How to set dropout range on classifier layer using hyperparameter search?
I’m training a NER (token classification) model using RoBERTa and searching best hyperparameters withTrainer.hyperparameter_search()and Optuna backend but I can’t find out how to set dropout choices on hypermarameter search space. Triedclassifier_dropoutandhidden_dropout_probbut didn’t work out.Any help appreciated,J Jones