
📌S Retain class distribution for seed 7:
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 7:
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: 0.0279, val_loss: 0.0293, val_acc: 99.1504
Epoch [1], last_lr: 0.02000, train_loss: 0.0252, val_loss: 0.0216, val_acc: 99.3555
Epoch [2], last_lr: 0.02000, train_loss: 0.0218, val_loss: 0.0247, val_acc: 99.2969
Epoch [3], last_lr: 0.02000, train_loss: 0.0204, val_loss: 0.0186, val_acc: 99.5703
Epoch [4], last_lr: 0.02000, train_loss: 0.0193, val_loss: 0.0236, val_acc: 99.3750
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: 99.375
Retain Accuracy: 99.27738189697266
Zero-Retain Forget (ZRF): 0.8022440671920776
Membership Inference Attack (MIA): 0.1795
Forget vs Retain Membership Inference Attack (MIA): 0.5758333333333333
Forget vs Test Membership Inference Attack (MIA): 0.5191666666666667
Test vs Retain Membership Inference Attack (MIA): 0.552
Train vs Test Membership Inference Attack (MIA): 0.49975
Forget Set Accuracy (Df): 98.72582244873047
Method Execution Time: 790.91 seconds
