learning_rate: 5e-05
train_batch_size: 128
eval_batch_size: 256
seed: 42
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
1.4001	1.0	391	0.6190	0.8843	0.2229	0.2229	None
1.3438	2.0	782	0.6104	0.8883	0.2167	0.2167	None
1.2855	3.0	1173	0.6013	0.8833	0.2248	0.2248	None
1.2479	4.0	1564	0.5943	0.889	0.2158	0.2158	None
1.1909	5.0	1955	0.5923	0.8963	0.2041	0.2041	None
1.1391	6.0	2346	0.5888	0.8917	0.2116	0.2116	None
1.1254	7.0	2737	0.5866	0.8917	0.2116	0.2116	None
1.1123	8.0	3128	0.5885	0.892	0.2110	0.2110	None
1.0918	9.0	3519	0.5805	0.8943	0.2073	0.2073	None
1.0779	10.0	3910	0.5861	0.8913	0.2121	0.2121	None

jialicheng/unlearn-so_cifar100_resnet-50_random_label_6_42

42