Hello,
I have one theoretical question, In research papers, mostly we mention testing results, accuracy, precision, recall etc. But mostly In PyTorch training model generates multiple checkpoints, some peoples generate checkpoint after each 1 epoch, some people generate checkpoints after 5 epochs. Something like that.
My question is when I run model testing phase code each checkpoint pass through loop and deliver its own result. Right?
Now, what is criteria to mention testing result in research papers? Suppose i have 10 different checkpoints and each checkpoint has generated 10 different testing results. So I can select highest accuracy checkpoints as best model (with weights) ?
Please help in this regard !