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Electra Base Squad2

Developed by bhadresh-savani
This is an English extractive question answering model based on the ELECTRA-base architecture, trained on the SQuAD 2.0 dataset, suitable for question answering tasks.
Downloads 102
Release Time : 4/13/2022

Model Overview

This model uses the ELECTRA-base architecture and is specifically designed for English extractive question answering tasks. It can extract answers from given text or determine if a question is unanswerable.

Model Features

High-performance Question Answering
Achieves an F1 score of 81.35 on the SQuAD 2.0 development set, demonstrating excellent performance.
Supports Unanswerable Questions
Capable of handling unanswerable questions and performs well on such cases.
Multi-framework Support
Compatible with various frameworks including Transformers, FARM, and Haystack.

Model Capabilities

Text Understanding
Question Answering
Unanswerable Question Detection

Use Cases

Intelligent Customer Service
Automated Customer Query Responses
Automatically extracts answers to customer questions from knowledge base documents
Improves customer service efficiency and reduces manual intervention
Educational Assistance
Learning Material Q&A
Helps students quickly find answers to questions from textbook content
Enhances learning efficiency
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