Update README.md

README.md

@@ -140,6 +140,7 @@ LuMamba experiments are categorized by two Hydra configurations, in `BioFoundati
     - **Task type**: override with `/task:finetune_task_LUNA` for classification and `/task:finetune_regression_task_LuMamba` for regression tasks
     - **Classification type**: set `classification_type` (`bc`, `mcc`) and `model.num_classes` to match your downstream task. In a regression scenario,`mcc` is used and `model.num_classes` describes the number of features in the output.
     - **Classifier choice**: set `/model:classifier_option` (`mamba` for FEMBA classifier, `linear` for single-layer linear classifier,`null` for default LUNA classifier)
+    - Configuration file includes further `#CHANGEME` tags and instructions for a working example.
 5. **Env vars**: export `DATA_PATH` (dataset root) and `CHECKPOINT_DIR` (artifacts).
 6. **Trainer/optimizer**: adjust `gpus/devices`, `batch_size`, `max_epochs`, LR/scheduler if needed.
 7. **I/O**: set `io.base_output_path` and confirm `io.checkpoint_dirpath` exists.