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Xlm Roberta Large Vi Qa
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Xlm Roberta Large Vi Qa

Developed by ancs21
Vietnamese question answering model fine-tuned based on xlm-roberta-large, supporting extractive question answering tasks
Question Answering System
Transformers
 OtherOpen Source License:MIT#Vietnamese Q&A#Multilingual Support#High-precision Extraction
Downloads 28
Release Time : 3/2/2022

Model Overview

This model is a Vietnamese question answering model fine-tuned on the xlm-roberta-large architecture, specifically designed for handling extractive question answering tasks in Vietnamese. It performs exceptionally well on Vietnamese question answering datasets, achieving an F1 score of 0.969.

Model Features

Multilingual Support
Based on the XLM-RoBERTa architecture, capable of handling multilingual tasks
High-precision Vietnamese Q&A
Achieves an F1 score of 0.969 on Vietnamese question answering tasks, demonstrating excellent performance
Transfer Learning Capability
Fine-tuned based on deepset/xlm-roberta-large-squad2, with strong transfer learning capabilities

Model Capabilities

Vietnamese Text Understanding
Extractive Question Answering
Multilingual Processing

Use Cases

Question Answering Systems
Vietnamese FAQ System
Building an automatic answer system for Vietnamese frequently asked questions
Achieved an exact match rate of 136/141 on the dev dataset
Document Information Extraction
Extracting answers to specific questions from Vietnamese documents
Achieved an F1 score of 0.969
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