---
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