P

Polish Reranker Base Mse

Developed by sdadas
This is a Polish text ranking model trained using Mean Squared Error (MSE) distillation method, with a training dataset containing 1.4 million queries and 10 million document text pairs.
Downloads 16
Release Time : 2/3/2024

Model Overview

This model is a Polish text ranking model primarily used for text relevance ranking in information retrieval tasks. It is trained via MSE distillation and can reproduce the ranking results of large teacher models.

Model Features

MSE distillation training
Trained using Mean Squared Error distillation, effectively reproducing the ranking results of large teacher models
Large-scale training data
Training dataset includes 1.4 million queries and 10 million document text pairs
Multi-domain coverage
Training data covers general search, Q&A, and medical domains

Model Capabilities

Text relevance ranking
Information retrieval
Q&A system support

Use Cases

Information retrieval
Search engine result ranking
Ranking search engine results by relevance
Improves the relevance of search results
Q&A systems
Answer ranking
Ranking multiple candidate answers generated by a Q&A system
Selects the most relevant answer
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