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Bert Base Cased Finetuned Qqp

Developed by gchhablani
A text classification model fine-tuned on GLUE QQP dataset based on bert-base-cased, used to compare performance differences between fnet-base and bert-base-cased
Downloads 255
Release Time : 3/2/2022

Model Overview

This model is a BERT variant fine-tuned on the GLUE QQP (Quora Question Pairs) dataset, primarily used to determine whether two questions are semantically identical.

Model Features

High-performance Text Matching
Achieves 90.8% accuracy and 87.7% F1 score on QQP dataset
Based on BERT Architecture
Utilizes the proven BERT-base-cased architecture with strong semantic understanding capabilities
Comparative Research Purpose
Specifically designed for performance comparison studies with FNet models

Model Capabilities

Text Classification
Semantic Similarity Judgment
Question Pair Matching

Use Cases

Q&A Systems
Duplicate Question Detection
Identifying duplicate questions on Q&A platforms
90.8% accuracy
Information Retrieval
Query Expansion
Expanding search results by identifying semantically similar questions
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