# Monai Label: accuracy not showing

**URL:** <https://discourse.slicer.org/t/monai-label-accuracy-not-showing/35957>\
**Category:** Support\
**Tags:** segmentation, monai, monailabel\
**Created:** [May 7, 2024, 7:58am UTC](https://discourse.slicer.org/t/monai-label-accuracy-not-showing/35957 "2024-05-07T07:58:41Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![ILB](https://avatars.discourse-cdn.com/v4/letter/i/e9c0ed/32.png) [@ILB](https://discourse.slicer.org/u/ILB)\
**Post date:** [May 7, 2024, 7:58am UTC](https://discourse.slicer.org/t/monai-label-accuracy-not-showing/35957/1 "2024-05-07T07:58:41Z")

</div>

Hi!  
I’m currently training a new model using Monai Label.

I start using this configuration:

`monailabel start_server --app apps/radiology --studies datasets/Task07_Pancreas/imagesTr --conf models deepedit --conf use_pretrained_model false`

I have already submitted 26 labels, and the accuracy bar is still 0. Is that normal?

Thank you!

 ![image](https://us1.discourse-cdn.com/flex002/uploads/slicer/original/3X/f/9/f9dbc352dae8e14f0902ca2b0e1b3947a532e54c.png)

---

<div class="post-metadata">

**Author:** ![ILB](https://avatars.discourse-cdn.com/v4/letter/i/e9c0ed/32.png) [@ILB](https://discourse.slicer.org/u/ILB)\
**Post date:** [May 7, 2024, 9:05am UTC](https://discourse.slicer.org/t/monai-label-accuracy-not-showing/35957/2 "2024-05-07T09:05:56Z")

</div>

i get this error:

```auto
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for DynUNet:
        size mismatch for input_block.conv1.conv.weight: copying a param with shape torch.Size([32, 5, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 2, 3, 3, 3]).
        size mismatch for input_block.conv3.conv.weight: copying a param with shape torch.Size([32, 5, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([32, 2, 1, 1, 1]).
        size mismatch for output_block.conv.conv.weight: copying a param with shape torch.Size([4, 32, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([1, 32, 1, 1, 1]).
        size mismatch for output_block.conv.conv.bias: copying a param with shape torch.Size([4]) from checkpoint, the shape in current model is torch.Size([1]).
        size mismatch for skip_layers.downsample.conv1.conv.weight: copying a param with shape torch.Size([32, 5, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([32, 2, 3, 3, 3]).
        size mismatch for skip_layers.downsample.conv3.conv.weight: copying a param with shape torch.Size([32, 5, 1, 1, 1]) from checkpoint, the shape in current model is torch.Size([32, 2, 1, 1, 1]).
[2024-05-07 11:00:27,144] [12688] [ThreadPoolExecutor-1_0] [INFO] (monailabel.utils.async_tasks.utils:83) - Return code: 1

```

i don’t know how to solve this