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phishing-links-detection-using-transformers
viperDEE/phishing-links-detection-using-transformers
phishing-links-detection-using-transformers is a text classification model from viperDEE. 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
- May 7, 2026
- Updated
- May 11, 2026
- SHA
- 7b2a1ac7
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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. -->
distilbert-zim-phishing
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: 0.3919
- Accuracy: 0.9032
- Precision: 0.8667
- Recall: 0.9286
- F1: 0.8966
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: 4
- eval_batch_size: 8
- 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: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 10
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.6124 | 1.0 | 27 | 0.5658 | 0.75 | 1.0 | 0.4286 | 0.6 |
| 0.5354 | 2.0 | 54 | 0.2746 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.2772 | 3.0 | 81 | 0.2040 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.3967 | 4.0 | 108 | 0.2037 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.3336 | 5.0 | 135 | 0.2289 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.2011 | 6.0 | 162 | 0.2000 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.1995 | 7.0 | 189 | 0.2019 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.1997 | 8.0 | 216 | 0.2025 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.3512 | 9.0 | 243 | 0.2019 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.3142 | 10.0 | 270 | 0.2022 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 7, 2026
- Updated
- May 11, 2026