Training in progress epoch 38

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: 0.0779
-- Validation Loss: 0.0975
-- Validation Mean Iou: 0.7727
-- Validation Mean Accuracy: 0.8769
-- Validation Overall Accuracy: 0.9692
-- Validation Accuracy Unlabeled: 0.7185
-- Validation Accuracy Objeto Interes: 0.9286
-- Validation Accuracy Agua: 0.9837
-- Validation Iou Unlabeled: 0.5349
-- Validation Iou Objeto Interes: 0.8075
-- Validation Iou Agua: 0.9757
-- Epoch: 37
+- Train Loss: 0.0756
+- Validation Loss: 0.0984
+- Validation Mean Iou: 0.7697
+- Validation Mean Accuracy: 0.8742
+- Validation Overall Accuracy: 0.9691
+- Validation Accuracy Unlabeled: 0.7003
+- Validation Accuracy Objeto Interes: 0.9385
+- Validation Accuracy Agua: 0.9838
+- Validation Iou Unlabeled: 0.5280
+- Validation Iou Objeto Interes: 0.8051
+- Validation Iou Agua: 0.9760
+- Epoch: 38
 
 ## Model description
 
@@ -90,6 +90,7 @@ The following hyperparameters were used during training:
 | 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    |
 | 0.0779     | 0.0975          | 0.7727              | 0.8769                   | 0.9692                      | 0.7185                        | 0.9286                             | 0.9837                   | 0.5349                   | 0.8075                        | 0.9757              | 37    |
+| 0.0756     | 0.0984          | 0.7697              | 0.8742                   | 0.9691                      | 0.7003                        | 0.9385                             | 0.9838                   | 0.5280                   | 0.8051                        | 0.9760              | 38    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1070c36ea8d6ac017dd878c199b5c5b5782c5330f2f0cda4b796a6e03ed5b70b
 size 54991500