
📌S Retain class distribution for seed 2:
Class 0: 5323
Class 1: 6142
Class 2: 5358
Class 3: 5531
Class 4: 5242
Class 5: 4821
Class 6: 5318
Class 7: 5665
Class 8: 5251
Class 9: 5349

📌S Forget class distribution for seed 2:
Class 0: 600
Class 1: 600
Class 2: 600
Class 3: 600
Class 4: 600
Class 5: 600
Class 6: 600
Class 7: 600
Class 8: 600
Class 9: 600
79
Epoch [0], last_lr: 0.00010, train_loss: 0.6422, val_loss: 0.1943, val_acc: 99.2676
Epoch [1], last_lr: 0.00010, train_loss: 0.6033, val_loss: 0.1380, val_acc: 99.2969
Epoch [2], last_lr: 0.00010, train_loss: 0.5905, val_loss: 0.1668, val_acc: 99.4141
Valid (Test) Dl:  10000
Train Dl:  60000
Retain Train Dl:  54000
Forget Train Dl:  6000
Retain Valid Dl:  54000
Forget Valid Dl:  6000
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 6000 samples
Set1 Distribution: 6000 samples
Set2 Distribution: 6000 samples
Set1 Distribution: 6000 samples
Set2 Distribution: 6000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 99.4140625
Retain Accuracy: 99.20740509033203
Zero-Retain Forget (ZRF): 0.952393114566803
Membership Inference Attack (MIA): 0.4156666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.6241666666666666
Forget vs Test Membership Inference Attack (MIA): 0.54
Test vs Retain Membership Inference Attack (MIA): 0.6115
Train vs Test Membership Inference Attack (MIA): 0.5035
Forget Set Accuracy (Df): 98.85836029052734
Method Execution Time: 684.89 seconds
