Training in progress epoch 24

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: 0.1038
-- Validation Loss: 0.1245
-- Validation Mean Iou: 0.7335
-- Validation Mean Accuracy: 0.8535
-- Validation Overall Accuracy: 0.9628
-- Validation Accuracy Unlabeled: 0.6322
-- Validation Accuracy Objeto Interes: 0.9488
-- Validation Accuracy Agua: 0.9794
-- Validation Iou Unlabeled: 0.4609
-- Validation Iou Objeto Interes: 0.7683
-- Validation Iou Agua: 0.9713
-- Epoch: 23
+- 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
 
 ## Model description
 
@@ -76,6 +76,7 @@ The following hyperparameters were used during training:
 | 0.1045     | 0.1099          | 0.7513              | 0.8565                   | 0.9664                      | 0.6570                        | 0.9288                             | 0.9835                   | 0.4959                   | 0.7841                        | 0.9739              | 21    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f3a59499341412a2135de45c3bf0721aadb4970942265f79c0a4c8f38cd66c70
 size 54991500