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README.md
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base_model: pszemraj/pegasus-x-large-book-summary
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: pegasus-x-large-book-summary-synthsumm-16384-v2
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results: []
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datasets:
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- pszemraj/synthsumm
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pipeline_tag: summarization
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---
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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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# pegasus-x-large-book-summary-synthsumm-16384-v2
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This model is a fine-tuned version of [pszemraj/pegasus-x-large-book-summary](https://huggingface.co/pszemraj/pegasus-x-large-book-summary) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5481
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- Rougelsum: 42.1211
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- Gen Len: 73.9846
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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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base_model: pszemraj/pegasus-x-large-book-summary
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tags:
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- generated_from_trainer
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- synthsumm
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metrics:
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- rouge
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datasets:
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- pszemraj/synthsumm
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pipeline_tag: summarization
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language:
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- en
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# pegasus-x-large-book-summary-synthsumm-16384-v2
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This was fine-tuned on a synthetic dataset of curated long-context text and `GPT-3.5-turbo-1106` summaries spanning several domains, including "random" long-context examples from redpajama, the pile, etc. Try it in the [gradio demo](https://huggingface.co/spaces/pszemraj/document-summarization)
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## Model description
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This model is a fine-tuned version of [pszemraj/pegasus-x-large-book-summary](https://huggingface.co/pszemraj/pegasus-x-large-book-summary) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5481
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- Rougelsum: 42.1211
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- Gen Len: 73.9846
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## Training procedure
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### Training hyperparameters
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