hello
hello
Labels

📌S Retain class distribution for seed 2:
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 2:
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
780909900
hello
hello
Epoch [0], last_lr: 0.02000, train_loss: 0.2820, val_loss: 0.9343, val_acc: 73.6914
Epoch [1], last_lr: 0.02000, train_loss: 0.2279, val_loss: 0.7442, val_acc: 78.4277
Epoch [2], last_lr: 0.02000, train_loss: 0.1300, val_loss: 1.1378, val_acc: 73.9258
Epoch [3], last_lr: 0.02000, train_loss: 0.0940, val_loss: 0.8655, val_acc: 79.1797
Epoch [4], last_lr: 0.02000, train_loss: 0.0772, val_loss: 0.9414, val_acc: 76.9336
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: 76.93359375
Retain Accuracy: 94.97177124023438
Zero-Retain Forget (ZRF): 0.7548786997795105
Membership Inference Attack (MIA): 0.62
Forget vs Retain Membership Inference Attack (MIA): 0.612
Forget vs Test Membership Inference Attack (MIA): 0.509
Test vs Retain Membership Inference Attack (MIA): 0.6455
Train vs Test Membership Inference Attack (MIA): 0.584
Forget Set Accuracy (Df): 82.00138092041016
Method Execution Time: 975.58 seconds
