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swordphish-url-detection
RamzyBakir/swordphish-url-detection
swordphish-url-detection is a text classification model from RamzyBakir. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Dec 6, 2025
- Updated
- Dec 6, 2025
- SHA
- de7fced5
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
swordphish-url-detection
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0618
- Accuracy: 0.9782
- F1: 0.9717
- Precision: 0.9715
- Recall: 0.9719
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: 2048
- eval_batch_size: 2048
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.1675 | 0.4452 | 500 | 0.1054 | 0.9601 | 0.9485 | 0.9423 | 0.9548 |
| 0.1016 | 0.8905 | 1000 | 0.0829 | 0.9694 | 0.9603 | 0.9580 | 0.9627 |
| 0.083 | 1.3357 | 1500 | 0.0747 | 0.9710 | 0.9627 | 0.9528 | 0.9729 |
| 0.0753 | 1.7809 | 2000 | 0.0697 | 0.9734 | 0.9658 | 0.9580 | 0.9736 |
| 0.0682 | 2.2262 | 2500 | 0.0660 | 0.9757 | 0.9685 | 0.9676 | 0.9695 |
| 0.063 | 2.6714 | 3000 | 0.0647 | 0.9759 | 0.9689 | 0.9631 | 0.9748 |
| 0.0596 | 3.1167 | 3500 | 0.0631 | 0.9771 | 0.9704 | 0.9681 | 0.9727 |
| 0.0553 | 3.5619 | 4000 | 0.0620 | 0.9776 | 0.9709 | 0.9699 | 0.9720 |
| 0.0554 | 4.0071 | 4500 | 0.0619 | 0.9784 | 0.9719 | 0.9737 | 0.9702 |
| 0.0524 | 4.4524 | 5000 | 0.0617 | 0.9781 | 0.9716 | 0.9710 | 0.9722 |
| 0.0527 | 4.8976 | 5500 | 0.0618 | 0.9782 | 0.9717 | 0.9715 | 0.9719 |
Framework versions
- Transformers 4.56.0
- Pytorch 2.8.0+cu129
- Datasets 4.4.1
- Tokenizers 0.22.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 6, 2025
- Updated
- Dec 6, 2025