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README.md
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# distilbert-base-casedfinetuned-fake-news-detection
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.0019
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- F1: 0.9998
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More information needed
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## Training procedure
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# distilbert-base-casedfinetuned-fake-news-detection
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the [Fake and Reals News](https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0019
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- F1: 0.9998
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More information needed
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The [Fake and Reals News](https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset) dataset was used. It was stratified split into a train-val-test set (60/20/20).
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Fake News
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## Training procedure
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