Add evaluation results on the default config of xsum
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Your model has been evaluated on the default config of the [xsum](https://huggingface.co/datasets/xsum) dataset by
@nbroad
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-xsum-20a28003-12045607).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=xsum).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=xsum).
README.md
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@@ -6,7 +6,40 @@ tags:
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- summarization
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model-index:
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- name: longt5-mediasum
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results:
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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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- summarization
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model-index:
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- name: longt5-mediasum
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results:
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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: xsum
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type: xsum
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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: 22.7044
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verified: true
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- name: ROUGE-2
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type: rouge
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value: 5.616
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verified: true
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- name: ROUGE-L
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type: rouge
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value: 18.0111
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verified: true
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- name: ROUGE-LSUM
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type: rouge
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value: 18.1554
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verified: true
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- name: loss
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type: loss
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value: 2.1656227111816406
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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: 18.3527
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verified: true
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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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