hello
hello

📌S Retain class distribution for seed 7:
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 7:
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: 0.0423, val_loss: 0.0919, val_acc: 97.2461
Epoch [1], last_lr: 0.02000, train_loss: 0.0349, val_loss: 0.0977, val_acc: 97.2559
Epoch [2], last_lr: 0.02000, train_loss: 0.0316, val_loss: 0.1019, val_acc: 97.0020
Epoch [3], last_lr: 0.02000, train_loss: 0.0328, val_loss: 0.1004, val_acc: 97.0215
Epoch [4], last_lr: 0.02000, train_loss: 0.0356, val_loss: 0.1143, val_acc: 96.6406
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: 96.640625
Retain Accuracy: 98.47842407226562
Zero-Retain Forget (ZRF): 0.7771771550178528
Membership Inference Attack (MIA): 0.8268
Forget vs Retain Membership Inference Attack (MIA): 0.521
Forget vs Test Membership Inference Attack (MIA): 0.493
Test vs Retain Membership Inference Attack (MIA): 0.537
Train vs Test Membership Inference Attack (MIA): 0.516
Forget Set Accuracy (Df): 97.68497467041016
Method Execution Time: 3947.11 seconds
