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Splade V3

Developed by naver
SPLADE-v3 is the latest generation of the SPLADE model series, developed based on SPLADE++SelfDistil, employing a hybrid training approach combining KL divergence and MarginMSE for information retrieval tasks.
Downloads 84.86k
Release Time : 3/8/2024

Model Overview

SPLADE-v3 is an efficient information retrieval model, developed based on SPLADE++SelfDistil, optimized for retrieval performance through hybrid training.

Model Features

Hybrid Training Approach
Employs a hybrid training approach combining KL divergence and MarginMSE to optimize model performance.
Efficient Retrieval
Based on the SPLADE++SelfDistil architecture, providing efficient document retrieval capabilities.
Negative Sampling
Uses 8 negative samples per query sampled from SPLADE++SelfDistil to enhance training effectiveness.

Model Capabilities

Document Retrieval
Information Retrieval

Use Cases

Information Retrieval
Search Engine
Used to build efficient search engines, improving the relevance of retrieval results.
Achieves MRR@10 of 40.2 on the MS MARCO dev set and an average nDCG@10 of 51.7 on BEIR-13.
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