semihGuner2002/distilbert-base-uncased-finetuned-URL
This model is a fine-tuned version of distilbert-base-uncased on my own phishing URL dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0065
- Validation Loss: 0.0589
- Epoch: 4
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.0733 | 0.0372 | 0 |
| 0.0339 | 0.0487 | 1 |
| 0.0191 | 0.0379 | 2 |
| 0.0103 | 0.0441 | 3 |
| 0.0065 | 0.0589 | 4 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for semihGuner2002/distilbert-base-uncased-finetuned-URL
Base model
distilbert/distilbert-base-uncased