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

📌 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
hello
hello
Epoch [0], last_lr: 0.02000, train_loss: 0.2231, val_loss: 0.3016, val_acc: 90.3125
Epoch [1], last_lr: 0.02000, train_loss: 0.2177, val_loss: 0.2913, val_acc: 90.3613
Epoch [2], last_lr: 0.02000, train_loss: 0.2139, val_loss: 0.2888, val_acc: 90.6250
Epoch [3], last_lr: 0.02000, train_loss: 0.2104, val_loss: 0.2953, val_acc: 90.6836
Epoch [4], last_lr: 0.02000, train_loss: 0.2014, val_loss: 0.3218, val_acc: 89.6973
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: 89.697265625
Retain Accuracy: 92.33291625976562
Zero-Retain Forget (ZRF): 0.8205243945121765
Membership Inference Attack (MIA): 0.6714
Forget vs Retain Membership Inference Attack (MIA): 0.52
Forget vs Test Membership Inference Attack (MIA): 0.5335
Test vs Retain Membership Inference Attack (MIA): 0.522
Train vs Test Membership Inference Attack (MIA): 0.5225
Forget Set Accuracy (Df): 91.15348815917969
Method Execution Time: 1070.44 seconds
