readme: ---
  license: other
  tags:
  - generated_from_trainer
  model-index:
  - name: finetuned-distilbert-news-article-categorization
    results: []
  ---
  
  ### 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: 0.1548
  - F1_score(weighted): 0.96
  
  ### 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: 2
  ### Training results
  | Training Loss | Epoch |  Validation Loss | f1 score   |
  |:-------------:|:-----:|:---------------: |:------:|
  | 0.6359        | 1.0   | 0.1739           | 0.9619 |
  | 0.1548        | 2.0   | 0.1898           | 0.9648 |
  
  