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Distilbert Base Uncased Finetuned Squad
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Distilbert Base Uncased Finetuned Squad

Developed by nikcook
This model is a lightweight version based on DistilBERT, fine-tuned on the SQuAD question-answering dataset for Q&A 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 fine-tuned version of DistilBERT, specifically optimized for question-answering tasks. It can answer related questions given a context.

Model Features

Lightweight Model
Based on the DistilBERT architecture, it is smaller and faster than the standard BERT model while maintaining most of its performance.
Optimized for Q&A Tasks
Specially fine-tuned on the SQuAD dataset, making it suitable for building Q&A systems.
Efficient Training
Achieves good performance with just 3 epochs of training, reducing training loss from 1.2199 to 0.7636.

Model Capabilities

Reading Comprehension
Q&A System
Text Understanding

Use Cases

Education
Automated Answering System
Can be used to build automated answering systems in the education sector, helping students quickly obtain answers to questions.
Customer Service
Intelligent Customer Service Q&A
Can be used to build automated Q&A modules in customer service systems to quickly answer common questions.
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