AIbase
EN
Home
Roberta Base Few Shot K 256 Finetuned Squad Seed 6
R

Roberta Base Few Shot K 256 Finetuned Squad Seed 6

Developed by anas-awadalla
A question-answering model fine-tuned on the SQuAD dataset based on RoBERTa-base, suitable for reading comprehension tasks
Question Answering System
Transformers
Open Source License:MIT#Few-shot QA System#RoBERTa Fine-tuning#SQuAD Adaptation
Downloads 20
Release Time : 3/2/2022

Model Overview

This model is based on the RoBERTa-base architecture and fine-tuned on the SQuAD QA dataset using a few-shot learning approach (k=256), primarily designed for question-answering and reading comprehension tasks

Model Features

Few-shot Fine-tuning
Utilizes a k=256 few-shot learning strategy for fine-tuning, potentially offering better adaptation to small datasets
RoBERTa-base Architecture
Based on the powerful RoBERTa-base pre-trained model with excellent text comprehension capabilities
SQuAD Dataset Optimization
Specifically optimized for the SQuAD QA dataset, making it ideal for reading comprehension tasks

Model Capabilities

Question Answering
Reading Comprehension
Text Understanding
Answer Extraction

Use Cases

Education
Automated Answering System
Helps students quickly find answers from textual materials
Customer Service
FAQ Auto-Response
Automatically extracts answers from knowledge base documents
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