hello
hello

📌S Retain class distribution for seed 5:
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 5:
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
7
hello
hello
Epoch [0], last_lr: 0.02000, train_loss: 0.0399, val_loss: 0.0971, val_acc: 97.0898
Epoch [1], last_lr: 0.02000, train_loss: 0.0365, val_loss: 0.0919, val_acc: 97.1289
Epoch [2], last_lr: 0.02000, train_loss: 0.0349, val_loss: 0.1130, val_acc: 96.6797
Epoch [3], last_lr: 0.02000, train_loss: 0.0376, val_loss: 0.0998, val_acc: 96.9922
Epoch [4], last_lr: 0.02000, train_loss: 0.0350, val_loss: 0.1020, val_acc: 96.8945
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: 96.89453125
Retain Accuracy: 99.00035858154297
Zero-Retain Forget (ZRF): 0.7724721431732178
Membership Inference Attack (MIA): 0.8686
Forget vs Retain Membership Inference Attack (MIA): 0.513
Forget vs Test Membership Inference Attack (MIA): 0.493
Test vs Retain Membership Inference Attack (MIA): 0.5065
Train vs Test Membership Inference Attack (MIA): 0.51375
Forget Set Accuracy (Df): 98.16291809082031
Method Execution Time: 3980.12 seconds
