hello
hello

📌S Retain class distribution for seed 8:
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 8:
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: 0.2225, val_loss: 0.2926, val_acc: 90.3906
Epoch [1], last_lr: 0.02000, train_loss: 0.2238, val_loss: 0.3357, val_acc: 89.0918
Epoch [2], last_lr: 0.02000, train_loss: 0.2105, val_loss: 0.3120, val_acc: 89.7852
Epoch [3], last_lr: 0.02000, train_loss: 0.2053, val_loss: 0.2997, val_acc: 90.9180
Epoch [4], last_lr: 0.02000, train_loss: 0.2036, val_loss: 0.2964, val_acc: 90.3223
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: 90.322265625
Retain Accuracy: 93.39950561523438
Zero-Retain Forget (ZRF): 0.8273301124572754
Membership Inference Attack (MIA): 0.6648
Forget vs Retain Membership Inference Attack (MIA): 0.5235
Forget vs Test Membership Inference Attack (MIA): 0.537
Test vs Retain Membership Inference Attack (MIA): 0.50625
Train vs Test Membership Inference Attack (MIA): 0.528
Forget Set Accuracy (Df): 90.23323059082031
Method Execution Time: 1066.23 seconds
