hello
hello
Labels

📌S Retain class distribution for seed 3:
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 3:
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.
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Training Epoch: 1 [41984/47500]	Loss: 1.2993	LR: 0.087634
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Training Epoch: 1 [44288/47500]	Loss: 1.1727	LR: 0.092473
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Training Epoch: 1 [44800/47500]	Loss: 1.3477	LR: 0.093548
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Training Epoch: 1 [45568/47500]	Loss: 1.2575	LR: 0.095161
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Training Epoch: 1 [46336/47500]	Loss: 1.2452	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.2479	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.1859	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.2118	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.2011	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.0876	LR: 0.099462
Epoch 1 - Average Train Loss: 1.5383, Train Accuracy: 0.4440
Epoch 1 training time consumed: 18.91s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0092, Accuracy: 0.4433, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_43m_41s/ResNet18-Cifar10-seed3-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.1605	LR: 0.020000
Training Epoch: 2 [512/47500]	Loss: 1.2042	LR: 0.020000
Training Epoch: 2 [768/47500]	Loss: 1.1905	LR: 0.020000
Training Epoch: 2 [1024/47500]	Loss: 1.0220	LR: 0.020000
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Training Epoch: 2 [47500/47500]	Loss: 0.8067	LR: 0.020000
Epoch 2 - Average Train Loss: 0.8020, Train Accuracy: 0.7159
Epoch 2 training time consumed: 18.56s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0031, Accuracy: 0.7362, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_43m_41s/ResNet18-Cifar10-seed3-ret50-2-best.pth
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Training Epoch: 3 [47104/47500]	Loss: 0.5600	LR: 0.020000
Training Epoch: 3 [47360/47500]	Loss: 0.6023	LR: 0.020000
Training Epoch: 3 [47500/47500]	Loss: 0.6412	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5953, Train Accuracy: 0.7895
Epoch 3 training time consumed: 18.40s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0028, Accuracy: 0.7536, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_43m_41s/ResNet18-Cifar10-seed3-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.4312	LR: 0.020000
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Training Epoch: 4 [47500/47500]	Loss: 0.4146	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4587, Train Accuracy: 0.8402
Epoch 4 training time consumed: 18.55s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0028, Accuracy: 0.7625, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_43m_41s/ResNet18-Cifar10-seed3-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 0.3024	LR: 0.004000
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Training Epoch: 5 [47360/47500]	Loss: 0.2045	LR: 0.004000
Training Epoch: 5 [47500/47500]	Loss: 0.3010	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2153, Train Accuracy: 0.9310
Epoch 5 training time consumed: 18.53s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8246, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_43m_41s/ResNet18-Cifar10-seed3-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.1098	LR: 0.004000
Training Epoch: 6 [512/47500]	Loss: 0.1135	LR: 0.004000
Training Epoch: 6 [768/47500]	Loss: 0.1557	LR: 0.004000
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Training Epoch: 6 [45056/47500]	Loss: 0.1493	LR: 0.004000
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Training Epoch: 6 [45824/47500]	Loss: 0.1186	LR: 0.004000
Training Epoch: 6 [46080/47500]	Loss: 0.1289	LR: 0.004000
Training Epoch: 6 [46336/47500]	Loss: 0.1271	LR: 0.004000
Training Epoch: 6 [46592/47500]	Loss: 0.0843	LR: 0.004000
Training Epoch: 6 [46848/47500]	Loss: 0.1112	LR: 0.004000
Training Epoch: 6 [47104/47500]	Loss: 0.1098	LR: 0.004000
Training Epoch: 6 [47360/47500]	Loss: 0.1094	LR: 0.004000
Training Epoch: 6 [47500/47500]	Loss: 0.0984	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1208, Train Accuracy: 0.9646
Epoch 6 training time consumed: 18.25s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8217, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_43m_41s/ResNet18-Cifar10-seed3-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.0711	LR: 0.004000
Training Epoch: 7 [512/47500]	Loss: 0.0855	LR: 0.004000
Training Epoch: 7 [768/47500]	Loss: 0.0826	LR: 0.004000
Training Epoch: 7 [1024/47500]	Loss: 0.0603	LR: 0.004000
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Training Epoch: 7 [47500/47500]	Loss: 0.0536	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0615, Train Accuracy: 0.9873
Epoch 7 training time consumed: 18.45s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.8163, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_43m_41s/ResNet18-Cifar10-seed3-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.0230	LR: 0.004000
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Training Epoch: 8 [768/47500]	Loss: 0.0265	LR: 0.004000
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Training Epoch: 8 [1536/47500]	Loss: 0.0329	LR: 0.004000
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Training Epoch: 8 [26368/47500]	Loss: 0.0309	LR: 0.004000
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Training Epoch: 8 [43264/47500]	Loss: 0.0429	LR: 0.004000
Training Epoch: 8 [43520/47500]	Loss: 0.0346	LR: 0.004000
Training Epoch: 8 [43776/47500]	Loss: 0.0174	LR: 0.004000
Training Epoch: 8 [44032/47500]	Loss: 0.0200	LR: 0.004000
Training Epoch: 8 [44288/47500]	Loss: 0.0299	LR: 0.004000
Training Epoch: 8 [44544/47500]	Loss: 0.0285	LR: 0.004000
Training Epoch: 8 [44800/47500]	Loss: 0.0213	LR: 0.004000
Training Epoch: 8 [45056/47500]	Loss: 0.0304	LR: 0.004000
Training Epoch: 8 [45312/47500]	Loss: 0.0204	LR: 0.004000
Training Epoch: 8 [45568/47500]	Loss: 0.0372	LR: 0.004000
Training Epoch: 8 [45824/47500]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [46080/47500]	Loss: 0.0284	LR: 0.004000
Training Epoch: 8 [46336/47500]	Loss: 0.0286	LR: 0.004000
Training Epoch: 8 [46592/47500]	Loss: 0.0234	LR: 0.004000
Training Epoch: 8 [46848/47500]	Loss: 0.0308	LR: 0.004000
Training Epoch: 8 [47104/47500]	Loss: 0.0168	LR: 0.004000
Training Epoch: 8 [47360/47500]	Loss: 0.0216	LR: 0.004000
Training Epoch: 8 [47500/47500]	Loss: 0.0258	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0270, Train Accuracy: 0.9974
Epoch 8 training time consumed: 18.49s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.8188, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_43m_41s/ResNet18-Cifar10-seed3-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [512/47500]	Loss: 0.0153	LR: 0.000800
Training Epoch: 9 [768/47500]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [1024/47500]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [1280/47500]	Loss: 0.0161	LR: 0.000800
Training Epoch: 9 [1536/47500]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [1792/47500]	Loss: 0.0200	LR: 0.000800
Training Epoch: 9 [2048/47500]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [2304/47500]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [2560/47500]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [2816/47500]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [3072/47500]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [3328/47500]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [3584/47500]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [3840/47500]	Loss: 0.0171	LR: 0.000800
Training Epoch: 9 [4096/47500]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [4352/47500]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [4608/47500]	Loss: 0.0132	LR: 0.000800
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Training Epoch: 9 [11264/47500]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [11520/47500]	Loss: 0.0113	LR: 0.000800
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Training Epoch: 9 [23040/47500]	Loss: 0.0093	LR: 0.000800
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Training Epoch: 9 [30976/47500]	Loss: 0.0152	LR: 0.000800
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Training Epoch: 9 [32256/47500]	Loss: 0.0098	LR: 0.000800
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Training Epoch: 9 [36096/47500]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [36352/47500]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [36608/47500]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [36864/47500]	Loss: 0.0099	LR: 0.000800
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Training Epoch: 9 [37376/47500]	Loss: 0.0129	LR: 0.000800
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Training Epoch: 9 [38912/47500]	Loss: 0.0097	LR: 0.000800
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Training Epoch: 9 [40192/47500]	Loss: 0.0189	LR: 0.000800
Training Epoch: 9 [40448/47500]	Loss: 0.0102	LR: 0.000800
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Training Epoch: 9 [40960/47500]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [41216/47500]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [41472/47500]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [41728/47500]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [41984/47500]	Loss: 0.0097	LR: 0.000800
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Training Epoch: 9 [42496/47500]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [42752/47500]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [43008/47500]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [43264/47500]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [43520/47500]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [43776/47500]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [44032/47500]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [44288/47500]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [44544/47500]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [44800/47500]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [45056/47500]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [45312/47500]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [45568/47500]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [45824/47500]	Loss: 0.0164	LR: 0.000800
Training Epoch: 9 [46080/47500]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [46336/47500]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [46592/47500]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [46848/47500]	Loss: 0.0169	LR: 0.000800
Training Epoch: 9 [47104/47500]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [47360/47500]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [47500/47500]	Loss: 0.0156	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0127, Train Accuracy: 0.9996
Epoch 9 training time consumed: 18.28s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8260, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_43m_41s/ResNet18-Cifar10-seed3-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.0131	LR: 0.000800
Training Epoch: 10 [512/47500]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [768/47500]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [1024/47500]	Loss: 0.0141	LR: 0.000800
Training Epoch: 10 [1280/47500]	Loss: 0.0138	LR: 0.000800
Training Epoch: 10 [1536/47500]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [1792/47500]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [2048/47500]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [2304/47500]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [2560/47500]	Loss: 0.0143	LR: 0.000800
Training Epoch: 10 [2816/47500]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [3072/47500]	Loss: 0.0157	LR: 0.000800
Training Epoch: 10 [3328/47500]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [3584/47500]	Loss: 0.0090	LR: 0.000800
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Training Epoch: 10 [45824/47500]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [46080/47500]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [46336/47500]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [46592/47500]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [46848/47500]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [47104/47500]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [47360/47500]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [47500/47500]	Loss: 0.0082	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0106, Train Accuracy: 0.9999
Epoch 10 training time consumed: 18.41s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0027, Accuracy: 0.8258, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_43m_41s/ResNet18-Cifar10-seed3-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: 82.6953125
Retain Accuracy: 99.99579620361328
Zero-Retain Forget (ZRF): 0.7760889530181885
Membership Inference Attack (MIA): 0.628
Forget vs Retain Membership Inference Attack (MIA): 0.603
Forget vs Test Membership Inference Attack (MIA): 0.513
Test vs Retain Membership Inference Attack (MIA): 0.62175
Train vs Test Membership Inference Attack (MIA): 0.63225
Forget Set Accuracy (Df): 82.96954345703125
Method Execution Time: 1110.58 seconds
