
📌S Retain class distribution for seed 1:
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 1:
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: 0.0283, val_loss: 0.0212, val_acc: 99.3555
Epoch [1], last_lr: 0.02000, train_loss: 0.0255, val_loss: 0.0182, val_acc: 99.5020
Epoch [2], last_lr: 0.02000, train_loss: 0.0224, val_loss: 0.0206, val_acc: 99.3457
Epoch [3], last_lr: 0.02000, train_loss: 0.0205, val_loss: 0.0215, val_acc: 99.3359
Epoch [4], last_lr: 0.02000, train_loss: 0.0187, val_loss: 0.0207, val_acc: 99.4531
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: 99.453125
Retain Accuracy: 99.3166275024414
Zero-Retain Forget (ZRF): 0.7952315807342529
Membership Inference Attack (MIA): 0.7973333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.5733333333333334
Forget vs Test Membership Inference Attack (MIA): 0.5233333333333333
Test vs Retain Membership Inference Attack (MIA): 0.524
Train vs Test Membership Inference Attack (MIA): 0.4895
Forget Set Accuracy (Df): 98.8839340209961
Method Execution Time: 796.88 seconds
