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led_base_16384_arxiv_summarization
AlgorithmicResearchGroup/led_base_16384_arxiv_summarization
led_base_16384_arxiv_summarization is a summarization model from AlgorithmicResearchGroup. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as apache-2.0.
A led-base-16384 model to summarize ArXiv papers. Inputs are the abstracts of papers and full documents, and outputs are the summaries of the papers.
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- led
- Access
- Public
- Created
- Oct 16, 2022
- Updated
- Oct 4, 2023
- SHA
- 7866ac04
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Model card
From the Hugging Face model README
Introduction
A led-base-16384 model to summarize ArXiv papers. Inputs are the abstracts of papers and full documents, and outputs are the summaries of the papers.
Allenai's Longformer Encoder-Decoder (LED).
As described in Longformer: The Long-Document Transformer by Iz Beltagy, Matthew E. Peters, Arman Cohan, led-base-16384 was initialized from bart-base since both models share the exact same architecture. To be able to process 16K tokens, bart-base's position embedding matrix was simply copied 16 times.
Rouge 2
| Type | Score |
|---|---|
precision | 0.1839148953011932 |
recall | 0.14904707945189774 |
fmeasure | 0.1580026685776864 |
- Task
- Summarization
- Library
- transformers
- Type
- led
- License
- apache-2.0
- Languages
- en
- Created
- Oct 16, 2022
- Updated
- Oct 4, 2023