lewtun HF staff commited on
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Add evaluation results on the default config of xsum

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Beep 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-8dc1621c-12925730).\
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).

Files changed (1) hide show
  1. README.md +33 -0
README.md CHANGED
@@ -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: 20.789
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+ verified: true
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+ - name: ROUGE-2
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+ type: rouge
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+ value: 3.604
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+ verified: true
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+ - name: ROUGE-L
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+ type: rouge
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+ value: 13.609
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+ verified: true
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+ - name: ROUGE-LSUM
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+ type: rouge
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+ value: 16.6441
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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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