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Modernbert QnA Base Squad

Developed by rankyx
A QA model fine-tuned on ModernBERT, excelling on the SQuAD dataset, suitable for extractive QA tasks.
Downloads 1,106
Release Time : 1/8/2025

Model Overview

This model is a QA system fine-tuned from answerdotai/ModernBERT-base, specifically optimized for the SQuAD dataset, capable of accurately extracting answers from given contexts.

Model Features

High-Accuracy QA
Achieves 92.59 F1 score and 86.45 exact match rate on the SQuAD dataset
Based on ModernBERT
Utilizes the ModernBERT architecture for enhanced language understanding
Easy Integration
Supports Hugging Face Transformers pipeline for quick deployment

Model Capabilities

Extractive QA
Text Understanding
Context Analysis

Use Cases

Education
Reading Comprehension Aid
Helps students quickly find answers from texts
Improves learning efficiency and comprehension
Customer Service
FAQ Auto-Response
Automatically extracts answers from knowledge base documents
Reduces manual customer service workload
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