Hello Alexey, I trained my net based on coco&PAS dataset via using the yolov4-custom.cfg and I changed the class number and filter size in it as well. I found the avg loss had pretty slow decreasing speed and stayed flattened while having large fluctuation around value 3.0 in 15k iterations, not like that yolov3 training in which avg loss curve had an obvious decrease to 1.5 in 15k iterations.
I am using two 1080 ti GPUs, with width=416 batch=64 subdivisions=16.
Can you please tell me where is wrong with my training when you are free?
Hello Alexey, I trained my net based on coco&PAS dataset via using the yolov4-custom.cfg and I changed the class number and filter size in it as well. I found the avg loss had pretty slow decreasing speed and stayed flattened while having large fluctuation around value 3.0 in 15k iterations, not like that yolov3 training in which avg loss curve had an obvious decrease to 1.5 in 15k iterations.
I am using two 1080 ti GPUs, with width=416 batch=64 subdivisions=16.
Can you please tell me where is wrong with my training when you are free?
Thank you so much!