DistilBERT Base Uncased Finetuned SQuAD Open-Source QA Model - Lightweight, Free, and Precise Question Answering

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Distilbert Base Uncased Finetuned Squad

Developed by shizil

Lightweight Q&A model based on DistilBERT, fine-tuned on the SQuAD dataset

Question Answering System

Transformers

Open Source License:Apache-2.0 #Q&A System #Reading Comprehension #Lightweight BERT

Downloads 15

Release Time : 11/16/2022

Model Overview

This model is a fine-tuned version of DistilBERT, specifically designed for Q&A tasks. It retains the lightweight characteristics of the original DistilBERT while being optimized for Q&A tasks.

Model Features

Lightweight and Efficient

Based on the DistilBERT architecture, it is 40% smaller and 60% faster than standard BERT models while retaining 97% of the performance

Q&A Optimized

Fine-tuned on the SQuAD dataset, specifically optimized for Q&A tasks

Low Resource Requirements

Requires fewer computational resources for training and inference compared to full BERT models

Model Capabilities

Reading Comprehension

Question Answering

Text Understanding

Use Cases

Education

Automated Answering System

Used to build educational Q&A systems to answer students' questions about textbook content

Customer Service

FAQ Auto-Response

Integrated into customer service systems to automatically answer frequently asked questions

Training Loss	Epoch	Step	Validation Loss
2.7098	1.0	5681	2.3952
2.3633	2.0	11362	1.9956
2.1293	3.0	17043	1.8489

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Distilbert Base Uncased Finetuned Squad

Model Overview

Model Features

Model Capabilities

Use Cases

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