Hello @m3hrdadfi,
Great work, I see that you created a script which can decide regression or classification is going to be used by looking the “num_labels” extracted from csv files.
I am trying to estimate some neurological scores from sound for Parkinson’s disease patients.
And I am going to try to build a six dimensional regression model. I will give to wav2vec model a wav file and give six floating point labels means an array of six elements and want to make the model predict these labels.
The question is how can I prepare the CSV files and feed the model?
And do I need to make any change to existing model? You have added a classification layer at the top of the model which has two parameters config.hidden_size and config.num_labels. I think I have to change these parameters right?
Could you give some help please?
Regards,