	Loss: 0.1152	LR: 0.004000
Training Epoch: 30 [2816/10020]	Loss: 0.1060	LR: 0.004000
Training Epoch: 30 [3072/10020]	Loss: 0.1542	LR: 0.004000
Training Epoch: 30 [3328/10020]	Loss: 0.0901	LR: 0.004000
Training Epoch: 30 [3584/10020]	Loss: 0.1312	LR: 0.004000
Training Epoch: 30 [3840/10020]	Loss: 0.1382	LR: 0.004000
Training Epoch: 30 [4096/10020]	Loss: 0.1192	LR: 0.004000
Training Epoch: 30 [4352/10020]	Loss: 0.1153	LR: 0.004000
Training Epoch: 30 [4608/10020]	Loss: 0.1618	LR: 0.004000
Training Epoch: 30 [4864/10020]	Loss: 0.0753	LR: 0.004000
Training Epoch: 30 [5120/10020]	Loss: 0.1462	LR: 0.004000
Training Epoch: 30 [5376/10020]	Loss: 0.1705	LR: 0.004000
Training Epoch: 30 [5632/10020]	Loss: 0.1321	LR: 0.004000
Training Epoch: 30 [5888/10020]	Loss: 0.1449	LR: 0.004000
Training Epoch: 30 [6144/10020]	Loss: 0.1631	LR: 0.004000
Training Epoch: 30 [6400/10020]	Loss: 0.1192	LR: 0.004000
Training Epoch: 30 [6656/10020]	Loss: 0.1181	LR: 0.004000
Training Epoch: 30 [6912/10020]	Loss: 0.1421	LR: 0.004000
Training Epoch: 30 [7168/10020]	Loss: 0.1165	LR: 0.004000
Training Epoch: 30 [7424/10020]	Loss: 0.1053	LR: 0.004000
Training Epoch: 30 [7680/10020]	Loss: 0.1536	LR: 0.004000
Training Epoch: 30 [7936/10020]	Loss: 0.1153	LR: 0.004000
Training Epoch: 30 [8192/10020]	Loss: 0.1107	LR: 0.004000
Training Epoch: 30 [8448/10020]	Loss: 0.1307	LR: 0.004000
Training Epoch: 30 [8704/10020]	Loss: 0.1661	LR: 0.004000
Training Epoch: 30 [8960/10020]	Loss: 0.1668	LR: 0.004000
Training Epoch: 30 [9216/10020]	Loss: 0.1015	LR: 0.004000
Training Epoch: 30 [9472/10020]	Loss: 0.1044	LR: 0.004000
Training Epoch: 30 [9728/10020]	Loss: 0.1422	LR: 0.004000
Training Epoch: 30 [9984/10020]	Loss: 0.1507	LR: 0.004000
Training Epoch: 30 [10020/10020]	Loss: 0.0598	LR: 0.004000
Epoch 30 - Average Train Loss: 0.1298, Train Accuracy: 0.9432
Epoch 30 training time consumed: 143.79s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0006, Accuracy: 0.9438, Time consumed:7.79s
Training Epoch: 31 [256/10020]	Loss: 0.1139	LR: 0.004000
Training Epoch: 31 [512/10020]	Loss: 0.1685	LR: 0.004000
Training Epoch: 31 [768/10020]	Loss: 0.1251	LR: 0.004000
Training Epoch: 31 [1024/10020]	Loss: 0.1274	LR: 0.004000
Training Epoch: 31 [1280/10020]	Loss: 0.1678	LR: 0.004000
Training Epoch: 31 [1536/10020]	Loss: 0.1154	LR: 0.004000
Training Epoch: 31 [1792/10020]	Loss: 0.1207	LR: 0.004000
Training Epoch: 31 [2048/10020]	Loss: 0.1050	LR: 0.004000
Training Epoch: 31 [2304/10020]	Loss: 0.1909	LR: 0.004000
Training Epoch: 31 [2560/10020]	Loss: 0.1095	LR: 0.004000
Training Epoch: 31 [2816/10020]	Loss: 0.1096	LR: 0.004000
Training Epoch: 31 [3072/10020]	Loss: 0.1013	LR: 0.004000
Training Epoch: 31 [3328/10020]	Loss: 0.1464	LR: 0.004000
Training Epoch: 31 [3584/10020]	Loss: 0.1117	LR: 0.004000
Training Epoch: 31 [3840/10020]	Loss: 0.0815	LR: 0.004000
Training Epoch: 31 [4096/10020]	Loss: 0.1133	LR: 0.004000
Training Epoch: 31 [4352/10020]	Loss: 0.1455	LR: 0.004000
Training Epoch: 31 [4608/10020]	Loss: 0.0962	LR: 0.004000
Training Epoch: 31 [4864/10020]	Loss: 0.1390	LR: 0.004000
Training Epoch: 31 [5120/10020]	Loss: 0.1400	LR: 0.004000
Training Epoch: 31 [5376/10020]	Loss: 0.1159	LR: 0.004000
Training Epoch: 31 [5632/10020]	Loss: 0.1792	LR: 0.004000
Training Epoch: 31 [5888/10020]	Loss: 0.1235	LR: 0.004000
Training Epoch: 31 [6144/10020]	Loss: 0.1006	LR: 0.004000
Training Epoch: 31 [6400/10020]	Loss: 0.1370	LR: 0.004000
Training Epoch: 31 [6656/10020]	Loss: 0.1213	LR: 0.004000
Training Epoch: 31 [6912/10020]	Loss: 0.1273	LR: 0.004000
Training Epoch: 31 [7168/10020]	Loss: 0.1424	LR: 0.004000
Training Epoch: 31 [7424/10020]	Loss: 0.1451	LR: 0.004000
Training Epoch: 31 [7680/10020]	Loss: 0.1376	LR: 0.004000
Training Epoch: 31 [7936/10020]	Loss: 0.1214	LR: 0.004000
Training Epoch: 31 [8192/10020]	Loss: 0.1821	LR: 0.004000
Training Epoch: 31 [8448/10020]	Loss: 0.1228	LR: 0.004000
Training Epoch: 31 [8704/10020]	Loss: 0.1453	LR: 0.004000
Training Epoch: 31 [8960/10020]	Loss: 0.1148	LR: 0.004000
Training Epoch: 31 [9216/10020]	Loss: 0.0843	LR: 0.004000
Training Epoch: 31 [9472/10020]	Loss: 0.1411	LR: 0.004000
Training Epoch: 31 [9728/10020]	Loss: 0.1038	LR: 0.004000
Training Epoch: 31 [9984/10020]	Loss: 0.1097	LR: 0.004000
Training Epoch: 31 [10020/10020]	Loss: 0.1851	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1280, Train Accuracy: 0.9460
Epoch 31 training time consumed: 144.09s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0009, Accuracy: 0.9201, Time consumed:8.04s
Valid (Test) Dl:  2065
Train Dl:  10548
Retain Train Dl:  10020
Forget Train Dl:  528
Retain Valid Dl:  10020
Forget Valid Dl:  528
retain_prob Distribution: 2065 samples
test_prob Distribution: 2065 samples
forget_prob Distribution: 528 samples
Set1 Distribution: 528 samples
Set2 Distribution: 528 samples
Set1 Distribution: 528 samples
Set2 Distribution: 528 samples
Set1 Distribution: 2065 samples
Set2 Distribution: 2065 samples
Set1 Distribution: 2065 samples
Set2 Distribution: 2065 samples
Test Accuracy: 92.22835540771484
Retain Accuracy: 91.81206512451172
Zero-Retain Forget (ZRF): 0.761581301689148
Membership Inference Attack (MIA): 0.26515151515151514
Forget vs Retain Membership Inference Attack (MIA): 0.5
Forget vs Test Membership Inference Attack (MIA): 0.5613207547169812
Test vs Retain Membership Inference Attack (MIA): 0.5423728813559322
Train vs Test Membership Inference Attack (MIA): 0.5205811138014528
Forget Set Accuracy (Df): 92.83853912353516
Method Execution Time: 5875.63 seconds
