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Bge Micro V2

Developed by TaylorAI
bge_micro is a lightweight model focused on sentence similarity calculation, suitable for various natural language processing tasks.
Downloads 248.53k
Release Time : 10/11/2023

Model Overview

This model is primarily used for sentence similarity calculation and feature extraction, capable of converting input sentences into high-dimensional vector representations for subsequent similarity comparison and classification tasks.

Model Features

Lightweight Design
The model has a small size, making it suitable for deployment in resource-constrained environments.
Multi-task Support
Supports various natural language processing tasks such as sentence similarity calculation, feature extraction, and classification.
High Performance
Performs excellently on multiple standard datasets, such as the MTEB evaluation set.

Model Capabilities

Sentence similarity calculation
Feature extraction
Text classification
Information retrieval
Clustering analysis

Use Cases

E-commerce
Product Review Classification
Sentiment classification of Amazon product reviews
Achieved 79.75% accuracy on the MTEB AmazonPolarityClassification dataset
Counterfactual Review Detection
Identifying counterfactual reviews on the Amazon platform
Achieved 67.76% accuracy on the MTEB AmazonCounterfactualClassification dataset
Financial Services
Bank Customer Service Question Classification
Automatic classification of bank customer inquiries
Achieved 81.17% accuracy on the MTEB Banking77Classification dataset
Academic Research
Paper Clustering
Topic clustering of arXiv and biorxiv papers
Achieved a V-measure of 44.53 on the MTEB ArxivClusteringP2P dataset
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