Training in progress epoch 27

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: 0.0931
-- 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
+- Train Loss: 0.0913
+- Validation Loss: 0.0899
+- Validation Mean Iou: 0.7685
+- Validation Mean Accuracy: 0.8547
+- Validation Overall Accuracy: 0.9701
+- Validation Accuracy Unlabeled: 0.6575
+- Validation Accuracy Objeto Interes: 0.9184
+- Validation Accuracy Agua: 0.9883
+- Validation Iou Unlabeled: 0.5192
+- Validation Iou Objeto Interes: 0.8096
+- Validation Iou Agua: 0.9768
+- Epoch: 27
 
 ## Model description
 
@@ -79,6 +79,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0913     | 0.0899          | 0.7685              | 0.8547                   | 0.9701                      | 0.6575                        | 0.9184                             | 0.9883                   | 0.5192                   | 0.8096                        | 0.9768              | 27    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ea6a7fe30a8103f10e23aa484d1ff479e7d0609e4402c42f9ed8fc7178c2fb88
 size 54991500