HuggingFace Model hyperparameter search with ray as backend not saving best trial hyperparameters
I have no problem running this locally, but am encountering an issue using the sagemaker HuggingFace etimator. When running a HUggingFace hyperparameter_search, the hyperparameters for a trial are not saving. Thus, at the end of the tuning job when runningbest_trial.hyperparametersI get an empty dictionary. I double checked the saved files in the model.tar.gz file and theparams.jsonfile is empty.Local dependency versions:python = 3.10.11sagemaker = “2.203.0”transformers = “4.28.0”torch = “2.1.2+cpu”ray = “2.6.3”Instantiation of sgaemaker hugging face estimator:transformers_version = ‘4.28’,pytorch_version      = ‘2.0’py_version           = ‘py310’within sagemaker container run:os.system(“pip install ray==2.6.3”)