Update README.md

README.md

@@ -40,20 +40,20 @@ Please follow the [instruction](https://github.com/yangzhou12/BenchX/blob/releas
 To fine-tune MRM for classification, run this command:
 
 ```
-python bin/train.py config/classification/<dataset_name>/MRM.yml
+python bin/train.py config/classification/<dataset_name>/mrm.yml
 ```
 
 ### 2. Segmentation
 To fine-tune MRM for segmentation, run this command:
 
 ```
-python mmsegmentation/tools/train.py config/benchmark/<dataset_name>/MRM.yml
+python mmsegmentation/tools/train.py config/benchmark/<dataset_name>/mrm.yml
 ```
 
 ### 3. Report Generation
 To fine-tune MRM for report generation, run this command:
 ```
-python bin/train.py config/report_generation/<dataset_name>/MRM.yml
+python bin/train.py config/report_generation/<dataset_name>/mrm.yml
 ```
 
 ### 4. Evaluation
@@ -61,10 +61,10 @@ To evaluate fine-tuned MRM models, run:
 
 ```
 # For classification and report generation
-python bin/test.py config/<task_name>/<dataset_name>/MRM.yml validator.splits=[test] ckpt_dir=<path_to_checkpoint>
+python bin/test.py config/<task_name>/<dataset_name>/mrm.yml validator.splits=[test] ckpt_dir=<path_to_checkpoint>
 
 # For segmentation
-python mmsegmentation/tools/my_test.py mmsegmentation/config/<dataset_name>/MRM.yml <path_to_checkpoint>
+python mmsegmentation/tools/my_test.py mmsegmentation/config/<dataset_name>/mrm.yml <path_to_checkpoint>
 ```
 
 ## Citations