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Roberta Base Few Shot K 1024 Finetuned Squad Seed 4
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Roberta Base Few Shot K 1024 Finetuned Squad Seed 4
Developed by anas-awadalla
A QA model fine-tuned on the SQuAD dataset based on RoBERTa-base, suitable for reading comprehension tasks
Downloads 19
Release Time : 3/2/2022
Model Overview
This model is based on the RoBERTa-base architecture and fine-tuned with a small number of samples (k=1024) on the SQuAD QA dataset, primarily used for QA system development
Model Features
Few-shot Fine-tuning
Fine-tuned with a small number of training samples (k=1024), suitable for resource-limited scenarios
Based on RoBERTa Architecture
Utilizes the powerful RoBERTa pre-trained model as its foundation, with excellent language understanding capabilities
Optimized for SQuAD Dataset
Specifically optimized for the SQuAD QA dataset, performing well on reading comprehension tasks
Model Capabilities
Reading Comprehension
Question Answering
Text Understanding
Use Cases
Education
Automated Answering System
Helps students quickly find answers to questions within a text
Customer Service
FAQ Auto-Response
Automatically answers common customer questions based on knowledge base documents
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