Trainer.predict() does not return values in optuna search
I am trying to train some models on question answering mostly following thiscourse.However, instead of taking the default hyperparameters given in the course, I am trying to perform hyperparameter search using the optuna backend.Without hp search this code runs perfectly fine for me:predictions=trainer.predict(validation_dataset)start_logits,end_logits=predictions[0]metrics=compute_metrics(start_logits, end_logits, validation_dataset, dataset[“test”])em=metrics[“exact_match”]f1=metrics[“f1”]but once I include it into the hyperparameter search it is throwing an error.My code looks like this:grafik816×611 81.6 KBand I get the following error for the line where I am extracting the logits.33     predictions=trainer.predict(validation_dataset)—> 34     start_logits,end_logits=predictions[0]35     metrics=compute_metrics(start_logits, end_logits, validation_dataset,dataset[“test”])36     em=metrics[“exact_match”]TypeError: cannot unpack non-iterable NoneType objectI think that the trainer.predict() is not returning anything when I am using it in the objective function and I have no ides why since it is working if I use it outside.Thank you in advance!