hello
hello
Labels

📌S Retain class distribution for seed 4:
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 4:
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: 4750
  Class 1: 4750
  Class 2: 4750
  Class 3: 4750
  Class 4: 4750
  Class 5: 4750
  Class 6: 4750
  Class 7: 4750
  Class 8: 4750
  Class 9: 4750
Forget set:
  Class 0: 250
  Class 1: 250
  Class 2: 250
  Class 3: 250
  Class 4: 250
  Class 5: 250
  Class 6: 250
  Class 7: 250
  Class 8: 250
  Class 9: 250
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.3232	LR: 0.000000
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Training Epoch: 1 [41984/47500]	Loss: 1.1964	LR: 0.087634
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Training Epoch: 1 [44288/47500]	Loss: 1.1778	LR: 0.092473
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Training Epoch: 1 [44800/47500]	Loss: 1.2290	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.2644	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.4087	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.2757	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.1535	LR: 0.095699
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Training Epoch: 1 [46336/47500]	Loss: 1.1563	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.0696	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.0969	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.1266	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.0284	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 0.8692	LR: 0.099462
Epoch 1 - Average Train Loss: 1.5297, Train Accuracy: 0.4456
Epoch 1 training time consumed: 19.30s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0051, Accuracy: 0.5494, Time consumed:1.10s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_02m_29s/ResNet18-Cifar10-seed4-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.2890	LR: 0.020000
Training Epoch: 2 [512/47500]	Loss: 1.1174	LR: 0.020000
Training Epoch: 2 [768/47500]	Loss: 1.0766	LR: 0.020000
Training Epoch: 2 [1024/47500]	Loss: 1.0513	LR: 0.020000
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Training Epoch: 2 [47500/47500]	Loss: 0.6248	LR: 0.020000
Epoch 2 - Average Train Loss: 0.8048, Train Accuracy: 0.7138
Epoch 2 training time consumed: 18.84s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0032, Accuracy: 0.7203, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_02m_29s/ResNet18-Cifar10-seed4-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 0.6228	LR: 0.020000
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Training Epoch: 3 [47104/47500]	Loss: 0.5691	LR: 0.020000
Training Epoch: 3 [47360/47500]	Loss: 0.5859	LR: 0.020000
Training Epoch: 3 [47500/47500]	Loss: 0.5421	LR: 0.020000
Epoch 3 - Average Train Loss: 0.6060, Train Accuracy: 0.7852
Epoch 3 training time consumed: 19.05s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0029, Accuracy: 0.7562, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_02m_29s/ResNet18-Cifar10-seed4-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.4860	LR: 0.020000
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Training Epoch: 4 [47500/47500]	Loss: 0.4318	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4677, Train Accuracy: 0.8348
Epoch 4 training time consumed: 18.65s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0029, Accuracy: 0.7596, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_02m_29s/ResNet18-Cifar10-seed4-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 0.3246	LR: 0.004000
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Training Epoch: 5 [47360/47500]	Loss: 0.2004	LR: 0.004000
Training Epoch: 5 [47500/47500]	Loss: 0.2796	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2357, Train Accuracy: 0.9227
Epoch 5 training time consumed: 18.50s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0023, Accuracy: 0.8200, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_02m_29s/ResNet18-Cifar10-seed4-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.1256	LR: 0.004000
Training Epoch: 6 [512/47500]	Loss: 0.1858	LR: 0.004000
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Training Epoch: 6 [46592/47500]	Loss: 0.1107	LR: 0.004000
Training Epoch: 6 [46848/47500]	Loss: 0.1396	LR: 0.004000
Training Epoch: 6 [47104/47500]	Loss: 0.1459	LR: 0.004000
Training Epoch: 6 [47360/47500]	Loss: 0.0927	LR: 0.004000
Training Epoch: 6 [47500/47500]	Loss: 0.0785	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1411, Train Accuracy: 0.9565
Epoch 6 training time consumed: 18.42s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0023, Accuracy: 0.8165, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_02m_29s/ResNet18-Cifar10-seed4-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.0810	LR: 0.004000
Training Epoch: 7 [512/47500]	Loss: 0.0870	LR: 0.004000
Training Epoch: 7 [768/47500]	Loss: 0.0886	LR: 0.004000
Training Epoch: 7 [1024/47500]	Loss: 0.0687	LR: 0.004000
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Training Epoch: 7 [47500/47500]	Loss: 0.0800	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0775, Train Accuracy: 0.9813
Epoch 7 training time consumed: 18.70s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.8227, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_02m_29s/ResNet18-Cifar10-seed4-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.0231	LR: 0.004000
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Training Epoch: 8 [1536/47500]	Loss: 0.0539	LR: 0.004000
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Training Epoch: 8 [26368/47500]	Loss: 0.0269	LR: 0.004000
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Training Epoch: 8 [43520/47500]	Loss: 0.0236	LR: 0.004000
Training Epoch: 8 [43776/47500]	Loss: 0.0537	LR: 0.004000
Training Epoch: 8 [44032/47500]	Loss: 0.0297	LR: 0.004000
Training Epoch: 8 [44288/47500]	Loss: 0.0387	LR: 0.004000
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Training Epoch: 8 [44800/47500]	Loss: 0.0390	LR: 0.004000
Training Epoch: 8 [45056/47500]	Loss: 0.0653	LR: 0.004000
Training Epoch: 8 [45312/47500]	Loss: 0.0244	LR: 0.004000
Training Epoch: 8 [45568/47500]	Loss: 0.0425	LR: 0.004000
Training Epoch: 8 [45824/47500]	Loss: 0.0314	LR: 0.004000
Training Epoch: 8 [46080/47500]	Loss: 0.0250	LR: 0.004000
Training Epoch: 8 [46336/47500]	Loss: 0.0325	LR: 0.004000
Training Epoch: 8 [46592/47500]	Loss: 0.0317	LR: 0.004000
Training Epoch: 8 [46848/47500]	Loss: 0.0518	LR: 0.004000
Training Epoch: 8 [47104/47500]	Loss: 0.0409	LR: 0.004000
Training Epoch: 8 [47360/47500]	Loss: 0.0424	LR: 0.004000
Training Epoch: 8 [47500/47500]	Loss: 0.0577	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0354, Train Accuracy: 0.9951
Epoch 8 training time consumed: 18.90s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0026, Accuracy: 0.8214, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_02m_29s/ResNet18-Cifar10-seed4-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [512/47500]	Loss: 0.0185	LR: 0.000800
Training Epoch: 9 [768/47500]	Loss: 0.0227	LR: 0.000800
Training Epoch: 9 [1024/47500]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [1280/47500]	Loss: 0.0253	LR: 0.000800
Training Epoch: 9 [1536/47500]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [1792/47500]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [2048/47500]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [2304/47500]	Loss: 0.0201	LR: 0.000800
Training Epoch: 9 [2560/47500]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [2816/47500]	Loss: 0.0207	LR: 0.000800
Training Epoch: 9 [3072/47500]	Loss: 0.0229	LR: 0.000800
Training Epoch: 9 [3328/47500]	Loss: 0.0187	LR: 0.000800
Training Epoch: 9 [3584/47500]	Loss: 0.0263	LR: 0.000800
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Training Epoch: 9 [4352/47500]	Loss: 0.0174	LR: 0.000800
Training Epoch: 9 [4608/47500]	Loss: 0.0130	LR: 0.000800
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Training Epoch: 9 [42496/47500]	Loss: 0.0140	LR: 0.000800
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Training Epoch: 9 [43264/47500]	Loss: 0.0144	LR: 0.000800
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Training Epoch: 9 [44288/47500]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [44544/47500]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [44800/47500]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [45056/47500]	Loss: 0.0166	LR: 0.000800
Training Epoch: 9 [45312/47500]	Loss: 0.0216	LR: 0.000800
Training Epoch: 9 [45568/47500]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [45824/47500]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [46080/47500]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [46336/47500]	Loss: 0.0209	LR: 0.000800
Training Epoch: 9 [46592/47500]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [46848/47500]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [47104/47500]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [47360/47500]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [47500/47500]	Loss: 0.0119	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0150, Train Accuracy: 0.9995
Epoch 9 training time consumed: 18.80s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8250, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_02m_29s/ResNet18-Cifar10-seed4-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [512/47500]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [768/47500]	Loss: 0.0145	LR: 0.000800
Training Epoch: 10 [1024/47500]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [1280/47500]	Loss: 0.0142	LR: 0.000800
Training Epoch: 10 [1536/47500]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [1792/47500]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [2048/47500]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [2304/47500]	Loss: 0.0159	LR: 0.000800
Training Epoch: 10 [2560/47500]	Loss: 0.0136	LR: 0.000800
Training Epoch: 10 [2816/47500]	Loss: 0.0162	LR: 0.000800
Training Epoch: 10 [3072/47500]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [3328/47500]	Loss: 0.0141	LR: 0.000800
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Training Epoch: 10 [46336/47500]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [46592/47500]	Loss: 0.0187	LR: 0.000800
Training Epoch: 10 [46848/47500]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [47104/47500]	Loss: 0.0166	LR: 0.000800
Training Epoch: 10 [47360/47500]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [47500/47500]	Loss: 0.0058	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0119, Train Accuracy: 0.9997
Epoch 10 training time consumed: 19.02s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0026, Accuracy: 0.8249, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_02m_29s/ResNet18-Cifar10-seed4-ret50-10-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 82.4609375
Retain Accuracy: 99.9916000366211
Zero-Retain Forget (ZRF): 0.7760411500930786
Membership Inference Attack (MIA): 0.6088
Forget vs Retain Membership Inference Attack (MIA): 0.6
Forget vs Test Membership Inference Attack (MIA): 0.487
Test vs Retain Membership Inference Attack (MIA): 0.6165
Train vs Test Membership Inference Attack (MIA): 0.6185
Forget Set Accuracy (Df): 82.89460754394531
Method Execution Time: 1134.39 seconds
