hello
hello

📌S Retain class distribution for seed 4:
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 4:
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: 0.8012, val_loss: 0.3754, val_acc: 90.6543
Epoch [1], last_lr: 0.00010, train_loss: 0.6649, val_loss: 0.3806, val_acc: 89.8535
Epoch [2], last_lr: 0.00010, train_loss: 0.5363, val_loss: 0.3968, val_acc: 89.1113
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: 89.111328125
Retain Accuracy: 92.09162139892578
Zero-Retain Forget (ZRF): 0.9422268867492676
Membership Inference Attack (MIA): 0.48
Forget vs Retain Membership Inference Attack (MIA): 0.6105
Forget vs Test Membership Inference Attack (MIA): 0.5395
Test vs Retain Membership Inference Attack (MIA): 0.5645
Train vs Test Membership Inference Attack (MIA): 0.5275
Forget Set Accuracy (Df): 88.03768157958984
Method Execution Time: 1023.24 seconds
