---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: modernbert-phishing-classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# modernbert-phishing-classifier

This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3066
- Accuracy: 0.9
- Auc: 0.965

## 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: 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 results

| 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 |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.0