hello
hello
Labels

📌S Retain class distribution for seed 7:
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 7:
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: 2.4882	LR: 0.000000
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Training Epoch: 1 [44288/47500]	Loss: 1.2181	LR: 0.092473
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Training Epoch: 1 [45056/47500]	Loss: 1.0721	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.3366	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.1092	LR: 0.095161
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Training Epoch: 1 [46336/47500]	Loss: 1.3876	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.2265	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.2658	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.3935	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.1460	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.2167	LR: 0.099462
Epoch 1 - Average Train Loss: 1.5474, Train Accuracy: 0.4391
Epoch 1 training time consumed: 19.12s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0055, Accuracy: 0.5493, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_59m_48s/ResNet18-Cifar10-seed7-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.2269	LR: 0.020000
Training Epoch: 2 [512/47500]	Loss: 1.2082	LR: 0.020000
Training Epoch: 2 [768/47500]	Loss: 1.0899	LR: 0.020000
Training Epoch: 2 [1024/47500]	Loss: 1.1037	LR: 0.020000
Training Epoch: 2 [1280/47500]	Loss: 0.9871	LR: 0.020000
Training Epoch: 2 [1536/47500]	Loss: 1.0152	LR: 0.020000
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Training Epoch: 2 [47500/47500]	Loss: 0.7237	LR: 0.020000
Epoch 2 - Average Train Loss: 0.8119, Train Accuracy: 0.7100
Epoch 2 training time consumed: 18.42s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0034, Accuracy: 0.7010, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_59m_48s/ResNet18-Cifar10-seed7-ret50-2-best.pth
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Training Epoch: 3 [47104/47500]	Loss: 0.5975	LR: 0.020000
Training Epoch: 3 [47360/47500]	Loss: 0.6073	LR: 0.020000
Training Epoch: 3 [47500/47500]	Loss: 0.7215	LR: 0.020000
Epoch 3 - Average Train Loss: 0.6054, Train Accuracy: 0.7874
Epoch 3 training time consumed: 18.42s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0027, Accuracy: 0.7669, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_59m_48s/ResNet18-Cifar10-seed7-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.4626	LR: 0.020000
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Training Epoch: 4 [47500/47500]	Loss: 0.4169	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4700, Train Accuracy: 0.8343
Epoch 4 training time consumed: 18.56s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0030, Accuracy: 0.7489, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_59m_48s/ResNet18-Cifar10-seed7-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 0.2801	LR: 0.004000
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Training Epoch: 5 [44288/47500]	Loss: 0.2334	LR: 0.004000
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Training Epoch: 5 [44800/47500]	Loss: 0.1881	LR: 0.004000
Training Epoch: 5 [45056/47500]	Loss: 0.2554	LR: 0.004000
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Training Epoch: 5 [46336/47500]	Loss: 0.2592	LR: 0.004000
Training Epoch: 5 [46592/47500]	Loss: 0.1486	LR: 0.004000
Training Epoch: 5 [46848/47500]	Loss: 0.2007	LR: 0.004000
Training Epoch: 5 [47104/47500]	Loss: 0.2183	LR: 0.004000
Training Epoch: 5 [47360/47500]	Loss: 0.2140	LR: 0.004000
Training Epoch: 5 [47500/47500]	Loss: 0.1770	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2365, Train Accuracy: 0.9221
Epoch 5 training time consumed: 18.67s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8181, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_59m_48s/ResNet18-Cifar10-seed7-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.1493	LR: 0.004000
Training Epoch: 6 [512/47500]	Loss: 0.1261	LR: 0.004000
Training Epoch: 6 [768/47500]	Loss: 0.1202	LR: 0.004000
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Training Epoch: 6 [45056/47500]	Loss: 0.1515	LR: 0.004000
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Training Epoch: 6 [46336/47500]	Loss: 0.1344	LR: 0.004000
Training Epoch: 6 [46592/47500]	Loss: 0.1476	LR: 0.004000
Training Epoch: 6 [46848/47500]	Loss: 0.0959	LR: 0.004000
Training Epoch: 6 [47104/47500]	Loss: 0.1596	LR: 0.004000
Training Epoch: 6 [47360/47500]	Loss: 0.1746	LR: 0.004000
Training Epoch: 6 [47500/47500]	Loss: 0.1323	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1393, Train Accuracy: 0.9583
Epoch 6 training time consumed: 18.60s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8124, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_59m_48s/ResNet18-Cifar10-seed7-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.1010	LR: 0.004000
Training Epoch: 7 [512/47500]	Loss: 0.0726	LR: 0.004000
Training Epoch: 7 [768/47500]	Loss: 0.0821	LR: 0.004000
Training Epoch: 7 [1024/47500]	Loss: 0.0723	LR: 0.004000
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Training Epoch: 7 [47500/47500]	Loss: 0.0759	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0746, Train Accuracy: 0.9819
Epoch 7 training time consumed: 18.48s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0024, Accuracy: 0.8187, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_59m_48s/ResNet18-Cifar10-seed7-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.0405	LR: 0.004000
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Training Epoch: 8 [26368/47500]	Loss: 0.0269	LR: 0.004000
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Training Epoch: 8 [43264/47500]	Loss: 0.0332	LR: 0.004000
Training Epoch: 8 [43520/47500]	Loss: 0.0373	LR: 0.004000
Training Epoch: 8 [43776/47500]	Loss: 0.0259	LR: 0.004000
Training Epoch: 8 [44032/47500]	Loss: 0.0294	LR: 0.004000
Training Epoch: 8 [44288/47500]	Loss: 0.0179	LR: 0.004000
Training Epoch: 8 [44544/47500]	Loss: 0.0374	LR: 0.004000
Training Epoch: 8 [44800/47500]	Loss: 0.0359	LR: 0.004000
Training Epoch: 8 [45056/47500]	Loss: 0.0454	LR: 0.004000
Training Epoch: 8 [45312/47500]	Loss: 0.0521	LR: 0.004000
Training Epoch: 8 [45568/47500]	Loss: 0.0324	LR: 0.004000
Training Epoch: 8 [45824/47500]	Loss: 0.0356	LR: 0.004000
Training Epoch: 8 [46080/47500]	Loss: 0.0316	LR: 0.004000
Training Epoch: 8 [46336/47500]	Loss: 0.0270	LR: 0.004000
Training Epoch: 8 [46592/47500]	Loss: 0.0252	LR: 0.004000
Training Epoch: 8 [46848/47500]	Loss: 0.0167	LR: 0.004000
Training Epoch: 8 [47104/47500]	Loss: 0.0507	LR: 0.004000
Training Epoch: 8 [47360/47500]	Loss: 0.0272	LR: 0.004000
Training Epoch: 8 [47500/47500]	Loss: 0.0364	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0327, Train Accuracy: 0.9960
Epoch 8 training time consumed: 18.45s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.8197, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_59m_48s/ResNet18-Cifar10-seed7-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.0158	LR: 0.000800
Training Epoch: 9 [512/47500]	Loss: 0.0218	LR: 0.000800
Training Epoch: 9 [768/47500]	Loss: 0.0190	LR: 0.000800
Training Epoch: 9 [1024/47500]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [1280/47500]	Loss: 0.0197	LR: 0.000800
Training Epoch: 9 [1536/47500]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [1792/47500]	Loss: 0.0173	LR: 0.000800
Training Epoch: 9 [2048/47500]	Loss: 0.0166	LR: 0.000800
Training Epoch: 9 [2304/47500]	Loss: 0.0181	LR: 0.000800
Training Epoch: 9 [2560/47500]	Loss: 0.0183	LR: 0.000800
Training Epoch: 9 [2816/47500]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [3072/47500]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [3328/47500]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [3584/47500]	Loss: 0.0278	LR: 0.000800
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Training Epoch: 9 [4096/47500]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [4352/47500]	Loss: 0.0186	LR: 0.000800
Training Epoch: 9 [4608/47500]	Loss: 0.0164	LR: 0.000800
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Training Epoch: 9 [31232/47500]	Loss: 0.0117	LR: 0.000800
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Training Epoch: 9 [36096/47500]	Loss: 0.0188	LR: 0.000800
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Training Epoch: 9 [39936/47500]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [40192/47500]	Loss: 0.0146	LR: 0.000800
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Training Epoch: 9 [41472/47500]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [41728/47500]	Loss: 0.0149	LR: 0.000800
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Training Epoch: 9 [42240/47500]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [42496/47500]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [42752/47500]	Loss: 0.0146	LR: 0.000800
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Training Epoch: 9 [43520/47500]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [43776/47500]	Loss: 0.0180	LR: 0.000800
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Training Epoch: 9 [44288/47500]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [44544/47500]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [44800/47500]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [45056/47500]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [45312/47500]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [45568/47500]	Loss: 0.0160	LR: 0.000800
Training Epoch: 9 [45824/47500]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [46080/47500]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [46336/47500]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [46592/47500]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [46848/47500]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [47104/47500]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [47360/47500]	Loss: 0.0166	LR: 0.000800
Training Epoch: 9 [47500/47500]	Loss: 0.0084	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0141, Train Accuracy: 0.9997
Epoch 9 training time consumed: 18.37s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8241, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_59m_48s/ResNet18-Cifar10-seed7-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [512/47500]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [768/47500]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [1024/47500]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [1280/47500]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [1536/47500]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [1792/47500]	Loss: 0.0155	LR: 0.000800
Training Epoch: 10 [2048/47500]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [2304/47500]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [2560/47500]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [2816/47500]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [3072/47500]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [3328/47500]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [3584/47500]	Loss: 0.0084	LR: 0.000800
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Training Epoch: 10 [46592/47500]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [46848/47500]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [47104/47500]	Loss: 0.0069	LR: 0.000800
Training Epoch: 10 [47360/47500]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [47500/47500]	Loss: 0.0104	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0113, Train Accuracy: 0.9998
Epoch 10 training time consumed: 18.53s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0026, Accuracy: 0.8237, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_59m_48s/ResNet18-Cifar10-seed7-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: 82.490234375
Retain Accuracy: 99.989501953125
Zero-Retain Forget (ZRF): 0.7749030590057373
Membership Inference Attack (MIA): 0.6228
Forget vs Retain Membership Inference Attack (MIA): 0.61
Forget vs Test Membership Inference Attack (MIA): 0.526
Test vs Retain Membership Inference Attack (MIA): 0.614
Train vs Test Membership Inference Attack (MIA): 0.633
Forget Set Accuracy (Df): 84.16294860839844
Method Execution Time: 1111.08 seconds
