Add evaluation results on the default config of multi_news
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the default config of the [multi_news](https://huggingface.co/datasets/multi_news) dataset by
@ccdv
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-multi_news-416d7689-12805701).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=multi_news).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=multi_news).
README.md
CHANGED
@@ -20,6 +20,39 @@ model-index:
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- name: Rouge1
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type: rouge
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value: 41.6136
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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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- name: Rouge1
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type: rouge
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value: 41.6136
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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: multi_news
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type: multi_news
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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: 39.6512
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verified: true
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- name: ROUGE-2
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type: rouge
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value: 14.333
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verified: true
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- name: ROUGE-L
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type: rouge
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value: 21.5797
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verified: true
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- name: ROUGE-LSUM
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type: rouge
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value: 35.5793
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verified: true
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- name: loss
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type: loss
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value: 5.507579803466797
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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: 132.1745
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verified: true
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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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