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
78090990

📊 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
Training Epoch: 1 [512/47500]	Loss: 2.3490	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3846	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3683	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3247	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2826	LR: 0.002688
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Training Epoch: 1 [2048/47500]	Loss: 2.1668	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2003	LR: 0.004301
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Training Epoch: 1 [2816/47500]	Loss: 2.0625	LR: 0.005376
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Training Epoch: 1 [3328/47500]	Loss: 1.9481	LR: 0.006452
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Training Epoch: 1 [30720/47500]	Loss: 1.4066	LR: 0.063978
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Training Epoch: 1 [37376/47500]	Loss: 1.2079	LR: 0.077957
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Training Epoch: 1 [44288/47500]	Loss: 1.2232	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.1782	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.3511	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.3442	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.2032	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.1760	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.2720	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.2109	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.2009	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.1883	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.2907	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.2425	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.0358	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.1841	LR: 0.099462
Epoch 1 - Average Train Loss: 1.5388, Train Accuracy: 0.4447
Epoch 1 training time consumed: 18.74s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0098, Accuracy: 0.4092, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_07m_11s/ResNet18-Cifar10-seed5-ret50-1-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: 40.546875
Retain Accuracy: 41.428810119628906
Zero-Retain Forget (ZRF): 0.8760620951652527
Membership Inference Attack (MIA): 0.4612
Forget vs Retain Membership Inference Attack (MIA): 0.587
Forget vs Test Membership Inference Attack (MIA): 0.524
Test vs Retain Membership Inference Attack (MIA): 0.6045
Train vs Test Membership Inference Attack (MIA): 0.50625
Forget Set Accuracy (Df): 41.59438705444336
Method Execution Time: 920.27 seconds
