hello
hello
Labels

📌S Retain class distribution for seed 8:
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 8:
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: 2.3940	LR: 0.000000
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Training Epoch: 1 [768/46250]	Loss: 2.4084	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3630	LR: 0.001657
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Training Epoch: 1 [28416/46250]	Loss: 1.4361	LR: 0.060773
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Training Epoch: 1 [30208/46250]	Loss: 1.4282	LR: 0.064641
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Training Epoch: 1 [30720/46250]	Loss: 1.3868	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.6570	LR: 0.066298
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Training Epoch: 1 [36352/46250]	Loss: 1.3764	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.3306	LR: 0.078453
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Training Epoch: 1 [37376/46250]	Loss: 1.2990	LR: 0.080110
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Training Epoch: 1 [40192/46250]	Loss: 1.3294	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.5364	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.2623	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.3891	LR: 0.087845
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Training Epoch: 1 [41728/46250]	Loss: 1.2595	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.4216	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.1650	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.3655	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.5025	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.4412	LR: 0.092265
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Training Epoch: 1 [43776/46250]	Loss: 1.4640	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.4786	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.3369	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4381	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.2778	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.2975	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.1322	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.4684	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4077	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.3919	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.2612	LR: 0.099448
Epoch 1 - Average Train Loss: 1.5429, Train Accuracy: 0.4433
Epoch 1 training time consumed: 18.60s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0073, Accuracy: 0.4808, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_13m_30s/ResNet18-Cifar10-seed8-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.4127	LR: 0.020000
Training Epoch: 2 [512/46250]	Loss: 1.2951	LR: 0.020000
Training Epoch: 2 [768/46250]	Loss: 1.2097	LR: 0.020000
Training Epoch: 2 [1024/46250]	Loss: 1.0292	LR: 0.020000
Training Epoch: 2 [1280/46250]	Loss: 1.0445	LR: 0.020000
Training Epoch: 2 [1536/46250]	Loss: 1.0532	LR: 0.020000
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Training Epoch: 2 [22784/46250]	Loss: 0.7605	LR: 0.020000
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Training Epoch: 2 [40448/46250]	Loss: 0.8255	LR: 0.020000
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Training Epoch: 2 [41728/46250]	Loss: 0.6891	LR: 0.020000
Training Epoch: 2 [41984/46250]	Loss: 0.7361	LR: 0.020000
Training Epoch: 2 [42240/46250]	Loss: 0.6480	LR: 0.020000
Training Epoch: 2 [42496/46250]	Loss: 0.6939	LR: 0.020000
Training Epoch: 2 [42752/46250]	Loss: 0.6170	LR: 0.020000
Training Epoch: 2 [43008/46250]	Loss: 0.5823	LR: 0.020000
Training Epoch: 2 [43264/46250]	Loss: 0.7185	LR: 0.020000
Training Epoch: 2 [43520/46250]	Loss: 0.7905	LR: 0.020000
Training Epoch: 2 [43776/46250]	Loss: 0.7162	LR: 0.020000
Training Epoch: 2 [44032/46250]	Loss: 0.6856	LR: 0.020000
Training Epoch: 2 [44288/46250]	Loss: 0.8444	LR: 0.020000
Training Epoch: 2 [44544/46250]	Loss: 0.7145	LR: 0.020000
Training Epoch: 2 [44800/46250]	Loss: 0.6005	LR: 0.020000
Training Epoch: 2 [45056/46250]	Loss: 0.6550	LR: 0.020000
Training Epoch: 2 [45312/46250]	Loss: 0.7941	LR: 0.020000
Training Epoch: 2 [45568/46250]	Loss: 0.7485	LR: 0.020000
Training Epoch: 2 [45824/46250]	Loss: 0.7654	LR: 0.020000
Training Epoch: 2 [46080/46250]	Loss: 0.6964	LR: 0.020000
Training Epoch: 2 [46250/46250]	Loss: 0.7195	LR: 0.020000
Epoch 2 - Average Train Loss: 0.8389, Train Accuracy: 0.7020
Epoch 2 training time consumed: 18.12s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0034, Accuracy: 0.7053, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_13m_30s/ResNet18-Cifar10-seed8-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.5629	LR: 0.020000
Training Epoch: 3 [512/46250]	Loss: 0.7344	LR: 0.020000
Training Epoch: 3 [768/46250]	Loss: 0.7168	LR: 0.020000
Training Epoch: 3 [1024/46250]	Loss: 0.6903	LR: 0.020000
Training Epoch: 3 [1280/46250]	Loss: 0.6301	LR: 0.020000
Training Epoch: 3 [1536/46250]	Loss: 0.7676	LR: 0.020000
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Training Epoch: 3 [24576/46250]	Loss: 0.5981	LR: 0.020000
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Training Epoch: 3 [40192/46250]	Loss: 0.5919	LR: 0.020000
Training Epoch: 3 [40448/46250]	Loss: 0.5112	LR: 0.020000
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Training Epoch: 3 [42240/46250]	Loss: 0.5295	LR: 0.020000
Training Epoch: 3 [42496/46250]	Loss: 0.6465	LR: 0.020000
Training Epoch: 3 [42752/46250]	Loss: 0.6975	LR: 0.020000
Training Epoch: 3 [43008/46250]	Loss: 0.6868	LR: 0.020000
Training Epoch: 3 [43264/46250]	Loss: 0.6754	LR: 0.020000
Training Epoch: 3 [43520/46250]	Loss: 0.5262	LR: 0.020000
Training Epoch: 3 [43776/46250]	Loss: 0.5060	LR: 0.020000
Training Epoch: 3 [44032/46250]	Loss: 0.5973	LR: 0.020000
Training Epoch: 3 [44288/46250]	Loss: 0.5960	LR: 0.020000
Training Epoch: 3 [44544/46250]	Loss: 0.5297	LR: 0.020000
Training Epoch: 3 [44800/46250]	Loss: 0.6190	LR: 0.020000
Training Epoch: 3 [45056/46250]	Loss: 0.4947	LR: 0.020000
Training Epoch: 3 [45312/46250]	Loss: 0.7309	LR: 0.020000
Training Epoch: 3 [45568/46250]	Loss: 0.6138	LR: 0.020000
Training Epoch: 3 [45824/46250]	Loss: 0.6672	LR: 0.020000
Training Epoch: 3 [46080/46250]	Loss: 0.7176	LR: 0.020000
Training Epoch: 3 [46250/46250]	Loss: 0.5684	LR: 0.020000
Epoch 3 - Average Train Loss: 0.6326, Train Accuracy: 0.7773
Epoch 3 training time consumed: 18.05s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0030, Accuracy: 0.7367, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_13m_30s/ResNet18-Cifar10-seed8-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.5022	LR: 0.020000
Training Epoch: 4 [512/46250]	Loss: 0.5511	LR: 0.020000
Training Epoch: 4 [768/46250]	Loss: 0.5430	LR: 0.020000
Training Epoch: 4 [1024/46250]	Loss: 0.4935	LR: 0.020000
Training Epoch: 4 [1280/46250]	Loss: 0.4575	LR: 0.020000
Training Epoch: 4 [1536/46250]	Loss: 0.5377	LR: 0.020000
Training Epoch: 4 [1792/46250]	Loss: 0.4756	LR: 0.020000
Training Epoch: 4 [2048/46250]	Loss: 0.4407	LR: 0.020000
Training Epoch: 4 [2304/46250]	Loss: 0.5104	LR: 0.020000
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Training Epoch: 4 [46080/46250]	Loss: 0.6375	LR: 0.020000
Training Epoch: 4 [46250/46250]	Loss: 0.4425	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4924, Train Accuracy: 0.8254
Epoch 4 training time consumed: 17.91s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0025, Accuracy: 0.7786, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_13m_30s/ResNet18-Cifar10-seed8-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.4258	LR: 0.004000
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Training Epoch: 5 [28928/46250]	Loss: 0.2113	LR: 0.004000
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Training Epoch: 5 [40448/46250]	Loss: 0.1653	LR: 0.004000
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Training Epoch: 5 [42240/46250]	Loss: 0.1621	LR: 0.004000
Training Epoch: 5 [42496/46250]	Loss: 0.2272	LR: 0.004000
Training Epoch: 5 [42752/46250]	Loss: 0.1854	LR: 0.004000
Training Epoch: 5 [43008/46250]	Loss: 0.2237	LR: 0.004000
Training Epoch: 5 [43264/46250]	Loss: 0.2887	LR: 0.004000
Training Epoch: 5 [43520/46250]	Loss: 0.2589	LR: 0.004000
Training Epoch: 5 [43776/46250]	Loss: 0.2127	LR: 0.004000
Training Epoch: 5 [44032/46250]	Loss: 0.2584	LR: 0.004000
Training Epoch: 5 [44288/46250]	Loss: 0.1788	LR: 0.004000
Training Epoch: 5 [44544/46250]	Loss: 0.2334	LR: 0.004000
Training Epoch: 5 [44800/46250]	Loss: 0.1745	LR: 0.004000
Training Epoch: 5 [45056/46250]	Loss: 0.2951	LR: 0.004000
Training Epoch: 5 [45312/46250]	Loss: 0.1689	LR: 0.004000
Training Epoch: 5 [45568/46250]	Loss: 0.2030	LR: 0.004000
Training Epoch: 5 [45824/46250]	Loss: 0.2176	LR: 0.004000
Training Epoch: 5 [46080/46250]	Loss: 0.2368	LR: 0.004000
Training Epoch: 5 [46250/46250]	Loss: 0.1665	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2514, Train Accuracy: 0.9184
Epoch 5 training time consumed: 18.03s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0023, Accuracy: 0.8143, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_13m_30s/ResNet18-Cifar10-seed8-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.1255	LR: 0.004000
Training Epoch: 6 [512/46250]	Loss: 0.1397	LR: 0.004000
Training Epoch: 6 [768/46250]	Loss: 0.1778	LR: 0.004000
Training Epoch: 6 [1024/46250]	Loss: 0.1780	LR: 0.004000
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Training Epoch: 6 [1536/46250]	Loss: 0.1367	LR: 0.004000
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Training Epoch: 6 [2048/46250]	Loss: 0.1507	LR: 0.004000
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Training Epoch: 6 [4608/46250]	Loss: 0.1628	LR: 0.004000
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Training Epoch: 6 [29184/46250]	Loss: 0.1527	LR: 0.004000
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Training Epoch: 6 [30208/46250]	Loss: 0.1494	LR: 0.004000
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Training Epoch: 6 [37632/46250]	Loss: 0.1269	LR: 0.004000
Training Epoch: 6 [37888/46250]	Loss: 0.1496	LR: 0.004000
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Training Epoch: 6 [39936/46250]	Loss: 0.1797	LR: 0.004000
Training Epoch: 6 [40192/46250]	Loss: 0.1293	LR: 0.004000
Training Epoch: 6 [40448/46250]	Loss: 0.1659	LR: 0.004000
Training Epoch: 6 [40704/46250]	Loss: 0.1240	LR: 0.004000
Training Epoch: 6 [40960/46250]	Loss: 0.1459	LR: 0.004000
Training Epoch: 6 [41216/46250]	Loss: 0.1293	LR: 0.004000
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Training Epoch: 6 [41984/46250]	Loss: 0.1296	LR: 0.004000
Training Epoch: 6 [42240/46250]	Loss: 0.1136	LR: 0.004000
Training Epoch: 6 [42496/46250]	Loss: 0.1391	LR: 0.004000
Training Epoch: 6 [42752/46250]	Loss: 0.1364	LR: 0.004000
Training Epoch: 6 [43008/46250]	Loss: 0.1533	LR: 0.004000
Training Epoch: 6 [43264/46250]	Loss: 0.1639	LR: 0.004000
Training Epoch: 6 [43520/46250]	Loss: 0.1321	LR: 0.004000
Training Epoch: 6 [43776/46250]	Loss: 0.1574	LR: 0.004000
Training Epoch: 6 [44032/46250]	Loss: 0.2007	LR: 0.004000
Training Epoch: 6 [44288/46250]	Loss: 0.1381	LR: 0.004000
Training Epoch: 6 [44544/46250]	Loss: 0.1399	LR: 0.004000
Training Epoch: 6 [44800/46250]	Loss: 0.1428	LR: 0.004000
Training Epoch: 6 [45056/46250]	Loss: 0.1295	LR: 0.004000
Training Epoch: 6 [45312/46250]	Loss: 0.1301	LR: 0.004000
Training Epoch: 6 [45568/46250]	Loss: 0.1683	LR: 0.004000
Training Epoch: 6 [45824/46250]	Loss: 0.1944	LR: 0.004000
Training Epoch: 6 [46080/46250]	Loss: 0.2088	LR: 0.004000
Training Epoch: 6 [46250/46250]	Loss: 0.2019	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1539, Train Accuracy: 0.9533
Epoch 6 training time consumed: 18.31s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0025, Accuracy: 0.8105, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_13m_30s/ResNet18-Cifar10-seed8-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.0971	LR: 0.004000
Training Epoch: 7 [512/46250]	Loss: 0.1354	LR: 0.004000
Training Epoch: 7 [768/46250]	Loss: 0.1050	LR: 0.004000
Training Epoch: 7 [1024/46250]	Loss: 0.0741	LR: 0.004000
Training Epoch: 7 [1280/46250]	Loss: 0.0682	LR: 0.004000
Training Epoch: 7 [1536/46250]	Loss: 0.0904	LR: 0.004000
Training Epoch: 7 [1792/46250]	Loss: 0.0926	LR: 0.004000
Training Epoch: 7 [2048/46250]	Loss: 0.0775	LR: 0.004000
Training Epoch: 7 [2304/46250]	Loss: 0.0999	LR: 0.004000
Training Epoch: 7 [2560/46250]	Loss: 0.0909	LR: 0.004000
Training Epoch: 7 [2816/46250]	Loss: 0.0958	LR: 0.004000
Training Epoch: 7 [3072/46250]	Loss: 0.1033	LR: 0.004000
Training Epoch: 7 [3328/46250]	Loss: 0.0873	LR: 0.004000
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Training Epoch: 7 [4352/46250]	Loss: 0.0965	LR: 0.004000
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Training Epoch: 7 [5120/46250]	Loss: 0.0686	LR: 0.004000
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Training Epoch: 7 [8448/46250]	Loss: 0.0727	LR: 0.004000
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Training Epoch: 7 [43776/46250]	Loss: 0.0872	LR: 0.004000
Training Epoch: 7 [44032/46250]	Loss: 0.0834	LR: 0.004000
Training Epoch: 7 [44288/46250]	Loss: 0.1354	LR: 0.004000
Training Epoch: 7 [44544/46250]	Loss: 0.0849	LR: 0.004000
Training Epoch: 7 [44800/46250]	Loss: 0.0853	LR: 0.004000
Training Epoch: 7 [45056/46250]	Loss: 0.0856	LR: 0.004000
Training Epoch: 7 [45312/46250]	Loss: 0.1028	LR: 0.004000
Training Epoch: 7 [45568/46250]	Loss: 0.0950	LR: 0.004000
Training Epoch: 7 [45824/46250]	Loss: 0.0744	LR: 0.004000
Training Epoch: 7 [46080/46250]	Loss: 0.1118	LR: 0.004000
Training Epoch: 7 [46250/46250]	Loss: 0.0708	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0865, Train Accuracy: 0.9787
Epoch 7 training time consumed: 18.05s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.8120, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_13m_30s/ResNet18-Cifar10-seed8-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0428	LR: 0.004000
Training Epoch: 8 [512/46250]	Loss: 0.0437	LR: 0.004000
Training Epoch: 8 [768/46250]	Loss: 0.0495	LR: 0.004000
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Training Epoch: 8 [1280/46250]	Loss: 0.0367	LR: 0.004000
Training Epoch: 8 [1536/46250]	Loss: 0.0610	LR: 0.004000
Training Epoch: 8 [1792/46250]	Loss: 0.0381	LR: 0.004000
Training Epoch: 8 [2048/46250]	Loss: 0.0384	LR: 0.004000
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Training Epoch: 8 [10496/46250]	Loss: 0.0293	LR: 0.004000
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Training Epoch: 8 [11008/46250]	Loss: 0.0456	LR: 0.004000
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Training Epoch: 8 [12032/46250]	Loss: 0.0331	LR: 0.004000
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Training Epoch: 8 [16128/46250]	Loss: 0.0295	LR: 0.004000
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Training Epoch: 8 [28416/46250]	Loss: 0.0335	LR: 0.004000
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Training Epoch: 8 [28928/46250]	Loss: 0.0568	LR: 0.004000
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Training Epoch: 8 [29440/46250]	Loss: 0.0527	LR: 0.004000
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Training Epoch: 8 [29952/46250]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [30208/46250]	Loss: 0.0333	LR: 0.004000
Training Epoch: 8 [30464/46250]	Loss: 0.0512	LR: 0.004000
Training Epoch: 8 [30720/46250]	Loss: 0.0391	LR: 0.004000
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Training Epoch: 8 [35328/46250]	Loss: 0.0486	LR: 0.004000
Training Epoch: 8 [35584/46250]	Loss: 0.0393	LR: 0.004000
Training Epoch: 8 [35840/46250]	Loss: 0.0356	LR: 0.004000
Training Epoch: 8 [36096/46250]	Loss: 0.0434	LR: 0.004000
Training Epoch: 8 [36352/46250]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [36608/46250]	Loss: 0.0336	LR: 0.004000
Training Epoch: 8 [36864/46250]	Loss: 0.0372	LR: 0.004000
Training Epoch: 8 [37120/46250]	Loss: 0.0561	LR: 0.004000
Training Epoch: 8 [37376/46250]	Loss: 0.0456	LR: 0.004000
Training Epoch: 8 [37632/46250]	Loss: 0.0439	LR: 0.004000
Training Epoch: 8 [37888/46250]	Loss: 0.0664	LR: 0.004000
Training Epoch: 8 [38144/46250]	Loss: 0.0341	LR: 0.004000
Training Epoch: 8 [38400/46250]	Loss: 0.0421	LR: 0.004000
Training Epoch: 8 [38656/46250]	Loss: 0.0279	LR: 0.004000
Training Epoch: 8 [38912/46250]	Loss: 0.0540	LR: 0.004000
Training Epoch: 8 [39168/46250]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [39424/46250]	Loss: 0.0304	LR: 0.004000
Training Epoch: 8 [39680/46250]	Loss: 0.0149	LR: 0.004000
Training Epoch: 8 [39936/46250]	Loss: 0.0248	LR: 0.004000
Training Epoch: 8 [40192/46250]	Loss: 0.0326	LR: 0.004000
Training Epoch: 8 [40448/46250]	Loss: 0.0244	LR: 0.004000
Training Epoch: 8 [40704/46250]	Loss: 0.0482	LR: 0.004000
Training Epoch: 8 [40960/46250]	Loss: 0.0365	LR: 0.004000
Training Epoch: 8 [41216/46250]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [41472/46250]	Loss: 0.0414	LR: 0.004000
Training Epoch: 8 [41728/46250]	Loss: 0.0341	LR: 0.004000
Training Epoch: 8 [41984/46250]	Loss: 0.0528	LR: 0.004000
Training Epoch: 8 [42240/46250]	Loss: 0.0324	LR: 0.004000
Training Epoch: 8 [42496/46250]	Loss: 0.0374	LR: 0.004000
Training Epoch: 8 [42752/46250]	Loss: 0.0331	LR: 0.004000
Training Epoch: 8 [43008/46250]	Loss: 0.0352	LR: 0.004000
Training Epoch: 8 [43264/46250]	Loss: 0.0293	LR: 0.004000
Training Epoch: 8 [43520/46250]	Loss: 0.0346	LR: 0.004000
Training Epoch: 8 [43776/46250]	Loss: 0.0314	LR: 0.004000
Training Epoch: 8 [44032/46250]	Loss: 0.0342	LR: 0.004000
Training Epoch: 8 [44288/46250]	Loss: 0.0518	LR: 0.004000
Training Epoch: 8 [44544/46250]	Loss: 0.0343	LR: 0.004000
Training Epoch: 8 [44800/46250]	Loss: 0.0372	LR: 0.004000
Training Epoch: 8 [45056/46250]	Loss: 0.0561	LR: 0.004000
Training Epoch: 8 [45312/46250]	Loss: 0.0266	LR: 0.004000
Training Epoch: 8 [45568/46250]	Loss: 0.0234	LR: 0.004000
Training Epoch: 8 [45824/46250]	Loss: 0.0343	LR: 0.004000
Training Epoch: 8 [46080/46250]	Loss: 0.0343	LR: 0.004000
Training Epoch: 8 [46250/46250]	Loss: 0.0438	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0381, Train Accuracy: 0.9947
Epoch 8 training time consumed: 17.84s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0028, Accuracy: 0.8100, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_13m_30s/ResNet18-Cifar10-seed8-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.0317	LR: 0.000800
Training Epoch: 9 [512/46250]	Loss: 0.0210	LR: 0.000800
Training Epoch: 9 [768/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [1024/46250]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [1280/46250]	Loss: 0.0265	LR: 0.000800
Training Epoch: 9 [1536/46250]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [1792/46250]	Loss: 0.0174	LR: 0.000800
Training Epoch: 9 [2048/46250]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [2304/46250]	Loss: 0.0166	LR: 0.000800
Training Epoch: 9 [2560/46250]	Loss: 0.0235	LR: 0.000800
Training Epoch: 9 [2816/46250]	Loss: 0.0184	LR: 0.000800
Training Epoch: 9 [3072/46250]	Loss: 0.0210	LR: 0.000800
Training Epoch: 9 [3328/46250]	Loss: 0.0167	LR: 0.000800
Training Epoch: 9 [3584/46250]	Loss: 0.0223	LR: 0.000800
Training Epoch: 9 [3840/46250]	Loss: 0.0209	LR: 0.000800
Training Epoch: 9 [4096/46250]	Loss: 0.0171	LR: 0.000800
Training Epoch: 9 [4352/46250]	Loss: 0.0197	LR: 0.000800
Training Epoch: 9 [4608/46250]	Loss: 0.0202	LR: 0.000800
Training Epoch: 9 [4864/46250]	Loss: 0.0177	LR: 0.000800
Training Epoch: 9 [5120/46250]	Loss: 0.0309	LR: 0.000800
Training Epoch: 9 [5376/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [5632/46250]	Loss: 0.0193	LR: 0.000800
Training Epoch: 9 [5888/46250]	Loss: 0.0175	LR: 0.000800
Training Epoch: 9 [6144/46250]	Loss: 0.0225	LR: 0.000800
Training Epoch: 9 [6400/46250]	Loss: 0.0194	LR: 0.000800
Training Epoch: 9 [6656/46250]	Loss: 0.0153	LR: 0.000800
Training Epoch: 9 [6912/46250]	Loss: 0.0352	LR: 0.000800
Training Epoch: 9 [7168/46250]	Loss: 0.0174	LR: 0.000800
Training Epoch: 9 [7424/46250]	Loss: 0.0135	LR: 0.000800
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Training Epoch: 9 [7936/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [8192/46250]	Loss: 0.0164	LR: 0.000800
Training Epoch: 9 [8448/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [8704/46250]	Loss: 0.0197	LR: 0.000800
Training Epoch: 9 [8960/46250]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [9216/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [9472/46250]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [9728/46250]	Loss: 0.0195	LR: 0.000800
Training Epoch: 9 [9984/46250]	Loss: 0.0175	LR: 0.000800
Training Epoch: 9 [10240/46250]	Loss: 0.0161	LR: 0.000800
Training Epoch: 9 [10496/46250]	Loss: 0.0178	LR: 0.000800
Training Epoch: 9 [10752/46250]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [11008/46250]	Loss: 0.0218	LR: 0.000800
Training Epoch: 9 [11264/46250]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [11520/46250]	Loss: 0.0165	LR: 0.000800
Training Epoch: 9 [11776/46250]	Loss: 0.0204	LR: 0.000800
Training Epoch: 9 [12032/46250]	Loss: 0.0203	LR: 0.000800
Training Epoch: 9 [12288/46250]	Loss: 0.0179	LR: 0.000800
Training Epoch: 9 [12544/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [12800/46250]	Loss: 0.0213	LR: 0.000800
Training Epoch: 9 [13056/46250]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [13312/46250]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [13568/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [13824/46250]	Loss: 0.0173	LR: 0.000800
Training Epoch: 9 [14080/46250]	Loss: 0.0197	LR: 0.000800
Training Epoch: 9 [14336/46250]	Loss: 0.0237	LR: 0.000800
Training Epoch: 9 [14592/46250]	Loss: 0.0210	LR: 0.000800
Training Epoch: 9 [14848/46250]	Loss: 0.0209	LR: 0.000800
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Training Epoch: 9 [15360/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [15616/46250]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [15872/46250]	Loss: 0.0143	LR: 0.000800
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Training Epoch: 9 [21760/46250]	Loss: 0.0139	LR: 0.000800
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Training Epoch: 9 [22272/46250]	Loss: 0.0128	LR: 0.000800
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Training Epoch: 9 [25600/46250]	Loss: 0.0134	LR: 0.000800
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Training Epoch: 9 [26112/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [26368/46250]	Loss: 0.0158	LR: 0.000800
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Training Epoch: 9 [28928/46250]	Loss: 0.0182	LR: 0.000800
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Training Epoch: 9 [35584/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [35840/46250]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [36096/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [36352/46250]	Loss: 0.0165	LR: 0.000800
Training Epoch: 9 [36608/46250]	Loss: 0.0209	LR: 0.000800
Training Epoch: 9 [36864/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [37120/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [37376/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [37632/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [37888/46250]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [38144/46250]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [38400/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [38656/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [38912/46250]	Loss: 0.0186	LR: 0.000800
Training Epoch: 9 [39168/46250]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [39424/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [39680/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [39936/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [40192/46250]	Loss: 0.0185	LR: 0.000800
Training Epoch: 9 [40448/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [40704/46250]	Loss: 0.0164	LR: 0.000800
Training Epoch: 9 [40960/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [41216/46250]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [41472/46250]	Loss: 0.0169	LR: 0.000800
Training Epoch: 9 [41728/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [41984/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [42240/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [42496/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [42752/46250]	Loss: 0.0230	LR: 0.000800
Training Epoch: 9 [43008/46250]	Loss: 0.0153	LR: 0.000800
Training Epoch: 9 [43264/46250]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [43520/46250]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [43776/46250]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [44032/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [44288/46250]	Loss: 0.0199	LR: 0.000800
Training Epoch: 9 [44544/46250]	Loss: 0.0166	LR: 0.000800
Training Epoch: 9 [44800/46250]	Loss: 0.0193	LR: 0.000800
Training Epoch: 9 [45056/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [45312/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [45568/46250]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [45824/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [46080/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [46250/46250]	Loss: 0.0184	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0165, Train Accuracy: 0.9994
Epoch 9 training time consumed: 18.07s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0028, Accuracy: 0.8155, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_13m_30s/ResNet18-Cifar10-seed8-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.0143	LR: 0.000800
Training Epoch: 10 [512/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [768/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [1024/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [1280/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [1536/46250]	Loss: 0.0146	LR: 0.000800
Training Epoch: 10 [1792/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [2048/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 10 [2304/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [2560/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [2816/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [3072/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [3328/46250]	Loss: 0.0140	LR: 0.000800
Training Epoch: 10 [3584/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [3840/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [4096/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [4352/46250]	Loss: 0.0157	LR: 0.000800
Training Epoch: 10 [4608/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [4864/46250]	Loss: 0.0153	LR: 0.000800
Training Epoch: 10 [5120/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [5376/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [5632/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 10 [5888/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 10 [6144/46250]	Loss: 0.0156	LR: 0.000800
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Training Epoch: 10 [6656/46250]	Loss: 0.0126	LR: 0.000800
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Training Epoch: 10 [8192/46250]	Loss: 0.0180	LR: 0.000800
Training Epoch: 10 [8448/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [8704/46250]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [8960/46250]	Loss: 0.0116	LR: 0.000800
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Training Epoch: 10 [9472/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [9728/46250]	Loss: 0.0131	LR: 0.000800
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Training Epoch: 10 [10240/46250]	Loss: 0.0145	LR: 0.000800
Training Epoch: 10 [10496/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [10752/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [11008/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [11264/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [11520/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [11776/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [12032/46250]	Loss: 0.0110	LR: 0.000800
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Training Epoch: 10 [12800/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [13056/46250]	Loss: 0.0158	LR: 0.000800
Training Epoch: 10 [13312/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 10 [13568/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [13824/46250]	Loss: 0.0100	LR: 0.000800
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Training Epoch: 10 [14336/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [14592/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [14848/46250]	Loss: 0.0135	LR: 0.000800
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Training Epoch: 10 [37888/46250]	Loss: 0.0098	LR: 0.000800
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Training Epoch: 10 [38912/46250]	Loss: 0.0087	LR: 0.000800
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Training Epoch: 10 [41984/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 10 [42240/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [42496/46250]	Loss: 0.0142	LR: 0.000800
Training Epoch: 10 [42752/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [43008/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [43264/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 10 [43520/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [43776/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [44032/46250]	Loss: 0.0141	LR: 0.000800
Training Epoch: 10 [44288/46250]	Loss: 0.0187	LR: 0.000800
Training Epoch: 10 [44544/46250]	Loss: 0.0157	LR: 0.000800
Training Epoch: 10 [44800/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [45056/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [45312/46250]	Loss: 0.0065	LR: 0.000800
Training Epoch: 10 [45568/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [45824/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 10 [46080/46250]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [46250/46250]	Loss: 0.0172	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0125, Train Accuracy: 0.9999
Epoch 10 training time consumed: 18.21s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0028, Accuracy: 0.8170, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_13h_13m_30s/ResNet18-Cifar10-seed8-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: 81.8359375
Retain Accuracy: 99.99352264404297
Zero-Retain Forget (ZRF): 0.7836463451385498
Membership Inference Attack (MIA): 0.6008
Forget vs Retain Membership Inference Attack (MIA): 0.6286666666666667
Forget vs Test Membership Inference Attack (MIA): 0.498
Test vs Retain Membership Inference Attack (MIA): 0.62275
Train vs Test Membership Inference Attack (MIA): 0.63525
Forget Set Accuracy (Df): 82.64620971679688
Method Execution Time: 1107.32 seconds
