Open-source Question-Answering Model distilbert-base-uncased-finetuned-squad - Optimize the Question-Answering Experience Based on the SQuAD Dataset

Distilbert Base Uncased Finetuned Squad

Developed by haddadalwi

A question-answering model fine-tuned on the squad_v2 dataset based on the distilbert-base-uncased model

Downloads 17

Release Time : 7/3/2022

Model Overview

This model is a fine-tuned version of DistilBERT, specifically designed for question-answering tasks and optimized on the SQuAD v2 dataset.

Efficient Question Answering

Optimized for question-answering tasks, capable of efficiently handling text-based question answering.

Lightweight Model

Based on the DistilBERT architecture, it is more lightweight compared to the original BERT model while maintaining good performance.

Text Understanding

Question Answering

Context Analysis

Education

Automated Answering System

Used to build automated answering systems in the education field, helping students quickly obtain answers to questions.

Customer Service

Intelligent Customer Service

Can be used to build intelligent customer service systems to automatically answer common customer questions.

Training Loss	Epoch	Step	Validation Loss
No log	1.0	10	5.6821
No log	2.0	20	5.5273

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