docs/training/training_doc.md

Training Arguments for YOLOv10 License Plate Detection

Below are the command-line arguments used to configure the training of a YOLOv10 model for license plate detection.

Argument	Type	Default Value	Description
--model	str	./ckpts/raw/yolo12n.pt	Path to the model file or model name (e.g., "yolo12n.pt").
--data	str	./datasets/yolo_standard_dataset/data.yaml	Path to the dataset YAML file specifying the dataset configuration.
--epochs	int	100	Number of training epochs.
--batch	int	64	Batch size for training.
--resume	boolean	False	Resume training from the last checkpoint if set.
--patience	int	20	Number of epochs to wait for improvement before early stopping.
--lr0	float	0.01	Initial learning rate for training.
--lrf	float	0.001	Final learning rate for training.
--device	str	0	Device to train on (e.g., 0 for GPU, [0,1] for multiple GPUs, or cpu).
--project	str	./ckpts/finetune/runs	Directory to save training results.
--name	str	license_plate_detector	Name of the training run.
--save	boolean	True	Save training results if set.