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value: 0.1849
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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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# distilbart-cnn-6-6-reddit
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This model is a fine-tuned version of [sshleifer/distilbart-cnn-6-6](https://huggingface.co/sshleifer/distilbart-cnn-6-6) on the reddit dataset.
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- Rougel: 0.1273
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- Rougelsum: 0.1601
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##
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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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value: 0.1849
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# distilbart-cnn-6-6-reddit
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This model is a fine-tuned version of [sshleifer/distilbart-cnn-6-6](https://huggingface.co/sshleifer/distilbart-cnn-6-6) on the reddit dataset.
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- Rougel: 0.1273
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- Rougelsum: 0.1601
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## More information and training script
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You can find more information about how this model was trained, including the actual training script in [this github repository](https://github.com/VerleysenNiels/arxiv-summarizer).
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## Training and evaluation data
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I made a split in a train and test set. The test size is 1% of the total dataset, which comes down to about 38k samples.
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## Training procedure
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