
📌S Retain class distribution for seed 6:
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 6:
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: 0.00010, train_loss: 0.6434, val_loss: 0.1565, val_acc: 99.3848
Epoch [1], last_lr: 0.00010, train_loss: 0.6020, val_loss: 0.1157, val_acc: 99.3359
Epoch [2], last_lr: 0.00010, train_loss: 0.5906, val_loss: 0.1344, val_acc: 99.3652
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: 99.365234375
Retain Accuracy: 99.22010040283203
Zero-Retain Forget (ZRF): 0.9476035833358765
Membership Inference Attack (MIA): 0.5106666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.5429166666666667
Forget vs Test Membership Inference Attack (MIA): 0.5466666666666666
Test vs Retain Membership Inference Attack (MIA): 0.554
Train vs Test Membership Inference Attack (MIA): 0.50375
Forget Set Accuracy (Df): 98.8792724609375
Method Execution Time: 684.41 seconds
