---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: en-phishing-email-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. -->

# en-phishing-email-classifier

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6750

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3976        | 1.0   | 137  | 0.3507          |
| 0.2556        | 2.0   | 274  | 0.3787          |
| 0.1948        | 3.0   | 411  | 0.4024          |
| 0.1544        | 4.0   | 548  | 0.3626          |
| 0.1267        | 5.0   | 685  | 0.3511          |
| 0.0988        | 6.0   | 822  | 0.3824          |
| 0.08          | 7.0   | 959  | 0.4497          |
| 0.0657        | 8.0   | 1096 | 0.4339          |
| 0.0573        | 9.0   | 1233 | 0.5017          |
| 0.0472        | 10.0  | 1370 | 0.5168          |
| 0.0467        | 11.0  | 1507 | 0.5324          |
| 0.0416        | 12.0  | 1644 | 0.6004          |
| 0.0386        | 13.0  | 1781 | 0.5630          |
| 0.0375        | 14.0  | 1918 | 0.5628          |
| 0.0307        | 15.0  | 2055 | 0.5649          |
| 0.0284        | 16.0  | 2192 | 0.6346          |
| 0.0274        | 17.0  | 2329 | 0.6234          |
| 0.0261        | 18.0  | 2466 | 0.6284          |
| 0.0238        | 19.0  | 2603 | 0.6398          |
| 0.0239        | 20.0  | 2740 | 0.6649          |
| 0.0227        | 21.0  | 2877 | 0.6750          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1