Normal Train

Standard supervised fine-tuning: train a model on a labeled dataset, optionally evaluate, then optionally export. The most common TAO workflow for adapting a pretrained model to a new dataset.

Steps

1. train — executed through AutoML when the selected model has automl_enabled: true and automl_policy is on; set automl_policy=off for a plain single training run
2. eval — executed if eval_dataset_uri is resolved
3. export — optional, on user request after training

Prerequisites