Add evaluation results on the default config and test split 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 and test split of the [xsum](https://huggingface.co./datasets/xsum) dataset by
@morenolq
, using the predictions stored [here](https://huggingface.co./datasets/autoevaluate/autoeval-eval-xsum-default-ca7304-1504954794).\
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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- summarization
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model-index:
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- name: bart-base-xsum
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results:
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dataset:
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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: bart-base-xsum
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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: 38.643
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verified: true
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- name: ROUGE-2
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type: rouge
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value: 17.7546
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verified: true
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- name: ROUGE-L
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type: rouge
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value: 32.2114
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verified: true
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- name: ROUGE-LSUM
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type: rouge
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value: 32.2207
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verified: true
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- name: loss
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type: loss
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value: 1.8224396705627441
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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: 19.7028
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verified: true
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dataset:
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type:
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xsum: null
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name:
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xsum: null
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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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