---
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`](https://huggingface.co/bert-base-uncased), and fine-tune on
a [Fake News dataset](https://www.kaggle.com/datasets/sadikaljarif/fake-news-detection-dataset-english ).