---
license: openrail
language:
- en
datasets:
- ErfanMoosaviMonazzah/fake-news-detection-English
metrics:
- f1
pipeline_tag: text-classification
tags:
- fake news detection
- tiny bert
widget:
- text: "Militant blast, gun attack kill 18 police in Egypt's Sinai"
  example_title: "True News"
- text: "Barack Obama nominated Hilary Clinton as his secretary of state on Monday. He chose her because she had ..."
  example_title: "Coreference resolution"
- text: "On a shelf, there are five books: a gray book, a red book, a purple book, a blue book, and a black book ..."
  example_title: "Logic puzzles"
- text: "The two men running to become New York City's next mayor will face off in their first debate Wednesday night ..."
  example_title: "Reading comprehension"
---
# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

A fine-tuned version of tiny bert to detect fake news. 

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by:** [Erfan Moosavi Monazzah](https://huggingface.co/ErfanMoosaviMonazzah)
- **Language:** English
- **Finetuned from model:** [Tiny BERT](https://huggingface.co/prajjwal1/bert-tiny)