Question about finetune on Kitti

I have downloaded the Kitti dataset and successfully evaluated it using your pretrained ckpt on the MGL dataset. However, when executing the finetune command, I encountered the following error. Nevertheless, the model did not report any errors during training on MGL and evaluation on Kitti. Does this look like the shape of the weights in your pre trained model is different from the model itself?

RuntimeError: Error(s) in loading state_dict for GenericModule:
size mismatch for model.map_encoder.encoder.adaptation.0.0.weight: copying a param with shape torch.Size([9, 64, 1, 1]) from checkpoint, the shape in current model is torch.Size([8, 64, 1, 1]).
size mismatch for model.map_encoder.encoder.adaptation.0.0.bias: copying a param with shape torch.Size([9]) from checkpoint, the shape in current model is torch.Size([8]).