hello
hello
Labels

📌S Retain class distribution for seed 5:
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 5:
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: 2.3636	LR: 0.000000
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Training Epoch: 1 [44800/47500]	Loss: 1.2884	LR: 0.093548
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Training Epoch: 1 [45312/47500]	Loss: 1.1839	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.1912	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.2866	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.2525	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.1427	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.2621	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.2225	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.2056	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.0746	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.3151	LR: 0.099462
Epoch 1 - Average Train Loss: 1.5492, Train Accuracy: 0.4385
Epoch 1 training time consumed: 18.85s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0074, Accuracy: 0.4440, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_21m_42s/ResNet18-Cifar10-seed5-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.3373	LR: 0.020000
Training Epoch: 2 [512/47500]	Loss: 1.2095	LR: 0.020000
Training Epoch: 2 [768/47500]	Loss: 1.1139	LR: 0.020000
Training Epoch: 2 [1024/47500]	Loss: 1.0131	LR: 0.020000
Training Epoch: 2 [1280/47500]	Loss: 0.9372	LR: 0.020000
Training Epoch: 2 [1536/47500]	Loss: 1.0915	LR: 0.020000
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Training Epoch: 2 [47500/47500]	Loss: 0.6710	LR: 0.020000
Epoch 2 - Average Train Loss: 0.8194, Train Accuracy: 0.7097
Epoch 2 training time consumed: 18.49s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0031, Accuracy: 0.7240, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_21m_42s/ResNet18-Cifar10-seed5-ret50-2-best.pth
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Training Epoch: 3 [47104/47500]	Loss: 0.5650	LR: 0.020000
Training Epoch: 3 [47360/47500]	Loss: 0.5382	LR: 0.020000
Training Epoch: 3 [47500/47500]	Loss: 0.7445	LR: 0.020000
Epoch 3 - Average Train Loss: 0.6199, Train Accuracy: 0.7795
Epoch 3 training time consumed: 18.53s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0029, Accuracy: 0.7521, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_21m_42s/ResNet18-Cifar10-seed5-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.4697	LR: 0.020000
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Training Epoch: 4 [47500/47500]	Loss: 0.5885	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4852, Train Accuracy: 0.8286
Epoch 4 training time consumed: 18.59s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0026, Accuracy: 0.7801, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_21m_42s/ResNet18-Cifar10-seed5-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 0.3482	LR: 0.004000
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Training Epoch: 5 [45824/47500]	Loss: 0.2153	LR: 0.004000
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Training Epoch: 5 [46336/47500]	Loss: 0.1827	LR: 0.004000
Training Epoch: 5 [46592/47500]	Loss: 0.1893	LR: 0.004000
Training Epoch: 5 [46848/47500]	Loss: 0.2548	LR: 0.004000
Training Epoch: 5 [47104/47500]	Loss: 0.1700	LR: 0.004000
Training Epoch: 5 [47360/47500]	Loss: 0.2125	LR: 0.004000
Training Epoch: 5 [47500/47500]	Loss: 0.1352	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2455, Train Accuracy: 0.9211
Epoch 5 training time consumed: 18.68s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8167, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_21m_42s/ResNet18-Cifar10-seed5-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.1667	LR: 0.004000
Training Epoch: 6 [512/47500]	Loss: 0.1780	LR: 0.004000
Training Epoch: 6 [768/47500]	Loss: 0.1221	LR: 0.004000
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Training Epoch: 6 [45056/47500]	Loss: 0.1454	LR: 0.004000
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Training Epoch: 6 [46336/47500]	Loss: 0.1801	LR: 0.004000
Training Epoch: 6 [46592/47500]	Loss: 0.1447	LR: 0.004000
Training Epoch: 6 [46848/47500]	Loss: 0.1972	LR: 0.004000
Training Epoch: 6 [47104/47500]	Loss: 0.1527	LR: 0.004000
Training Epoch: 6 [47360/47500]	Loss: 0.1334	LR: 0.004000
Training Epoch: 6 [47500/47500]	Loss: 0.1320	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1516, Train Accuracy: 0.9534
Epoch 6 training time consumed: 18.54s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0025, Accuracy: 0.8112, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_21m_42s/ResNet18-Cifar10-seed5-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.0902	LR: 0.004000
Training Epoch: 7 [512/47500]	Loss: 0.1095	LR: 0.004000
Training Epoch: 7 [768/47500]	Loss: 0.0796	LR: 0.004000
Training Epoch: 7 [1024/47500]	Loss: 0.0700	LR: 0.004000
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Training Epoch: 7 [47500/47500]	Loss: 0.1242	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0824, Train Accuracy: 0.9799
Epoch 7 training time consumed: 18.48s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.8041, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_21m_42s/ResNet18-Cifar10-seed5-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.0447	LR: 0.004000
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Training Epoch: 8 [1536/47500]	Loss: 0.0418	LR: 0.004000
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Training Epoch: 8 [43520/47500]	Loss: 0.0354	LR: 0.004000
Training Epoch: 8 [43776/47500]	Loss: 0.0420	LR: 0.004000
Training Epoch: 8 [44032/47500]	Loss: 0.0419	LR: 0.004000
Training Epoch: 8 [44288/47500]	Loss: 0.0334	LR: 0.004000
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Training Epoch: 8 [45056/47500]	Loss: 0.0316	LR: 0.004000
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Training Epoch: 8 [45568/47500]	Loss: 0.0418	LR: 0.004000
Training Epoch: 8 [45824/47500]	Loss: 0.0496	LR: 0.004000
Training Epoch: 8 [46080/47500]	Loss: 0.0326	LR: 0.004000
Training Epoch: 8 [46336/47500]	Loss: 0.0325	LR: 0.004000
Training Epoch: 8 [46592/47500]	Loss: 0.0364	LR: 0.004000
Training Epoch: 8 [46848/47500]	Loss: 0.0290	LR: 0.004000
Training Epoch: 8 [47104/47500]	Loss: 0.0262	LR: 0.004000
Training Epoch: 8 [47360/47500]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [47500/47500]	Loss: 0.0627	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0385, Train Accuracy: 0.9944
Epoch 8 training time consumed: 18.64s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.8154, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_21m_42s/ResNet18-Cifar10-seed5-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.0166	LR: 0.000800
Training Epoch: 9 [512/47500]	Loss: 0.0198	LR: 0.000800
Training Epoch: 9 [768/47500]	Loss: 0.0231	LR: 0.000800
Training Epoch: 9 [1024/47500]	Loss: 0.0218	LR: 0.000800
Training Epoch: 9 [1280/47500]	Loss: 0.0189	LR: 0.000800
Training Epoch: 9 [1536/47500]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [1792/47500]	Loss: 0.0187	LR: 0.000800
Training Epoch: 9 [2048/47500]	Loss: 0.0269	LR: 0.000800
Training Epoch: 9 [2304/47500]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [2560/47500]	Loss: 0.0258	LR: 0.000800
Training Epoch: 9 [2816/47500]	Loss: 0.0253	LR: 0.000800
Training Epoch: 9 [3072/47500]	Loss: 0.0168	LR: 0.000800
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Training Epoch: 9 [3584/47500]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [3840/47500]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [4096/47500]	Loss: 0.0128	LR: 0.000800
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Training Epoch: 9 [29440/47500]	Loss: 0.0140	LR: 0.000800
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Training Epoch: 9 [36096/47500]	Loss: 0.0144	LR: 0.000800
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Training Epoch: 9 [44288/47500]	Loss: 0.0129	LR: 0.000800
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Training Epoch: 9 [44800/47500]	Loss: 0.0156	LR: 0.000800
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Training Epoch: 9 [45568/47500]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [45824/47500]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [46080/47500]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [46336/47500]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [46592/47500]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [46848/47500]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [47104/47500]	Loss: 0.0182	LR: 0.000800
Training Epoch: 9 [47360/47500]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [47500/47500]	Loss: 0.0315	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0158, Train Accuracy: 0.9994
Epoch 9 training time consumed: 18.62s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8223, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_21m_42s/ResNet18-Cifar10-seed5-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [512/47500]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [768/47500]	Loss: 0.0139	LR: 0.000800
Training Epoch: 10 [1024/47500]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [1280/47500]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [1536/47500]	Loss: 0.0161	LR: 0.000800
Training Epoch: 10 [1792/47500]	Loss: 0.0137	LR: 0.000800
Training Epoch: 10 [2048/47500]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [2304/47500]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [2560/47500]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [2816/47500]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [3072/47500]	Loss: 0.0140	LR: 0.000800
Training Epoch: 10 [3328/47500]	Loss: 0.0139	LR: 0.000800
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Training Epoch: 10 [47500/47500]	Loss: 0.0124	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0127, Train Accuracy: 0.9997
Epoch 10 training time consumed: 18.58s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0026, Accuracy: 0.8206, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_21m_42s/ResNet18-Cifar10-seed5-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: 82.1875
Retain Accuracy: 99.989501953125
Zero-Retain Forget (ZRF): 0.7677244544029236
Membership Inference Attack (MIA): 0.6332
Forget vs Retain Membership Inference Attack (MIA): 0.582
Forget vs Test Membership Inference Attack (MIA): 0.501
Test vs Retain Membership Inference Attack (MIA): 0.61425
Train vs Test Membership Inference Attack (MIA): 0.62825
Forget Set Accuracy (Df): 83.7962417602539
Method Execution Time: 1115.18 seconds
