hello
hello

📌S Retain class distribution for seed 10:
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

📌S Forget class distribution for seed 10:
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
7
hello
hello
Epoch [0], last_lr: 0.02000, train_loss: 0.0415, val_loss: 0.0957, val_acc: 97.1387
Epoch [1], last_lr: 0.02000, train_loss: 0.0412, val_loss: 0.0958, val_acc: 97.0508
Epoch [2], last_lr: 0.02000, train_loss: 0.0351, val_loss: 0.0924, val_acc: 97.0996
Epoch [3], last_lr: 0.02000, train_loss: 0.0360, val_loss: 0.0964, val_acc: 97.2559
Epoch [4], last_lr: 0.02000, train_loss: 0.0315, val_loss: 0.1269, val_acc: 96.2012
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: 96.201171875
Retain Accuracy: 98.29643249511719
Zero-Retain Forget (ZRF): 0.7704845666885376
Membership Inference Attack (MIA): 0.8458
Forget vs Retain Membership Inference Attack (MIA): 0.4965
Forget vs Test Membership Inference Attack (MIA): 0.504
Test vs Retain Membership Inference Attack (MIA): 0.52575
Train vs Test Membership Inference Attack (MIA): 0.51225
Forget Set Accuracy (Df): 97.53561401367188
Method Execution Time: 3938.61 seconds
