Peformance Measure inference after finetuning
I have finetuned the titanet_large model on a new dataset which is related to the work I will be performing the embedding extraction on. That dataset has been split into a test set which contains unseen speakers. I would like to see if the finetuned model is performing better on the unseen dataset as compared to the original titanet model. Any ideas in which I can compare results?

Also, is there any way I can create a trial file for my dataset?
Thanks!