* Add run_mim_no_trainer.py draft from #20412
Add parse_args method and copy over other dependencies
Add Method call for sending telemetry
Initialize Accelerator
Make one log on every process
Set seed and Handle repository creation
Initialize dataset and Set validation split
Create Config
Adapt Config
Update Config
Create Feature Extractor
Create model
Set column names
Create transforms
Create mask generator
Create method to preprocess images
Shuffle datasets if needed and set transforms
Create Dataloaders
Add optimizer
Add learning rate scheduler
Prepare everything with our accelerator
Tie weights for TPU training
Recalculate training steps and training epochs
Set accelerator checkpointing steps
Initialize trackers and store configuration
Set total batch size
Fix typo: mlm -> mim
Log info at the start of training
Load in the weights and states from previous save
update the progress_bar if load from checkpoint
Define train loop
Add evaluation loop to training
Add to parse_args method
Push repo to hub
Save accelerator state
End training and save model and feature extractor
Remove unused imports
Fix trailing whitespace
* Update code based on comments, Rename feature_extractor to image_processor
* Fix linting
* Add argument for learning rate
* Add argument for setting number of training epochs
* Remove incorrect logger argument
* Convert max_train_steps to int for tqdm
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Co-authored-by: Saad Mahmud <shuvro.mahmud79@gmail.com>
