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Xlm Roberta Large Finetuned Squad V2
A Q&A model fine-tuned on the squad_v2 dataset based on the xlm-roberta-large model
Downloads 67
Release Time : 3/2/2022
Model Overview
This model is a multilingual model optimized for Q&A tasks, capable of handling open-domain question answering tasks, including unanswerable questions (a feature of squad_v2).
Model Features
Multilingual Support
Based on the XLM-RoBERTa architecture, capable of handling multilingual Q&A tasks
squad_v2 Optimization
Specifically fine-tuned for the squad_v2 dataset, capable of handling complex Q&A scenarios including unanswerable questions
High Performance
Achieves a low loss value (0.4627) on the evaluation set, indicating good model performance
Model Capabilities
Open-domain Q&A
Multilingual Text Understanding
Question Answering (including unanswerable cases)
Use Cases
Intelligent Customer Service
Multilingual Customer Support
Used to handle common Q&A for customers in different languages
Can accurately identify questions and provide answers, or determine if a question is unanswerable
Educational Applications
Learning Assistance Q&A System
Helps students answer learning-related questions
Capable of handling complex learning questions and providing accurate answers
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