learning_rate: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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
0.3714	1.0	263	0.2936	0.869	0.949
0.2622	2.0	526	0.2681	0.884	0.96
0.2405	3.0	789	0.2642	0.898	0.961
0.2091	4.0	1052	0.2688	0.893	0.963
0.2078	5.0	1315	0.3813	0.882	0.962
0.1887	6.0	1578	0.2667	0.9	0.965
0.1695	7.0	1841	0.2851	0.902	0.964
0.1654	8.0	2104	0.2935	0.902	0.964
0.157	9.0	2367	0.3169	0.904	0.966
0.158	10.0	2630	0.3190	0.896	0.964
0.149	11.0	2893	0.3019	0.893	0.965
0.1437	12.0	3156	0.2995	0.9	0.965
0.1365	13.0	3419	0.3048	0.9	0.965
0.1312	14.0	3682	0.3090	0.898	0.965
0.1304	15.0	3945	0.3066	0.9	0.965

Perfect7613/modernbert-phishing-classifier

modernbert-phishing-classifier