The ce_loss became negative when I was using the mask2former to do instance segmentation

[AIzealotwu]

command you run:
python train_net.py --num-gpus 8 --config-file configs/coco/instance-segmentation/swi
n/maskformer2_swin_large_IN21k_384_bs16_100ep.yaml MODEL.WEIGHTS "weig
hts/model.pkl"

The data form used in my case is coco.
And the registration of this dataset was strictly followed with the document of our office

[github-actions]

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[Programmer-RD-AI]

Hi,
To resolve the issue you are facing, it is usually a case in the training step..
Try and change the LR (learning rate) and adjust your training process and check if it fixes the issue.
Thank you

[AIzealotwu]

Well, Thanks. Maybe this issue was caused by so large of my picture. The learning rate was followed with the default in the mask2former source paper.

[Programmer-RD-AI]

Hi,
Glad you found it useful! :)
Try adjusting parameters related to image resolution, batch size, augmentation techniques, or even model architecture to fine-tune your instance segmentation setup.
If you need further guidance or have specific questions, feel free to ask!