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metadata
language: en
license: mit
model-index:
  - name: roberta-finetuned
    results:
      - task:
          type: question-answering
        dataset:
          name: SQuAD v2
          type: squad_v2
        metrics:
          - type: Exact
            value: 37.40419439063421
          - type: F1
            value: 40.42817816263742
          - type: Total
            value: 11873
          - type: Hasans Exact
            value: 72.58771929824562
          - type: Hasans F1
            value: 78.64435886049151
          - type: Hasans Total
            value: 5928
          - type: Noans Exact
            value: 2.3212783851976453
          - type: Noans F1
            value: 2.3212783851976453
          - type: Noans Total
            value: 5945
          - type: Best Exact
            value: 50.09685841825992
          - type: Best Exact Thresh
            value: 0
          - type: Best F1
            value: 50.09685841825992
          - type: Best F1 Thresh
            value: 0

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  • Language(s) (NLP): en
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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