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Mmlw E5 Small
M
Mmlw E5 Small
Developed by sdadas
mmlw-e5-small is a sentence transformer model for sentence similarity tasks, supporting Polish text processing.
Downloads 76
Release Time : 11/17/2023
Model Overview
This model is primarily used for sentence similarity calculation and feature extraction tasks, capable of converting input sentences into vector representations for similarity comparison or other downstream tasks.
Model Features
Polish language optimization
Specifically optimized for Polish text, performing well on Polish language tasks.
Multi-functional application
Supports various natural language processing tasks including clustering, classification, retrieval, and sentence similarity calculation.
Efficient feature extraction
Capable of efficiently converting sentences into vector representations for subsequent processing and analysis.
Model Capabilities
Sentence similarity calculation
Text feature extraction
Text clustering
Text classification
Information retrieval
Use Cases
Text analysis
Document clustering
Group similar documents together
Achieved a v_measure score of 31.77 on the PL-MTEB/8tags-clustering dataset
Sentiment analysis
Analyze text sentiment tendencies
Achieved an accuracy of 63.96% on the MTEB PolEmo2.0-IN dataset
Information retrieval
Question answering system
Retrieve answers relevant to questions
Achieved a map@10 of 28.04 on the MTEB NQ-PL dataset
Document retrieval
Find relevant documents
Achieved a map@10 of 21.18 on the MTEB MSMARCO-PL dataset
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