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	0.1855	0.9762	0.2201	0.2201	None
0.6623	2.0	782	0.2030	0.973	0.2252	0.2252	None
0.6003	3.0	1173	0.1831	0.9765	0.2197	0.2197	None
0.5715	4.0	1564	0.1858	0.974	0.2237	0.2237	None
0.5715	5.0	1955	0.1826	0.9745	0.2229	0.2229	None
0.5596	6.0	2346	0.1805	0.974	0.2237	0.2237	None
0.5352	7.0	2737	0.1892	0.9692	0.2312	0.2312	None
0.5268	8.0	3128	0.1832	0.9683	0.2328	0.2328	None
0.5136	9.0	3519	0.1805	0.9683	0.2328	0.2328	None
0.5136	10.0	3910	0.1824	0.965	0.2378	0.2378	None

jialicheng/unlearn-so_cifar10_resnet-50_random_label_8_13

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