write_basic_config() Lastly, if you want to train a model on your own dataset, take a look at the Create a dataset for training guide to learn how to create a dataset that works with the training script. The following sections highlight parts of the training script that are important for understanding how to modify it, but it doesn’t cover every aspect of the script in detail. If you’re interested in learning more, feel free to read through the script and let us know if you have any questions or concerns.  Script parameters The training script has many parameters to help you customize your training run. All of the parameters and their descriptions are found in the parse_args() function. Default values are provided for most parameters that work pretty well, but you can also set your own values in the training command if you’d like. For example, to increase the number of epochs to train:   Copied accelerate launch train_text_to_image_lora.py \