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-b2](https://huggingface.co/nvidia/mit-b2) on the Onegafer/vehicle_segmentation dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2948
-- Mean Iou: 0.2111
-- Mean Accuracy: 0.4222
-- Overall Accuracy: 0.4222
-- Accuracy No: nan
-- Accuracy Yes: 0.4222
-- Iou No: 0.0
-- Iou Yes: 0.4222
+- Loss: 0.3350
+- Mean Iou: 0.3373
+- Mean Accuracy: 0.6746
+- Overall Accuracy: 0.6746
+- Accuracy Background: nan
+- Accuracy Windows: 0.6746
+- Iou Background: 0.0
+- Iou Windows: 0.6746
 
 ## Model description
 
@@ -52,9 +52,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy No | Accuracy Yes | Iou No | Iou Yes |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-----------:|:------------:|:------:|:-------:|
-| 0.3775        | 0.16  | 20   | 0.2948          | 0.2111   | 0.4222        | 0.4222           | nan         | 0.4222       | 0.0    | 0.4222  |
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Windows | Iou Background | Iou Windows |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:----------------:|:--------------:|:-----------:|
+| 0.4394        | 0.16  | 20   | 0.3350          | 0.3373   | 0.6746        | 0.6746           | nan                 | 0.6746           | 0.0            | 0.6746      |
 
 
 ### Framework versions