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README.md
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- Recall: 1.0
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- Auc: 0.9997
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## Model description
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More information needed
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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- Recall: 1.0
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- Auc: 0.9997
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## Intended uses & limitations
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The model may not work with the articles over 512 tokens after preprocessing as the model's context is restricted to a maximum of 512 tokens in the sequence.
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## Training and evaluation data
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The [fake-and-real news](https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset) dataset contains a total of 44,898 annotated articles with 21,417 real and 23,481 fake. The dataset was stratified split into train, validation, and test subsets with a proportion of 60:20:20 respectively. The model was finetuned on train subset and evaluated on validation and test subsets.
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| Split | # examples |
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| train | 17959 |
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| validation | 13469 |
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| test | 13470 |
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## Training procedure
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