learning_rate: 0.0001
train_batch_size: 128
eval_batch_size: 256
seed: 13
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	0.1682	0.975	0.2221	0.2221	None
0.5997	2.0	782	0.1727	0.9737	0.2242	0.2242	None
0.5567	3.0	1173	0.1678	0.975	0.2222	0.2222	None
0.525	4.0	1564	0.1565	0.9757	0.2212	0.2212	None
0.525	5.0	1955	0.1618	0.9717	0.2275	0.2275	None
0.5118	6.0	2346	0.1584	0.974	0.2238	0.2238	None
0.4882	7.0	2737	0.1598	0.9723	0.2264	0.2264	None
0.4771	8.0	3128	0.1617	0.9677	0.2337	0.2337	None
0.4661	9.0	3519	0.1568	0.9693	0.2311	0.2311	None
0.4661	10.0	3910	0.1596	0.969	0.2316	0.2316	None

jialicheng/unlearn-so_cifar10_resnet-50_random_label_6_13

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