bart-base-few-shot-k-256-finetuned-squad-seed-0 Open-source Q&A Model - Precise Answers to All Kinds of Questions

Bart Base Few Shot K 256 Finetuned Squad Seed 0

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 model based on the BART-base architecture, fine-tuned on the SQuAD dataset, primarily used for question-answering tasks.

BART-based Architecture

Utilizes the BART-base pre-trained model architecture, offering robust sequence-to-sequence learning capabilities.

SQuAD Fine-tuning

Fine-tuned on the SQuAD question-answering dataset, optimizing performance for QA tasks.

Few-shot Learning

Supports few-shot learning (k=256), adapting to scenarios with limited training data.

Question Answering Generation

Text Understanding

Contextual Reasoning

Question Answering Systems

Reading Comprehension QA

Answering related questions based on given text content

Knowledge Base QA

Extracting answers from structured or unstructured knowledge bases

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