
📌S Retain class distribution for seed 4:
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 4:
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: 0.6454, val_loss: 0.1158, val_acc: 99.2480
Epoch [1], last_lr: 0.00010, train_loss: 0.6040, val_loss: 0.1285, val_acc: 99.2188
Epoch [2], last_lr: 0.00010, train_loss: 0.5932, val_loss: 0.1406, val_acc: 99.2578
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: 99.2578125
Retain Accuracy: 99.0649642944336
Zero-Retain Forget (ZRF): 0.9472569227218628
Membership Inference Attack (MIA): 0.46
Forget vs Retain Membership Inference Attack (MIA): 0.5470833333333334
Forget vs Test Membership Inference Attack (MIA): 0.5433333333333333
Test vs Retain Membership Inference Attack (MIA): 0.498
Train vs Test Membership Inference Attack (MIA): 0.504
Forget Set Accuracy (Df): 98.6351318359375
Method Execution Time: 685.49 seconds
