Add evaluation results on the default config of xsum
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 [xsum](https://huggingface.co/datasets/xsum) dataset by
@dishant16
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-xsum-6cd6bf3a-11245505).\
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).
README.md
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@@ -7,7 +7,40 @@ metrics:
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- rouge
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model-index:
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- name: summarization_ilpost
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results:
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datasets:
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- ARTeLab/ilpost
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---
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- rouge
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model-index:
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- name: summarization_ilpost
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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: 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: 12.1495
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verified: true
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- name: ROUGE-2
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type: rouge
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value: 1.6326
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verified: true
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- name: ROUGE-L
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type: rouge
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value: 10.493
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verified: true
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- name: ROUGE-LSUM
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type: rouge
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value: 10.5515
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verified: true
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- name: loss
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type: loss
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value: 2.5110762119293213
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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: 18.9924
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verified: true
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datasets:
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- ARTeLab/ilpost
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---
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