hello
hello

📌S Retain class distribution for seed 1:
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 1:
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: 0.0405, val_loss: 0.0857, val_acc: 97.3633
Epoch [1], last_lr: 0.02000, train_loss: 0.0392, val_loss: 0.0950, val_acc: 97.0801
Epoch [2], last_lr: 0.02000, train_loss: 0.0324, val_loss: 0.1172, val_acc: 96.7188
Epoch [3], last_lr: 0.02000, train_loss: 0.0295, val_loss: 0.0954, val_acc: 97.1094
Epoch [4], last_lr: 0.02000, train_loss: 0.0360, val_loss: 0.0952, val_acc: 97.0117
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: 97.01171875
Retain Accuracy: 99.01207733154297
Zero-Retain Forget (ZRF): 0.7659600377082825
Membership Inference Attack (MIA): 0.8582
Forget vs Retain Membership Inference Attack (MIA): 0.5115
Forget vs Test Membership Inference Attack (MIA): 0.5
Test vs Retain Membership Inference Attack (MIA): 0.50825
Train vs Test Membership Inference Attack (MIA): 0.5225
Forget Set Accuracy (Df): 97.91705322265625
Method Execution Time: 3979.31 seconds
