Add evaluation results on the squad_v2 config and validation split of squad_v2
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the squad_v2 config and validation split of the [squad_v2](https://huggingface.co/datasets/squad_v2) dataset by
@lewtun
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-squad_v2-squad_v2-e15d25-1483654272).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=squad_v2).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=squad_v2).
README.md
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@@ -14,6 +14,26 @@ model_index:
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name: squad
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type: squad
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args: plain_text
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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: squad
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type: squad
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args: plain_text
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model-index:
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- name: MYX4567/distilbert-base-uncased-finetuned-squad
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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: squad_v2
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type: squad_v2
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config: squad_v2
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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: 38.212
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verified: true
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- name: F1
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type: f1
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value: 42.5859
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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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