bart-base-few-shot-k-64-finetuned-squad-seed-2 Open-source Question Answering Model

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Bart Base Few Shot K 64 Finetuned Squad Seed 2

Developed by anas-awadalla

A question-answering model fine-tuned on the SQuAD dataset based on facebook/bart-base

Question Answering System

Transformers

Open Source License:Apache-2.0 #Few-shot Fine-tuning #Reading Comprehension #Low-resource Optimization

Downloads 13

Release Time : 9/30/2022

Model Overview

This model is a pre-trained model based on the BART architecture, fine-tuned on the SQuAD question-answering dataset, suitable for question-answering tasks.

Model Features

Few-shot Fine-tuning

Fine-tuned on limited data using few-shot learning strategy

BART-based Architecture

Utilizes BART's sequence-to-sequence architecture, suitable for generation tasks

SQuAD Dataset Optimization

Specifically optimized for the SQuAD question-answering dataset

Model Capabilities

Question Answering Generation

Reading Comprehension

Text Generation

Use Cases

Education

Automated Answering System

Answers user questions based on given text content

Information Retrieval

Document Question Answering

Extracts information from documents to answer user queries

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Bart Base Few Shot K 64 Finetuned Squad Seed 2

Model Overview

Model Features

Model Capabilities

Use Cases

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