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# CSQA_DeBERTaV3 | ||
The implementation of DeBERTaV3-based commonsense question answering on CommonsenseQA. | ||
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# Configuration | ||
python==3.8.5\ | ||
numpy==1.20.1\ | ||
torch==1.9.1+cu102\ | ||
transformers==4.10.0\ | ||
tqdm==4.62.2 | ||
# Environment | ||
python=3.8.5\ | ||
numpy=1.20.1\ | ||
torch=1.9.1+cu102\ | ||
transformers=4.10.0\ | ||
tqdm=4.62.2 | ||
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# Citation | ||
The initial DeBERTaV3:\ | ||
```bib | ||
@misc{he2021debertav3, | ||
title={DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing}, | ||
author={Pengcheng He and Jianfeng Gao and Weizhu Chen}, | ||
year={2021}, | ||
eprint={2111.09543}, | ||
archivePrefix={arXiv}, | ||
primaryClass={cs.CL} | ||
} | ||
``` |