hello
hello

📌S Retain class distribution for seed 4:
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 4:
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: 0.2901, val_acc: 90.6836
Epoch [1], last_lr: 0.02000, train_loss: 0.2246, val_loss: 0.2949, val_acc: 90.2148
Epoch [2], last_lr: 0.02000, train_loss: 0.2135, val_loss: 0.3155, val_acc: 89.5996
Epoch [3], last_lr: 0.02000, train_loss: 0.2044, val_loss: 0.3089, val_acc: 89.8926
Epoch [4], last_lr: 0.02000, train_loss: 0.1998, val_loss: 0.3383, val_acc: 89.1016
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: 89.1015625
Retain Accuracy: 92.4128189086914
Zero-Retain Forget (ZRF): 0.8158729672431946
Membership Inference Attack (MIA): 0.3216
Forget vs Retain Membership Inference Attack (MIA): 0.5525
Forget vs Test Membership Inference Attack (MIA): 0.525
Test vs Retain Membership Inference Attack (MIA): 0.51
Train vs Test Membership Inference Attack (MIA): 0.52375
Forget Set Accuracy (Df): 89.41291809082031
Method Execution Time: 1073.29 seconds
