ultralytics / yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Change the optimizer #10544

Closed tavomx45 closed 1 year ago

tavomx45 commented 1 year ago

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Question

How can I configure a different optimizer?

Additional

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github-actions[bot] commented 1 year ago

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glenn-jocher commented 1 year ago

@tavomx45 you can set one using the argparser here: https://github.com/ultralytics/yolov5/blob/f72f0fec980b35d7f9575d15b326f529b5a9ac0d/train.py#L456

Options are here, and you can add any additional ones not shown: https://github.com/ultralytics/yolov5/blob/f72f0fec980b35d7f9575d15b326f529b5a9ac0d/utils/torch_utils.py#L331-L341

tavomx45 commented 1 year ago

@glenn-jocher thanks for your help 😀

github-actions[bot] commented 1 year ago

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glenn-jocher commented 12 months ago

@tavomx45 you're welcome! Happy to help. If you have any more questions, feel free to ask. 😊 Keep up the great work!

LiuJianyu9587 commented 6 months ago

There seems to be a slight change now,no such passage:parser.add_argument('--optimizer', type=str, choices=['SGD', 'Adam', 'AdamW'], default='SGD', help='optimizer') ,Is the default optimizer SGD?How to change it to Adam or AdamW

glenn-jocher commented 6 months ago

Hello! Yes, the default optimizer is still SGD. To change it to Adam or AdamW, you can modify the train.py file. Specifically, add or update the optimizer argument in the parser like this:

parser.add_argument('--optimizer', type=str, choices=['SGD', 'Adam', 'AdamW'], default='SGD', help='optimizer')

When running your training command, specify the optimizer by adding --optimizer Adam or --optimizer AdamW to use a different one. 😊

LiuJianyu9587 commented 6 months ago

Thank you for your answer,I am using YOLOv5-6.0,It seems that only YOLOv5-6.1 and above versions have this passage:parser.add_argument('--optimizer', type=str, choices=['SGD', 'Adam', 'AdamW'], default='SGD', help='optimizer'),In yolov5-6.0's train.py, there are only this passage:parser.add_argument('--adam', action='store_true', help='use torch.optim.Adam() optimizer'). But I don't know how to change the optimizer in this situation, so I changed the version.

glenn-jocher commented 6 months ago

Great decision on upgrading to a newer version! For YOLOv5 version 6.0, if you wanted to switch to the Adam optimizer, you would typically add the --adam flag to your training command like so:

python train.py --adam

This flag sets the optimizer to Adam instead of the default SGD. However, since you've already upgraded, using the --optimizer argument as you now have is indeed the cleaner way to switch between different optimizers. Happy training! 😊 If you need further assistance, just let me know!