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Add evaluation results on the adversarialQA config and validation split 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 and validation split of the [adversarial_qa](https://huggingface.co/datasets/adversarial_qa) dataset by
@saad
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-b079e4-1737160612).\
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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@@ -6,7 +6,24 @@ datasets:
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- squad
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model-index:
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- name: distilbert-base-uncased-finetuned-squad-colab
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results:
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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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- squad
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model-index:
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- name: distilbert-base-uncased-finetuned-squad-colab
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results:
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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: 16.9667
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verified: true
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- name: F1
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type: f1
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value: 27.7087
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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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