Training in progress epoch 19

README.md

@@ -15,20 +15,20 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0048
-- Validation Loss: 0.0047
-- Validation Mean Iou: 0.6598
-- Validation Mean Accuracy: 0.6878
+- Train Loss: 0.0045
+- Validation Loss: 0.0045
+- Validation Mean Iou: 0.6596
+- Validation Mean Accuracy: 0.7122
 - Validation Overall Accuracy: 0.9984
-- Validation Accuracy Unlabeled: 0.8252
+- Validation Accuracy Unlabeled: 0.9057
 - Validation Accuracy Notlabeled: 0.9998
-- Validation Accuracy Otherclass: 0.7809
-- Validation Accuracy Contrail: 0.1453
-- Validation Iou Unlabeled: 0.8013
+- Validation Accuracy Otherclass: 0.7739
+- Validation Accuracy Contrail: 0.1693
+- Validation Iou Unlabeled: 0.8117
 - Validation Iou Notlabeled: 0.9984
-- Validation Iou Otherclass: 0.7095
-- Validation Iou Contrail: 0.1298
-- Epoch: 18
+- Validation Iou Otherclass: 0.6774
+- Validation Iou Contrail: 0.1508
+- Epoch: 19
 
 ## Model description
 
@@ -73,6 +73,7 @@ The following hyperparameters were used during training:
 | 0.0055     | 0.0056          | 0.5975              | 0.6504                   | 0.9984                      | 0.7018                        | 0.9999                         | 0.8058                         | 0.0942                       | 0.6731                   | 0.9984                    | 0.6317                    | 0.0868                  | 16    |
 | 0.0051     | 0.0050          | 0.5800              | 0.6003                   | 0.9984                      | 0.6893                        | 0.9999                         | 0.6644                         | 0.0476                       | 0.6707                   | 0.9984                    | 0.6048                    | 0.0462                  | 17    |
 | 0.0048     | 0.0047          | 0.6598              | 0.6878                   | 0.9984                      | 0.8252                        | 0.9998                         | 0.7809                         | 0.1453                       | 0.8013                   | 0.9984                    | 0.7095                    | 0.1298                  | 18    |
+| 0.0045     | 0.0045          | 0.6596              | 0.7122                   | 0.9984                      | 0.9057                        | 0.9998                         | 0.7739                         | 0.1693                       | 0.8117                   | 0.9984                    | 0.6774                    | 0.1508                  | 19    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:47398e52e4f9a3087df2cb89ee0958dd3391ad9da1d04936ef26f374bf9bc908
+oid sha256:c7c934112646f079aa3981e7cdaf90215ed036b77de0408a40d8d7ac2c4efb90
 size 15135608