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When i train the model on the mini or trainval dataset using the simple detr3d_resnet101_gridmask config , i get around 0 map and 0 nds in the end, the model does not learn anything as the training process goes, but evaluating the model using your trained weights i can get the correct results, I am using nuscenes mini v1.0 dataset with mmdetection 1.0.0rc2 mmcv 1.6.0 and pytorch 1.9.1 with cuda 11.1
The text was updated successfully, but these errors were encountered:
ruben-poghosyan
changed the title
Training the model does not converge
Training the model does not converge 0mAP 0 NDS score
Mar 9, 2023
When i train the model on the mini or trainval dataset using the simple detr3d_resnet101_gridmask config , i get around 0 map and 0 nds in the end, the model does not learn anything as the training process goes, but evaluating the model using your trained weights i can get the correct results, I am using nuscenes mini v1.0 dataset with mmdetection 1.0.0rc2 mmcv 1.6.0 and pytorch 1.9.1 with cuda 11.1
The text was updated successfully, but these errors were encountered: