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Paraphrase Multilingual Mpnet Base V2 Embedding All

Developed by LLukas22
This model is a fine-tuned version of paraphrase-multilingual-mpnet-base-v2, supporting English and German sentence similarity calculation, suitable for multilingual text embedding tasks.
Downloads 28
Release Time : 2/23/2023

Model Overview

This model is primarily used for sentence similarity calculation and feature extraction. Fine-tuned on multiple datasets, it can generate high-quality sentence embeddings.

Model Features

Multilingual support
Supports sentence similarity calculation and feature extraction for English and German.
High-quality embeddings
Fine-tuned on multiple high-quality datasets to generate accurate sentence embeddings.
Efficient training
Utilizes mixed-precision training and D-Adaptation optimization techniques for high training efficiency.

Model Capabilities

Sentence similarity calculation
Text feature extraction
Multilingual text processing

Use Cases

Information retrieval
QA system
Can be used to build QA systems for matching questions with relevant answers.
Achieved a top_1 accuracy of 32.4% in evaluation.
Document retrieval
Used to retrieve the most relevant documents for a query.
Achieved a top_10 accuracy of 50.1% in evaluation.
Text analysis
Text clustering
Can be used to cluster semantically similar texts into groups.
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