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segformer-b0-DeepCrack

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update model card README.md

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@@ -14,14 +14,14 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nvidia/mit-b4](https://huggingface.co/nvidia/mit-b4) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0145
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- - Mean Iou: 0.0585
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- - Mean Accuracy: 0.1170
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- - Overall Accuracy: 0.1170
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  - Accuracy Background: nan
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- - Accuracy Cracked: 0.1170
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  - Iou Background: 0.0
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- - Iou Cracked: 0.1170
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  ## Model description
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@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Cracked | Iou Background | Iou Cracked |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:----------------:|:--------------:|:-----------:|
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- | 0.3566 | 0.13 | 20 | 0.2932 | 0.0200 | 0.0401 | 0.0401 | nan | 0.0401 | 0.0 | 0.0401 |
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- | 0.1639 | 0.27 | 40 | 0.1326 | 0.1353 | 0.2706 | 0.2706 | nan | 0.2706 | 0.0 | 0.2706 |
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- | 0.0562 | 0.4 | 60 | 0.0548 | 0.0681 | 0.1363 | 0.1363 | nan | 0.1363 | 0.0 | 0.1363 |
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- | 0.0283 | 0.53 | 80 | 0.0294 | 0.0815 | 0.1630 | 0.1630 | nan | 0.1630 | 0.0 | 0.1630 |
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- | 0.0187 | 0.67 | 100 | 0.0194 | 0.0720 | 0.1439 | 0.1439 | nan | 0.1439 | 0.0 | 0.1439 |
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- | 0.0144 | 0.8 | 120 | 0.0160 | 0.0656 | 0.1313 | 0.1313 | nan | 0.1313 | 0.0 | 0.1313 |
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- | 0.0152 | 0.93 | 140 | 0.0145 | 0.0585 | 0.1170 | 0.1170 | nan | 0.1170 | 0.0 | 0.1170 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [nvidia/mit-b4](https://huggingface.co/nvidia/mit-b4) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0121
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+ - Mean Iou: 0.0096
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+ - Mean Accuracy: 0.0192
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+ - Overall Accuracy: 0.0192
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  - Accuracy Background: nan
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+ - Accuracy Cracked: 0.0192
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  - Iou Background: 0.0
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+ - Iou Cracked: 0.0192
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Cracked | Iou Background | Iou Cracked |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:----------------:|:--------------:|:-----------:|
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+ | 0.2068 | 0.13 | 20 | 0.1942 | 0.0041 | 0.0082 | 0.0082 | nan | 0.0082 | 0.0 | 0.0082 |
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+ | 0.0778 | 0.27 | 40 | 0.0679 | 0.0306 | 0.0612 | 0.0612 | nan | 0.0612 | 0.0 | 0.0612 |
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+ | 0.0325 | 0.4 | 60 | 0.0328 | 0.0167 | 0.0334 | 0.0334 | nan | 0.0334 | 0.0 | 0.0334 |
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+ | 0.0203 | 0.53 | 80 | 0.0191 | 0.0074 | 0.0148 | 0.0148 | nan | 0.0148 | 0.0 | 0.0148 |
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+ | 0.015 | 0.67 | 100 | 0.0152 | 0.0144 | 0.0288 | 0.0288 | nan | 0.0288 | 0.0 | 0.0288 |
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+ | 0.0139 | 0.8 | 120 | 0.0130 | 0.0074 | 0.0148 | 0.0148 | nan | 0.0148 | 0.0 | 0.0148 |
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+ | 0.016 | 0.93 | 140 | 0.0121 | 0.0096 | 0.0192 | 0.0192 | nan | 0.0192 | 0.0 | 0.0192 |
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  ### Framework versions