Training in progress epoch 36

README.md

@@ -15,18 +15,18 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nvidia/mit-b1](https://huggingface.co/nvidia/mit-b1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0803
-- Validation Loss: 0.0981
-- Validation Mean Iou: 0.7699
-- Validation Mean Accuracy: 0.8721
-- Validation Overall Accuracy: 0.9691
-- Validation Accuracy Unlabeled: 0.6987
-- Validation Accuracy Objeto Interes: 0.9334
-- Validation Accuracy Agua: 0.9843
-- Validation Iou Unlabeled: 0.5291
-- Validation Iou Objeto Interes: 0.8046
-- Validation Iou Agua: 0.9759
-- Epoch: 35
+- Train Loss: 0.0800
+- Validation Loss: 0.1018
+- Validation Mean Iou: 0.7597
+- Validation Mean Accuracy: 0.8681
+- Validation Overall Accuracy: 0.9678
+- Validation Accuracy Unlabeled: 0.6728
+- Validation Accuracy Objeto Interes: 0.9485
+- Validation Accuracy Agua: 0.9830
+- Validation Iou Unlabeled: 0.5104
+- Validation Iou Objeto Interes: 0.7935
+- Validation Iou Agua: 0.9752
+- Epoch: 36
 
 ## Model description
 
@@ -88,6 +88,7 @@ The following hyperparameters were used during training:
 | 0.0836     | 0.0913          | 0.7707              | 0.8617                   | 0.9702                      | 0.6714                        | 0.9265                             | 0.9873                   | 0.5265                   | 0.8086                        | 0.9770              | 33    |
 | 0.0822     | 0.1041          | 0.7645              | 0.8788                   | 0.9672                      | 0.7170                        | 0.9383                             | 0.9809                   | 0.5161                   | 0.8035                        | 0.9740              | 34    |
 | 0.0803     | 0.0981          | 0.7699              | 0.8721                   | 0.9691                      | 0.6987                        | 0.9334                             | 0.9843                   | 0.5291                   | 0.8046                        | 0.9759              | 35    |
+| 0.0800     | 0.1018          | 0.7597              | 0.8681                   | 0.9678                      | 0.6728                        | 0.9485                             | 0.9830                   | 0.5104                   | 0.7935                        | 0.9752              | 36    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:58eb0cae9055748ae9c714b646a7237277d6fd3a249896f19bc00cd706d6b35b
 size 54991500