Training in progress epoch 24

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: 0.0035
-- Validation Loss: 0.0038
-- Validation Mean Iou: 0.7683
-- Validation Mean Accuracy: 0.8089
+- Train Loss: 0.0034
+- Validation Loss: 0.0037
+- Validation Mean Iou: 0.7905
+- Validation Mean Accuracy: 0.8212
 - Validation Overall Accuracy: 0.9986
-- Validation Accuracy Unlabeled: 0.9667
-- Validation Accuracy Notlabeled: 0.9997
-- Validation Accuracy Otherclass: 0.9334
-- Validation Accuracy Contrail: 0.3359
-- Validation Iou Unlabeled: 0.9356
+- Validation Accuracy Unlabeled: 0.9639
+- Validation Accuracy Notlabeled: 0.9996
+- Validation Accuracy Otherclass: 0.9182
+- Validation Accuracy Contrail: 0.4031
+- Validation Iou Unlabeled: 0.9508
 - Validation Iou Notlabeled: 0.9986
-- Validation Iou Otherclass: 0.8546
-- Validation Iou Contrail: 0.2843
-- Epoch: 23
+- Validation Iou Otherclass: 0.8856
+- Validation Iou Contrail: 0.3270
+- Epoch: 24
 
 ## Model description
 
@@ -78,6 +78,7 @@ The following hyperparameters were used during training:
 | 0.0039     | 0.0045          | 0.6824              | 0.6971                   | 0.9985                      | 0.8710                        | 0.9999                         | 0.7933                         | 0.1243                       | 0.8579                   | 0.9985                    | 0.7546                    | 0.1186                  | 21    |
 | 0.0038     | 0.0041          | 0.7516              | 0.7748                   | 0.9985                      | 0.9612                        | 0.9998                         | 0.8779                         | 0.2605                       | 0.9397                   | 0.9985                    | 0.8395                    | 0.2287                  | 22    |
 | 0.0035     | 0.0038          | 0.7683              | 0.8089                   | 0.9986                      | 0.9667                        | 0.9997                         | 0.9334                         | 0.3359                       | 0.9356                   | 0.9986                    | 0.8546                    | 0.2843                  | 23    |
+| 0.0034     | 0.0037          | 0.7905              | 0.8212                   | 0.9986                      | 0.9639                        | 0.9996                         | 0.9182                         | 0.4031                       | 0.9508                   | 0.9986                    | 0.8856                    | 0.3270                  | 24    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b20952df67cc148d8e97df6452022b19d64e1c531bc97c6e9fcb382e35cb9233
+oid sha256:6af97aa728f7f1be49d248c8abac09b5034368728660f513d030a9bd2de86bfc
 size 15135608