learning_rate: 0.0001
train_batch_size: 128
eval_batch_size: 256
seed: 42
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	0.1365	0.975	0.2220	0.2220	None
0.4572	2.0	782	0.1300	0.968	0.2331	0.2331	None
0.4234	3.0	1173	0.1214	0.97	0.2300	0.2300	None
0.4067	4.0	1564	0.1263	0.968	0.2331	0.2331	None
0.4067	5.0	1955	0.1186	0.969	0.2316	0.2316	None
0.3913	6.0	2346	0.1228	0.967	0.2347	0.2347	None
0.3715	7.0	2737	0.1186	0.957	0.2502	0.2502	None
0.3562	8.0	3128	0.1196	0.957	0.2502	0.2502	None
0.3534	9.0	3519	0.1184	0.955	0.2533	0.2533	None
0.3534	10.0	3910	0.1193	0.957	0.2502	0.2502	None

jialicheng/unlearn-so_cifar10_resnet-50_random_label_2_42

42