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README.md
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- [Inference over long documents in batches](#how-to-run-inference-over-a-very-long-30k-tokens-document-in-batches)
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[How to fine-tune further](#how-to-fine-tune-further)
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- [Training procedure](#training-procedure)
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<!-- /TOC -->
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`kmfoda/booksum` dataset on HuggingFace - read [the original paper here](https://arxiv.org/abs/2105.08209). Summaries longer than 1024 LongT5 tokens were filtered out to prevent the model from learning to generate "partial" summaries.
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## FAQ
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### How to run inference over a very long (30k+ tokens) document in batches?
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- [Inference over long documents in batches](#how-to-run-inference-over-a-very-long-30k-tokens-document-in-batches)
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[How to fine-tune further](#how-to-fine-tune-further)
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- [Training procedure](#training-procedure)
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- [Training hyperparameters](#training-hyperparameters)
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- [Framework versions](#framework-versions)
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<!-- /TOC -->
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`kmfoda/booksum` dataset on HuggingFace - read [the original paper here](https://arxiv.org/abs/2105.08209). Summaries longer than 1024 LongT5 tokens were filtered out to prevent the model from learning to generate "partial" summaries.
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### How to run inference over a very long (30k+ tokens) document in batches?
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