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	0.1330	0.867	0.3773	0.3773	None
0.4545	2.0	782	0.1217	0.885	0.3537	0.3537	None
0.4297	3.0	1173	0.1272	0.87	0.3735	0.3735	None
0.4177	4.0	1564	0.1255	0.882	0.3578	0.3578	None
0.4177	5.0	1955	0.1210	0.882	0.3579	0.3579	None
0.4007	6.0	2346	0.1209	0.89	0.3471	0.3471	None
0.3791	7.0	2737	0.1191	0.877	0.3647	0.3647	None
0.3683	8.0	3128	0.1198	0.889	0.3484	0.3484	None
0.3644	9.0	3519	0.1178	0.861	0.3857	0.3857	None
0.3644	10.0	3910	0.1159	0.879	0.3620	0.3620	None

jialicheng/unlearn-so_cifar10_resnet-50_salun_2_87

87