Training in progress epoch 37

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: 0.0800
-- 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
+- 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
 
 ## Model description
 
@@ -89,6 +89,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0779     | 0.0975          | 0.7727              | 0.8769                   | 0.9692                      | 0.7185                        | 0.9286                             | 0.9837                   | 0.5349                   | 0.8075                        | 0.9757              | 37    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
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+oid sha256:fa0fed7ca615eb3130e15db6ab097c8913cd6c768a5ad9e2710467d5fb0e96f2
 size 54991500