R

Roberta Large Bne Sqac

Developed by PlanTL-GOB-ES
This is a RoBERTa large model optimized for Spanish question answering tasks, trained on a large corpus from the Spanish National Library
Downloads 966
Release Time : 3/2/2022

Model Overview

This model is specifically designed for Spanish extractive question answering tasks, fine-tuned from the roberta-large-bne model

Model Features

Large-scale pre-training
Trained on 570GB of cleaned Spanish web text data
Question answering optimization
Specifically fine-tuned for the SQAC Spanish question answering dataset
High performance
Achieves an F1 score of 82.02 on the SQAC test set, outperforming other Spanish language models

Model Capabilities

Spanish text understanding
Extractive question answering
Context understanding

Use Cases

Question Answering Systems
Spanish FAQ system
Building a Spanish-language frequently asked questions system
Can accurately extract answers from given text
Educational applications
Used for question answering features in Spanish learning applications
Helps students obtain accurate answers from learning materials
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase