PhishMe-ModernBERT

This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0011
• F1: 1.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-06
• train_batch_size: 32
• eval_batch_size: 8
• seed: 24104186
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.6221	0.1969	25	0.5625	0.8332
0.185	0.3937	50	0.1608	0.9289
0.0169	0.5906	75	0.0591	0.9763
0.4644	0.7874	100	0.0622	0.9763
0.0001	0.9843	125	0.1019	0.9763
0.1226	1.1811	150	0.0283	0.9763
0.2688	1.3780	175	0.0561	0.9763
0.0001	1.5748	200	0.0080	1.0
0.0001	1.7717	225	0.1016	0.9763
0.0084	1.9685	250	0.0197	0.9763
0.0003	2.1654	275	0.0072	1.0
0.0063	2.3622	300	0.0002	1.0
0.0	2.5591	325	0.0011	1.0

Framework versions

• Transformers 4.53.1
• Pytorch 2.7.1+cu126
• Datasets 4.0.0
• Tokenizers 0.21.2