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Distilbert Base Uncased Finetuned Squad

Developed by BillZou
This model is a question-answering model fine-tuned on the SQuAD dataset based on DistilBERT, designed for reading comprehension tasks.
Downloads 14
Release Time : 11/8/2022

Model Overview

A lightweight version of DistilBERT, fine-tuned on the SQuAD dataset, used to answer questions based on given text.

Model Features

Lightweight
Based on the DistilBERT architecture, it is smaller and faster than the standard BERT model while maintaining high performance.
Question Answering Capability
Fine-tuned on the SQuAD dataset, capable of answering questions based on given text.
Efficient Training
Uses linear learning rate scheduling and the Adam optimizer for efficient training.

Model Capabilities

Text Understanding
Question Answering
Reading Comprehension

Use Cases

Education
Reading Comprehension Assistance
Helps students understand article content and answer questions.
Customer Service
FAQ Auto-Response
Automatically answers common questions based on document content.
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