hello
hello
Labels

📌S Retain class distribution for seed 9:
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 9:
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: 2.5426	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.4863	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.5006	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.4279	LR: 0.001613
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Training Epoch: 1 [44800/47500]	Loss: 1.2282	LR: 0.093548
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Training Epoch: 1 [45312/47500]	Loss: 1.3733	LR: 0.094624
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Training Epoch: 1 [45824/47500]	Loss: 1.1721	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.1268	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.2865	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.2804	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.1454	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.3231	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.1067	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 0.9939	LR: 0.099462
Epoch 1 - Average Train Loss: 1.4923, Train Accuracy: 0.4613
Epoch 1 training time consumed: 18.69s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0074, Accuracy: 0.4595, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_18h_08m_57s/ResNet18-Cifar10-seed9-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: 45.751953125
Retain Accuracy: 46.4480094909668
Zero-Retain Forget (ZRF): 0.9006712436676025
Membership Inference Attack (MIA): 0.4116
Forget vs Retain Membership Inference Attack (MIA): 0.563
Forget vs Test Membership Inference Attack (MIA): 0.502
Test vs Retain Membership Inference Attack (MIA): 0.61975
Train vs Test Membership Inference Attack (MIA): 0.494
Forget Set Accuracy (Df): 44.107940673828125
Method Execution Time: 910.37 seconds
