Mixed
1/2 the team though it was great 20% of the time, 1/2 the team hated it from day 0
fine_tune on Hacker News
20% of the time
In the thread “Fine-tune Google's Gemma 3”, replying to this comment
Helped: Filling in the middle of code files for completion.
Got in the way: Keeping information up to date and high inference cost.
> I'm interested to know if anyone is using fine-tuning to train a model on proprietary or in-house codebases and documentation. I've done it, 1/2 the team though it was great 20% of the time, 1/2 the team hated it from day 0. I used roughly 500K lines of code. …