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jina-embeddings-v3

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Jina AI 960

Hi everyone!
I am currently working on a project focused on asymmetric semantic search involving hard negative sentences, and I would like to fine-tune a model using this approach. I am seeking a practical example to better understand the process.

Could you please provide an example or reference on:

1. Preparing the dataset for fine-tuning, including how to structure pairs with hard negatives for asymmetric tasks?
2. Implementing the fine-tuning process using Hugging Face tools (e.g., transformers or datasets)?

A step-by-step example or notebook reference would be extremely helpful!

Thank you so much for your guidance.