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	0.2066	0.9762	0.2201	0.2201	None
0.6587	2.0	782	0.1926	0.9758	0.2209	0.2209	None
0.606	3.0	1173	0.1787	0.977	0.2190	0.2190	None
0.5789	4.0	1564	0.1761	0.9785	0.2166	0.2166	None
0.5789	5.0	1955	0.1890	0.976	0.2205	0.2205	None
0.5535	6.0	2346	0.1781	0.975	0.2222	0.2222	None
0.5384	7.0	2737	0.1817	0.9715	0.2277	0.2277	None
0.5243	8.0	3128	0.1858	0.974	0.2238	0.2238	None
0.5103	9.0	3519	0.1811	0.9708	0.2289	0.2289	None
0.5103	10.0	3910	0.1835	0.9698	0.2305	0.2305	None

jialicheng/unlearn-so_cifar10_resnet-50_random_label_8_21

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