varcoder
/

segformer-b0-DeepCrack

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

 This model is a fine-tuned version of [nvidia/mit-b4](https://huggingface.co/nvidia/mit-b4) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0121
+- Mean Iou: 0.0096
+- Mean Accuracy: 0.0192
+- Overall Accuracy: 0.0192
 - Accuracy Background: nan
+- Accuracy Cracked: 0.0192
 - Iou Background: 0.0
+- Iou Cracked: 0.0192
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Cracked | Iou Background | Iou Cracked |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:----------------:|:--------------:|:-----------:|
+| 0.2068        | 0.13  | 20   | 0.1942          | 0.0041   | 0.0082        | 0.0082           | nan                 | 0.0082           | 0.0            | 0.0082      |
+| 0.0778        | 0.27  | 40   | 0.0679          | 0.0306   | 0.0612        | 0.0612           | nan                 | 0.0612           | 0.0            | 0.0612      |
+| 0.0325        | 0.4   | 60   | 0.0328          | 0.0167   | 0.0334        | 0.0334           | nan                 | 0.0334           | 0.0            | 0.0334      |
+| 0.0203        | 0.53  | 80   | 0.0191          | 0.0074   | 0.0148        | 0.0148           | nan                 | 0.0148           | 0.0            | 0.0148      |
+| 0.015         | 0.67  | 100  | 0.0152          | 0.0144   | 0.0288        | 0.0288           | nan                 | 0.0288           | 0.0            | 0.0288      |
+| 0.0139        | 0.8   | 120  | 0.0130          | 0.0074   | 0.0148        | 0.0148           | nan                 | 0.0148           | 0.0            | 0.0148      |
+| 0.016         | 0.93  | 140  | 0.0121          | 0.0096   | 0.0192        | 0.0192           | nan                 | 0.0192           | 0.0            | 0.0192      |
 ### Framework versions