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I tried to train your network from scratch with ./configs/img/onet.yaml. I find something weird that the validation loss is increasing during training though the validation IOU is getting better. I also evaluated the model and the result looks fine(0.584 mean IOU). I am wondering if the validation loss would be normal.
Here is the screen shot for the loss curves.
The text was updated successfully, but these errors were encountered:
@JiangWenPL Hi, have you solved the problem? I found same problems when i finetune the pretrained model on iGibson dataset, the training loss is declining while the validation loss is rising, though the validation IOU seems fine. At begining, I thought the network was overfitting, then I stop the iteration as early as possible, but it did little a help the evaluation result in test dataset.
Hi authors, thank you for your great work.
I tried to train your network from scratch with
./configs/img/onet.yaml
. I find something weird that the validation loss is increasing during training though the validation IOU is getting better. I also evaluated the model and the result looks fine(0.584 mean IOU). I am wondering if the validation loss would be normal.Here is the screen shot for the loss curves.
The text was updated successfully, but these errors were encountered: