if I train a model and later on gather a new batch of training material. Can i further fine-tune my existing model? Or do I need to run a fine-tune job from scratch on a base model using the combined training material.
Hey @MuaazOsaidTahir,
Thanks for bringing this question to the Google Cloud Community. I am learning alongside all of you! You can further fine-tune your existing model with a new batch of training material which is actually one of the game-changing benefits of fine-tuning. Here's why it works and how to approach it:
Why Fine-Tuning Works This Way:
How to Fine-Tune with New Data:
Important Considerations:
I am by no means an expert in this area, so I encourage other's to jump in and share their perspective! Let me know if you have any specific scenarios or technologies in mind, and I can see if one of our internal SMEs can provide more tailored guidance!
Thank you for the response @Roderick !
Can I get any help on how to start the job on the custom tuned model through nodejs sdk,
Are you perhaps looking for this documentation:
Thanks @nceniza!
I've followed this doc and I was able to start the job for tuning the base model.
But i haven't been able to find a way to tune over the model which I have already tuned.
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