README.md

metadata

language:
  - en
tags:
  - question-answering
license: apache-2.0
datasets:
  - adversarial_qa
  - mbartolo/synQA
  - squad
metrics:
  - exact_match
  - f1

Model Overview

This is a RoBERTa-Large QA Model trained from https://huggingface.co/roberta-large in two stages. First, it is trained on synthetic adversarial data generated using a BART-Large question generator on Wikipedia passages from SQuAD, 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.