update model card README.md

README.md

@@ -16,14 +16,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the Grizzlygg/CrownTest dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5892
-- Mean Iou: 0.4348
-- Mean Accuracy: 0.8697
-- Overall Accuracy: 0.8697
+- Loss: 0.7268
+- Mean Iou: 0.3888
+- Mean Accuracy: 0.7776
+- Overall Accuracy: 0.7776
 - Accuracy Unlabeled: nan
-- Accuracy Crown: 0.8697
+- Accuracy Crown: 0.7776
 - Iou Unlabeled: 0.0
-- Iou Crown: 0.8697
+- Iou Crown: 0.7776
 
 ## Model description
 
@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Crown | Iou Unlabeled | Iou Crown |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:--------------:|:-------------:|:---------:|
-| 0.3438        | 10.0  | 20   | 0.5640          | 0.3765   | 0.7530        | 0.7530           | nan                | 0.7530         | 0.0           | 0.7530    |
-| 0.2291        | 20.0  | 40   | 0.5663          | 0.4096   | 0.8191        | 0.8191           | nan                | 0.8191         | 0.0           | 0.8191    |
-| 0.182         | 30.0  | 60   | 0.6148          | 0.4013   | 0.8025        | 0.8025           | nan                | 0.8025         | 0.0           | 0.8025    |
-| 0.1693        | 40.0  | 80   | 0.5854          | 0.4155   | 0.8311        | 0.8311           | nan                | 0.8311         | 0.0           | 0.8311    |
-| 0.1909        | 50.0  | 100  | 0.5892          | 0.4348   | 0.8697        | 0.8697           | nan                | 0.8697         | 0.0           | 0.8697    |
+| 0.3303        | 10.0  | 20   | 0.6046          | 0.3722   | 0.7444        | 0.7444           | nan                | 0.7444         | 0.0           | 0.7444    |
+| 0.2269        | 20.0  | 40   | 0.6817          | 0.3613   | 0.7226        | 0.7226           | nan                | 0.7226         | 0.0           | 0.7226    |
+| 0.1893        | 30.0  | 60   | 0.7231          | 0.3717   | 0.7435        | 0.7435           | nan                | 0.7435         | 0.0           | 0.7435    |
+| 0.185         | 40.0  | 80   | 0.7688          | 0.3880   | 0.7760        | 0.7760           | nan                | 0.7760         | 0.0           | 0.7760    |
+| 0.1704        | 50.0  | 100  | 0.7268          | 0.3888   | 0.7776        | 0.7776           | nan                | 0.7776         | 0.0           | 0.7776    |
 
 
 ### Framework versions