hello
hello

📌 S Retain class distribution for seed 7:
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 7:
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: 0.2817, val_loss: 0.3640, val_acc: 87.7051
Epoch [1], last_lr: 0.02000, train_loss: 0.2811, val_loss: 0.3593, val_acc: 88.2031
Epoch [2], last_lr: 0.02000, train_loss: 0.2699, val_loss: 0.3609, val_acc: 87.6953
Epoch [3], last_lr: 0.02000, train_loss: 0.2657, val_loss: 0.3326, val_acc: 89.0625
Epoch [4], last_lr: 0.02000, train_loss: 0.2605, val_loss: 0.3903, val_acc: 87.0312
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: 87.03125
Retain Accuracy: 89.6337890625
Zero-Retain Forget (ZRF): 0.8265542984008789
Membership Inference Attack (MIA): 0.6158
Forget vs Retain Membership Inference Attack (MIA): 0.515
Forget vs Test Membership Inference Attack (MIA): 0.535
Test vs Retain Membership Inference Attack (MIA): 0.50675
Train vs Test Membership Inference Attack (MIA): 0.50925
Forget Set Accuracy (Df): 87.57008361816406
Method Execution Time: 623.40 seconds
