hello
hello

📌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
7
hello
hello
Epoch [0], last_lr: 0.00010, train_loss: 0.6625, val_loss: 0.2000, val_acc: 96.3574
Epoch [1], last_lr: 0.00010, train_loss: 0.5859, val_loss: 0.2266, val_acc: 95.5371
Epoch [2], last_lr: 0.00010, train_loss: 0.5375, val_loss: 0.1969, val_acc: 95.9473
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  45000
Forget Train Dl:  5000
Retain Valid Dl:  45000
Forget Valid Dl:  5000
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 95.947265625
Retain Accuracy: 97.6731185913086
Zero-Retain Forget (ZRF): 0.9431872963905334
Membership Inference Attack (MIA): 0.4882
Forget vs Retain Membership Inference Attack (MIA): 0.5375
Forget vs Test Membership Inference Attack (MIA): 0.6015
Test vs Retain Membership Inference Attack (MIA): 0.63875
Train vs Test Membership Inference Attack (MIA): 0.51075
Forget Set Accuracy (Df): 92.1702651977539
Method Execution Time: 3551.17 seconds
