urlbert_results
This model is a fine-tuned version of CrabInHoney/urlbert-tiny-v4-phishing-classifier on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0735
- Accuracy: 0.9886
- F1: 0.9744
- Precision: 0.9823
- Recall: 0.9667
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0451 | 1.0 | 6023 | 0.0791 | 0.9876 | 0.9721 | 0.9851 | 0.9595 |
| 0.0401 | 2.0 | 12046 | 0.0733 | 0.9885 | 0.9743 | 0.9820 | 0.9668 |
| 0.0427 | 3.0 | 18069 | 0.0735 | 0.9886 | 0.9744 | 0.9823 | 0.9667 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.10.0+cu126
- Datasets 4.5.0
- Tokenizers 0.22.2