Multilingual-BERT-Finetuned-XQuAD: An Open-Source Multilingual Question-Answering Model - Free Implementation of Question Answering in Multiple Languages

Multilingual Bert Finetuned Xquad

Developed by ritwikm

A multilingual Q&A model fine-tuned on the xquad dataset based on bert-base-multilingual-cased

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Release Time : 12/14/2022

Model Overview

This model is a fine-tuned version of the multilingual BERT model on the xquad Q&A dataset, suitable for multilingual question-answering tasks.

Multilingual Support

Based on bert-base-multilingual-cased model, supports Q&A tasks in multiple languages

Q&A Task Optimization

Fine-tuned on the xquad Q&A dataset, specifically optimized for question-answering performance

Efficient Training

Uses mixed-precision training (native AMP) and Adam optimizer for high training efficiency

Multilingual Text Understanding

Question Answering System

Contextual Understanding

Intelligent Customer Service

Multilingual Customer Support

Used for handling FAQ responses for customers in different languages

Education

Language Learning Assistance

Helps students understand textual content in different languages

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