Training in progress epoch 18

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: 0.0051
-- Validation Loss: 0.0050
-- Validation Mean Iou: 0.5800
-- Validation Mean Accuracy: 0.6003
+- Train Loss: 0.0048
+- Validation Loss: 0.0047
+- Validation Mean Iou: 0.6598
+- Validation Mean Accuracy: 0.6878
 - Validation Overall Accuracy: 0.9984
-- Validation Accuracy Unlabeled: 0.6893
-- Validation Accuracy Notlabeled: 0.9999
-- Validation Accuracy Otherclass: 0.6644
-- Validation Accuracy Contrail: 0.0476
-- Validation Iou Unlabeled: 0.6707
+- Validation Accuracy Unlabeled: 0.8252
+- Validation Accuracy Notlabeled: 0.9998
+- Validation Accuracy Otherclass: 0.7809
+- Validation Accuracy Contrail: 0.1453
+- Validation Iou Unlabeled: 0.8013
 - Validation Iou Notlabeled: 0.9984
-- Validation Iou Otherclass: 0.6048
-- Validation Iou Contrail: 0.0462
-- Epoch: 17
+- Validation Iou Otherclass: 0.7095
+- Validation Iou Contrail: 0.1298
+- Epoch: 18
 
 ## Model description
 
@@ -72,6 +72,7 @@ The following hyperparameters were used during training:
 | 0.0060     | 0.0056          | 0.5133              | 0.5326                   | 0.9983                      | 0.4799                        | 1.0000                         | 0.6283                         | 0.0221                       | 0.4722                   | 0.9983                    | 0.5608                    | 0.0218                  | 15    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc326930a965db4c57611a91888506447cfba95009c5ab05542ab7a557652dd3
+oid sha256:47398e52e4f9a3087df2cb89ee0958dd3391ad9da1d04936ef26f374bf9bc908
 size 15135608