hello
hello
Labels

📌S Retain class distribution for seed 6:
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 6:
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: 2.3595	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3820	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3074	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3445	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.2990	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2532	LR: 0.002688
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Training Epoch: 1 [44288/47500]	Loss: 1.1648	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.3562	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.2606	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.2773	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.2404	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.2874	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.0991	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.2939	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.3244	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 0.9756	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3047	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.2788	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.0722	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.0661	LR: 0.099462
Epoch 1 - Average Train Loss: 1.5497, Train Accuracy: 0.4383
Epoch 1 training time consumed: 18.55s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0068, Accuracy: 0.5124, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_17h_22m_49s/ResNet18-Cifar10-seed6-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: 51.2109375
Retain Accuracy: 52.01438522338867
Zero-Retain Forget (ZRF): 0.8763931393623352
Membership Inference Attack (MIA): 0.4848
Forget vs Retain Membership Inference Attack (MIA): 0.598
Forget vs Test Membership Inference Attack (MIA): 0.527
Test vs Retain Membership Inference Attack (MIA): 0.53925
Train vs Test Membership Inference Attack (MIA): 0.49875
Forget Set Accuracy (Df): 52.22735595703125
Method Execution Time: 903.25 seconds
