learning_rate: 0.0002
train_batch_size: 8
eval_batch_size: 8
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: 15

Training Loss	Epoch	Step	Validation Loss	Accuracy	Auc
0.8754	1.0	2465	0.7725	0.713	0.924
0.7939	2.0	4930	0.7535	0.711	0.926
0.7802	3.0	7395	0.7664	0.712	0.927
0.7693	4.0	9860	0.7545	0.72	0.928
0.7605	5.0	12325	0.7420	0.718	0.929
0.7534	6.0	14790	0.7536	0.714	0.929
0.7486	7.0	17255	0.7369	0.718	0.93
0.7392	8.0	19720	0.7239	0.725	0.931
0.736	9.0	22185	0.7414	0.718	0.931
0.728	10.0	24650	0.7293	0.722	0.931
0.7221	11.0	27115	0.7243	0.725	0.932
0.7191	12.0	29580	0.7286	0.721	0.931
0.7164	13.0	32045	0.7196	0.723	0.932
0.7133	14.0	34510	0.7178	0.724	0.933
0.7092	15.0	36975	0.7178	0.724	0.932

mos2v/bert-phishing-classifier_teacher

bert-phishing-classifier_teacher