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Add evaluation results on samsum dataset

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

@ikadebi

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-samsum-0c672345-10275367).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=samsum).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=samsum).

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  1. README.md +36 -1
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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  license: mit
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  thumbnail: https://huggingface.co/front/thumbnails/facebook.png
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # BART (large-sized model), fine-tuned on CNN Daily Mail
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  ---
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  tags:
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  - summarization
 
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  license: mit
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  thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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+ model-index:
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+ - name: facebook/bart-large-cnn
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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: samsum
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+ type: samsum
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+ config: samsum
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+ split: train
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+ metrics:
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+ - name: ROUGE-1
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+ type: rouge
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+ value: 31.0628
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+ verified: true
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+ - name: ROUGE-2
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+ type: rouge
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+ value: 10.5389
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+ verified: true
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+ - name: ROUGE-L
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+ type: rouge
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+ value: 23.3676
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+ verified: true
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+ - name: ROUGE-LSUM
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+ type: rouge
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+ value: 28.9448
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 2.1747169494628906
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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: 66.3304
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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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