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Langcache Crossencoder V1 Ms Marco MiniLM L6 V2

Developed by aditeyabaral-redis
This is a model based on the Cross Encoder architecture, specifically designed for text pair classification tasks. It is fine-tuned on the Quora question pair dataset and is suitable for semantic similarity judgment and semantic search scenarios.
Downloads 338
Release Time : 6/19/2025

Model Overview

This model is based on the Cross Encoder architecture and can effectively handle text pair classification tasks. It is fine-tuned on the Quora question pair dataset and is mainly used to calculate the similarity scores of text pairs.

Model Features

Efficient text pair processing
Based on the Cross Encoder architecture, specifically optimized for the performance of text pair classification tasks
Fine-tuning on Quora dataset
Specifically fine-tuned on the Quora question pair dataset, especially suitable for semantic similarity judgment in Q&A scenarios
Multi-metric evaluation
Supports multiple evaluation metrics such as accuracy and F1 score, enabling comprehensive evaluation of model performance

Model Capabilities

Text pair similarity calculation
Semantic similarity judgment
Q&A pair matching
Semantic search

Use Cases

Q&A system
Similar question identification
Identify whether the question raised by the user is similar to existing questions
Accuracy: 69.56%, F1 score: 59.47%
Semantic search
Search result sorting
Sort search results based on the semantic similarity between the query and the document
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