hello
hello
Labels

📌S Retain class distribution for seed 1:
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 1:
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: 2.4117	LR: 0.000000
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Training Epoch: 1 [42496/47500]	Loss: 1.3854	LR: 0.088710
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Training Epoch: 1 [44288/47500]	Loss: 1.3057	LR: 0.092473
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Training Epoch: 1 [44800/47500]	Loss: 1.1735	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.2170	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.0784	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.2766	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.0331	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.2058	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.1333	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.1097	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.1815	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.1967	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.1383	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.0888	LR: 0.099462
Epoch 1 - Average Train Loss: 1.5231, Train Accuracy: 0.4464
Epoch 1 training time consumed: 19.24s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0057, Accuracy: 0.5240, Time consumed:1.11s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_05m_34s/ResNet18-Cifar10-seed1-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.1988	LR: 0.020000
Training Epoch: 2 [512/47500]	Loss: 1.0478	LR: 0.020000
Training Epoch: 2 [768/47500]	Loss: 1.0242	LR: 0.020000
Training Epoch: 2 [1024/47500]	Loss: 1.0318	LR: 0.020000
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Training Epoch: 2 [1536/47500]	Loss: 1.0682	LR: 0.020000
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Training Epoch: 2 [47500/47500]	Loss: 0.5621	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7920, Train Accuracy: 0.7163
Epoch 2 training time consumed: 18.65s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0033, Accuracy: 0.7141, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_05m_34s/ResNet18-Cifar10-seed1-ret50-2-best.pth
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Training Epoch: 3 [47104/47500]	Loss: 0.5665	LR: 0.020000
Training Epoch: 3 [47360/47500]	Loss: 0.6466	LR: 0.020000
Training Epoch: 3 [47500/47500]	Loss: 0.4984	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5889, Train Accuracy: 0.7924
Epoch 3 training time consumed: 18.68s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0029, Accuracy: 0.7510, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_05m_34s/ResNet18-Cifar10-seed1-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.4423	LR: 0.020000
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Training Epoch: 4 [47500/47500]	Loss: 0.4447	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4544, Train Accuracy: 0.8408
Epoch 4 training time consumed: 18.52s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0031, Accuracy: 0.7430, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_05m_34s/ResNet18-Cifar10-seed1-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 0.3084	LR: 0.004000
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Training Epoch: 5 [43776/47500]	Loss: 0.2016	LR: 0.004000
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Training Epoch: 5 [45312/47500]	Loss: 0.1923	LR: 0.004000
Training Epoch: 5 [45568/47500]	Loss: 0.1392	LR: 0.004000
Training Epoch: 5 [45824/47500]	Loss: 0.2320	LR: 0.004000
Training Epoch: 5 [46080/47500]	Loss: 0.1703	LR: 0.004000
Training Epoch: 5 [46336/47500]	Loss: 0.2420	LR: 0.004000
Training Epoch: 5 [46592/47500]	Loss: 0.1841	LR: 0.004000
Training Epoch: 5 [46848/47500]	Loss: 0.1719	LR: 0.004000
Training Epoch: 5 [47104/47500]	Loss: 0.1499	LR: 0.004000
Training Epoch: 5 [47360/47500]	Loss: 0.1840	LR: 0.004000
Training Epoch: 5 [47500/47500]	Loss: 0.1364	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2138, Train Accuracy: 0.9320
Epoch 5 training time consumed: 18.56s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8201, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_05m_34s/ResNet18-Cifar10-seed1-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.1018	LR: 0.004000
Training Epoch: 6 [512/47500]	Loss: 0.1468	LR: 0.004000
Training Epoch: 6 [768/47500]	Loss: 0.1281	LR: 0.004000
Training Epoch: 6 [1024/47500]	Loss: 0.1253	LR: 0.004000
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Training Epoch: 6 [1536/47500]	Loss: 0.1146	LR: 0.004000
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Training Epoch: 6 [44032/47500]	Loss: 0.1013	LR: 0.004000
Training Epoch: 6 [44288/47500]	Loss: 0.1261	LR: 0.004000
Training Epoch: 6 [44544/47500]	Loss: 0.1152	LR: 0.004000
Training Epoch: 6 [44800/47500]	Loss: 0.1112	LR: 0.004000
Training Epoch: 6 [45056/47500]	Loss: 0.1056	LR: 0.004000
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Training Epoch: 6 [45824/47500]	Loss: 0.1184	LR: 0.004000
Training Epoch: 6 [46080/47500]	Loss: 0.1010	LR: 0.004000
Training Epoch: 6 [46336/47500]	Loss: 0.1404	LR: 0.004000
Training Epoch: 6 [46592/47500]	Loss: 0.1045	LR: 0.004000
Training Epoch: 6 [46848/47500]	Loss: 0.1208	LR: 0.004000
Training Epoch: 6 [47104/47500]	Loss: 0.1316	LR: 0.004000
Training Epoch: 6 [47360/47500]	Loss: 0.1346	LR: 0.004000
Training Epoch: 6 [47500/47500]	Loss: 0.1410	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1194, Train Accuracy: 0.9659
Epoch 6 training time consumed: 18.80s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0025, Accuracy: 0.8144, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_05m_34s/ResNet18-Cifar10-seed1-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.0756	LR: 0.004000
Training Epoch: 7 [512/47500]	Loss: 0.0718	LR: 0.004000
Training Epoch: 7 [768/47500]	Loss: 0.0725	LR: 0.004000
Training Epoch: 7 [1024/47500]	Loss: 0.0554	LR: 0.004000
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Training Epoch: 7 [47360/47500]	Loss: 0.0907	LR: 0.004000
Training Epoch: 7 [47500/47500]	Loss: 0.0563	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0592, Train Accuracy: 0.9880
Epoch 7 training time consumed: 18.57s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.8172, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_05m_34s/ResNet18-Cifar10-seed1-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.0351	LR: 0.004000
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Training Epoch: 8 [768/47500]	Loss: 0.0490	LR: 0.004000
Training Epoch: 8 [1024/47500]	Loss: 0.0380	LR: 0.004000
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Training Epoch: 8 [1536/47500]	Loss: 0.0490	LR: 0.004000
Training Epoch: 8 [1792/47500]	Loss: 0.0448	LR: 0.004000
Training Epoch: 8 [2048/47500]	Loss: 0.0343	LR: 0.004000
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Training Epoch: 8 [26368/47500]	Loss: 0.0390	LR: 0.004000
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Training Epoch: 8 [43520/47500]	Loss: 0.0177	LR: 0.004000
Training Epoch: 8 [43776/47500]	Loss: 0.0142	LR: 0.004000
Training Epoch: 8 [44032/47500]	Loss: 0.0151	LR: 0.004000
Training Epoch: 8 [44288/47500]	Loss: 0.0325	LR: 0.004000
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Training Epoch: 8 [44800/47500]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [45056/47500]	Loss: 0.0210	LR: 0.004000
Training Epoch: 8 [45312/47500]	Loss: 0.0263	LR: 0.004000
Training Epoch: 8 [45568/47500]	Loss: 0.0304	LR: 0.004000
Training Epoch: 8 [45824/47500]	Loss: 0.0259	LR: 0.004000
Training Epoch: 8 [46080/47500]	Loss: 0.0160	LR: 0.004000
Training Epoch: 8 [46336/47500]	Loss: 0.0243	LR: 0.004000
Training Epoch: 8 [46592/47500]	Loss: 0.0232	LR: 0.004000
Training Epoch: 8 [46848/47500]	Loss: 0.0390	LR: 0.004000
Training Epoch: 8 [47104/47500]	Loss: 0.0215	LR: 0.004000
Training Epoch: 8 [47360/47500]	Loss: 0.0261	LR: 0.004000
Training Epoch: 8 [47500/47500]	Loss: 0.0210	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0260, Train Accuracy: 0.9976
Epoch 8 training time consumed: 18.58s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0028, Accuracy: 0.8143, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_05m_34s/ResNet18-Cifar10-seed1-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [512/47500]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [768/47500]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [1024/47500]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [1280/47500]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [1536/47500]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [1792/47500]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [2048/47500]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [2304/47500]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [2560/47500]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [2816/47500]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [3072/47500]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [3328/47500]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [3584/47500]	Loss: 0.0172	LR: 0.000800
Training Epoch: 9 [3840/47500]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [4096/47500]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 9 [4608/47500]	Loss: 0.0160	LR: 0.000800
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Training Epoch: 9 [30208/47500]	Loss: 0.0094	LR: 0.000800
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Training Epoch: 9 [33280/47500]	Loss: 0.0094	LR: 0.000800
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Training Epoch: 9 [40192/47500]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [40448/47500]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [40704/47500]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [40960/47500]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [41216/47500]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 9 [41728/47500]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [41984/47500]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [42240/47500]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [42496/47500]	Loss: 0.0141	LR: 0.000800
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Training Epoch: 9 [43520/47500]	Loss: 0.0228	LR: 0.000800
Training Epoch: 9 [43776/47500]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [44032/47500]	Loss: 0.0189	LR: 0.000800
Training Epoch: 9 [44288/47500]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [44544/47500]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [44800/47500]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [45056/47500]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [45312/47500]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [45568/47500]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [45824/47500]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [46080/47500]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [46336/47500]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [46592/47500]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [46848/47500]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [47104/47500]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [47360/47500]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [47500/47500]	Loss: 0.0117	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0119, Train Accuracy: 0.9997
Epoch 9 training time consumed: 18.65s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8267, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_05m_34s/ResNet18-Cifar10-seed1-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [512/47500]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [768/47500]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [1024/47500]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [1280/47500]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [1536/47500]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [1792/47500]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [2048/47500]	Loss: 0.0149	LR: 0.000800
Training Epoch: 10 [2304/47500]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [2560/47500]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [2816/47500]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [3072/47500]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [3328/47500]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [3584/47500]	Loss: 0.0085	LR: 0.000800
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Training Epoch: 10 [45568/47500]	Loss: 0.0073	LR: 0.000800
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Training Epoch: 10 [46336/47500]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [46592/47500]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [46848/47500]	Loss: 0.0071	LR: 0.000800
Training Epoch: 10 [47104/47500]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [47360/47500]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [47500/47500]	Loss: 0.0092	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0098, Train Accuracy: 0.9999
Epoch 10 training time consumed: 18.48s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0026, Accuracy: 0.8262, Time consumed:1.06s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_16h_05m_34s/ResNet18-Cifar10-seed1-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: 82.44140625
Retain Accuracy: 99.9916000366211
Zero-Retain Forget (ZRF): 0.7765058875083923
Membership Inference Attack (MIA): 0.618
Forget vs Retain Membership Inference Attack (MIA): 0.625
Forget vs Test Membership Inference Attack (MIA): 0.486
Test vs Retain Membership Inference Attack (MIA): 0.6235
Train vs Test Membership Inference Attack (MIA): 0.63
Forget Set Accuracy (Df): 82.56138610839844
Method Execution Time: 1122.05 seconds
