Good evening. That question is essentially impossible to answer…
The answer would be something like “it depends on the base model”, “it depends on what you want to express with LoRA (if it’s something like the characteristics of a person or a character, then LoRA will have a big impact)”, or “it can’t be expressed as a percentage in the first place”.
This is because the base model and LoRA are fused together when inference is executed. The mixed neural network is no longer suitable for being expressed as a percentage.
LoRA is not the same as full fine tuning, but it is one of the methods for training models, and there are various LoRA algorithms, each with their own strengths and weaknesses. (I am not familiar with each algorithm.)