How to save the best model instead of the last?

[Caspeerrr]

I want to save the best model instead of the last model for detectron2. The evaluation metric I want to use is AP50 or something similar. The code I currently have is:
trainer.register_hooks([ EvalHook(eval_period=20, eval_function=lambda:{'AP50':function?}), BestCheckpointer(eval_period=20, checkpointer=trainer.checkpointer, val_metric= "AP50", mode="max") ])
But I have no idea what I have to substitute for the function in EvalHook. I use a subset of the coco dataset to train the model, and I saw that detectron2 contains some evaluation measures for the coco dataset, but I have no idea how to implement this.

[zhanghang1989]

You may check the tensorboard history to find the best one

[Aayushjshah]

did you find any fix Casperrrr?

[aymanaboghonim]

did you find a proper way to do your job ???