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README.md
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- type: f1
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value: 93.924
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name: F1
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---
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# deberta-v3-base for Extractive QA
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- type: f1
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value: 93.924
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name: F1
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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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- type: exact_match
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value: 24.633
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name: Exact Match
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- type: f1
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value: 34.011
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name: F1
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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_adversarial
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type: squad_adversarial
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config: AddOneSent
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split: validation
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metrics:
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- type: exact_match
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value: 73.027
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name: Exact Match
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- type: f1
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value: 77.432
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name: F1
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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: squadshifts
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type: squadshifts
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config: amazon
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split: test
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metrics:
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- type: exact_match
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value: 64.320
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name: Exact Match
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- type: f1
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value: 75.584
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name: F1
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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: squadshifts
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type: squadshifts
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config: new_wiki
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split: test
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metrics:
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- type: exact_match
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value: 79.315
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name: Exact Match
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- type: f1
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value: 87.498
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name: F1
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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: squadshifts
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type: squadshifts
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config: nyt
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split: test
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metrics:
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- type: exact_match
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value: 81.162
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name: Exact Match
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- type: f1
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value: 88.123
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name: F1
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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: squadshifts
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type: squadshifts
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config: reddit
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split: test
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metrics:
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- type: exact_match
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value: 60.277
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name: Exact Match
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- type: f1
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value: 68.808
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name: F1
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---
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# deberta-v3-base for Extractive QA
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