hello
hello
Labels

📌S Retain class distribution for seed 2:
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 2:
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: 2.4348	LR: 0.000000
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Training Epoch: 1 [38144/47500]	Loss: 1.3424	LR: 0.079570
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Training Epoch: 1 [41984/47500]	Loss: 1.0984	LR: 0.087634
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Training Epoch: 1 [44032/47500]	Loss: 1.1531	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.4873	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.1302	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.3166	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.2775	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.2112	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.2156	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.3864	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.2551	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.0943	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.1645	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.1393	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.1217	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.2181	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 0.9959	LR: 0.099462
Epoch 1 - Average Train Loss: 1.5423, Train Accuracy: 0.4457
Epoch 1 training time consumed: 19.15s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0076, Accuracy: 0.4451, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_24m_34s/ResNet18-Cifar10-seed2-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.1147	LR: 0.020000
Training Epoch: 2 [512/47500]	Loss: 1.2009	LR: 0.020000
Training Epoch: 2 [768/47500]	Loss: 0.9092	LR: 0.020000
Training Epoch: 2 [1024/47500]	Loss: 1.0323	LR: 0.020000
Training Epoch: 2 [1280/47500]	Loss: 1.0436	LR: 0.020000
Training Epoch: 2 [1536/47500]	Loss: 0.9197	LR: 0.020000
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Training Epoch: 2 [47500/47500]	Loss: 0.6412	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7806, Train Accuracy: 0.7235
Epoch 2 training time consumed: 18.86s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0031, Accuracy: 0.7261, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_24m_34s/ResNet18-Cifar10-seed2-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 0.6599	LR: 0.020000
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Training Epoch: 3 [47104/47500]	Loss: 0.5412	LR: 0.020000
Training Epoch: 3 [47360/47500]	Loss: 0.5805	LR: 0.020000
Training Epoch: 3 [47500/47500]	Loss: 0.5675	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5786, Train Accuracy: 0.7953
Epoch 3 training time consumed: 18.83s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0030, Accuracy: 0.7456, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_24m_34s/ResNet18-Cifar10-seed2-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.4198	LR: 0.020000
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Training Epoch: 4 [47500/47500]	Loss: 0.5757	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4530, Train Accuracy: 0.8419
Epoch 4 training time consumed: 18.52s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0032, Accuracy: 0.7340, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_24m_34s/ResNet18-Cifar10-seed2-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 0.2926	LR: 0.004000
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Training Epoch: 5 [45824/47500]	Loss: 0.1803	LR: 0.004000
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Training Epoch: 5 [46336/47500]	Loss: 0.1782	LR: 0.004000
Training Epoch: 5 [46592/47500]	Loss: 0.1570	LR: 0.004000
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Training Epoch: 5 [47360/47500]	Loss: 0.1793	LR: 0.004000
Training Epoch: 5 [47500/47500]	Loss: 0.1197	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2102, Train Accuracy: 0.9347
Epoch 5 training time consumed: 18.62s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8239, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_24m_34s/ResNet18-Cifar10-seed2-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.1696	LR: 0.004000
Training Epoch: 6 [512/47500]	Loss: 0.1200	LR: 0.004000
Training Epoch: 6 [768/47500]	Loss: 0.1300	LR: 0.004000
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Training Epoch: 6 [45056/47500]	Loss: 0.1095	LR: 0.004000
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Training Epoch: 6 [46336/47500]	Loss: 0.0959	LR: 0.004000
Training Epoch: 6 [46592/47500]	Loss: 0.1252	LR: 0.004000
Training Epoch: 6 [46848/47500]	Loss: 0.0986	LR: 0.004000
Training Epoch: 6 [47104/47500]	Loss: 0.1050	LR: 0.004000
Training Epoch: 6 [47360/47500]	Loss: 0.1268	LR: 0.004000
Training Epoch: 6 [47500/47500]	Loss: 0.1308	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1174, Train Accuracy: 0.9680
Epoch 6 training time consumed: 18.35s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8218, Time consumed:1.07s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_24m_34s/ResNet18-Cifar10-seed2-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.0830	LR: 0.004000
Training Epoch: 7 [512/47500]	Loss: 0.0624	LR: 0.004000
Training Epoch: 7 [768/47500]	Loss: 0.0835	LR: 0.004000
Training Epoch: 7 [1024/47500]	Loss: 0.0842	LR: 0.004000
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Training Epoch: 7 [47500/47500]	Loss: 0.0677	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0616, Train Accuracy: 0.9873
Epoch 7 training time consumed: 18.77s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.8158, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_24m_34s/ResNet18-Cifar10-seed2-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.0303	LR: 0.004000
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Training Epoch: 8 [1536/47500]	Loss: 0.0303	LR: 0.004000
Training Epoch: 8 [1792/47500]	Loss: 0.0371	LR: 0.004000
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Training Epoch: 8 [26368/47500]	Loss: 0.0268	LR: 0.004000
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Training Epoch: 8 [43520/47500]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [43776/47500]	Loss: 0.0290	LR: 0.004000
Training Epoch: 8 [44032/47500]	Loss: 0.0319	LR: 0.004000
Training Epoch: 8 [44288/47500]	Loss: 0.0179	LR: 0.004000
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Training Epoch: 8 [44800/47500]	Loss: 0.0366	LR: 0.004000
Training Epoch: 8 [45056/47500]	Loss: 0.0246	LR: 0.004000
Training Epoch: 8 [45312/47500]	Loss: 0.0205	LR: 0.004000
Training Epoch: 8 [45568/47500]	Loss: 0.0209	LR: 0.004000
Training Epoch: 8 [45824/47500]	Loss: 0.0143	LR: 0.004000
Training Epoch: 8 [46080/47500]	Loss: 0.0236	LR: 0.004000
Training Epoch: 8 [46336/47500]	Loss: 0.0390	LR: 0.004000
Training Epoch: 8 [46592/47500]	Loss: 0.0243	LR: 0.004000
Training Epoch: 8 [46848/47500]	Loss: 0.0270	LR: 0.004000
Training Epoch: 8 [47104/47500]	Loss: 0.0405	LR: 0.004000
Training Epoch: 8 [47360/47500]	Loss: 0.0174	LR: 0.004000
Training Epoch: 8 [47500/47500]	Loss: 0.0327	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0278, Train Accuracy: 0.9970
Epoch 8 training time consumed: 18.39s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0026, Accuracy: 0.8251, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_24m_34s/ResNet18-Cifar10-seed2-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.0078	LR: 0.000800
Training Epoch: 9 [512/47500]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [768/47500]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [1024/47500]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [1280/47500]	Loss: 0.0181	LR: 0.000800
Training Epoch: 9 [1536/47500]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [1792/47500]	Loss: 0.0376	LR: 0.000800
Training Epoch: 9 [2048/47500]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [2304/47500]	Loss: 0.0177	LR: 0.000800
Training Epoch: 9 [2560/47500]	Loss: 0.0166	LR: 0.000800
Training Epoch: 9 [2816/47500]	Loss: 0.0256	LR: 0.000800
Training Epoch: 9 [3072/47500]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [3328/47500]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [3584/47500]	Loss: 0.0103	LR: 0.000800
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Training Epoch: 9 [4352/47500]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [4608/47500]	Loss: 0.0130	LR: 0.000800
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Training Epoch: 9 [5632/47500]	Loss: 0.0136	LR: 0.000800
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Training Epoch: 9 [11264/47500]	Loss: 0.0113	LR: 0.000800
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Training Epoch: 9 [35840/47500]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [36096/47500]	Loss: 0.0131	LR: 0.000800
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Training Epoch: 9 [40192/47500]	Loss: 0.0075	LR: 0.000800
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Training Epoch: 9 [41728/47500]	Loss: 0.0112	LR: 0.000800
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Training Epoch: 9 [42496/47500]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 9 [43520/47500]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [43776/47500]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [44032/47500]	Loss: 0.0160	LR: 0.000800
Training Epoch: 9 [44288/47500]	Loss: 0.0090	LR: 0.000800
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Training Epoch: 9 [44800/47500]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [45056/47500]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [45312/47500]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [45568/47500]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [45824/47500]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [46080/47500]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [46336/47500]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [46592/47500]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [46848/47500]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [47104/47500]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [47360/47500]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [47500/47500]	Loss: 0.0142	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0130, Train Accuracy: 0.9997
Epoch 9 training time consumed: 18.88s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8265, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_24m_34s/ResNet18-Cifar10-seed2-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.0156	LR: 0.000800
Training Epoch: 10 [512/47500]	Loss: 0.0208	LR: 0.000800
Training Epoch: 10 [768/47500]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [1024/47500]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [1280/47500]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [1536/47500]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [1792/47500]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [2048/47500]	Loss: 0.0197	LR: 0.000800
Training Epoch: 10 [2304/47500]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [2560/47500]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [2816/47500]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [3072/47500]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [3328/47500]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [3584/47500]	Loss: 0.0085	LR: 0.000800
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Training Epoch: 10 [46336/47500]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [46592/47500]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [46848/47500]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [47104/47500]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [47360/47500]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [47500/47500]	Loss: 0.0090	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0109, Train Accuracy: 0.9999
Epoch 10 training time consumed: 18.54s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0026, Accuracy: 0.8256, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_24m_34s/ResNet18-Cifar10-seed2-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: 82.529296875
Retain Accuracy: 99.98739624023438
Zero-Retain Forget (ZRF): 0.7787758708000183
Membership Inference Attack (MIA): 0.62
Forget vs Retain Membership Inference Attack (MIA): 0.605
Forget vs Test Membership Inference Attack (MIA): 0.526
Test vs Retain Membership Inference Attack (MIA): 0.6115
Train vs Test Membership Inference Attack (MIA): 0.634
Forget Set Accuracy (Df): 83.36973571777344
Method Execution Time: 1129.29 seconds
