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Gte Large Zh
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Gte Large Zh
Developed by thenlper
The GTE Large Chinese Model is a multilingual text embedding model focused on semantic representation and similarity calculation for Chinese text.
Downloads 4,896
Release Time : 11/7/2023
Model Overview
This model is primarily used to generate high-quality sentence embeddings, supporting various Chinese natural language processing tasks including semantic text similarity calculation, text classification, clustering, and information retrieval.
Model Features
Multi-task Support
Supports various natural language processing tasks including semantic similarity calculation, classification, clustering, and retrieval.
High Performance
Outstanding performance on multiple Chinese benchmarks, especially in semantic similarity and information retrieval tasks.
Chinese Optimization
Specially optimized for Chinese text, better capturing Chinese semantic features.
Model Capabilities
Semantic Text Similarity Calculation
Text Classification
Text Clustering
Information Retrieval
Re-ranking
Use Cases
Semantic Similarity
QA Matching
Calculate semantic similarity between questions and candidate answers
Achieved a Pearson correlation coefficient of 48.94 on the AFQMC dataset
Sentence Pair Classification
Determine if two sentences express the same semantics
Achieved a Pearson correlation coefficient of 62.55 on the BQ dataset
Information Retrieval
Medical QA Retrieval
Retrieve relevant answers from a medical knowledge base
Achieved a Mean Average Precision at 1000 (MAP@1000) of 38.52 on the CmedqaRetrieval dataset
COVID-19 Information Retrieval
Retrieve COVID-19 related information
Achieved a Mean Average Precision at 100 (MAP@100) of 85.78 on the CovidRetrieval dataset
Text Classification
Product Review Classification
Classify Chinese Amazon reviews
Achieved an accuracy of 47.23%
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