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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            -
                   
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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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