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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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# distilroberta-current
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This model
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It achieves the following results on the evaluation set:
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- Loss: 0.1745
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- Acc: 0.9355
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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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More information needed
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## Training procedure
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### Training hyperparameters
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results: []
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# distilroberta-current
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This model classifies articles as current (covering or discussing current events) or not current (not relating to current events).
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The model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on a dataset of articles labeled using weak-supervision and manual labeling
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It achieves the following results on the evaluation set:
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- Loss: 0.1745
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- Acc: 0.9355
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## Training procedure
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### Training hyperparameters
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