learning_rate: 0.0001
train_batch_size: 128
eval_batch_size: 256
seed: 21
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	0.2195	0.8842	0.3545	0.3545	None
0.7244	2.0	782	0.2089	0.8764	0.3651	0.3651	None
0.6438	3.0	1173	0.1995	0.8844	0.3545	0.3545	None
0.6277	4.0	1564	0.1982	0.8922	0.3439	0.3439	None
0.6277	5.0	1955	0.2145	0.8956	0.3391	0.3391	None
0.6119	6.0	2346	0.2011	0.8924	0.3437	0.3437	None
0.594	7.0	2737	0.2035	0.8928	0.3432	0.3432	None
0.5819	8.0	3128	0.2008	0.897	0.3375	0.3375	None
0.5735	9.0	3519	0.2010	0.8924	0.3438	0.3438	None
0.5735	10.0	3910	0.2024	0.8914	0.3451	0.3451	None

jialicheng/unlearn-so_cifar10_resnet-50_salun_10_21

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