AIbase
EN
Home
Roberta Base Finetuned Squad
R

Roberta Base Finetuned Squad

Developed by janeel
A question-answering model fine-tuned on the SQuAD 2.0 dataset based on RoBERTa-base, designed to answer questions based on given text
Question Answering System
Transformers
Open Source License:MIT#Question Answering System#Reading Comprehension#SQuAD Fine-tuning
Downloads 16
Release Time : 6/18/2022

Model Overview

This model is a fine-tuned version of the RoBERTa-base architecture on the SQuAD 2.0 dataset, specifically designed for question-answering tasks. It can answer questions based on provided context, including unanswerable questions.

Model Features

Powerful Performance Based on RoBERTa
Leverages the strong language understanding capabilities of RoBERTa-base, delivering excellent performance on question-answering tasks
Supports Unanswerable Questions
Capable of identifying and responding to questions that cannot be answered based on the given context
Efficient Fine-tuning
Fine-tuned for two epochs on the SQuAD 2.0 dataset with a validation loss of 0.8556

Model Capabilities

Reading Comprehension
Question Answering System
Text Understanding
Context Analysis

Use Cases

Education
Automated Answering System
Automatically answers student questions based on textbook content
Customer Service
FAQ Auto-Response
Automatically answers common customer questions based on product documentation
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase