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Add evaluation results on the ARTeLab--mlsum-it config and test split of ARTeLab/mlsum-it
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the ARTeLab--mlsum-it config and test split of the [ARTeLab/mlsum-it](https://huggingface.co/datasets/ARTeLab/mlsum-it) dataset by
@morenolq
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-ARTeLab__mlsum-it-ARTeLab__mlsum-it-b0baa7-1904964782).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=ARTeLab/mlsum-it).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=ARTeLab/mlsum-it).
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_mlsum
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results:
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datasets:
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- ARTeLab/mlsum-it
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---
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- rouge
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model-index:
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- name: summarization_mlsum
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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: ARTeLab/mlsum-it
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type: ARTeLab/mlsum-it
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config: ARTeLab--mlsum-it
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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: 16.7798
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verified: true
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- name: ROUGE-2
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type: rouge
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value: 4.9339
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verified: true
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- name: ROUGE-L
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type: rouge
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value: 14.9335
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verified: true
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- name: ROUGE-LSUM
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type: rouge
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value: 14.9998
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verified: true
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- name: loss
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type: loss
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value: 1.9935904741287231
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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: 18.934
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verified: true
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datasets:
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- ARTeLab/mlsum-it
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---
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