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Sentence T5 Base FT Quora Sentence Similarity LG

Developed by DunnBC22
This is a T5-base-based sentence transformer model specifically designed for sentence similarity calculation, capable of mapping sentences to a 768-dimensional vector space.
Downloads 30
Release Time : 9/20/2022

Model Overview

This model converts sentences and paragraphs into 768-dimensional dense vectors, suitable for natural language processing tasks such as clustering and semantic search.

Model Features

High-precision similarity calculation
Fine-tuned on the Quora question pairs dataset, achieving over 85% accuracy.
Multiple distance metric support
Supports various similarity calculation methods such as cosine similarity, Manhattan distance, Euclidean distance, and dot product.
768-dimensional vector space
Maps sentences to a 768-dimensional dense vector space, preserving rich semantic information.

Model Capabilities

Sentence vectorization
Semantic similarity calculation
Text clustering
Semantic search

Use Cases

Q&A systems
Duplicate question detection
Identify semantically similar questions on platforms like Quora
85.93% accuracy
Information retrieval
Semantic search
Document retrieval based on semantics rather than keyword matching
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