How do you manage the trade-off between model size and accuracy when fine-tuning generative models for specific use cases

Question

I am facing issue in managing the trade-off between model size and accuracy . Can you provide code in python solving this issue?

Answer 1

In order to handle the trade-off between model size and accuracy you can refer to the following:

In the code reference alpha controls the balance between the accuracy and temperature controls on how much knowledge is transferred.