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Validation Loss Increasing

Open JiangWenPL opened this issue 3 years ago • 1 comments

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. image

JiangWenPL avatar Oct 26 '21 20:10 JiangWenPL

@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.

fangchuan avatar Oct 09 '22 02:10 fangchuan