I collected ~1500 labelled data and train with yolo, got a training loss of ~10, validation loss ~ 16. Obviously the fact is to use real test data to evaluate the performance, but is there a way to tell if this training loss = 10 is a "good" one? Or does it indicate I need to use more training data to see if I can push it down to 5 or even less?
Ultimately my question is, for a well-known model with a pre-defined loss function, is there a "good" standard value for the training loss?
I collected ~1500 labelled data and train with yolo, got a training loss of ~10, validation loss ~ 16. Obviously the fact is to use real test data to evaluate the performance, but is there a way to tell if this training loss = 10 is a "good" one? Or does it indicate I need to use more training data to see if I can push it down to 5 or even less?
Ultimately my question is, for a well-known model with a pre-defined loss function, is there a "good" standard value for the training loss?
thanks.