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README.md
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---
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language:
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### Model Description
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This model is a multiclass classification model trained on the Liar Dataset using the BERT (bert-base-uncased) architecture.
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The primary task is to classify news articles into different categories, making it suitable for fake news detection. \
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BERT (Bidirectional Encoder Representations from Transformers) is a transformer-based model known for its effectiveness in natural language processing tasks.
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The model classifies the input text into one of 6 target classes.
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Bias: The model may inherit biases present in the training data, and it's important to be aware of potential biases in the predictions.
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