hello
hello

📌S Retain class distribution for seed 3:
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 3:
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: 0.6628, val_loss: 0.2215, val_acc: 95.6445
Epoch [1], last_lr: 0.00010, train_loss: 0.5816, val_loss: 0.1892, val_acc: 96.1621
Epoch [2], last_lr: 0.00010, train_loss: 0.5391, val_loss: 0.1855, val_acc: 96.1816
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: 96.181640625
Retain Accuracy: 98.03231811523438
Zero-Retain Forget (ZRF): 0.9448710680007935
Membership Inference Attack (MIA): 0.364
Forget vs Retain Membership Inference Attack (MIA): 0.6625
Forget vs Test Membership Inference Attack (MIA): 0.6095
Test vs Retain Membership Inference Attack (MIA): 0.50575
Train vs Test Membership Inference Attack (MIA): 0.52025
Forget Set Accuracy (Df): 93.15372467041016
Method Execution Time: 3525.07 seconds
