Made clear the custom CM repo URL format

main.py

@@ -168,7 +168,7 @@ def mlperf_inference_implementation_readme(spaces, model, implementation, *, sce
                                 content += f"{cur_space3}The above command should get you to an interactive shell inside the docker container and do a quick test run for the Offline scenario. Once inside the docker container please do the below commands to do the accuracy + performance runs for each scenario.\n\n"
                                 content += f"{cur_space3}<details>\n"
                                 content += f"{cur_space3}<summary> Please click here to see more options for the docker launch </summary>\n\n"
-                                content += f"{cur_space3}* `--docker_cm_repo=<Custom CM repo URL>`: to use a custom fork of cm4mlops repository inside the docker image\n\n"
+                                content += f"{cur_space3}* `--docker_cm_repo=<Custom CM GitHub repo URL in username@repo format>`: to use a custom fork of cm4mlops repository inside the docker image\n\n"
                                 content += f"{cur_space3}* `--docker_cache=no`: to not use docker cache during the image build\n"
 
                                 if implementation.lower() == "nvidia":