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Distilbert Base Uncased 3feb 2022 Finetuned Squad
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Distilbert Base Uncased 3feb 2022 Finetuned Squad

Developed by sunitha
This model is a fine-tuned version of the DistilBERT base model on the SQuAD question answering dataset, designed for question answering tasks.
Question Answering System
Transformers
Open Source License:Apache-2.0#Question Answering System#Reading Comprehension#Lightweight BERT
Downloads 26
Release Time : 3/2/2022

Model Overview

A lightweight version of DistilBERT, fine-tuned on the SQuAD dataset, suitable for natural language processing tasks such as question answering systems.

Model Features

Lightweight Model
Based on the DistilBERT architecture, it is smaller and faster than the original BERT model while maintaining good performance.
Optimized for Question Answering
Fine-tuned on the SQuAD dataset, specifically optimized for question answering tasks.
Efficient Training
Achieves good results with just 3 epochs of training, offering high training efficiency.

Model Capabilities

Question Answering System
Reading Comprehension
Text Understanding

Use Cases

Education
Automated Answering System
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 Q&A modules in intelligent customer service systems to automatically answer common questions.
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