--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")