Fake News Detection with Fine-Tuned DistilBERT

This project demonstrates binary text classification using a fine-tuned DistilBERT model to detect whether a news article is unreliable or reliable. Kaggle dataset link: https://www.kaggle.com/datasets/anupampaul005/fake-news-dataset

Model Output Examples

{0: 'Reliable', 1: 'Unreliable'}

Below are some sample screenshots showing the model in action:

This model was fine-tuned using HuggingFace's transformers library and the DistilBERT base uncased model.