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Distilbert Base Uncased Finetuned Squad
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Distilbert Base Uncased Finetuned Squad

Developed by hark99
A question-answering model based on DistilBERT, fine-tuned on the SQuAD dataset for reading comprehension tasks
Question Answering System
Transformers
Open Source License:Apache-2.0#Q&A System#Reading Comprehension#Lightweight BERT
Downloads 20
Release Time : 3/2/2022

Model Overview

This model is a lightweight version of DistilBERT, fine-tuned on the SQuAD question-answering dataset, specifically designed to answer questions based on given text.

Model Features

Lightweight and Efficient
Based on the DistilBERT architecture, it is 40% smaller than the standard BERT model while retaining 97% of its performance.
Specialized for Q&A
Fine-tuned specifically on the SQuAD dataset, excelling at extracting answers from given text.
Fast Inference
Faster inference speed compared to the full BERT model, suitable for production environment deployment.

Model Capabilities

Text Understanding
Q&A System
Reading Comprehension

Use Cases

Education
Automated Answering System
Helps students quickly find answers to questions from textbooks.
Customer Service
FAQ Auto-Response
Extracts answers from knowledge base documents to respond to customer inquiries.
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