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README.md
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# FakevsRealNews
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on
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It achieves the following results on the evaluation set:
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- Loss: 0.0006
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- Accuracy: 0.6309
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## Model description
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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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# FakevsRealNews
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on "Fake and real news dataset" dataset.
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Link to Dataset : https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset
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It achieves the following results on the evaluation set:
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- Loss: 0.0006
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- Accuracy: 0.6309
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## Model description
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Finetuned Distilbert
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## Intended uses & limitations
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## Training and evaluation data
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The data was split into train-dev-test sets on a ratio of 80:10:10
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## Training procedure
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