hello
hello
Labels

📌S Retain class distribution for seed 7:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

📌S Forget class distribution for seed 7:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500
780909900

📊 Updated class distribution:
Retain set:
  Class 0: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.4606	LR: 0.000000
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Training Epoch: 1 [768/46250]	Loss: 2.3620	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3678	LR: 0.001657
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Training Epoch: 1 [28416/46250]	Loss: 1.3870	LR: 0.060773
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Training Epoch: 1 [30720/46250]	Loss: 1.2810	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.3791	LR: 0.066298
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Training Epoch: 1 [36352/46250]	Loss: 1.5362	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.1753	LR: 0.078453
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Training Epoch: 1 [37376/46250]	Loss: 1.2924	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.3885	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.2311	LR: 0.081215
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Training Epoch: 1 [40448/46250]	Loss: 1.3888	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.2094	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.5228	LR: 0.087845
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Training Epoch: 1 [41728/46250]	Loss: 1.3009	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.4467	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.2386	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.3487	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.2833	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.3640	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.2784	LR: 0.092818
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Training Epoch: 1 [43776/46250]	Loss: 1.3291	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.3149	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.1551	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.2872	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.1411	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.1868	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.2140	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.0135	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.0512	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.1589	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.3066	LR: 0.099448
Epoch 1 - Average Train Loss: 1.5649, Train Accuracy: 0.4349
Epoch 1 training time consumed: 18.46s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0069, Accuracy: 0.4887, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_54m_08s/ResNet18-Cifar10-seed7-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.1546	LR: 0.020000
Training Epoch: 2 [512/46250]	Loss: 1.4691	LR: 0.020000
Training Epoch: 2 [768/46250]	Loss: 1.0240	LR: 0.020000
Training Epoch: 2 [1024/46250]	Loss: 1.0504	LR: 0.020000
Training Epoch: 2 [1280/46250]	Loss: 1.1150	LR: 0.020000
Training Epoch: 2 [1536/46250]	Loss: 1.0079	LR: 0.020000
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Training Epoch: 2 [22784/46250]	Loss: 0.8355	LR: 0.020000
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Training Epoch: 2 [40448/46250]	Loss: 0.6946	LR: 0.020000
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Training Epoch: 2 [42240/46250]	Loss: 0.6324	LR: 0.020000
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Training Epoch: 2 [43520/46250]	Loss: 0.7469	LR: 0.020000
Training Epoch: 2 [43776/46250]	Loss: 0.7756	LR: 0.020000
Training Epoch: 2 [44032/46250]	Loss: 0.7086	LR: 0.020000
Training Epoch: 2 [44288/46250]	Loss: 0.5932	LR: 0.020000
Training Epoch: 2 [44544/46250]	Loss: 0.7730	LR: 0.020000
Training Epoch: 2 [44800/46250]	Loss: 0.6259	LR: 0.020000
Training Epoch: 2 [45056/46250]	Loss: 0.7736	LR: 0.020000
Training Epoch: 2 [45312/46250]	Loss: 0.8731	LR: 0.020000
Training Epoch: 2 [45568/46250]	Loss: 0.7772	LR: 0.020000
Training Epoch: 2 [45824/46250]	Loss: 0.7121	LR: 0.020000
Training Epoch: 2 [46080/46250]	Loss: 0.7307	LR: 0.020000
Training Epoch: 2 [46250/46250]	Loss: 0.6696	LR: 0.020000
Epoch 2 - Average Train Loss: 0.8121, Train Accuracy: 0.7113
Epoch 2 training time consumed: 17.94s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0031, Accuracy: 0.7308, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_54m_08s/ResNet18-Cifar10-seed7-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.6209	LR: 0.020000
Training Epoch: 3 [512/46250]	Loss: 0.5286	LR: 0.020000
Training Epoch: 3 [768/46250]	Loss: 0.6370	LR: 0.020000
Training Epoch: 3 [1024/46250]	Loss: 0.5786	LR: 0.020000
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Training Epoch: 3 [42496/46250]	Loss: 0.6440	LR: 0.020000
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Training Epoch: 3 [43776/46250]	Loss: 0.7128	LR: 0.020000
Training Epoch: 3 [44032/46250]	Loss: 0.5625	LR: 0.020000
Training Epoch: 3 [44288/46250]	Loss: 0.5766	LR: 0.020000
Training Epoch: 3 [44544/46250]	Loss: 0.6373	LR: 0.020000
Training Epoch: 3 [44800/46250]	Loss: 0.6400	LR: 0.020000
Training Epoch: 3 [45056/46250]	Loss: 0.5791	LR: 0.020000
Training Epoch: 3 [45312/46250]	Loss: 0.6604	LR: 0.020000
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Training Epoch: 3 [45824/46250]	Loss: 0.5750	LR: 0.020000
Training Epoch: 3 [46080/46250]	Loss: 0.6761	LR: 0.020000
Training Epoch: 3 [46250/46250]	Loss: 0.6968	LR: 0.020000
Epoch 3 - Average Train Loss: 0.6035, Train Accuracy: 0.7866
Epoch 3 training time consumed: 18.23s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0032, Accuracy: 0.7247, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_54m_08s/ResNet18-Cifar10-seed7-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.4540	LR: 0.020000
Training Epoch: 4 [512/46250]	Loss: 0.4805	LR: 0.020000
Training Epoch: 4 [768/46250]	Loss: 0.4866	LR: 0.020000
Training Epoch: 4 [1024/46250]	Loss: 0.4675	LR: 0.020000
Training Epoch: 4 [1280/46250]	Loss: 0.4309	LR: 0.020000
Training Epoch: 4 [1536/46250]	Loss: 0.4996	LR: 0.020000
Training Epoch: 4 [1792/46250]	Loss: 0.4578	LR: 0.020000
Training Epoch: 4 [2048/46250]	Loss: 0.4718	LR: 0.020000
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Training Epoch: 4 [46080/46250]	Loss: 0.4151	LR: 0.020000
Training Epoch: 4 [46250/46250]	Loss: 0.4886	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4628, Train Accuracy: 0.8374
Epoch 4 training time consumed: 17.99s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0031, Accuracy: 0.7468, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_54m_08s/ResNet18-Cifar10-seed7-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.3616	LR: 0.004000
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Training Epoch: 5 [28928/46250]	Loss: 0.2070	LR: 0.004000
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Training Epoch: 5 [38144/46250]	Loss: 0.1598	LR: 0.004000
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Training Epoch: 5 [40448/46250]	Loss: 0.1527	LR: 0.004000
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Training Epoch: 5 [41472/46250]	Loss: 0.1954	LR: 0.004000
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Training Epoch: 5 [41984/46250]	Loss: 0.1948	LR: 0.004000
Training Epoch: 5 [42240/46250]	Loss: 0.2081	LR: 0.004000
Training Epoch: 5 [42496/46250]	Loss: 0.2196	LR: 0.004000
Training Epoch: 5 [42752/46250]	Loss: 0.1933	LR: 0.004000
Training Epoch: 5 [43008/46250]	Loss: 0.1844	LR: 0.004000
Training Epoch: 5 [43264/46250]	Loss: 0.1960	LR: 0.004000
Training Epoch: 5 [43520/46250]	Loss: 0.1981	LR: 0.004000
Training Epoch: 5 [43776/46250]	Loss: 0.1925	LR: 0.004000
Training Epoch: 5 [44032/46250]	Loss: 0.1844	LR: 0.004000
Training Epoch: 5 [44288/46250]	Loss: 0.1918	LR: 0.004000
Training Epoch: 5 [44544/46250]	Loss: 0.1643	LR: 0.004000
Training Epoch: 5 [44800/46250]	Loss: 0.1600	LR: 0.004000
Training Epoch: 5 [45056/46250]	Loss: 0.2388	LR: 0.004000
Training Epoch: 5 [45312/46250]	Loss: 0.1827	LR: 0.004000
Training Epoch: 5 [45568/46250]	Loss: 0.1845	LR: 0.004000
Training Epoch: 5 [45824/46250]	Loss: 0.1516	LR: 0.004000
Training Epoch: 5 [46080/46250]	Loss: 0.1434	LR: 0.004000
Training Epoch: 5 [46250/46250]	Loss: 0.1665	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2159, Train Accuracy: 0.9323
Epoch 5 training time consumed: 18.04s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0023, Accuracy: 0.8136, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_54m_08s/ResNet18-Cifar10-seed7-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.1668	LR: 0.004000
Training Epoch: 6 [512/46250]	Loss: 0.1423	LR: 0.004000
Training Epoch: 6 [768/46250]	Loss: 0.1028	LR: 0.004000
Training Epoch: 6 [1024/46250]	Loss: 0.1242	LR: 0.004000
Training Epoch: 6 [1280/46250]	Loss: 0.0978	LR: 0.004000
Training Epoch: 6 [1536/46250]	Loss: 0.1024	LR: 0.004000
Training Epoch: 6 [1792/46250]	Loss: 0.1202	LR: 0.004000
Training Epoch: 6 [2048/46250]	Loss: 0.1117	LR: 0.004000
Training Epoch: 6 [2304/46250]	Loss: 0.1384	LR: 0.004000
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Training Epoch: 6 [5120/46250]	Loss: 0.1145	LR: 0.004000
Training Epoch: 6 [5376/46250]	Loss: 0.0916	LR: 0.004000
Training Epoch: 6 [5632/46250]	Loss: 0.1517	LR: 0.004000
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Training Epoch: 6 [28928/46250]	Loss: 0.1288	LR: 0.004000
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Training Epoch: 6 [40192/46250]	Loss: 0.0923	LR: 0.004000
Training Epoch: 6 [40448/46250]	Loss: 0.0905	LR: 0.004000
Training Epoch: 6 [40704/46250]	Loss: 0.0744	LR: 0.004000
Training Epoch: 6 [40960/46250]	Loss: 0.1027	LR: 0.004000
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Training Epoch: 6 [42240/46250]	Loss: 0.1147	LR: 0.004000
Training Epoch: 6 [42496/46250]	Loss: 0.1413	LR: 0.004000
Training Epoch: 6 [42752/46250]	Loss: 0.1451	LR: 0.004000
Training Epoch: 6 [43008/46250]	Loss: 0.1269	LR: 0.004000
Training Epoch: 6 [43264/46250]	Loss: 0.0854	LR: 0.004000
Training Epoch: 6 [43520/46250]	Loss: 0.0801	LR: 0.004000
Training Epoch: 6 [43776/46250]	Loss: 0.0941	LR: 0.004000
Training Epoch: 6 [44032/46250]	Loss: 0.0885	LR: 0.004000
Training Epoch: 6 [44288/46250]	Loss: 0.0796	LR: 0.004000
Training Epoch: 6 [44544/46250]	Loss: 0.1135	LR: 0.004000
Training Epoch: 6 [44800/46250]	Loss: 0.1070	LR: 0.004000
Training Epoch: 6 [45056/46250]	Loss: 0.1105	LR: 0.004000
Training Epoch: 6 [45312/46250]	Loss: 0.0962	LR: 0.004000
Training Epoch: 6 [45568/46250]	Loss: 0.1145	LR: 0.004000
Training Epoch: 6 [45824/46250]	Loss: 0.1205	LR: 0.004000
Training Epoch: 6 [46080/46250]	Loss: 0.1211	LR: 0.004000
Training Epoch: 6 [46250/46250]	Loss: 0.1344	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1183, Train Accuracy: 0.9668
Epoch 6 training time consumed: 18.13s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0025, Accuracy: 0.8120, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_54m_08s/ResNet18-Cifar10-seed7-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.0661	LR: 0.004000
Training Epoch: 7 [512/46250]	Loss: 0.0750	LR: 0.004000
Training Epoch: 7 [768/46250]	Loss: 0.0583	LR: 0.004000
Training Epoch: 7 [1024/46250]	Loss: 0.0644	LR: 0.004000
Training Epoch: 7 [1280/46250]	Loss: 0.0532	LR: 0.004000
Training Epoch: 7 [1536/46250]	Loss: 0.0789	LR: 0.004000
Training Epoch: 7 [1792/46250]	Loss: 0.0677	LR: 0.004000
Training Epoch: 7 [2048/46250]	Loss: 0.0640	LR: 0.004000
Training Epoch: 7 [2304/46250]	Loss: 0.0474	LR: 0.004000
Training Epoch: 7 [2560/46250]	Loss: 0.0829	LR: 0.004000
Training Epoch: 7 [2816/46250]	Loss: 0.0480	LR: 0.004000
Training Epoch: 7 [3072/46250]	Loss: 0.0787	LR: 0.004000
Training Epoch: 7 [3328/46250]	Loss: 0.0456	LR: 0.004000
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Training Epoch: 7 [4608/46250]	Loss: 0.0825	LR: 0.004000
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Training Epoch: 7 [5120/46250]	Loss: 0.0618	LR: 0.004000
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Training Epoch: 7 [8448/46250]	Loss: 0.0485	LR: 0.004000
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Training Epoch: 7 [40448/46250]	Loss: 0.0669	LR: 0.004000
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Training Epoch: 7 [43520/46250]	Loss: 0.0732	LR: 0.004000
Training Epoch: 7 [43776/46250]	Loss: 0.0619	LR: 0.004000
Training Epoch: 7 [44032/46250]	Loss: 0.0646	LR: 0.004000
Training Epoch: 7 [44288/46250]	Loss: 0.0439	LR: 0.004000
Training Epoch: 7 [44544/46250]	Loss: 0.0491	LR: 0.004000
Training Epoch: 7 [44800/46250]	Loss: 0.0759	LR: 0.004000
Training Epoch: 7 [45056/46250]	Loss: 0.0636	LR: 0.004000
Training Epoch: 7 [45312/46250]	Loss: 0.0553	LR: 0.004000
Training Epoch: 7 [45568/46250]	Loss: 0.0524	LR: 0.004000
Training Epoch: 7 [45824/46250]	Loss: 0.0759	LR: 0.004000
Training Epoch: 7 [46080/46250]	Loss: 0.0521	LR: 0.004000
Training Epoch: 7 [46250/46250]	Loss: 0.0853	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0585, Train Accuracy: 0.9885
Epoch 7 training time consumed: 17.96s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0028, Accuracy: 0.8059, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_54m_08s/ResNet18-Cifar10-seed7-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0354	LR: 0.004000
Training Epoch: 8 [512/46250]	Loss: 0.0197	LR: 0.004000
Training Epoch: 8 [768/46250]	Loss: 0.0430	LR: 0.004000
Training Epoch: 8 [1024/46250]	Loss: 0.0436	LR: 0.004000
Training Epoch: 8 [1280/46250]	Loss: 0.0270	LR: 0.004000
Training Epoch: 8 [1536/46250]	Loss: 0.0284	LR: 0.004000
Training Epoch: 8 [1792/46250]	Loss: 0.0216	LR: 0.004000
Training Epoch: 8 [2048/46250]	Loss: 0.0315	LR: 0.004000
Training Epoch: 8 [2304/46250]	Loss: 0.0292	LR: 0.004000
Training Epoch: 8 [2560/46250]	Loss: 0.0405	LR: 0.004000
Training Epoch: 8 [2816/46250]	Loss: 0.0367	LR: 0.004000
Training Epoch: 8 [3072/46250]	Loss: 0.0314	LR: 0.004000
Training Epoch: 8 [3328/46250]	Loss: 0.0363	LR: 0.004000
Training Epoch: 8 [3584/46250]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [3840/46250]	Loss: 0.0431	LR: 0.004000
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Training Epoch: 8 [6144/46250]	Loss: 0.0293	LR: 0.004000
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Training Epoch: 8 [8448/46250]	Loss: 0.0249	LR: 0.004000
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Training Epoch: 8 [9216/46250]	Loss: 0.0225	LR: 0.004000
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Training Epoch: 8 [9984/46250]	Loss: 0.0168	LR: 0.004000
Training Epoch: 8 [10240/46250]	Loss: 0.0323	LR: 0.004000
Training Epoch: 8 [10496/46250]	Loss: 0.0313	LR: 0.004000
Training Epoch: 8 [10752/46250]	Loss: 0.0340	LR: 0.004000
Training Epoch: 8 [11008/46250]	Loss: 0.0247	LR: 0.004000
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Training Epoch: 8 [11520/46250]	Loss: 0.0283	LR: 0.004000
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Training Epoch: 8 [12032/46250]	Loss: 0.0223	LR: 0.004000
Training Epoch: 8 [12288/46250]	Loss: 0.0223	LR: 0.004000
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Training Epoch: 8 [12800/46250]	Loss: 0.0247	LR: 0.004000
Training Epoch: 8 [13056/46250]	Loss: 0.0298	LR: 0.004000
Training Epoch: 8 [13312/46250]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [13568/46250]	Loss: 0.0172	LR: 0.004000
Training Epoch: 8 [13824/46250]	Loss: 0.0369	LR: 0.004000
Training Epoch: 8 [14080/46250]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [14336/46250]	Loss: 0.0185	LR: 0.004000
Training Epoch: 8 [14592/46250]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [14848/46250]	Loss: 0.0307	LR: 0.004000
Training Epoch: 8 [15104/46250]	Loss: 0.0255	LR: 0.004000
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Training Epoch: 8 [15616/46250]	Loss: 0.0287	LR: 0.004000
Training Epoch: 8 [15872/46250]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [16128/46250]	Loss: 0.0172	LR: 0.004000
Training Epoch: 8 [16384/46250]	Loss: 0.0215	LR: 0.004000
Training Epoch: 8 [16640/46250]	Loss: 0.0174	LR: 0.004000
Training Epoch: 8 [16896/46250]	Loss: 0.0303	LR: 0.004000
Training Epoch: 8 [17152/46250]	Loss: 0.0161	LR: 0.004000
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Training Epoch: 8 [17664/46250]	Loss: 0.0284	LR: 0.004000
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Training Epoch: 8 [18176/46250]	Loss: 0.0292	LR: 0.004000
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Training Epoch: 8 [19200/46250]	Loss: 0.0290	LR: 0.004000
Training Epoch: 8 [19456/46250]	Loss: 0.0220	LR: 0.004000
Training Epoch: 8 [19712/46250]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [19968/46250]	Loss: 0.0304	LR: 0.004000
Training Epoch: 8 [20224/46250]	Loss: 0.0253	LR: 0.004000
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Training Epoch: 8 [22528/46250]	Loss: 0.0298	LR: 0.004000
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Training Epoch: 8 [24320/46250]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [24576/46250]	Loss: 0.0390	LR: 0.004000
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Training Epoch: 8 [26368/46250]	Loss: 0.0203	LR: 0.004000
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Training Epoch: 8 [27136/46250]	Loss: 0.0407	LR: 0.004000
Training Epoch: 8 [27392/46250]	Loss: 0.0296	LR: 0.004000
Training Epoch: 8 [27648/46250]	Loss: 0.0294	LR: 0.004000
Training Epoch: 8 [27904/46250]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [28160/46250]	Loss: 0.0252	LR: 0.004000
Training Epoch: 8 [28416/46250]	Loss: 0.0196	LR: 0.004000
Training Epoch: 8 [28672/46250]	Loss: 0.0234	LR: 0.004000
Training Epoch: 8 [28928/46250]	Loss: 0.0192	LR: 0.004000
Training Epoch: 8 [29184/46250]	Loss: 0.0320	LR: 0.004000
Training Epoch: 8 [29440/46250]	Loss: 0.0308	LR: 0.004000
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Training Epoch: 8 [29952/46250]	Loss: 0.0131	LR: 0.004000
Training Epoch: 8 [30208/46250]	Loss: 0.0344	LR: 0.004000
Training Epoch: 8 [30464/46250]	Loss: 0.0152	LR: 0.004000
Training Epoch: 8 [30720/46250]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [30976/46250]	Loss: 0.0188	LR: 0.004000
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Training Epoch: 8 [32256/46250]	Loss: 0.0225	LR: 0.004000
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Training Epoch: 8 [32768/46250]	Loss: 0.0325	LR: 0.004000
Training Epoch: 8 [33024/46250]	Loss: 0.0228	LR: 0.004000
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Training Epoch: 8 [33536/46250]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [33792/46250]	Loss: 0.0235	LR: 0.004000
Training Epoch: 8 [34048/46250]	Loss: 0.0203	LR: 0.004000
Training Epoch: 8 [34304/46250]	Loss: 0.0196	LR: 0.004000
Training Epoch: 8 [34560/46250]	Loss: 0.0214	LR: 0.004000
Training Epoch: 8 [34816/46250]	Loss: 0.0234	LR: 0.004000
Training Epoch: 8 [35072/46250]	Loss: 0.0216	LR: 0.004000
Training Epoch: 8 [35328/46250]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [35584/46250]	Loss: 0.0191	LR: 0.004000
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Training Epoch: 8 [37120/46250]	Loss: 0.0186	LR: 0.004000
Training Epoch: 8 [37376/46250]	Loss: 0.0271	LR: 0.004000
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Training Epoch: 8 [37888/46250]	Loss: 0.0195	LR: 0.004000
Training Epoch: 8 [38144/46250]	Loss: 0.0415	LR: 0.004000
Training Epoch: 8 [38400/46250]	Loss: 0.0214	LR: 0.004000
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Training Epoch: 8 [39936/46250]	Loss: 0.0153	LR: 0.004000
Training Epoch: 8 [40192/46250]	Loss: 0.0206	LR: 0.004000
Training Epoch: 8 [40448/46250]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [40704/46250]	Loss: 0.0181	LR: 0.004000
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Training Epoch: 8 [41216/46250]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [41472/46250]	Loss: 0.0276	LR: 0.004000
Training Epoch: 8 [41728/46250]	Loss: 0.0222	LR: 0.004000
Training Epoch: 8 [41984/46250]	Loss: 0.0215	LR: 0.004000
Training Epoch: 8 [42240/46250]	Loss: 0.0186	LR: 0.004000
Training Epoch: 8 [42496/46250]	Loss: 0.0161	LR: 0.004000
Training Epoch: 8 [42752/46250]	Loss: 0.0181	LR: 0.004000
Training Epoch: 8 [43008/46250]	Loss: 0.0139	LR: 0.004000
Training Epoch: 8 [43264/46250]	Loss: 0.0245	LR: 0.004000
Training Epoch: 8 [43520/46250]	Loss: 0.0192	LR: 0.004000
Training Epoch: 8 [43776/46250]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [44032/46250]	Loss: 0.0153	LR: 0.004000
Training Epoch: 8 [44288/46250]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [44544/46250]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [44800/46250]	Loss: 0.0265	LR: 0.004000
Training Epoch: 8 [45056/46250]	Loss: 0.0191	LR: 0.004000
Training Epoch: 8 [45312/46250]	Loss: 0.0221	LR: 0.004000
Training Epoch: 8 [45568/46250]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [45824/46250]	Loss: 0.0122	LR: 0.004000
Training Epoch: 8 [46080/46250]	Loss: 0.0244	LR: 0.004000
Training Epoch: 8 [46250/46250]	Loss: 0.0255	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0255, Train Accuracy: 0.9980
Epoch 8 training time consumed: 18.00s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.8132, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_54m_08s/ResNet18-Cifar10-seed7-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [512/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [768/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [1024/46250]	Loss: 0.0195	LR: 0.000800
Training Epoch: 9 [1280/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [1536/46250]	Loss: 0.0174	LR: 0.000800
Training Epoch: 9 [1792/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [2048/46250]	Loss: 0.0209	LR: 0.000800
Training Epoch: 9 [2304/46250]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [2560/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [2816/46250]	Loss: 0.0173	LR: 0.000800
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Training Epoch: 9 [4608/46250]	Loss: 0.0122	LR: 0.000800
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Training Epoch: 9 [5632/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [5888/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [6144/46250]	Loss: 0.0136	LR: 0.000800
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Training Epoch: 9 [9728/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [9984/46250]	Loss: 0.0110	LR: 0.000800
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Training Epoch: 9 [10496/46250]	Loss: 0.0102	LR: 0.000800
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Training Epoch: 9 [11264/46250]	Loss: 0.0153	LR: 0.000800
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Training Epoch: 9 [12288/46250]	Loss: 0.0107	LR: 0.000800
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Training Epoch: 9 [12800/46250]	Loss: 0.0140	LR: 0.000800
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Training Epoch: 9 [15104/46250]	Loss: 0.0116	LR: 0.000800
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Training Epoch: 9 [23040/46250]	Loss: 0.0111	LR: 0.000800
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Training Epoch: 9 [28416/46250]	Loss: 0.0105	LR: 0.000800
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Training Epoch: 9 [29184/46250]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 9 [35328/46250]	Loss: 0.0097	LR: 0.000800
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Training Epoch: 9 [35840/46250]	Loss: 0.0087	LR: 0.000800
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Training Epoch: 9 [36352/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [36608/46250]	Loss: 0.0076	LR: 0.000800
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Training Epoch: 9 [37120/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [37376/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [37632/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [37888/46250]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [38144/46250]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [38400/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [38656/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [38912/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [39168/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [39424/46250]	Loss: 0.0100	LR: 0.000800
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Training Epoch: 9 [39936/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [40192/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [40448/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [40704/46250]	Loss: 0.0169	LR: 0.000800
Training Epoch: 9 [40960/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [41216/46250]	Loss: 0.0075	LR: 0.000800
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Training Epoch: 9 [41728/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [41984/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [42240/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [42496/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [42752/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [43008/46250]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [43264/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [43520/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [43776/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [44032/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [44288/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [44544/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [44800/46250]	Loss: 0.0202	LR: 0.000800
Training Epoch: 9 [45056/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [45312/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [45568/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [45824/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [46080/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [46250/46250]	Loss: 0.0161	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0119, Train Accuracy: 0.9998
Epoch 9 training time consumed: 18.18s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0027, Accuracy: 0.8131, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_54m_08s/ResNet18-Cifar10-seed7-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [512/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [768/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [1024/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [1280/46250]	Loss: 0.0227	LR: 0.000800
Training Epoch: 10 [1536/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [1792/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [2048/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [2304/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [2560/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [2816/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [3072/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [3328/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [3584/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [3840/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [4096/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [4352/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [4608/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [4864/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [5120/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [5376/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [5632/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [5888/46250]	Loss: 0.0194	LR: 0.000800
Training Epoch: 10 [6144/46250]	Loss: 0.0090	LR: 0.000800
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Training Epoch: 10 [8448/46250]	Loss: 0.0097	LR: 0.000800
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Training Epoch: 10 [10240/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [10496/46250]	Loss: 0.0109	LR: 0.000800
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Training Epoch: 10 [11008/46250]	Loss: 0.0108	LR: 0.000800
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Training Epoch: 10 [11520/46250]	Loss: 0.0113	LR: 0.000800
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Training Epoch: 10 [12032/46250]	Loss: 0.0104	LR: 0.000800
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Training Epoch: 10 [12544/46250]	Loss: 0.0113	LR: 0.000800
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Training Epoch: 10 [13056/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [13312/46250]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [13568/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [13824/46250]	Loss: 0.0092	LR: 0.000800
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Training Epoch: 10 [14592/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [14848/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [15104/46250]	Loss: 0.0135	LR: 0.000800
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Training Epoch: 10 [21504/46250]	Loss: 0.0086	LR: 0.000800
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Training Epoch: 10 [24832/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [25088/46250]	Loss: 0.0128	LR: 0.000800
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Training Epoch: 10 [26624/46250]	Loss: 0.0086	LR: 0.000800
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Training Epoch: 10 [28416/46250]	Loss: 0.0137	LR: 0.000800
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Training Epoch: 10 [29952/46250]	Loss: 0.0099	LR: 0.000800
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Training Epoch: 10 [30464/46250]	Loss: 0.0098	LR: 0.000800
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Training Epoch: 10 [32768/46250]	Loss: 0.0111	LR: 0.000800
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Training Epoch: 10 [33536/46250]	Loss: 0.0085	LR: 0.000800
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Training Epoch: 10 [34048/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [34304/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [34560/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [34816/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [35072/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [35328/46250]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [35584/46250]	Loss: 0.0085	LR: 0.000800
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Training Epoch: 10 [36096/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [36352/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [36608/46250]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [36864/46250]	Loss: 0.0098	LR: 0.000800
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Training Epoch: 10 [37376/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [37632/46250]	Loss: 0.0068	LR: 0.000800
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Training Epoch: 10 [38144/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [38400/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [38656/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [38912/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [39168/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [39424/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [39680/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [39936/46250]	Loss: 0.0093	LR: 0.000800
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Training Epoch: 10 [40448/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 10 [40704/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [40960/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [41216/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [41472/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [41728/46250]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [41984/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [42240/46250]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [42496/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [42752/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [43008/46250]	Loss: 0.0071	LR: 0.000800
Training Epoch: 10 [43264/46250]	Loss: 0.0068	LR: 0.000800
Training Epoch: 10 [43520/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [43776/46250]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [44032/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [44288/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [44544/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [44800/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [45056/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [45312/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [45568/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [45824/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [46080/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [46250/46250]	Loss: 0.0094	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0102, Train Accuracy: 0.9999
Epoch 10 training time consumed: 18.02s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0028, Accuracy: 0.8139, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_54m_08s/ResNet18-Cifar10-seed7-ret25-10-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 81.533203125
Retain Accuracy: 99.99784088134766
Zero-Retain Forget (ZRF): 0.7783428430557251
Membership Inference Attack (MIA): 0.6074666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.63
Forget vs Test Membership Inference Attack (MIA): 0.4726666666666667
Test vs Retain Membership Inference Attack (MIA): 0.61675
Train vs Test Membership Inference Attack (MIA): 0.64225
Forget Set Accuracy (Df): 82.89909362792969
Method Execution Time: 1144.42 seconds
