# Training, validation loss and accuracy yolov3?

This is a version of Yolo V3 implemented in PyTorch – YOLOv3 in PyTorch

I am trying to use transfer learning to train this yolov3 implementation following the directions given in this post. This is the output being displayed during training

I have looked at the code inside train.py, to know what actually is being displayed during training but could figure out apart from few parameters those are being displayed.

• P -> Precision
• R -> Recall
• F1 -> F1 score

These two parameters decrease during training, but don't know what they actually mean. My understanding is two of those are losses. Can anyone help me understand what these two parameters actually mean?

• obj
• cls

I have asked the same on their TRANSFER LEARNING EXAMPLE.