Training in progress epoch 48

README.md

@@ -16,19 +16,19 @@ 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: 0.0017
-- Validation Loss: 0.0029
-- Validation Mean Iou: 0.9043
-- Validation Mean Accuracy: 0.9362
-- Validation Overall Accuracy: 0.9992
+- Validation Loss: 0.0027
+- Validation Mean Iou: 0.9060
+- Validation Mean Accuracy: 0.9365
+- Validation Overall Accuracy: 0.9993
 - Validation Accuracy Unlabeled: 1.0
 - Validation Accuracy Notlabeled: 0.9997
 - Validation Accuracy Otherclass: 0.9986
-- Validation Accuracy Contrail: 0.7466
+- Validation Accuracy Contrail: 0.7477
 - Validation Iou Unlabeled: 1.0
-- Validation Iou Notlabeled: 0.9992
+- Validation Iou Notlabeled: 0.9993
 - Validation Iou Otherclass: 0.9979
-- Validation Iou Contrail: 0.6202
-- Epoch: 47
+- Validation Iou Contrail: 0.6270
+- Epoch: 48
 
 ## Model description
 
@@ -102,6 +102,7 @@ The following hyperparameters were used during training:
 | 0.0019     | 0.0027          | 0.9028              | 0.9385                   | 0.9992                      | 1.0                           | 0.9996                         | 1.0                            | 0.7543                       | 1.0                      | 0.9992                    | 0.9993                    | 0.6125                  | 45    |
 | 0.0017     | 0.0028          | 0.9048              | 0.9362                   | 0.9992                      | 1.0                           | 0.9997                         | 1.0                            | 0.7453                       | 1.0                      | 0.9992                    | 1.0                       | 0.6199                  | 46    |
 | 0.0017     | 0.0029          | 0.9043              | 0.9362                   | 0.9992                      | 1.0                           | 0.9997                         | 0.9986                         | 0.7466                       | 1.0                      | 0.9992                    | 0.9979                    | 0.6202                  | 47    |
+| 0.0017     | 0.0027          | 0.9060              | 0.9365                   | 0.9993                      | 1.0                           | 0.9997                         | 0.9986                         | 0.7477                       | 1.0                      | 0.9993                    | 0.9979                    | 0.6270                  | 48    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4f68ad7c2b3f61ec76a4c0e63568d39167d3510f2a7c52eb9aa6232d11408d79
+oid sha256:dff87bd1de9a8a92f8bc8de64ca41c28c63344c18b445fec50eb11b0fece11ea
 size 15135608