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Embeddingmodlebgelargeenv1.5

Developed by binqiangliu
BGE Large English v1.5 is a high-performance sentence transformer model, focusing on sentence feature extraction and similarity computation.
Text Embedding
Transformers
 EnglishOpen Source License:MIT#Multitask Sentence Embedding#High-Precision Text Classification#Cross-Domain Retrieval Optimization
Downloads 19
Release Time : 11/19/2023

Model Overview

This model is primarily used for sentence embedding and text similarity computation, supporting various natural language processing tasks such as classification, clustering, and retrieval.

Model Features

High-Performance Sentence Embedding
Capable of generating high-quality sentence embeddings suitable for various downstream tasks.
Multitask Support
Supports multiple natural language processing tasks such as classification, clustering, and retrieval.
High Accuracy
Outstanding performance in multiple benchmarks, e.g., achieving 92.42% accuracy in AmazonPolarity classification.

Model Capabilities

Sentence feature extraction
Text similarity computation
Text classification
Text clustering
Information retrieval

Use Cases

E-commerce
Product Review Classification
Sentiment polarity classification for Amazon product reviews.
Accuracy 92.42%, F1 score 92.39%
Counterfactual Review Detection
Identifying counterfactual reviews on the Amazon platform.
Accuracy 75.85%, F1 score 69.69%
Academic Research
Paper Clustering
Topic clustering for arXiv and biorxiv papers.
V-measure reached 48.57% and 43.19% respectively
Q&A Systems
Technical Q&A Retrieval
Question retrieval on the CQADupstack technical Q&A platform.
Average precision@10 reached 36.66%
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