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B1ade Embed
B
B1ade Embed
Developed by w601sxs
This is a merged model composed of multiple foundation models including bert-large-uncased, WhereIsAI/UAE-Large-V1, BAAI/bge-large-en-v1.5, mixedbread-ai/mxbai-embed-large-v1, and avsolatorio/GIST-large-Embedding-v0. It is primarily used for text classification, retrieval, and clustering tasks.
Downloads 660
Release Time : 5/14/2024
Model Overview
This merged model integrates multiple advanced foundation models to enhance performance on the MTEB benchmark, supporting various natural language processing tasks such as classification, retrieval, and clustering.
Model Features
Multi-model Merging
Integrates multiple advanced foundation models to improve overall performance.
High Performance
Demonstrates outstanding performance on multiple MTEB benchmarks, such as achieving 75.18% accuracy in Amazon counterfactual classification.
Multi-task Support
Supports various natural language processing tasks including text classification, retrieval, and clustering.
Model Capabilities
Text Classification
Information Retrieval
Text Clustering
Natural Language Understanding
Use Cases
E-commerce
Amazon Review Classification
Performs polarity classification on Amazon product reviews with an accuracy of 93.07%.
High accuracy and F1 score
Counterfactual Analysis
Analyzes counterfactual content in Amazon reviews with an accuracy of 75.18%.
Strong classification performance
Academic
Arxiv Paper Clustering
Performs clustering analysis on Arxiv academic papers with a V-measure of 48.66%.
Moderate clustering performance
Information Retrieval
ArguAna Retrieval
Conducts information retrieval on the ArguAna dataset with an average precision of 41.39% at rank 1.
Good retrieval performance
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