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hi, author.
I have tried training MapTRv2 with the given three auxiliary tasks: depth, pv_seg, bev_seg.
However, after training for 24 epochs, I observed that the loss of these auxiliary tasks only slightly decrease. Their loss curves also show strong fluentuation.
loss_depth: from 6.8 to 6.64
loss_pv_seg: from 0.265 to 0.215
loss_bev_seg: from 0.138 to 0.118
Note that the depth loss is still large at the end.
Other losses also look potentially unconverged.
loss_pts at the last dec layer: from 12 to 4
loss_cls at the last dec layer: 0.65 to 0.35
I wonder whether the above phenomenons are normal for training.
The text was updated successfully, but these errors were encountered:
hi, author.
I have tried training MapTRv2 with the given three auxiliary tasks: depth, pv_seg, bev_seg.
However, after training for 24 epochs, I observed that the loss of these auxiliary tasks only slightly decrease. Their loss curves also show strong fluentuation.
loss_depth: from 6.8 to 6.64
loss_pv_seg: from 0.265 to 0.215
loss_bev_seg: from 0.138 to 0.118
Note that the depth loss is still large at the end.
Other losses also look potentially unconverged.
loss_pts at the last dec layer: from 12 to 4
loss_cls at the last dec layer: 0.65 to 0.35
I wonder whether the above phenomenons are normal for training.
The text was updated successfully, but these errors were encountered: