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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# distilroberta-proppy
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on
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It achieves the following results on the evaluation set:
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- Loss: 0.1838
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- Acc: 0.9269
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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## Training procedure
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results: []
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# distilroberta-proppy
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the proppy corpus.
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It achieves the following results on the evaluation set:
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- Loss: 0.1838
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- Acc: 0.9269
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## Training and evaluation data
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The training data is the [proppy corpus](https://zenodo.org/record/3271522). See [Proppy: Organizing the News
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Based on Their Propagandistic Content](https://propaganda.qcri.org/papers/elsarticle-template.pdf) for details.
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## Training procedure
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