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	0.2108	0.8748	0.3672	0.3672	None
0.7212	2.0	782	0.2146	0.8834	0.3558	0.3558	None
0.6496	3.0	1173	0.2017	0.8816	0.3584	0.3584	None
0.627	4.0	1564	0.2085	0.8888	0.3485	0.3485	None
0.627	5.0	1955	0.2006	0.8838	0.3554	0.3554	None
0.6109	6.0	2346	0.1961	0.8864	0.3520	0.3520	None
0.5955	7.0	2737	0.2089	0.8902	0.3466	0.3466	None
0.5843	8.0	3128	0.2035	0.896	0.3387	0.3387	None
0.5788	9.0	3519	0.2028	0.9034	0.3285	0.3285	None
0.5788	10.0	3910	0.2012	0.8922	0.3441	0.3441	None

jialicheng/unlearn-so_cifar10_resnet-50_salun_10_100

100