Add evaluation results on the 3.0.0 config of cnn_dailymail
Browse filesBeep 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
@sysresearch101
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-cnn_dailymail-00961196-12825703).\
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).
README.md
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@@ -76,6 +76,39 @@ model-index:
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type: gen_len
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value: 18.6054
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verified: true
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---
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# T5-large Summarization Model Trained on the combined XSUM-CNN Daily Mail Dataset
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type: gen_len
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value: 18.6054
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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: cnn_dailymail
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type: cnn_dailymail
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config: 3.0.0
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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: 20.0405
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verified: true
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- name: ROUGE-2
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type: rouge
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value: 4.9306
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verified: true
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- name: ROUGE-L
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type: rouge
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value: 14.5795
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verified: true
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- name: ROUGE-LSUM
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type: rouge
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value: 17.625
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verified: true
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- name: loss
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type: loss
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value: 2.7669243812561035
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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: 18.657
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verified: true
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---
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# T5-large Summarization Model Trained on the combined XSUM-CNN Daily Mail Dataset
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