
📌S Retain class distribution for seed 3:
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 3:
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: 0.0272, val_loss: 0.0268, val_acc: 99.2285
Epoch [1], last_lr: 0.02000, train_loss: 0.0240, val_loss: 0.0189, val_acc: 99.4336
Epoch [2], last_lr: 0.02000, train_loss: 0.0219, val_loss: 0.0229, val_acc: 99.3359
Epoch [3], last_lr: 0.02000, train_loss: 0.0213, val_loss: 0.0239, val_acc: 99.3359
Epoch [4], last_lr: 0.02000, train_loss: 0.0198, val_loss: 0.0180, val_acc: 99.4434
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: 99.443359375
Retain Accuracy: 99.50001525878906
Zero-Retain Forget (ZRF): 0.80545574426651
Membership Inference Attack (MIA): 0.18666666666666668
Forget vs Retain Membership Inference Attack (MIA): 0.4979166666666667
Forget vs Test Membership Inference Attack (MIA): 0.5195833333333333
Test vs Retain Membership Inference Attack (MIA): 0.50125
Train vs Test Membership Inference Attack (MIA): 0.49075
Forget Set Accuracy (Df): 99.19317626953125
Method Execution Time: 793.00 seconds
