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Pseudo and EMA pseudo dice are 0.0 #2318

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ObedDzik opened this issue Jun 26, 2024 · 1 comment
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Pseudo and EMA pseudo dice are 0.0 #2318

ObedDzik opened this issue Jun 26, 2024 · 1 comment
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@ObedDzik
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I am using nnUNetv2 for a tumor segmentation task with dual channel input, PT and CT. Using the 2d configuration works well and I obtain realistic dice scores on the dataset. However, when I use the 3d_fullres configuration, I obtain 0 on both pseudo and EMA pseudo dice after about 10 epochs. I did not obtain any errors whatsoever in the preprocessing step. I have attached the learning curves. Is there something I am missing that could be causing this behaviour? I would greatly appreciate help on this, thank you.
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@ObedDzik
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ObedDzik commented Jul 3, 2024

I have been able to resolve this issue. The problem was with the default initial learning rate. I set it to a lower value (1e-4) and the model converges now.

@ObedDzik ObedDzik closed this as completed Jul 3, 2024
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