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Bart Base Few Shot K 256 Finetuned Squad Seed 4

Developed by anas-awadalla
This model is a fine-tuned version of facebook/bart-base on the SQuAD dataset, suitable for question answering tasks.
Downloads 13
Release Time : 9/30/2022

Model Overview

A question answering model based on the BART-base architecture, fine-tuned on the SQuAD dataset for generative QA tasks.

Model Features

Few-shot learning capability
The model adopts a few-shot learning strategy (k=256), making it suitable for scenarios with limited data.
SQuAD fine-tuning
Specially optimized on the authoritative QA dataset SQuAD.
Deterministic training
Uses a fixed random seed (seed=4) to ensure experiment reproducibility.

Model Capabilities

Question answering generation
Context understanding
Text generation

Use Cases

Education
Automated answer system
Automatically answers student questions based on textbook content
Customer service
Intelligent QA assistant
Automatically responds to customer inquiries based on a knowledge base
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