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

📌 S 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: 0.02000, train_loss: 0.2823, val_loss: 0.3440, val_acc: 88.3984
Epoch [1], last_lr: 0.02000, train_loss: 0.2792, val_loss: 0.3449, val_acc: 88.7012
Epoch [2], last_lr: 0.02000, train_loss: 0.2715, val_loss: 0.3570, val_acc: 88.3105
Epoch [3], last_lr: 0.02000, train_loss: 0.2631, val_loss: 0.3635, val_acc: 87.8320
Epoch [4], last_lr: 0.02000, train_loss: 0.2589, val_loss: 0.3337, val_acc: 89.0137
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: 89.013671875
Retain Accuracy: 91.43439483642578
Zero-Retain Forget (ZRF): 0.8378840684890747
Membership Inference Attack (MIA): 0.3802
Forget vs Retain Membership Inference Attack (MIA): 0.4945
Forget vs Test Membership Inference Attack (MIA): 0.5355
Test vs Retain Membership Inference Attack (MIA): 0.5225
Train vs Test Membership Inference Attack (MIA): 0.519
Forget Set Accuracy (Df): 89.53814697265625
Method Execution Time: 617.70 seconds
