Fine-tuning ColBERT model beats general-purpose retrievers in 14.5 hours
aaxsh18 · x · 2026-08-26
Tom Aarsen published a blog post on training and fine-tuning multi-vector embedding models with Sentence Transformers. As a practical example, he fine-tuned a ColBERT-style model for medical retrieval on an RTX 3090 over 14.5 hours, achieving performance that beats every general-purpose retriever he could find.
Related event: Fine-tuning ColBERT on a single RTX 3090 beats general-purpose retrievers(14 posts)→
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