distilbert-base-uncased-finetuned-squad Open-Source Model - Free Deployment to Assist with Q&A Tasks

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Distilbert Base Uncased Finetuned Squad

Developed by aaraki

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

Question Answering System

Transformers

Open Source License:Apache-2.0 #Question Answering System #Reading Comprehension #Lightweight BERT

Downloads 16

Release Time : 3/14/2022

Model Overview

This is an optimized question-answering model based on the DistilBERT architecture, fine-tuned on the SQuAD dataset, capable of answering questions based on given text.

Model Features

Efficient Question Answering

Fine-tuned on the SQuAD dataset, capable of accurately answering text-based questions

Lightweight Model

Based on the DistilBERT architecture, smaller and faster than the full BERT model

English-Optimized

Specifically optimized for English question-answering tasks

Model Capabilities

Text Understanding

Question Answering

Context Extraction

Use Cases

Education

Reading Comprehension Assistance

Helps students understand article content and answer questions

Improves reading comprehension efficiency

Customer Service

FAQ Auto-Response

Automatically answers common customer questions based on knowledge base documents

Reduces manual customer service workload

Training Loss	Epoch	Step	Validation Loss
1.2636	1.0	5533	1.2248

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Distilbert Base Uncased Finetuned Squad

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 DistilBERT Base Uncased Fine-tuned on SQuAD

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

📄 License