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: 0.02000, train_loss: 0.2239, val_loss: 0.3103, val_acc: 89.8828
Epoch [1], last_lr: 0.02000, train_loss: 0.2207, val_loss: 0.2982, val_acc: 90.1660
Epoch [2], last_lr: 0.02000, train_loss: 0.2110, val_loss: 0.3446, val_acc: 89.1211
Epoch [3], last_lr: 0.02000, train_loss: 0.2057, val_loss: 0.3163, val_acc: 89.9414
Epoch [4], last_lr: 0.02000, train_loss: 0.2026, val_loss: 0.3012, val_acc: 90.3320
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: 90.33203125
Retain Accuracy: 93.36337280273438
Zero-Retain Forget (ZRF): 0.8209076523780823
Membership Inference Attack (MIA): 0.6644
Forget vs Retain Membership Inference Attack (MIA): 0.512
Forget vs Test Membership Inference Attack (MIA): 0.53
Test vs Retain Membership Inference Attack (MIA): 0.4935
Train vs Test Membership Inference Attack (MIA): 0.521
Forget Set Accuracy (Df): 91.58892822265625
Method Execution Time: 1057.48 seconds
