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Roberta Base Few Shot K 1024 Finetuned Squad Seed 0

Developed by anas-awadalla
QA model fine-tuned on the SQuAD dataset based on roberta-base
Downloads 19
Release Time : 3/2/2022

Model Overview

This model is based on the RoBERTa-base architecture and fine-tuned on the SQuAD QA dataset, suitable for question answering tasks.

Model Features

Based on RoBERTa architecture
Uses the powerful RoBERTa-base pre-trained model as the base architecture
SQuAD fine-tuning
Fine-tuned on the SQuAD QA dataset, optimizing question answering performance
Few-shot learning
Supports few-shot learning (k=1024)

Model Capabilities

Question answering system
Reading comprehension
Text understanding

Use Cases

Education
Automatic question answering system
Can be used to build automatic question answering systems in the education field
Customer service
Intelligent customer service QA
Can be used to build automated QA systems in customer service
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