README.md

metadata

license: afl-3.0
language:
  - en
metrics:
  - accuracy
library_name: transformers

Model Description

The fake news detection model is a deep learning model designed to classify news as either "fake" or "real." The intended use of the fake news detection model is to provide a tool for identifying fake news articles. This model uses a pre-trained model of bert-base-uncased, and fine-tune on a Fake News dataset.