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News_Reliability_BERT_fine_tuned
v0lt/News_Reliability_BERT_fine_tuned
News_Reliability_BERT_fine_tuned is a machine learning model from v0lt. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This is a fine-tuned version of BERT trained on the dataset of real and fake news used for indicating a reliability of the news article.
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At a glance
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Nov 10, 2025
- Updated
- Jun 20, 2026
- SHA
- d55e2680
Base models
Model card
From the Hugging Face model README
This is a fine-tuned version of BERT trained on the dataset of real and fake news used for indicating a reliability of the news article.
Additional Model Description
The intended use for this model is to output a percentage from 0 to 100 indicating the reliability of the news article. It was specifically developed for my project that combines fact checking on the internet with the prediction from this model. This model is basically a fine-tuned version of BERT, trained on a merged dataset consisting of two Kaggle datasets: one for real news and one for fake news.
Datasets Link
https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset
- Type
- bert
- License
- mit
- Languages
- en
- Created
- Nov 10, 2025
- Updated
- Jun 20, 2026