---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: semihGuner2002/distilbert-base-uncased-finetuned-URL
  results: []
datasets:
- semihGuner2002/PhishingURLsDataset
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# semihGuner2002/distilbert-base-uncased-finetuned-URL

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on [my own phishing URL dataset](https://huggingface.co/datasets/semihGuner2002/PhishingURLsDataset).
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