metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: en-phishing-email-classifier
results: []
en-phishing-email-classifier
This model is a fine-tuned version of 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