Repository: huggingface/transformers
Pull request: fix: Propagate `lr_scheduler_kwargs` options to create LR Scheduler when LayerWiseDummyOptimizer is used

# What does this PR do?

Currently, when using `LayerWiseDummyOptimizer` (e.g., GaLore Optimizers), LR schedulers are not properly initialized. For example, attempting to use `cosine_with_min_lr` with `min_lr_rate = 0.1` results in an error. To fix this, the `scheduler_specific_kwargs` argument should also be passed during the recursive call of `get_scheduler`.

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Changed files:
filename: src/transformers/optimization.py
patch: @@ -549,6 +549,7 @@ def get_scheduler(
                 optimizer=optimizer_dict[param],
                 num_warmup_steps=num_warmup_steps,
                 num_training_steps=num_training_steps,
+                scheduler_specific_kwargs=scheduler_specific_kwargs,
             )
 
         def scheduler_hook(param):