Training in progress epoch 28

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: 0.0913
-- 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
+- Train Loss: 0.0899
+- Validation Loss: 0.0984
+- Validation Mean Iou: 0.7572
+- Validation Mean Accuracy: 0.8550
+- Validation Overall Accuracy: 0.9683
+- Validation Accuracy Unlabeled: 0.6393
+- Validation Accuracy Objeto Interes: 0.9398
+- Validation Accuracy Agua: 0.9858
+- Validation Iou Unlabeled: 0.5015
+- Validation Iou Objeto Interes: 0.7940
+- Validation Iou Agua: 0.9759
+- Epoch: 28
 
 ## Model description
 
@@ -80,6 +80,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0899     | 0.0984          | 0.7572              | 0.8550                   | 0.9683                      | 0.6393                        | 0.9398                             | 0.9858                   | 0.5015                   | 0.7940                        | 0.9759              | 28    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:0af84245ffb758aad337229547720c8c9f6d00acb029b6ac922cf21f4bf7f825
 size 54991500