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# long-t5-tglobal-base-16384 + BookSum
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- summarize long text and get a SparkNotes-esque summary of arbitrary topics!
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- generalizes reasonably well to academic & narrative text.
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- A simple example/use case on ASR is [here](https://longt5-booksum-example.netlify.app/). There's also an example notebook on Colab:
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[](https://colab.research.google.com/gist/pszemraj/d9a0495861776168fd5cdcd7731bc4ee/example-long-t5-tglobal-base-16384-book-summary.ipynb)
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## Cheeky Proof-of-Concept
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\*_Prior training sessions used roughly similar parameters; multiple sessions were required as this takes
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### Training results
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# long-t5-tglobal-base-16384 + BookSum
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[](https://colab.research.google.com/gist/pszemraj/d9a0495861776168fd5cdcd7731bc4ee/example-long-t5-tglobal-base-16384-book-summary.ipynb)
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- summarize long text and get a SparkNotes-esque summary of arbitrary topics!
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- generalizes reasonably well to academic & narrative text.
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- A simple example/use case on ASR is [here](https://longt5-booksum-example.netlify.app/). There's also an example notebook on Colab:
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## Cheeky Proof-of-Concept
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- num_epochs: 2
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\*_Prior training sessions used roughly similar parameters; multiple sessions were required as this takes eons to train_
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### Training results
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