Prepare a model for distributed training
You've decided to use the Hugging Face Accelerator library to train your language translation model. Now it's time to prepare your model for distributed training!
Some data has been pre-loaded:
acceleratoris an instance ofAcceleratormodel,optimizer,train_dataloader, andlr_schedulerhave been defined
Deze oefening maakt deel uit van de cursus
Efficient AI Model Training with PyTorch
Oefeninstructies
- Call a method to prepare objects for distributed training.
- Pass in the training objects to the method, matching the order of the output.
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Prepare objects for distributed training
model, optimizer, train_dataloader, lr_scheduler = ____.____(
# Pass in the training objects matching the order of the output
____,
____,
____,
____)