Currently tinker finetuning uses a hardcoded 2e-4 lr:
|
learning_rate: float = 2e-4 |
Tinker cookbook provides hyperparam_utils.get_lr(model_id, is_lora: bool), maybe we should use that as the default? @HarryMayne told me this is what they've been using in their current expeirments
Currently tinker finetuning uses a hardcoded 2e-4 lr:
llmcomp/llmcomp/finetuning/params.py
Line 56 in 33d906d
Tinker cookbook provides
hyperparam_utils.get_lr(model_id, is_lora: bool), maybe we should use that as the default? @HarryMayne told me this is what they've been using in their current expeirments