--model-type - Choose between tensorflow, torch, or sklearn--activation - Use sigmoid for multi-label, softmax for single-label--lang - Set primary language (english, ukrainian, spanish, etc.)--refinement-cycles - Number of prompt improvement iterations--batch-size - Parallel API requests for faster generation--skip-data-gen - Train only using existing data--use-own-dataset - Use your own dataset (enter filename only, e.g., "my_data.csv")