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Bert Base Uncased Squad V2.0 Finetuned
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Bert Base Uncased Squad V2.0 Finetuned

Developed by kamalkraj
This model is a fine-tuned version of bert-base-uncased on the squad_v2 dataset, suitable for question-answering tasks.
Question Answering System
Transformers
Open Source License:Apache-2.0#Q&A System#Reading Comprehension#BERT Fine-tuning
Downloads 84
Release Time : 5/31/2022

Model Overview

A fine-tuned version of the BERT base model on the SQuAD 2.0 question-answering dataset, capable of handling QA scenarios including unanswerable questions.

Model Features

SQuAD 2.0 Fine-tuning
Optimized specifically for the SQuAD 2.0 dataset, capable of handling complex QA scenarios including unanswerable questions.
BERT Base Architecture
Based on the powerful BERT-base architecture, with excellent language understanding capabilities.
Efficient Training
Uses mixed-precision training and the Adam optimizer for high training efficiency.

Model Capabilities

Q&A System
Text Understanding
Context Analysis

Use Cases

Education
Automated Q&A System
Used to build automated Q&A systems in the education sector to answer student questions.
Customer Service
Intelligent Customer Service
Used to build customer service systems that automatically answer common questions.
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