phishing-site-classification
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4038
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4346 | 1.0 | 132 | 0.4356 |
| 0.4362 | 2.0 | 264 | 0.4370 |
| 0.4238 | 3.0 | 396 | 0.4256 |
| 0.3952 | 4.0 | 528 | 0.4198 |
| 0.3835 | 5.0 | 660 | 0.4202 |
| 0.4115 | 6.0 | 792 | 0.4146 |
| 0.4077 | 7.0 | 924 | 0.4172 |
| 0.411 | 8.0 | 1056 | 0.4143 |
| 0.3726 | 9.0 | 1188 | 0.4135 |
| 0.3942 | 10.0 | 1320 | 0.4091 |
| 0.4135 | 11.0 | 1452 | 0.4071 |
| 0.3817 | 12.0 | 1584 | 0.4091 |
| 0.399 | 13.0 | 1716 | 0.4072 |
| 0.4087 | 14.0 | 1848 | 0.4035 |
| 0.3912 | 15.0 | 1980 | 0.4038 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.5.1+cu121
- Datasets 4.5.0
- Tokenizers 0.22.2