# OnCo record fine-tuning-vs-frozen (term). Data CC BY-NC 4.0, attribute "Data from OnCo (onco.cc)". Whole corpus: https://onco.cc/api/v1/onco.nt
@prefix schema: <https://schema.org/> .
@prefix onco: <https://onco.cc/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://onco.cc/terms/fine-tuning-vs-frozen/>
  a schema:DefinedTerm ;
  onco:kind "term" ;
  schema:identifier "fine-tuning-vs-frozen" ;
  schema:name "Fine-tuning versus frozen features, and LoRA"@en ;
  schema:alternateName "fine-tuning"@en, "fine tuning"@en, "full fine-tuning"@en, "frozen encoder"@en, "frozen features"@en, "frozen embeddings"@en, "LoRA"@en, "low-rank adaptation"@en, "parameter-efficient fine-tuning"@en, "PEFT"@en ;
  schema:description "Fine-tuning updates a pretrained model's weights on the new task; using it frozen keeps the weights fixed and trains only a small head on its features; LoRA is a cheap middle way that trains small low-rank updates."@en ;
  schema:url <https://onco.cc/terms/fine-tuning-vs-frozen/> ;
  schema:dateModified "2026-09-24"^^xsd:date ;
  schema:sameAs <https://en.wikipedia.org/wiki/Fine-tuning_(deep_learning)> ;
  schema:citation <https://en.wikipedia.org/wiki/LoRA_(machine_learning)>, <https://arxiv.org/abs/2106.09685>, <https://en.wikipedia.org/wiki/Fine-tuning_(deep_learning)> ;
  onco:tag "cansim-terms" ;
  onco:related <https://onco.cc/terms/cancer-ai-vocabulary/> ;
  onco:terms <https://onco.cc/terms/transfer-learning/>, <https://onco.cc/terms/linear-probe/>, <https://onco.cc/terms/embedding/>, <https://onco.cc/terms/foundation-model/> .