Add evaluation results on the default config of xsum
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the default config of the [xsum](https://huggingface.co/datasets/xsum) dataset by @xarymast, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-xsum-69daf1dd-12935737).\
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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@@ -41,6 +41,39 @@ model-index:
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type: gen_len
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value: 78.5866
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verified: true
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---
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# BART (large-sized model), fine-tuned on CNN Daily Mail
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type: gen_len
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value: 78.5866
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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: 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: 20.7919
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verified: true
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- name: ROUGE-2
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type: rouge
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value: 3.605
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verified: true
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- name: ROUGE-L
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type: rouge
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value: 13.6102
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verified: true
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- name: ROUGE-LSUM
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type: rouge
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value: 16.645
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verified: true
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- name: loss
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type: loss
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value: 2.5788395404815674
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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: 67.6076
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verified: true
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---
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# BART (large-sized model), fine-tuned on CNN Daily Mail
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