For example, to speedup training with mixed precision using the bf16 format, add the `--mixed_precision` parameter to the training command:  
```bash
accelerate launch train_unconditional.py \
--mixed_precision="bf16"
```  
Some basic and important parameters to specify include:  
- `--dataset_name`: the name of the dataset on the Hub or a local path to the dataset to train on
- `--output_dir`: where to save the trained model
- `--push_to_hub`: whether to push the trained model to the Hub