Comments (2)
Yeah sorry, this would only be used for continued pretraining. I forgot to mention that.
from litgpt.
That's not a bad idea and will be more robust for different dataset sizes. I wonder (and I don't know the answer) though if there is a minimum number of warm up step that should always be done, and a max number of steps that shouldn't be exceeded.
For example if we use 0.05 and pretrain on 3T tokens, that's 150 billion warmup steps, which is a bit large :D
For reference, here are the number of steps for popular LLMs (taken from the OLMo paper)
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from litgpt.