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license: afl-3.0
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---
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---
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license: afl-3.0
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language:
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- en
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metrics:
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- accuracy
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library_name: transformers
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pipeline_tag: text-classification
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# Model Description
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The fake news detection model is a deep learning model designed to classify text as either "fake" or "real."
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The intended use of the fake news detection model is to provide a tool for identifying fake news articles.
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This model uses a pre-trained model of [`bert-base-uncased`](https://huggingface.co/bert-base-uncased), and fine-tune on
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a [Fake News dataset](https://www.kaggle.com/datasets/sadikaljarif/fake-news-detection-dataset-english ).
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