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Information about the learning rate #255

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@SebastianJanampa

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@SebastianJanampa

Hello,

Thank you for your work. I was reading the training hyperparameters, and i noticed that the learning rate for DINOv2 is greater than the learning rate for the decoder. In previous DETR models, the backbone usually has a smaller learning rate than the other parameters. Why did you choose a learning rate of 0.2 for dinov2.

rf-detr/rfdetr/config.py

Lines 55 to 57 in ed54776

class TrainConfig(BaseModel):
lr: float = 1e-4
lr_encoder: float = 1.5e-4

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