| ### 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 | | |