readme: ---
  language:
  - en
  tags:
  - question-answering
  license: "apache-2.0"
  datasets:
  - adversarial_qa
  - mbartolo/synQA
  - squad
  metrics:
  - exact_match
  - f1
  model-index:
  - name: mbartolo/electra-large-synqa
    results:
    - task:
        type: question-answering
        name: Question Answering
      dataset:
        name: squad
        type: squad
        config: plain_text
        split: validation
      metrics:
      - name: Exact Match
        type: exact_match
        value: 89.4158
        verified: true
      - name: F1
        type: f1
        value: 94.7851
        verified: true
  ---
  
  # Model Overview
  This is an ELECTRA-Large QA Model trained from https://huggingface.co/google/electra-large-discriminator in two stages. First, it is trained on synthetic adversarial data generated using a BART-Large question generator, and then it is trained on SQuAD and AdversarialQA (https://arxiv.org/abs/2002.00293) in a second stage of fine-tuning.
  
  # Data
  Training data: SQuAD + AdversarialQA
  Evaluation data: SQuAD + AdversarialQA
  
  # Training Process
  Approx. 1 training epoch on the synthetic data and 2 training epochs on the manually-curated data.
  
  # Additional Information
  Please refer to https://arxiv.org/abs/2104.08678 for full details. You can interact with the model on Dynabench here: https://dynabench.org/models/109