hello
hello

📌S Retain class distribution for seed 1:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

📌 Forget class distribution for seed 1:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500
hello
hello
Epoch [0], last_lr: 0.02000, train_loss: 0.2289, val_loss: 0.2947, val_acc: 89.8145
Epoch [1], last_lr: 0.02000, train_loss: 0.2215, val_loss: 0.2990, val_acc: 89.9023
Epoch [2], last_lr: 0.02000, train_loss: 0.2122, val_loss: 0.3398, val_acc: 89.4434
Epoch [3], last_lr: 0.02000, train_loss: 0.2072, val_loss: 0.3712, val_acc: 88.3887
Epoch [4], last_lr: 0.02000, train_loss: 0.2048, val_loss: 0.3015, val_acc: 90.3906
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  45000
Forget Train Dl:  5000
Retain Valid Dl:  45000
Forget Valid Dl:  5000
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 90.390625
Retain Accuracy: 93.4225845336914
Zero-Retain Forget (ZRF): 0.8265376687049866
Membership Inference Attack (MIA): 0.6584
Forget vs Retain Membership Inference Attack (MIA): 0.555
Forget vs Test Membership Inference Attack (MIA): 0.5375
Test vs Retain Membership Inference Attack (MIA): 0.5245
Train vs Test Membership Inference Attack (MIA): 0.5245
Forget Set Accuracy (Df): 90.76516723632812
Method Execution Time: 1069.73 seconds
