transformers pytorch roberta multiple-choice en dataset:social_i_qa arxiv:2112.01922 endpoints_compatible region:us
---
datasets:
- social_i_qa
language:
- en
metrics:
- accuracy
---


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RoBERTa Large trained on Social Interaction QA dataset using HuggingFace's Script for training Multiple Choice QA models.
The model was trained for the EACL 2023 paper: MetaQA: Combining Expert Agents for Multi-Skill Question Answering. More information on: https://arxiv.org/abs/2112.01922
The average performance of five models trained with different random seeds on the on the test set is 74.17 ± 0.64