learning_rate: 0.0001
train_batch_size: 128
eval_batch_size: 256
seed: 100
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	0.1917	0.8698	0.3739	0.3739	None
0.6674	2.0	782	0.1988	0.8818	0.3580	0.3580	None
0.604	3.0	1173	0.1902	0.8902	0.3465	0.3465	None
0.5804	4.0	1564	0.1877	0.8952	0.3397	0.3397	None
0.5804	5.0	1955	0.1859	0.8828	0.3567	0.3567	None
0.5651	6.0	2346	0.1842	0.8915	0.3449	0.3449	None
0.5567	7.0	2737	0.1905	0.8915	0.3448	0.3448	None
0.5377	8.0	3128	0.1856	0.891	0.3457	0.3457	None
0.5365	9.0	3519	0.1835	0.8892	0.3480	0.3480	None
0.5365	10.0	3910	0.1823	0.8848	0.3541	0.3541	None

jialicheng/unlearn-so_cifar10_resnet-50_salun_8_100

100