Hello, I downloaded the original weights yolov3 darknet, converted them to format .h5, evalute them on coco_eval, and got good results. Then I decided to start training this model at a very low learning rate, for example, 1e-9, and as a result, I get very large values of the loss function (~ 10 total). Since the model has shown good results on evalution, high values of the loss function can only be associated with the calculation of losses. I have a question, what is the reason for this, is it possible to fix it somehow, or if not, are there other tensorflow repositories where the original model shows the original low values of the loss function for yolov3 darknet?
Hello, I downloaded the original weights yolov3 darknet, converted them to format .h5, evalute them on coco_eval, and got good results. Then I decided to start training this model at a very low learning rate, for example, 1e-9, and as a result, I get very large values of the loss function (~ 10 total). Since the model has shown good results on evalution, high values of the loss function can only be associated with the calculation of losses. I have a question, what is the reason for this, is it possible to fix it somehow, or if not, are there other tensorflow repositories where the original model shows the original low values of the loss function for yolov3 darknet?