Training in progress epoch 35

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: 0.0822
-- Validation Loss: 0.1041
-- Validation Mean Iou: 0.7645
-- Validation Mean Accuracy: 0.8788
-- Validation Overall Accuracy: 0.9672
-- Validation Accuracy Unlabeled: 0.7170
-- Validation Accuracy Objeto Interes: 0.9383
-- Validation Accuracy Agua: 0.9809
-- Validation Iou Unlabeled: 0.5161
-- Validation Iou Objeto Interes: 0.8035
-- Validation Iou Agua: 0.9740
-- Epoch: 34
+- 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
 
 ## Model description
 
@@ -87,6 +87,7 @@ The following hyperparameters were used during training:
 | 0.0889     | 0.1069          | 0.7563              | 0.8708                   | 0.9664                      | 0.6864                        | 0.9450                             | 0.9811                   | 0.5038                   | 0.7913                        | 0.9738              | 32    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
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+oid sha256:5ab7af84ec51381cf74cd7f6966060b84ade394a3b509b2746684db41e799aae
 size 54991500