---
title: "Discussion on \"How to fine-tune an embedding model with LoRA adapters\" | Hashnode"
description: "Discussion on \"How to fine-tune an embedding model with LoRA adapters\". Fine-tune a Sentence Transformers embedding model with LoRA: training data, working code, the settings that matter and the re-embedding step."
url: "https://hashnode.com/posts/how-to-fine-tune-an-embedding-model-with-lora-adapters/6aea088b0a3c3d9857e5598b"
---

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# [How to fine-tune an embedding model with LoRA adapters](https://mixpeekai.hashnode.dev/how-to-fine-tune-an-embedding-model-with-lora-adapters?utm_source=hashnode&utm_medium=feed)

Fine-tune a Sentence Transformers embedding model with LoRA: training data, working code, the settings that matter and the re-embedding step.

Nov 3 · 5 min read · mixpeekai.hashnode.dev  
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-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#nlp](https://hashnode.com/tag/nlp)
-   [#python](https://hashnode.com/tag/python)
-   [#ai](https://hashnode.com/tag/ai)

## Written by

[Ethan Steininger](https://hashnode.com/@esteininger)

@esteininger · New York, USA

  
[View profile](https://hashnode.com/@esteininger)

Founder of Mixpeek. Writing about multimodal search over video, images, audio and documents.

Founder of Mixpeek (mixpeek.com), a multimodal data warehouse that makes video, images, audio and documents in your own object storage searchable.

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