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Add evaluation results on the default config and test split of multi_news
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the default config and test split of the [multi_news](https://huggingface.co/datasets/multi_news) dataset by
@pszemraj
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-multi_news-default-e22c67-2252871794).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=multi_news).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=multi_news).
README.md
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@@ -9,7 +9,7 @@ tags:
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- booksum
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- long-document
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- long-form
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license:
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- apache-2.0
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- bsd-3-clause
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datasets:
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type: gen_len
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value: 163.9394
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verified: true
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---
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# Longformer Encoder-Decoder (LED) for Narrative-Esque Long Text Summarization
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- booksum
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- long-document
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- long-form
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license:
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- apache-2.0
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- bsd-3-clause
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datasets:
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type: gen_len
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value: 163.9394
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verified: true
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- task:
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type: summarization
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name: Summarization
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dataset:
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name: multi_news
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type: multi_news
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config: default
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split: test
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metrics:
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- name: ROUGE-1
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type: rouge
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value: 39.0834
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verified: true
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- name: ROUGE-2
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type: rouge
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value: 11.4043
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verified: true
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- name: ROUGE-L
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type: rouge
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value: 19.1813
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verified: true
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- name: ROUGE-LSUM
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type: rouge
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value: 35.1581
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verified: true
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- name: loss
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type: loss
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value: 4.654905319213867
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verified: true
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- name: gen_len
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type: gen_len
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value: 186.2494
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verified: true
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---
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# Longformer Encoder-Decoder (LED) for Narrative-Esque Long Text Summarization
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