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

📌S 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
79
hello
hello
Epoch [0], last_lr: 0.00010, train_loss: 0.6653, val_loss: 0.1876, val_acc: 96.3574
Epoch [1], last_lr: 0.00010, train_loss: 0.5845, val_loss: 0.2235, val_acc: 94.9121
Epoch [2], last_lr: 0.00010, train_loss: 0.5395, val_loss: 0.2315, val_acc: 95.6641
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: 95.6640625
Retain Accuracy: 96.78728485107422
Zero-Retain Forget (ZRF): 0.9494733214378357
Membership Inference Attack (MIA): 0.3012
Forget vs Retain Membership Inference Attack (MIA): 0.7295
Forget vs Test Membership Inference Attack (MIA): 0.6045
Test vs Retain Membership Inference Attack (MIA): 0.58925
Train vs Test Membership Inference Attack (MIA): 0.5115
Forget Set Accuracy (Df): 91.61075592041016
Method Execution Time: 3539.64 seconds
