Training in progress epoch 33

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: 0.0889
-- Validation Loss: 0.1069
-- Validation Mean Iou: 0.7563
-- Validation Mean Accuracy: 0.8708
-- Validation Overall Accuracy: 0.9664
-- Validation Accuracy Unlabeled: 0.6864
-- Validation Accuracy Objeto Interes: 0.9450
-- Validation Accuracy Agua: 0.9811
-- Validation Iou Unlabeled: 0.5038
-- Validation Iou Objeto Interes: 0.7913
-- Validation Iou Agua: 0.9738
-- Epoch: 32
+- Train Loss: 0.0836
+- Validation Loss: 0.0913
+- Validation Mean Iou: 0.7707
+- Validation Mean Accuracy: 0.8617
+- Validation Overall Accuracy: 0.9702
+- Validation Accuracy Unlabeled: 0.6714
+- Validation Accuracy Objeto Interes: 0.9265
+- Validation Accuracy Agua: 0.9873
+- Validation Iou Unlabeled: 0.5265
+- Validation Iou Objeto Interes: 0.8086
+- Validation Iou Agua: 0.9770
+- Epoch: 33
 
 ## Model description
 
@@ -85,6 +85,7 @@ The following hyperparameters were used during training:
 | 0.0919     | 0.1239          | 0.7405              | 0.8590                   | 0.9641                      | 0.6442                        | 0.9526                             | 0.9801                   | 0.4707                   | 0.7784                        | 0.9725              | 30    |
 | 0.0925     | 0.0990          | 0.7699              | 0.8629                   | 0.9696                      | 0.6859                        | 0.9163                             | 0.9865                   | 0.5271                   | 0.8067                        | 0.9761              | 31    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
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+oid sha256:64c8e16ba72d2e281401f3104b5e0a0028795adcfaa51e44afd04301ab21fad1
 size 54991500