如何訓練與微調 Sentence Transformers 模型：Hugging Face 官方實戰指南
Original: Train and Fine-Tune Sentence Transformers Models
This is a practical guide authored by Hugging Face, aimed at teaching developers how to train and fine-tune Sentence Transformers models to…
本指南詳細介紹如何訓練與微調 Sentence Transformers 模型。內容涵蓋雙編碼器（Bi-Encoder）與交叉編碼器（Cross-Encoder）的差異、如何準備訓練數據（如成對文本或三元組），以及如何選擇適合的損失函數（如 MultipleNegativesRankingLoss）來提升語意搜尋與向量檢索的精準度，是優化 RAG 系統必讀的經典教學。
This is a practical guide authored by Hugging Face, aimed at teaching developers how to train and fine-tune Sentence Transformers models to generate high-quality sentence embeddings — which are critical for tasks such as semantic search, information retrieval (RAG), and text clustering.
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