Deberta V3 Xsmall Squad2
A question answering system model based on the DeBERTa-v3-xsmall architecture, specifically fine-tuned for the SQuAD2.0 dataset
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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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