Computing F1 score for YOLOV5

I am confused at finding out the exact F1 score of my YOLOv5 model which underwent training for 150 epochs.

Also, how can I know if the model has done well based on these graphs?

Here are the metrics:

 Class     Images     Labels          P          R     mAP@.5 mAP@.5:.95: 100% 11/11 [00:05<00:00,  2.09it/s]
all        347        472       0.91      0.895      0.941      0.746
class1         347        162      0.923      0.914      0.949      0.718
class 2         347        161      0.885      0.911      0.942      0.877
class 3.        347        149       0.92      0.859      0.933      0.641


There is an F1 curve image which automatically gets generated. What is the right F1 score based on the metrics and the image?