Training in progress epoch 28

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: 0.0030
-- Validation Loss: 0.0035
-- Validation Mean Iou: 0.8204
-- Validation Mean Accuracy: 0.8392
-- Validation Overall Accuracy: 0.9987
-- Validation Accuracy Unlabeled: 0.9736
+- Train Loss: 0.0029
+- Validation Loss: 0.0033
+- Validation Mean Iou: 0.8431
+- Validation Mean Accuracy: 0.8689
+- Validation Overall Accuracy: 0.9988
+- Validation Accuracy Unlabeled: 0.9917
 - Validation Accuracy Notlabeled: 0.9997
-- Validation Accuracy Otherclass: 0.9820
-- Validation Accuracy Contrail: 0.4015
-- Validation Iou Unlabeled: 0.9736
-- Validation Iou Notlabeled: 0.9987
-- Validation Iou Otherclass: 0.9659
-- Validation Iou Contrail: 0.3435
-- Epoch: 27
+- Validation Accuracy Otherclass: 0.9834
+- Validation Accuracy Contrail: 0.5011
+- Validation Iou Unlabeled: 0.9910
+- Validation Iou Notlabeled: 0.9988
+- Validation Iou Otherclass: 0.9653
+- Validation Iou Contrail: 0.4172
+- Epoch: 28
 
 ## Model description
 
@@ -82,6 +82,7 @@ The following hyperparameters were used during training:
 | 0.0032     | 0.0037          | 0.7938              | 0.8154                   | 0.9987                      | 0.9515                        | 0.9997                         | 0.9112                         | 0.3992                       | 0.9469                   | 0.9987                    | 0.8939                    | 0.3358                  | 25    |
 | 0.0031     | 0.0036          | 0.8250              | 0.8524                   | 0.9988                      | 0.9806                        | 0.9996                         | 0.9431                         | 0.4864                       | 0.9772                   | 0.9988                    | 0.9315                    | 0.3924                  | 26    |
 | 0.0030     | 0.0035          | 0.8204              | 0.8392                   | 0.9987                      | 0.9736                        | 0.9997                         | 0.9820                         | 0.4015                       | 0.9736                   | 0.9987                    | 0.9659                    | 0.3435                  | 27    |
+| 0.0029     | 0.0033          | 0.8431              | 0.8689                   | 0.9988                      | 0.9917                        | 0.9997                         | 0.9834                         | 0.5011                       | 0.9910                   | 0.9988                    | 0.9653                    | 0.4172                  | 28    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a5c6ff037b4d0ecdb7545e13656ceb1ee565c4ab43a81a13af5f5bc4ff853f53
+oid sha256:37ac76643f204cd9a0e9ac02b092af63f812bc5823ba5b4a890f3eefda48ace2
 size 15135608