Training in progress epoch 9

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: 0.1645
-- Validation Loss: 0.1638
-- Validation Mean Iou: 0.7110
-- Validation Mean Accuracy: 0.8204
-- Validation Overall Accuracy: 0.9586
-- Validation Accuracy Unlabeled: 0.6026
-- Validation Accuracy Objeto Interes: 0.8779
-- Validation Accuracy Agua: 0.9808
-- Validation Iou Unlabeled: 0.4292
-- Validation Iou Objeto Interes: 0.7369
-- Validation Iou Agua: 0.9670
-- Epoch: 8
+- Train Loss: 0.1574
+- Validation Loss: 0.1359
+- Validation Mean Iou: 0.7140
+- Validation Mean Accuracy: 0.8058
+- Validation Overall Accuracy: 0.9616
+- Validation Accuracy Unlabeled: 0.5380
+- Validation Accuracy Objeto Interes: 0.8933
+- Validation Accuracy Agua: 0.9861
+- Validation Iou Unlabeled: 0.4197
+- Validation Iou Objeto Interes: 0.7527
+- Validation Iou Agua: 0.9695
+- Epoch: 9
 
 ## Model description
 
@@ -61,6 +61,7 @@ The following hyperparameters were used during training:
 | 0.1943     | 0.1820          | 0.6721              | 0.7704                   | 0.9559                      | 0.4301                        | 0.8964                             | 0.9847                   | 0.3423                   | 0.7083                        | 0.9658              | 6     |
 | 0.1835     | 0.2237          | 0.6866              | 0.8243                   | 0.9510                      | 0.5945                        | 0.9077                             | 0.9707                   | 0.3844                   | 0.7151                        | 0.9601              | 7     |
 | 0.1645     | 0.1638          | 0.7110              | 0.8204                   | 0.9586                      | 0.6026                        | 0.8779                             | 0.9808                   | 0.4292                   | 0.7369                        | 0.9670              | 8     |
+| 0.1574     | 0.1359          | 0.7140              | 0.8058                   | 0.9616                      | 0.5380                        | 0.8933                             | 0.9861                   | 0.4197                   | 0.7527                        | 0.9695              | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:89cb377007cd87fc7d2cb9c01954ea2a8777e6f68fb9da1dc6e4856f7b871929
 size 54991500