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Add evaluation results on the 3.0.0 config of cnn_dailymail

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Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the 3.0.0 config of the [cnn_dailymail](https://huggingface.co/datasets/cnn_dailymail) dataset by

@grapplerulrich

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-cnn_dailymail-d1c2a643-13015771).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=cnn_dailymail).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=cnn_dailymail).

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  1. README.md +36 -2
README.md CHANGED
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  ---
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  tags:
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  - summarization
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-
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  language:
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  - en
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-
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  license: mit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ### Bart model finetuned on xsum
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  ---
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  tags:
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  - summarization
 
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  language:
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  - en
 
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  license: mit
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+ model-index:
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+ - name: facebook/bart-large-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: cnn_dailymail
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+ type: cnn_dailymail
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+ config: 3.0.0
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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: 25.2697
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+ verified: true
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+ - name: ROUGE-2
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+ type: rouge
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+ value: 7.6638
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+ verified: true
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+ - name: ROUGE-L
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+ type: rouge
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+ value: 17.1808
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+ verified: true
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+ - name: ROUGE-LSUM
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+ type: rouge
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+ value: 21.7933
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 3.5042972564697266
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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: 27.4462
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+ verified: true
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  ---
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  ### Bart model finetuned on xsum
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