Training in progress epoch 6

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: 0.2075
-- Validation Loss: 0.2243
-- Validation Mean Iou: 0.6606
-- Validation Mean Accuracy: 0.7809
-- Validation Overall Accuracy: 0.9501
-- Validation Accuracy Unlabeled: 0.4690
-- Validation Accuracy Objeto Interes: 0.8975
-- Validation Accuracy Agua: 0.9764
-- Validation Iou Unlabeled: 0.3332
-- Validation Iou Objeto Interes: 0.6879
-- Validation Iou Agua: 0.9608
-- Epoch: 5
+- Train Loss: 0.1943
+- Validation Loss: 0.1820
+- Validation Mean Iou: 0.6721
+- Validation Mean Accuracy: 0.7704
+- Validation Overall Accuracy: 0.9559
+- Validation Accuracy Unlabeled: 0.4301
+- Validation Accuracy Objeto Interes: 0.8964
+- Validation Accuracy Agua: 0.9847
+- Validation Iou Unlabeled: 0.3423
+- Validation Iou Objeto Interes: 0.7083
+- Validation Iou Agua: 0.9658
+- Epoch: 6
 
 ## Model description
 
@@ -58,6 +58,7 @@ The following hyperparameters were used during training:
 | 0.2846     | 0.2434          | 0.6188              | 0.7343                   | 0.9442                      | 0.3415                        | 0.8847                             | 0.9767                   | 0.2514                   | 0.6486                        | 0.9564              | 3     |
 | 0.2383     | 0.2245          | 0.6401              | 0.7568                   | 0.9469                      | 0.4203                        | 0.8735                             | 0.9767                   | 0.2975                   | 0.6644                        | 0.9586              | 4     |
 | 0.2075     | 0.2243          | 0.6606              | 0.7809                   | 0.9501                      | 0.4690                        | 0.8975                             | 0.9764                   | 0.3332                   | 0.6879                        | 0.9608              | 5     |
+| 0.1943     | 0.1820          | 0.6721              | 0.7704                   | 0.9559                      | 0.4301                        | 0.8964                             | 0.9847                   | 0.3423                   | 0.7083                        | 0.9658              | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
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+oid sha256:8affd475e5e63818869c8e343492b12821d7034e6c618a4e731b78c8ad62553b
 size 54991500