hello
hello

📌S Retain class distribution for seed 10:
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

📌 Forget class distribution for seed 10:
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
hello
hello
Epoch [0], last_lr: 0.00010, train_loss: 0.8056, val_loss: 0.3884, val_acc: 90.2051
Epoch [1], last_lr: 0.00010, train_loss: 0.6682, val_loss: 0.3777, val_acc: 89.5215
Epoch [2], last_lr: 0.00010, train_loss: 0.5381, val_loss: 0.4199, val_acc: 88.2422
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: 88.2421875
Retain Accuracy: 91.55779266357422
Zero-Retain Forget (ZRF): 0.9398168325424194
Membership Inference Attack (MIA): 0.5282
Forget vs Retain Membership Inference Attack (MIA): 0.544
Forget vs Test Membership Inference Attack (MIA): 0.524
Test vs Retain Membership Inference Attack (MIA): 0.52975
Train vs Test Membership Inference Attack (MIA): 0.52525
Forget Set Accuracy (Df): 87.08639526367188
Method Execution Time: 1015.93 seconds
