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	0.1695	0.8753	0.3663	0.3663	None
0.6112	2.0	782	0.1658	0.8793	0.3613	0.3613	None
0.5496	3.0	1173	0.1588	0.8917	0.3447	0.3447	None
0.5357	4.0	1564	0.1650	0.8823	0.3574	0.3574	None
0.5357	5.0	1955	0.1647	0.8797	0.3610	0.3610	None
0.52	6.0	2346	0.1657	0.8893	0.3479	0.3479	None
0.5003	7.0	2737	0.1561	0.8873	0.3507	0.3507	None
0.4885	8.0	3128	0.1578	0.8917	0.3448	0.3448	None
0.4839	9.0	3519	0.1595	0.9	0.3333	0.3333	None
0.4839	10.0	3910	0.1585	0.882	0.3579	0.3579	None

jialicheng/unlearn-so_cifar10_resnet-50_salun_6_21

21