Hello,

I am running into an issue with ClearML pipelines.
I have a training script that i broke up into prepare_data, train and evaluate. I am using PipelineDecorator.component() for each of the steps.
I am running into an issue at the train_model step. I am trying to train a deep learning model using pytorch lightning. My decorator function is PipelineDecorator.component(task.type=TaskTypes.training) but when I look at the artifacts, ClearML is storing the checkpoints for each epoch. I do not want this. I simply want clearml to log the best model at the end of training. How do I do this in a pipeline. Thank you very much