hello
hello
Labels

📌S Retain class distribution for seed 10:
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 10:
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 [44288/47500]	Loss: 1.2347	LR: 0.092473
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Training Epoch: 1 [44800/47500]	Loss: 1.2661	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.2681	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.1692	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.3329	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.0881	LR: 0.095699
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Training Epoch: 1 [46336/47500]	Loss: 1.0674	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.0828	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.1704	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.1811	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.0031	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 0.9518	LR: 0.099462
Epoch 1 - Average Train Loss: 1.5409, Train Accuracy: 0.4423
Epoch 1 training time consumed: 18.87s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0065, Accuracy: 0.5062, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_56m_47s/ResNet18-Cifar10-seed10-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.2304	LR: 0.020000
Training Epoch: 2 [512/47500]	Loss: 1.1986	LR: 0.020000
Training Epoch: 2 [768/47500]	Loss: 1.1871	LR: 0.020000
Training Epoch: 2 [1024/47500]	Loss: 1.0422	LR: 0.020000
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Training Epoch: 2 [47500/47500]	Loss: 0.6720	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7854, Train Accuracy: 0.7224
Epoch 2 training time consumed: 18.59s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0032, Accuracy: 0.7220, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_56m_47s/ResNet18-Cifar10-seed10-ret50-2-best.pth
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Training Epoch: 3 [47104/47500]	Loss: 0.5518	LR: 0.020000
Training Epoch: 3 [47360/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 3 [47500/47500]	Loss: 0.5391	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5926, Train Accuracy: 0.7916
Epoch 3 training time consumed: 18.60s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0030, Accuracy: 0.7446, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_56m_47s/ResNet18-Cifar10-seed10-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.4357	LR: 0.020000
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Training Epoch: 4 [47500/47500]	Loss: 0.5712	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4531, Train Accuracy: 0.8397
Epoch 4 training time consumed: 18.78s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0028, Accuracy: 0.7702, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_56m_47s/ResNet18-Cifar10-seed10-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 0.3066	LR: 0.004000
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Training Epoch: 5 [45056/47500]	Loss: 0.2116	LR: 0.004000
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Training Epoch: 5 [45824/47500]	Loss: 0.2522	LR: 0.004000
Training Epoch: 5 [46080/47500]	Loss: 0.2581	LR: 0.004000
Training Epoch: 5 [46336/47500]	Loss: 0.1632	LR: 0.004000
Training Epoch: 5 [46592/47500]	Loss: 0.1702	LR: 0.004000
Training Epoch: 5 [46848/47500]	Loss: 0.1727	LR: 0.004000
Training Epoch: 5 [47104/47500]	Loss: 0.1595	LR: 0.004000
Training Epoch: 5 [47360/47500]	Loss: 0.1762	LR: 0.004000
Training Epoch: 5 [47500/47500]	Loss: 0.1793	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2170, Train Accuracy: 0.9310
Epoch 5 training time consumed: 18.45s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0023, Accuracy: 0.8131, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_56m_47s/ResNet18-Cifar10-seed10-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.1468	LR: 0.004000
Training Epoch: 6 [512/47500]	Loss: 0.1339	LR: 0.004000
Training Epoch: 6 [768/47500]	Loss: 0.1395	LR: 0.004000
Training Epoch: 6 [1024/47500]	Loss: 0.1121	LR: 0.004000
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Training Epoch: 6 [45056/47500]	Loss: 0.1241	LR: 0.004000
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Training Epoch: 6 [45824/47500]	Loss: 0.1199	LR: 0.004000
Training Epoch: 6 [46080/47500]	Loss: 0.1156	LR: 0.004000
Training Epoch: 6 [46336/47500]	Loss: 0.0971	LR: 0.004000
Training Epoch: 6 [46592/47500]	Loss: 0.1270	LR: 0.004000
Training Epoch: 6 [46848/47500]	Loss: 0.1222	LR: 0.004000
Training Epoch: 6 [47104/47500]	Loss: 0.1453	LR: 0.004000
Training Epoch: 6 [47360/47500]	Loss: 0.1074	LR: 0.004000
Training Epoch: 6 [47500/47500]	Loss: 0.1402	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1192, Train Accuracy: 0.9659
Epoch 6 training time consumed: 18.36s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0023, Accuracy: 0.8195, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_56m_47s/ResNet18-Cifar10-seed10-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.0625	LR: 0.004000
Training Epoch: 7 [512/47500]	Loss: 0.1143	LR: 0.004000
Training Epoch: 7 [768/47500]	Loss: 0.0833	LR: 0.004000
Training Epoch: 7 [1024/47500]	Loss: 0.0594	LR: 0.004000
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Training Epoch: 7 [47360/47500]	Loss: 0.0512	LR: 0.004000
Training Epoch: 7 [47500/47500]	Loss: 0.0666	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0582, Train Accuracy: 0.9887
Epoch 7 training time consumed: 18.51s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.8195, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_56m_47s/ResNet18-Cifar10-seed10-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.0306	LR: 0.004000
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Training Epoch: 8 [768/47500]	Loss: 0.0279	LR: 0.004000
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Training Epoch: 8 [1536/47500]	Loss: 0.0344	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 [43264/47500]	Loss: 0.0159	LR: 0.004000
Training Epoch: 8 [43520/47500]	Loss: 0.0335	LR: 0.004000
Training Epoch: 8 [43776/47500]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [44032/47500]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [44288/47500]	Loss: 0.0249	LR: 0.004000
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Training Epoch: 8 [44800/47500]	Loss: 0.0130	LR: 0.004000
Training Epoch: 8 [45056/47500]	Loss: 0.0481	LR: 0.004000
Training Epoch: 8 [45312/47500]	Loss: 0.0364	LR: 0.004000
Training Epoch: 8 [45568/47500]	Loss: 0.0271	LR: 0.004000
Training Epoch: 8 [45824/47500]	Loss: 0.0258	LR: 0.004000
Training Epoch: 8 [46080/47500]	Loss: 0.0213	LR: 0.004000
Training Epoch: 8 [46336/47500]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [46592/47500]	Loss: 0.0151	LR: 0.004000
Training Epoch: 8 [46848/47500]	Loss: 0.0292	LR: 0.004000
Training Epoch: 8 [47104/47500]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [47360/47500]	Loss: 0.0193	LR: 0.004000
Training Epoch: 8 [47500/47500]	Loss: 0.0280	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0251, Train Accuracy: 0.9975
Epoch 8 training time consumed: 18.51s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0028, Accuracy: 0.8154, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_56m_47s/ResNet18-Cifar10-seed10-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [512/47500]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [768/47500]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [1024/47500]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [1280/47500]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [1536/47500]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [1792/47500]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [2048/47500]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [2304/47500]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [2560/47500]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [2816/47500]	Loss: 0.0175	LR: 0.000800
Training Epoch: 9 [3072/47500]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [3328/47500]	Loss: 0.0158	LR: 0.000800
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Training Epoch: 9 [4096/47500]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 9 [4608/47500]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 9 [5632/47500]	Loss: 0.0099	LR: 0.000800
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Training Epoch: 9 [36096/47500]	Loss: 0.0091	LR: 0.000800
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Training Epoch: 9 [37376/47500]	Loss: 0.0093	LR: 0.000800
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Training Epoch: 9 [37888/47500]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 9 [39168/47500]	Loss: 0.0095	LR: 0.000800
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Training Epoch: 9 [41472/47500]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [41728/47500]	Loss: 0.0135	LR: 0.000800
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Training Epoch: 9 [43264/47500]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [43520/47500]	Loss: 0.0100	LR: 0.000800
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Training Epoch: 9 [45056/47500]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [45312/47500]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [45568/47500]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [45824/47500]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [46080/47500]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [46336/47500]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [46592/47500]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [46848/47500]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [47104/47500]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [47360/47500]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [47500/47500]	Loss: 0.0118	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0122, Train Accuracy: 0.9998
Epoch 9 training time consumed: 18.76s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0027, Accuracy: 0.8237, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_56m_47s/ResNet18-Cifar10-seed10-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [512/47500]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [768/47500]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [1024/47500]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [1280/47500]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [1536/47500]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [1792/47500]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [2048/47500]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [2304/47500]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [2560/47500]	Loss: 0.0140	LR: 0.000800
Training Epoch: 10 [2816/47500]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [3072/47500]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [3328/47500]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [3584/47500]	Loss: 0.0084	LR: 0.000800
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Training Epoch: 10 [46080/47500]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [46336/47500]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [46592/47500]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [46848/47500]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [47104/47500]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [47360/47500]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [47500/47500]	Loss: 0.0092	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0101, Train Accuracy: 0.9999
Epoch 10 training time consumed: 18.63s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0027, Accuracy: 0.8217, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_56m_47s/ResNet18-Cifar10-seed10-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: 82.294921875
Retain Accuracy: 99.99579620361328
Zero-Retain Forget (ZRF): 0.7812994718551636
Membership Inference Attack (MIA): 0.6064
Forget vs Retain Membership Inference Attack (MIA): 0.61
Forget vs Test Membership Inference Attack (MIA): 0.485
Test vs Retain Membership Inference Attack (MIA): 0.62625
Train vs Test Membership Inference Attack (MIA): 0.635
Forget Set Accuracy (Df): 83.43829345703125
Method Execution Time: 1131.22 seconds
