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Published 20 hours ago • verified publisher icon KaihuaTang

Understanding Training metrics

Open bibekyess opened this issue 2 years ago • 0 comments

❓ Questions and Help

Hello! I have some general questions on understanding the metrics used in training. From the example below:

2022-08-13 19:12:26,520 maskrcnn_benchmark INFO: eta: 1:05:16 iter: 26000 loss: 0.0018 (0.0215) loss_refine_att: 0.0003 (0.0013) loss_refine_obj: 0.0014 (0.0201) loss_rel: 0.0000 (0.0002) time: 0.9628 (0.9792) data: 0.0123 (0.0197) lr: 0.000009 max mem: 8478 What is this general loss? And how is it different from the loss value inside parenthesis () and what about data? What does data here refer to? I would greatly appreciate your answer.

Thank you and have a good day!

bibekyess avatar Aug 17 '22 08:08 bibekyess