| | --- |
| | 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 |
| |
|
