S

Sentence Camembert Base

Developed by Lajavaness
French sentence embedding model based on CamemBERT, fine-tuned on the stsb dataset using enhanced SBERT method, achieving state-of-the-art French sentence similarity calculation
Downloads 1,041
Release Time : 10/25/2023

Model Overview

This model is specifically designed for calculating semantic similarity between French sentences, based on the CamemBERT architecture and optimized with the enhanced SBERT method, demonstrating excellent performance in multiple French text similarity benchmarks

Model Features

Enhanced SBERT Training Method
Utilizes advanced enhanced SBERT training strategy, combining CrossEncoder and large models for pair sampling optimization
Outstanding Performance in Multiple Benchmarks
Achieves leading scores in multiple French text similarity benchmarks such as STS-B and STS12-fr
Efficient Parameter Scale
With only 110M parameters, it achieves performance comparable to or better than larger models

Model Capabilities

French Sentence Embedding
Sentence Similarity Calculation
Semantic Text Matching

Use Cases

Information Retrieval
Similar Document Retrieval
Finding semantically similar documents in French document libraries
Improves retrieval accuracy and recall rate
Question Answering Systems
Question Similarity Matching
Identifying semantic similarity between user questions and knowledge base questions
Enhances question answering system accuracy
Text Clustering
French Text Clustering
Automatically grouping French texts based on semantic similarity
Enables unsupervised text classification
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase