tested the model loading for forecasting, classification, imputation and representation learning
because the dropout is not set in the HF config, the naming correction did not break anything
all the dropouts are set to the default values specified in the model implementation, no dropout is set from the config directly (besides the t5 one, but it is well-separated inside the t5 config)