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Deberta V3 Large Boolq

Developed by nfliu
This model is a text classification model fine-tuned on the boolq dataset based on microsoft/deberta-v3-large, designed for answering boolean questions.
Downloads 32.15k
Release Time : 9/7/2023

Model Overview

This model is specifically designed for boolean question answering tasks, capable of determining the truthfulness of questions based on provided context.

Model Features

High Accuracy
Achieves 88.35% accuracy on the boolq validation set.
Based on DeBERTa-v3
Utilizes the advanced DeBERTa-v3-large architecture with powerful text comprehension capabilities.

Model Capabilities

Boolean Question Answering
Text Classification
Contextual Understanding

Use Cases

Q&A Systems
Fact Checking
Verify the truthfulness of statements based on provided context.
Accuracy reaches 88.35%
Automated Q&A
Answer questions that require yes/no responses.
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