### finetuned-distilbert-news-article-catgorization

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the news_article_categorization dataset.
It achieves the following results on the evaluation set:
- Loss: 0.01338
- F1_score(weighted): 1.0

### Model description

 More information needed

### Intended uses & limitations

More information needed

### Training and evaluation data

The model was trained on some subset of the news_article_categorization dataset and it was validated on the remaining subset of the data

### Training procedure
More information needed

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-5
- train_batch_size: 3
- eval_batch_size: 3
- seed: 17
- optimizer: AdamW(lr=1e-5 and epsilon=1e-08)
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0
- num_epochs: 5
### Training results
| Training Loss | Epoch |  Validation Loss | f1 score   |
|:-------------:|:-----:|:---------------: |:------:|
| 0.5176        | 1.0   | 0.0466           | 0.9838 |
| 0.0513        | 2.0   | 0.0051           | 1.0000 |
| 0.0320        | 3.0   | 0.0032           | 1.0000 |
| 0.0229        | 4.0   | 0.0018           | 1.0000 |
| 0.0133        | 5.0   | 0.0017           | 1.0000 |