readme: ---
  language:
  - en
  
  license: mit
  
  tags:
  - Cometrain AutoCode
  - Cometrain AlphaML
  
  datasets:
  - fake-and-real-news-dataset
  
  widget:
  - text: "Former FBI Agent: We've never been to the moon"
    example_title: "Apollo program misinformation"
  - text: "Finland to make decision on NATO membership in coming weeks"
    example_title: "Article from Reuters about Finland & NATO"
  
  inference:
   parameters:
     top_p: 0.9
     temperature: 0.5
  
  ---
  
  # fake-news-detector-t5
  This model has been automatically fine-tuned and tested as part of the development of the GPT-2-based AutoML framework for accelerated and easy development of NLP enterprise solutions. Fine-tuned [T5](https://huggingface.co/t5-base) allows to recognize fake news and misinformation.
  Automatically trained on [Fake and real news dataset(2017)](https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset) dataset.
  
  ## Made with Cometrain AlphaML & AutoCode
  This model was automatically fine-tuned using the Cometrain AlphaML framework and tested with CI/CD pipeline made by Cometrain AutoCode
  
  ## Cometrain AlphaML command
  ```shell
  $ cometrain create --name fake-news-detector --model auto --task 'Finetune the machine learning model for recognizing fake news' --output transformers
  ```
  