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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 None 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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- ## Training and evaluation data
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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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