Hello all,
I’m exploring fine-tuning Gemini models with some domain-specific datasets, but I’m new to the process and want to avoid common pitfalls.
Could anyone share:
- Best practices for preparing and formatting training data?
- Recommendations on hyperparameter settings for stable training?
- Any tools or scripts that have helped streamline fine-tuning in 2025?
Thanks in advance for your advice!