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	0.1538	0.875	0.3670	0.3670	None
0.6098	2.0	782	0.1627	0.8797	0.3608	0.3608	None
0.5564	3.0	1173	0.1613	0.873	0.3697	0.3697	None
0.533	4.0	1564	0.1613	0.8837	0.3556	0.3556	None
0.533	5.0	1955	0.1622	0.8963	0.3384	0.3384	None
0.52	6.0	2346	0.1646	0.886	0.3524	0.3524	None
0.5003	7.0	2737	0.1594	0.883	0.3565	0.3565	None
0.4924	8.0	3128	0.1616	0.8913	0.3453	0.3453	None
0.4797	9.0	3519	0.1574	0.8907	0.3462	0.3462	None
0.4797	10.0	3910	0.1548	0.894	0.3416	0.3416	None

jialicheng/unlearn-so_cifar10_resnet-50_salun_6_87

87