hello
hello
Labels

📌S Retain class distribution for seed 9:
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 9:
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 [46336/47500]	Loss: 1.2661	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.3386	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.1115	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.2021	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.1044	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.0143	LR: 0.099462
Epoch 1 - Average Train Loss: 1.4944, Train Accuracy: 0.4608
Epoch 1 training time consumed: 19.24s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0053, Accuracy: 0.5441, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_37m_34s/ResNet18-Cifar10-seed9-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.0775	LR: 0.020000
Training Epoch: 2 [512/47500]	Loss: 1.0091	LR: 0.020000
Training Epoch: 2 [768/47500]	Loss: 1.1574	LR: 0.020000
Training Epoch: 2 [1024/47500]	Loss: 0.9046	LR: 0.020000
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Training Epoch: 2 [1536/47500]	Loss: 1.0269	LR: 0.020000
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Training Epoch: 2 [47360/47500]	Loss: 0.7776	LR: 0.020000
Training Epoch: 2 [47500/47500]	Loss: 0.7355	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7761, Train Accuracy: 0.7241
Epoch 2 training time consumed: 18.65s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0031, Accuracy: 0.7261, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_37m_34s/ResNet18-Cifar10-seed9-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 0.5514	LR: 0.020000
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Training Epoch: 3 [47104/47500]	Loss: 0.5575	LR: 0.020000
Training Epoch: 3 [47360/47500]	Loss: 0.5455	LR: 0.020000
Training Epoch: 3 [47500/47500]	Loss: 0.6361	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5865, Train Accuracy: 0.7938
Epoch 3 training time consumed: 18.75s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0028, Accuracy: 0.7480, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_37m_34s/ResNet18-Cifar10-seed9-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.4777	LR: 0.020000
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Training Epoch: 4 [47500/47500]	Loss: 0.3251	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4547, Train Accuracy: 0.8403
Epoch 4 training time consumed: 18.81s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0027, Accuracy: 0.7693, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_37m_34s/ResNet18-Cifar10-seed9-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 0.3706	LR: 0.004000
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Training Epoch: 5 [46336/47500]	Loss: 0.1626	LR: 0.004000
Training Epoch: 5 [46592/47500]	Loss: 0.1879	LR: 0.004000
Training Epoch: 5 [46848/47500]	Loss: 0.1965	LR: 0.004000
Training Epoch: 5 [47104/47500]	Loss: 0.2003	LR: 0.004000
Training Epoch: 5 [47360/47500]	Loss: 0.1980	LR: 0.004000
Training Epoch: 5 [47500/47500]	Loss: 0.2383	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2226, Train Accuracy: 0.9292
Epoch 5 training time consumed: 18.75s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8241, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_37m_34s/ResNet18-Cifar10-seed9-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.1231	LR: 0.004000
Training Epoch: 6 [512/47500]	Loss: 0.1707	LR: 0.004000
Training Epoch: 6 [768/47500]	Loss: 0.1480	LR: 0.004000
Training Epoch: 6 [1024/47500]	Loss: 0.1685	LR: 0.004000
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Training Epoch: 6 [45056/47500]	Loss: 0.0997	LR: 0.004000
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Training Epoch: 6 [46336/47500]	Loss: 0.1547	LR: 0.004000
Training Epoch: 6 [46592/47500]	Loss: 0.1290	LR: 0.004000
Training Epoch: 6 [46848/47500]	Loss: 0.1410	LR: 0.004000
Training Epoch: 6 [47104/47500]	Loss: 0.1381	LR: 0.004000
Training Epoch: 6 [47360/47500]	Loss: 0.1374	LR: 0.004000
Training Epoch: 6 [47500/47500]	Loss: 0.0878	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1306, Train Accuracy: 0.9611
Epoch 6 training time consumed: 18.73s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0025, Accuracy: 0.8166, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_37m_34s/ResNet18-Cifar10-seed9-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.0753	LR: 0.004000
Training Epoch: 7 [512/47500]	Loss: 0.0713	LR: 0.004000
Training Epoch: 7 [768/47500]	Loss: 0.1158	LR: 0.004000
Training Epoch: 7 [1024/47500]	Loss: 0.0788	LR: 0.004000
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Training Epoch: 7 [47500/47500]	Loss: 0.0525	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0694, Train Accuracy: 0.9844
Epoch 7 training time consumed: 18.78s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.8150, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_37m_34s/ResNet18-Cifar10-seed9-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.0281	LR: 0.004000
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Training Epoch: 8 [768/47500]	Loss: 0.0398	LR: 0.004000
Training Epoch: 8 [1024/47500]	Loss: 0.0246	LR: 0.004000
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Training Epoch: 8 [1536/47500]	Loss: 0.0342	LR: 0.004000
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Training Epoch: 8 [26368/47500]	Loss: 0.0224	LR: 0.004000
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Training Epoch: 8 [43264/47500]	Loss: 0.0192	LR: 0.004000
Training Epoch: 8 [43520/47500]	Loss: 0.0319	LR: 0.004000
Training Epoch: 8 [43776/47500]	Loss: 0.0261	LR: 0.004000
Training Epoch: 8 [44032/47500]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [44288/47500]	Loss: 0.0203	LR: 0.004000
Training Epoch: 8 [44544/47500]	Loss: 0.0454	LR: 0.004000
Training Epoch: 8 [44800/47500]	Loss: 0.0264	LR: 0.004000
Training Epoch: 8 [45056/47500]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [45312/47500]	Loss: 0.0314	LR: 0.004000
Training Epoch: 8 [45568/47500]	Loss: 0.0340	LR: 0.004000
Training Epoch: 8 [45824/47500]	Loss: 0.0354	LR: 0.004000
Training Epoch: 8 [46080/47500]	Loss: 0.0275	LR: 0.004000
Training Epoch: 8 [46336/47500]	Loss: 0.0336	LR: 0.004000
Training Epoch: 8 [46592/47500]	Loss: 0.0253	LR: 0.004000
Training Epoch: 8 [46848/47500]	Loss: 0.0258	LR: 0.004000
Training Epoch: 8 [47104/47500]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [47360/47500]	Loss: 0.0231	LR: 0.004000
Training Epoch: 8 [47500/47500]	Loss: 0.0272	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0302, Train Accuracy: 0.9964
Epoch 8 training time consumed: 18.50s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0028, Accuracy: 0.8166, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_37m_34s/ResNet18-Cifar10-seed9-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.0174	LR: 0.000800
Training Epoch: 9 [512/47500]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [768/47500]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [1024/47500]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [1280/47500]	Loss: 0.0155	LR: 0.000800
Training Epoch: 9 [1536/47500]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [1792/47500]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [2048/47500]	Loss: 0.0221	LR: 0.000800
Training Epoch: 9 [2304/47500]	Loss: 0.0155	LR: 0.000800
Training Epoch: 9 [2560/47500]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [2816/47500]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [3072/47500]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [3328/47500]	Loss: 0.0187	LR: 0.000800
Training Epoch: 9 [3584/47500]	Loss: 0.0174	LR: 0.000800
Training Epoch: 9 [3840/47500]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [4096/47500]	Loss: 0.0167	LR: 0.000800
Training Epoch: 9 [4352/47500]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [4608/47500]	Loss: 0.0195	LR: 0.000800
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Training Epoch: 9 [5120/47500]	Loss: 0.0201	LR: 0.000800
Training Epoch: 9 [5376/47500]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [5632/47500]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [5888/47500]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [6144/47500]	Loss: 0.0152	LR: 0.000800
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Training Epoch: 9 [11264/47500]	Loss: 0.0196	LR: 0.000800
Training Epoch: 9 [11520/47500]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [11776/47500]	Loss: 0.0119	LR: 0.000800
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Training Epoch: 9 [28416/47500]	Loss: 0.0191	LR: 0.000800
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Training Epoch: 9 [31232/47500]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [31488/47500]	Loss: 0.0134	LR: 0.000800
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Training Epoch: 9 [32000/47500]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [32256/47500]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [32512/47500]	Loss: 0.0155	LR: 0.000800
Training Epoch: 9 [32768/47500]	Loss: 0.0191	LR: 0.000800
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Training Epoch: 9 [35840/47500]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [36096/47500]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [36352/47500]	Loss: 0.0153	LR: 0.000800
Training Epoch: 9 [36608/47500]	Loss: 0.0127	LR: 0.000800
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Training Epoch: 9 [39936/47500]	Loss: 0.0213	LR: 0.000800
Training Epoch: 9 [40192/47500]	Loss: 0.0127	LR: 0.000800
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Training Epoch: 9 [40960/47500]	Loss: 0.0450	LR: 0.000800
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Training Epoch: 9 [41472/47500]	Loss: 0.0128	LR: 0.000800
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Training Epoch: 9 [42240/47500]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [42496/47500]	Loss: 0.0144	LR: 0.000800
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Training Epoch: 9 [43264/47500]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [43520/47500]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [43776/47500]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [44032/47500]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [44288/47500]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [44544/47500]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [44800/47500]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [45056/47500]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [45312/47500]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [45568/47500]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [45824/47500]	Loss: 0.0193	LR: 0.000800
Training Epoch: 9 [46080/47500]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [46336/47500]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [46592/47500]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [46848/47500]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [47104/47500]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [47360/47500]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [47500/47500]	Loss: 0.0092	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0138, Train Accuracy: 0.9997
Epoch 9 training time consumed: 18.70s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0027, Accuracy: 0.8221, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_37m_34s/ResNet18-Cifar10-seed9-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [512/47500]	Loss: 0.0176	LR: 0.000800
Training Epoch: 10 [768/47500]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [1024/47500]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [1280/47500]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [1536/47500]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [1792/47500]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [2048/47500]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [2304/47500]	Loss: 0.0139	LR: 0.000800
Training Epoch: 10 [2560/47500]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [2816/47500]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [3072/47500]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [3328/47500]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [3584/47500]	Loss: 0.0099	LR: 0.000800
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Training Epoch: 10 [46336/47500]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [46592/47500]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [46848/47500]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [47104/47500]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [47360/47500]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [47500/47500]	Loss: 0.0135	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0112, Train Accuracy: 0.9998
Epoch 10 training time consumed: 18.97s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0027, Accuracy: 0.8225, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_37m_34s/ResNet18-Cifar10-seed9-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: 82.080078125
Retain Accuracy: 99.9979019165039
Zero-Retain Forget (ZRF): 0.7773889303207397
Membership Inference Attack (MIA): 0.6152
Forget vs Retain Membership Inference Attack (MIA): 0.614
Forget vs Test Membership Inference Attack (MIA): 0.495
Test vs Retain Membership Inference Attack (MIA): 0.62425
Train vs Test Membership Inference Attack (MIA): 0.62525
Forget Set Accuracy (Df): 82.2911376953125
Method Execution Time: 1135.02 seconds
