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	0.1477	0.9745	0.2229	0.2229	None
0.5326	2.0	782	0.1522	0.971	0.2284	0.2284	None
0.4956	3.0	1173	0.1444	0.976	0.2205	0.2205	None
0.4763	4.0	1564	0.1363	0.9715	0.2277	0.2277	None
0.4763	5.0	1955	0.1409	0.975	0.2222	0.2222	None
0.4483	6.0	2346	0.1351	0.971	0.2285	0.2285	None
0.4313	7.0	2737	0.1421	0.9655	0.2371	0.2371	None
0.4239	8.0	3128	0.1350	0.9665	0.2355	0.2355	None
0.4164	9.0	3519	0.1368	0.965	0.2379	0.2379	None
0.4164	10.0	3910	0.1385	0.9625	0.2417	0.2417	None

jialicheng/unlearn-so_cifar10_resnet-50_random_label_4_13

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