Add evaluation results on the adversarialQA config of adversarial_qa
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the adversarialQA config of the [adversarial_qa](https://huggingface.co/datasets/adversarial_qa) dataset by
@ceyda
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-adversarial_qa-e34332b7-12205625).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=adversarial_qa).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=adversarial_qa).
README.md
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@@ -25,6 +25,23 @@ model-index:
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type: f1
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value: 84.8886
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verified: true
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---
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# Multilingual XLM-RoBERTa large for QA on various languages
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type: f1
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value: 84.8886
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verified: true
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- task:
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type: question-answering
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name: Question Answering
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dataset:
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name: adversarial_qa
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type: adversarial_qa
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config: adversarialQA
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split: validation
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metrics:
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- name: Exact Match
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type: exact_match
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value: 30.2333
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verified: true
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- name: F1
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type: f1
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value: 43.3606
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verified: true
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---
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# Multilingual XLM-RoBERTa large for QA on various languages
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