Training in progress epoch 39

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: 0.0756
-- 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
+- Train Loss: 0.0787
+- Validation Loss: 0.1007
+- Validation Mean Iou: 0.7646
+- Validation Mean Accuracy: 0.8701
+- Validation Overall Accuracy: 0.9687
+- Validation Accuracy Unlabeled: 0.6791
+- Validation Accuracy Objeto Interes: 0.9475
 - Validation Accuracy Agua: 0.9838
-- Validation Iou Unlabeled: 0.5280
-- Validation Iou Objeto Interes: 0.8051
+- Validation Iou Unlabeled: 0.5173
+- Validation Iou Objeto Interes: 0.8005
 - Validation Iou Agua: 0.9760
-- Epoch: 38
+- Epoch: 39
 
 ## Model description
 
@@ -91,6 +91,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0787     | 0.1007          | 0.7646              | 0.8701                   | 0.9687                      | 0.6791                        | 0.9475                             | 0.9838                   | 0.5173                   | 0.8005                        | 0.9760              | 39    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1070c36ea8d6ac017dd878c199b5c5b5782c5330f2f0cda4b796a6e03ed5b70b
+oid sha256:83e3e4d515728c7233fe9b2e42cb393597ab6ae8fce62c8e21b223d9189a36ef
 size 54991500