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Deberta V3 Xsmall Squad2

Developed by nlpconnect
A question answering system model based on the DeBERTa-v3-xsmall architecture, specifically fine-tuned for the SQuAD2.0 dataset
Downloads 21
Release Time : 8/28/2022

Model Overview

This model is a reading comprehension model capable of locating answers to questions within given text passages and determining if questions are unanswerable. Suitable for building intelligent question answering systems.

Model Features

SQuAD2.0 Optimization
Specifically fine-tuned for the SQuAD2.0 dataset, capable of handling both answerable and unanswerable questions
Efficient Architecture
Based on the DeBERTa-v3-xsmall architecture, reducing computational resource requirements while maintaining performance
High Accuracy
Achieves 79.39% exact match and 82.67% F1 score on the SQuAD2.0 validation set

Model Capabilities

Text Understanding
Question Answering
Unanswerable Question Detection

Use Cases

Intelligent Customer Service
Automated Q&A System
Building a customer service system that automatically answers user questions
Can accurately answer questions based on document content
Education
Reading Comprehension Assistance
Helping students understand text content and answer questions
Provides accurate answer localization and explanations
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