learning_rate: 0.0001
train_batch_size: 128
eval_batch_size: 256
seed: 87
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	391	0.1481	0.972	0.2268	0.2268	None
0.5364	2.0	782	0.1479	0.97	0.2299	0.2299	None
0.4949	3.0	1173	0.1431	0.97	0.2300	0.2300	None
0.4724	4.0	1564	0.1437	0.9635	0.2401	0.2401	None
0.4724	5.0	1955	0.1428	0.9655	0.2370	0.2370	None
0.4574	6.0	2346	0.1440	0.9635	0.2401	0.2401	None
0.436	7.0	2737	0.1398	0.964	0.2394	0.2394	None
0.4275	8.0	3128	0.1400	0.963	0.2410	0.2410	None
0.4139	9.0	3519	0.1387	0.9605	0.2448	0.2448	None
0.4139	10.0	3910	0.1390	0.959	0.2471	0.2471	None

jialicheng/unlearn-so_cifar10_resnet-50_random_label_4_87

87