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	0.2052	0.877	0.3640	0.3640	None
0.7222	2.0	782	0.2120	0.8782	0.3627	0.3627	None
0.6514	3.0	1173	0.2059	0.8866	0.3514	0.3514	None
0.6284	4.0	1564	0.2111	0.8848	0.3539	0.3539	None
0.6284	5.0	1955	0.2037	0.8922	0.3439	0.3439	None
0.6123	6.0	2346	0.2005	0.8904	0.3465	0.3465	None
0.594	7.0	2737	0.2010	0.8834	0.3560	0.3560	None
0.583	8.0	3128	0.2032	0.8946	0.3408	0.3408	None
0.5745	9.0	3519	0.2000	0.8886	0.3489	0.3489	None
0.5745	10.0	3910	0.1985	0.8982	0.3358	0.3358	None

jialicheng/unlearn-so_cifar10_resnet-50_salun_10_87

87