text: Title: [Question] How could I hide the "Finding best initial lr" message from pytorch_lightning when using Darts' Torch Forecasting Models?
  Body: I am unable to hide the `Finding best initial lr` message when calling the [`lr_find` method](https://github.com/unit8co/darts/blob/c3a611236690f0704ced6078982adf20b0a33886/darts/models/forecasting/torch_forecasting_model.py#L1111) associated with Darts' Torch `Forecasting Models`, such as `BlockRNNModel`:
  
  ![image](https://github.com/unit8co/darts/assets/469246/1e9a8603-72ec-44ef-b31c-0be04251b94d)
  
  
  Based on my understanding, this message is generated by `pytorch-lightning`. In particular, by the [`on_train_batch_start` method](https://github.com/Lightning-AI/pytorch-lightning/blob/58ad56afece3ea7faec2f1b7f68d90195f316d78/src/lightning/pytorch/tuner/lr_finder.py#L384)  from the [`_LRCallback` class](https://github.com/Lightning-AI/pytorch-lightning/blob/58ad56afece3ea7faec2f1b7f68d90195f316d78/src/lightning/pytorch/tuner/lr_finder.py#L349). At least in this specific case :thinking: 
  
  I have tried the following:
  1. Including `verbose=False` when calling the `lr_find` method.
  2. Passing a `TQDMProgressBar(refresh_rate=0)` instance through the `callbacks` list in the `pl_trainer_kwargs` dict passed to the `BlockRNNModel` constructor.
  3. Including an `"enable_progress_bar": False` in the `pl_trainer_kwargs` dict passed to the `BlockRNNModel` constructor.
  
  So far, no luck :disappointed: 
  
  I don't know if I have misunderstood something or I am missing some critical bit of information :grimacing:
  
  Could you help me solve this issue? :pray:
  
  Any feedback would be much appreciated :relaxed: 
  
  ***
  
  I am using:
  - python 3.11.0
  - darts 0.28.0
  - pytorch_lightning 1.9.5
  
  Let me know if there are any missing but relevant and clarifying details I should mention.