---
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
```