
📌S Retain class distribution for seed 10:
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 10:
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: 0.0265, val_loss: 0.0184, val_acc: 99.5117
Epoch [1], last_lr: 0.02000, train_loss: 0.0251, val_loss: 0.0225, val_acc: 99.3652
Epoch [2], last_lr: 0.02000, train_loss: 0.0229, val_loss: 0.0203, val_acc: 99.4434
Epoch [3], last_lr: 0.02000, train_loss: 0.0223, val_loss: 0.0191, val_acc: 99.4141
Epoch [4], last_lr: 0.02000, train_loss: 0.0204, val_loss: 0.0205, val_acc: 99.3457
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: 99.345703125
Retain Accuracy: 99.22417449951172
Zero-Retain Forget (ZRF): 0.8047263622283936
Membership Inference Attack (MIA): 0.8216666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.5283333333333333
Forget vs Test Membership Inference Attack (MIA): 0.52625
Test vs Retain Membership Inference Attack (MIA): 0.514
Train vs Test Membership Inference Attack (MIA): 0.50075
Forget Set Accuracy (Df): 98.974609375
Method Execution Time: 794.54 seconds
