learning_rate: 0.0001
train_batch_size: 128
eval_batch_size: 256
seed: 100
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	0.1743	0.971	0.2283	0.2283	None
0.6004	2.0	782	0.1841	0.9753	0.2215	0.2215	None
0.5522	3.0	1173	0.1677	0.978	0.2174	0.2174	None
0.5274	4.0	1564	0.1603	0.9807	0.2132	0.2132	None
0.5274	5.0	1955	0.1697	0.972	0.2269	0.2269	None
0.5087	6.0	2346	0.1571	0.9777	0.2179	0.2179	None
0.495	7.0	2737	0.1613	0.974	0.2238	0.2238	None
0.475	8.0	3128	0.1576	0.974	0.2238	0.2238	None
0.4675	9.0	3519	0.1571	0.9697	0.2306	0.2306	None
0.4675	10.0	3910	0.1577	0.9697	0.2306	0.2306	None

jialicheng/unlearn-so_cifar10_resnet-50_random_label_6_100

100