R

Roberta Base Bne Squad 2.0 Es

Developed by jamarju
A RoBERTa-based Spanish Q&A model fine-tuned on the squad_es dataset, suitable for Spanish reading comprehension tasks
Downloads 20
Release Time : 3/2/2022

Model Overview

This model is fine-tuned from BSC-TeMU's roberta-base-bne model on the Spanish Q&A dataset squad_es, specifically designed for Spanish reading comprehension tasks, capable of answering questions based on given texts.

Model Features

Spanish Optimization
Based on the roberta-base-bne model specifically pre-trained for Spanish
Excellent Q&A Performance
Achieved EM=58.80, F1=67.40 on the squad_es dataset
Long Text Processing Capability
Supports sequences up to 384 tokens with a document stride of 128

Model Capabilities

Spanish reading comprehension
Context-based question answering
Text information extraction

Use Cases

Education
Historical Knowledge Q&A
Answering questions based on historical texts
As shown in the example, it can accurately answer questions like 'Who was the duke in the Battle of Hastings?'
Information Retrieval
Document Understanding System
Extracting key information from long documents to answer user queries
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase