Training in progress epoch 26

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: 0.0961
-- Validation Loss: 0.0993
-- Validation Mean Iou: 0.7534
-- Validation Mean Accuracy: 0.8560
-- Validation Overall Accuracy: 0.9672
-- Validation Accuracy Unlabeled: 0.6481
-- Validation Accuracy Objeto Interes: 0.9356
-- Validation Accuracy Agua: 0.9844
-- Validation Iou Unlabeled: 0.4949
-- Validation Iou Objeto Interes: 0.7904
-- Validation Iou Agua: 0.9748
-- Epoch: 25
+- Train Loss: 0.0931
+- Validation Loss: 0.0977
+- Validation Mean Iou: 0.7616
+- Validation Mean Accuracy: 0.8574
+- Validation Overall Accuracy: 0.9684
+- Validation Accuracy Unlabeled: 0.6623
+- Validation Accuracy Objeto Interes: 0.9242
+- Validation Accuracy Agua: 0.9858
+- Validation Iou Unlabeled: 0.5099
+- Validation Iou Objeto Interes: 0.7995
+- Validation Iou Agua: 0.9754
+- Epoch: 26
 
 ## Model description
 
@@ -78,6 +78,7 @@ The following hyperparameters were used during training:
 | 0.1038     | 0.1245          | 0.7335              | 0.8535                   | 0.9628                      | 0.6322                        | 0.9488                             | 0.9794                   | 0.4609                   | 0.7683                        | 0.9713              | 23    |
 | 0.0989     | 0.1130          | 0.7476              | 0.8608                   | 0.9652                      | 0.6641                        | 0.9372                             | 0.9813                   | 0.4895                   | 0.7805                        | 0.9729              | 24    |
 | 0.0961     | 0.0993          | 0.7534              | 0.8560                   | 0.9672                      | 0.6481                        | 0.9356                             | 0.9844                   | 0.4949                   | 0.7904                        | 0.9748              | 25    |
+| 0.0931     | 0.0977          | 0.7616              | 0.8574                   | 0.9684                      | 0.6623                        | 0.9242                             | 0.9858                   | 0.5099                   | 0.7995                        | 0.9754              | 26    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9134f29029e2edc49aba937c4064fe3c1c84505b7ed5b8d52762199d9e5a8a99
 size 54991500