
📌S Retain class distribution for seed 2:
Class 0: 5323
Class 1: 6142
Class 2: 5358
Class 3: 5531
Class 4: 5242
Class 5: 4821
Class 6: 5318
Class 7: 5665
Class 8: 5251
Class 9: 5349

📌S Forget class distribution for seed 2:
Class 0: 600
Class 1: 600
Class 2: 600
Class 3: 600
Class 4: 600
Class 5: 600
Class 6: 600
Class 7: 600
Class 8: 600
Class 9: 600
79
Epoch [0], last_lr: 0.02000, train_loss: 0.0288, val_loss: 0.0197, val_acc: 99.3359
Epoch [1], last_lr: 0.02000, train_loss: 0.0250, val_loss: 0.0244, val_acc: 99.3262
Epoch [2], last_lr: 0.02000, train_loss: 0.0224, val_loss: 0.0217, val_acc: 99.3555
Epoch [3], last_lr: 0.02000, train_loss: 0.0198, val_loss: 0.0198, val_acc: 99.3750
Epoch [4], last_lr: 0.02000, train_loss: 0.0194, val_loss: 0.0193, val_acc: 99.5508
Valid (Test) Dl:  10000
Train Dl:  60000
Retain Train Dl:  54000
Forget Train Dl:  6000
Retain Valid Dl:  54000
Forget Valid Dl:  6000
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 6000 samples
Set1 Distribution: 6000 samples
Set2 Distribution: 6000 samples
Set1 Distribution: 6000 samples
Set2 Distribution: 6000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 99.55078125
Retain Accuracy: 99.46089935302734
Zero-Retain Forget (ZRF): 0.8010416030883789
Membership Inference Attack (MIA): 0.1625
Forget vs Retain Membership Inference Attack (MIA): 0.6441666666666667
Forget vs Test Membership Inference Attack (MIA): 0.5208333333333334
Test vs Retain Membership Inference Attack (MIA): 0.5945
Train vs Test Membership Inference Attack (MIA): 0.49875
Forget Set Accuracy (Df): 99.10713958740234
Method Execution Time: 796.19 seconds
