Commenting to follow, curious about the answer.

From what I've found through Google (with no real understanding of llm) 2^16 is the max tokens per minute for fine tuning OpenAI's models via their platform. I don't believe this is the same as the training token count.

Then there's the context token limit, which is 16k for 3.5 turbo, but I don't think that's relevant here.

Though somebody please tell me why I'm wrong, I'm still trying to wrap my head around the training side.