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xlm-roberta-large-vi-qa
ancs21/xlm-roberta-large-vi-qa
xlm-roberta-large-vi-qa is a question answering model from ancs21. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
- Language model: xlm-roberta-large - Fine-tune: deepset/xlm-roberta-large-squad2 - Language: Vietnamese - Downstream-task: Extractive QA - Dataset: mailong25/bert-vietnamese-question-answering
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 21, 2021
- SHA
- 99ede8b7
Try a prompt
Model card
From the Hugging Face model README
XLM-RoBERTa large for QA on Vietnamese languages (also support various languages)
Overview
- Language model: xlm-roberta-large
- Fine-tune: deepset/xlm-roberta-large-squad2
- Language: Vietnamese
- Downstream-task: Extractive QA
- Dataset: mailong25/bert-vietnamese-question-answering
- Training data: train-v2.0.json (SQuAD 2.0 format)
- Eval data: dev-v2.0.json (SQuAD 2.0 format)
- Infrastructure: 1x Tesla P100 (Google Colab)
Performance
Evaluated on dev-v2.0.json
exact: 136 / 141
f1: 0.9692671394799054
Evaluated on Vietnamese XQuAD: xquad.vi.json
exact: 604 / 1190
f1: 0.7224454217571596
Author
An Pham (ancs21.ps [at] gmail.com)
License
MIT
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Languages
- vi
- Created
- Mar 2, 2022
- Updated
- Sep 21, 2021