Tune for COCO - Githubissues

eriklindernoren / PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

GNU General Public License v3.0

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Tune for COCO #826

Open Flova opened 1 year ago

Flova commented 1 year ago

Proposed changes

tune hyperparams
scale based on mini batch size
linear instead of step wise decay
use sgd
only log once per optimizer step

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Necessary checks

[ ] Update poetry package version semantically
[x] Write documentation
[x] Create issues for future work
[x] Test on your machine

J-LINC commented 1 year ago

hi ，Regarding what you mentioned:linear instead of step wise decay, I have reviewed your code and found that there is only one learning rate decay strategy, which is to adjust according to steps. How can I perform linear decay or other decay methods as for using sgd ,i think you are right for most trains and i successed when i using sgd in trianing bdd100k