Training in progress epoch 25

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: 0.0989
-- Validation Loss: 0.1130
-- Validation Mean Iou: 0.7476
-- Validation Mean Accuracy: 0.8608
-- Validation Overall Accuracy: 0.9652
-- Validation Accuracy Unlabeled: 0.6641
-- Validation Accuracy Objeto Interes: 0.9372
-- Validation Accuracy Agua: 0.9813
-- Validation Iou Unlabeled: 0.4895
-- Validation Iou Objeto Interes: 0.7805
-- Validation Iou Agua: 0.9729
-- Epoch: 24
+- 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
 
 ## Model description
 
@@ -77,6 +77,7 @@ The following hyperparameters were used during training:
 | 0.1031     | 0.1045          | 0.7511              | 0.8522                   | 0.9668                      | 0.6398                        | 0.9323                             | 0.9846                   | 0.4911                   | 0.7878                        | 0.9743              | 22    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4bd32bf29fb197d1228e8f6a731feb56a98314912dde13fc751957fc4a3756c1
 size 54991500