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Bart Base Few Shot K 64 Finetuned Squad Seed 0
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Bart Base Few Shot K 64 Finetuned Squad Seed 0

Developed by anas-awadalla
A fine-tuned version of the facebook/bart-base model on the SQuAD dataset, suitable for question-answering tasks
Question Answering System
Transformers
Open Source License:Apache-2.0#QA System Fine-tuning#Few-shot Learning#Reading Comprehension Optimization
Downloads 13
Release Time : 9/30/2022

Model Overview

This model is a fine-tuned version based on the BART-base architecture on the SQuAD question-answering dataset, primarily used for reading comprehension tasks.

Model Features

Few-shot Learning
The model employs a few-shot learning strategy (k=64) for fine-tuning, making it suitable for scenarios with limited data.
SQuAD Dataset Fine-tuning
Fine-tuned on the well-known SQuAD question-answering dataset, it possesses strong reading comprehension capabilities.

Model Capabilities

Reading Comprehension
Question Answering
Text Understanding

Use Cases

Education
Automated Answering System
Automatically answers related questions based on given text content
Customer Service
FAQ Auto-answering
Automatically answers common customer questions based on knowledge base content
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