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Electra Small Finetuned Squadv2

Developed by mrm8488
A Q&A model fine-tuned on the SQuAD v2.0 dataset based on Electra-small-discriminator, suitable for distinguishing answerable from unanswerable questions
Downloads 51
Release Time : 3/2/2022

Model Overview

This model is optimized via ELECTRA pre-training method, specifically designed for Q&A tasks, capable of determining whether a passage supports an answer and remaining restrained when no answer exists

Model Features

Adversarial Training Advantage
Utilizes ELECTRA's adversarial training method, distinguishing real from generated tokens during pre-training, with high computational efficiency
Unanswerable Question Handling
Specifically optimized for scenarios with unanswerable questions in SQuAD v2.0, accurately determining when to remain restrained
Lightweight Model
A compact model of only 50MB, ideal for deployment in resource-constrained environments

Model Capabilities

Text Understanding
Question Answering
Answer Confidence Judgment

Use Cases

Education
Smart Learning Assistant
Helps students quickly find answers to questions from textbooks
Accuracy 69.71% (EM)
Customer Service
Automated Q&A System
Handles common customer inquiries and identifies unanswerable queries
F1 score 73.44%
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