distilbert-base-uncased-holtin-finetuned-squad Open-Source Question Answering Model

Distilbert Base Uncased Holtin Finetuned Squad

Developed by holtin

This model is a fine-tuned version of the DistilBERT base model on the SQuAD 2.0 question answering dataset, designed for QA tasks.

Downloads 15

Release Time : 3/14/2022

Model Overview

This is a DistilBERT model fine-tuned on the SQuAD 2.0 question answering dataset, specifically designed to answer questions based on given contexts.

Efficient Question Answering

Based on the DistilBERT architecture, it significantly reduces model size and computational requirements while maintaining high accuracy.

SQuAD 2.0 Optimization

Specifically fine-tuned for the SQuAD 2.0 QA dataset, capable of handling unanswerable questions.

Lightweight

Compared to the original BERT model, it has 40% fewer parameters and faster inference speed.

Reading Comprehension

Question Answering System

Text Understanding

Context Analysis

Education

Automated Answering System

Helps students quickly find answers to questions from textbooks.

Customer Service

FAQ Auto-Response

Automatically answers common customer questions based on knowledge base documents.

Training Loss	Epoch	Step	Validation Loss
No log	1.0	84	4.4978
No log	2.0	168	3.9588
No log	3.0	252	3.8541

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base