Open shanalikhan opened 1 day ago
Hi! thanks for your contribution!, great first issue!
I have used the following code
self.log('precision', map_results['precision'].mean().float().item(),on_step=True, on_epoch=True, prog_bar=True, logger=True)
self.log('recall', map_results['recall'].mean().float().item(),on_step=True, on_epoch=True, prog_bar=True, logger=True)
Its overall score and its in negative, how come its in negative? Also since I'm finetuning the model for binary class therefore I think mean is eventually not suitable for binary class here and I must take mean for 2 classes instead.
🚀 Feature
How to find the recall of class 0 and class 1 for this code. Sorry the documentation is not clear to me. I can set micro but how to identify overall P and R by class name?
Motivation