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: 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: 2.4219	LR: 0.000000
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Training Epoch: 1 [46080/47500]	Loss: 1.1935	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.2097	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.1621	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.1894	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.1263	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.2957	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.1897	LR: 0.099462
Epoch 1 - Average Train Loss: 1.5590, Train Accuracy: 0.4349
Epoch 1 training time consumed: 19.02s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0054, Accuracy: 0.5333, Time consumed:1.10s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_18m_37s/ResNet18-Cifar10-seed8-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.1537	LR: 0.020000
Training Epoch: 2 [512/47500]	Loss: 1.1952	LR: 0.020000
Training Epoch: 2 [768/47500]	Loss: 1.1285	LR: 0.020000
Training Epoch: 2 [1024/47500]	Loss: 1.0499	LR: 0.020000
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Training Epoch: 2 [47500/47500]	Loss: 0.7511	LR: 0.020000
Epoch 2 - Average Train Loss: 0.8375, Train Accuracy: 0.7006
Epoch 2 training time consumed: 18.71s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0032, Accuracy: 0.7132, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_18m_37s/ResNet18-Cifar10-seed8-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 0.5755	LR: 0.020000
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Training Epoch: 3 [47104/47500]	Loss: 0.6211	LR: 0.020000
Training Epoch: 3 [47360/47500]	Loss: 0.5246	LR: 0.020000
Training Epoch: 3 [47500/47500]	Loss: 0.7764	LR: 0.020000
Epoch 3 - Average Train Loss: 0.6207, Train Accuracy: 0.7784
Epoch 3 training time consumed: 18.58s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0027, Accuracy: 0.7706, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_18m_37s/ResNet18-Cifar10-seed8-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.4686	LR: 0.020000
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Training Epoch: 4 [47500/47500]	Loss: 0.3478	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4772, Train Accuracy: 0.8325
Epoch 4 training time consumed: 18.95s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0028, Accuracy: 0.7547, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_18m_37s/ResNet18-Cifar10-seed8-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 0.2922	LR: 0.004000
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Training Epoch: 5 [46592/47500]	Loss: 0.2190	LR: 0.004000
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Training Epoch: 5 [47360/47500]	Loss: 0.2077	LR: 0.004000
Training Epoch: 5 [47500/47500]	Loss: 0.2432	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2333, Train Accuracy: 0.9242
Epoch 5 training time consumed: 18.60s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8197, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_18m_37s/ResNet18-Cifar10-seed8-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.1502	LR: 0.004000
Training Epoch: 6 [512/47500]	Loss: 0.1701	LR: 0.004000
Training Epoch: 6 [768/47500]	Loss: 0.1165	LR: 0.004000
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Training Epoch: 6 [45056/47500]	Loss: 0.1362	LR: 0.004000
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Training Epoch: 6 [46336/47500]	Loss: 0.1362	LR: 0.004000
Training Epoch: 6 [46592/47500]	Loss: 0.1400	LR: 0.004000
Training Epoch: 6 [46848/47500]	Loss: 0.1391	LR: 0.004000
Training Epoch: 6 [47104/47500]	Loss: 0.1019	LR: 0.004000
Training Epoch: 6 [47360/47500]	Loss: 0.1200	LR: 0.004000
Training Epoch: 6 [47500/47500]	Loss: 0.1654	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1365, Train Accuracy: 0.9609
Epoch 6 training time consumed: 18.70s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8153, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_18m_37s/ResNet18-Cifar10-seed8-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.0809	LR: 0.004000
Training Epoch: 7 [512/47500]	Loss: 0.0836	LR: 0.004000
Training Epoch: 7 [768/47500]	Loss: 0.0738	LR: 0.004000
Training Epoch: 7 [1024/47500]	Loss: 0.0826	LR: 0.004000
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Training Epoch: 7 [47500/47500]	Loss: 0.0922	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0715, Train Accuracy: 0.9838
Epoch 7 training time consumed: 18.94s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.8176, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_18m_37s/ResNet18-Cifar10-seed8-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.0285	LR: 0.004000
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Training Epoch: 8 [1536/47500]	Loss: 0.0504	LR: 0.004000
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Training Epoch: 8 [43520/47500]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [43776/47500]	Loss: 0.0273	LR: 0.004000
Training Epoch: 8 [44032/47500]	Loss: 0.0176	LR: 0.004000
Training Epoch: 8 [44288/47500]	Loss: 0.0277	LR: 0.004000
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Training Epoch: 8 [45056/47500]	Loss: 0.0240	LR: 0.004000
Training Epoch: 8 [45312/47500]	Loss: 0.0248	LR: 0.004000
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Training Epoch: 8 [45824/47500]	Loss: 0.0205	LR: 0.004000
Training Epoch: 8 [46080/47500]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [46336/47500]	Loss: 0.0328	LR: 0.004000
Training Epoch: 8 [46592/47500]	Loss: 0.0250	LR: 0.004000
Training Epoch: 8 [46848/47500]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [47104/47500]	Loss: 0.0292	LR: 0.004000
Training Epoch: 8 [47360/47500]	Loss: 0.0259	LR: 0.004000
Training Epoch: 8 [47500/47500]	Loss: 0.0314	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0325, Train Accuracy: 0.9956
Epoch 8 training time consumed: 18.64s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.8166, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_18m_37s/ResNet18-Cifar10-seed8-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.0180	LR: 0.000800
Training Epoch: 9 [512/47500]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [768/47500]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [1024/47500]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [1280/47500]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [1536/47500]	Loss: 0.0183	LR: 0.000800
Training Epoch: 9 [1792/47500]	Loss: 0.0219	LR: 0.000800
Training Epoch: 9 [2048/47500]	Loss: 0.0134	LR: 0.000800
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Training Epoch: 9 [2560/47500]	Loss: 0.0188	LR: 0.000800
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Training Epoch: 9 [43520/47500]	Loss: 0.0144	LR: 0.000800
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Training Epoch: 9 [44800/47500]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [45056/47500]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [45312/47500]	Loss: 0.0108	LR: 0.000800
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Training Epoch: 9 [46080/47500]	Loss: 0.0198	LR: 0.000800
Training Epoch: 9 [46336/47500]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [46592/47500]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [46848/47500]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [47104/47500]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [47360/47500]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [47500/47500]	Loss: 0.0213	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0134, Train Accuracy: 0.9997
Epoch 9 training time consumed: 18.57s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0027, Accuracy: 0.8227, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_18m_37s/ResNet18-Cifar10-seed8-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [512/47500]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [768/47500]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [1024/47500]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [1280/47500]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [1536/47500]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [1792/47500]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [2048/47500]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [2304/47500]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [2560/47500]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [2816/47500]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [3072/47500]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [3328/47500]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 10 [46336/47500]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [46592/47500]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [46848/47500]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [47104/47500]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [47360/47500]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [47500/47500]	Loss: 0.0082	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0107, Train Accuracy: 0.9999
Epoch 10 training time consumed: 18.73s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0027, Accuracy: 0.8228, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_18m_37s/ResNet18-Cifar10-seed8-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: 82.255859375
Retain Accuracy: 99.9979019165039
Zero-Retain Forget (ZRF): 0.7780078649520874
Membership Inference Attack (MIA): 0.602
Forget vs Retain Membership Inference Attack (MIA): 0.613
Forget vs Test Membership Inference Attack (MIA): 0.492
Test vs Retain Membership Inference Attack (MIA): 0.62225
Train vs Test Membership Inference Attack (MIA): 0.637
Forget Set Accuracy (Df): 84.42442321777344
Method Execution Time: 1119.11 seconds
