hello
hello

📌S Retain class distribution for seed 9:
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 9:
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: 0.2268, val_loss: 0.2891, val_acc: 90.4785
Epoch [1], last_lr: 0.02000, train_loss: 0.2196, val_loss: 0.3041, val_acc: 89.9023
Epoch [2], last_lr: 0.02000, train_loss: 0.2158, val_loss: 0.2998, val_acc: 90.4980
Epoch [3], last_lr: 0.02000, train_loss: 0.2076, val_loss: 0.3058, val_acc: 90.0195
Epoch [4], last_lr: 0.02000, train_loss: 0.2015, val_loss: 0.3061, val_acc: 90.0781
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: 90.078125
Retain Accuracy: 93.15563201904297
Zero-Retain Forget (ZRF): 0.8239779472351074
Membership Inference Attack (MIA): 0.6534
Forget vs Retain Membership Inference Attack (MIA): 0.561
Forget vs Test Membership Inference Attack (MIA): 0.5435
Test vs Retain Membership Inference Attack (MIA): 0.53325
Train vs Test Membership Inference Attack (MIA): 0.52625
Forget Set Accuracy (Df): 90.38717651367188
Method Execution Time: 1077.58 seconds
