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Using the "RMSProp" optimizer when training the YoloV11 model

>> g = self.model.split_params() In addition, the model has no attribute/method 'split_params'

Using the "RMSProp" optimizer when training the YoloV11 model

@Laughing-q , thank you for taking part in the discussion! In the case you suggested, the training actually starts, but if you look at the arguments with which it started,...

Using the "RMSProp" optimizer when training the YoloV11 model

Colleagues, thank you so much for your advices! You claim that the arguments specified in the "args.yaml" file reflect only the default settings. As far as I understand (correct me...

Using the "RMSProp" optimizer when training the YoloV11 model

@pderrenger I am grateful to you for the detailed answer! One thing remains unclear... When training the model using optimizers: SGD, Adam, AdamW, NAdam, RAdam - training occurs normally, losses...

Using the "RMSProp" optimizer when training the YoloV11 model

@pderrenger Thank you so much for the clarification, I wasn't even hoping for such a detailed answer.