how to adjust learning rates or something to be better when using a pretrained model to train my dataset?please give me some advice about pytorch-yolov3 HOT 5 OPEN

What pretrained weights did you use? I would not worry about overfitting that much on this dataset scale. I am preparing a PR with better hyperparameters in the near future, but for now I would just recommend longer training and maybe a slightly higher lr.

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What pretrained weights did you use? I would not worry about overfitting that much on this dataset scale. I am preparing a PR with better hyperparameters in the near future, but for now I would just recommend longer training and maybe a slightly higher lr.

I did not use the pre-training model because I think BDD100k is big enough. I forgot whether the pre-training model was used when I trained COCO in the original paper. Now I am wondering whether to change the learning rate

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What pretrained weights did you use? I would not worry about overfitting that much on this dataset scale. I am preparing a PR with better hyperparameters in the near future, but for now I would just recommend longer training and maybe a slightly higher lr.

you mean learning rate > 0.001 will be better? i think the initial learning rate in the yolov3-custom.cfg is too low.

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What pretrained weights did you use? I would not worry about overfitting that much on this dataset scale. I am preparing a PR with better hyperparameters in the near future, but for now I would just recommend longer training and maybe a slightly higher lr.

Before your reply, I have modified ，which is not to use the pre-training model. As for the two messages I just replied to you, I plan to look at the training results tomorrow and reply to you

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@Flova hi ,i think most issues about map low is because they just use one optimiser ,adam, i checked your code long time ago and i found sgd optimiser emmm,it 's better than adam in training ,at least in some aspects

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