Training in progress epoch 29

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: 0.0029
-- Validation Loss: 0.0033
-- Validation Mean Iou: 0.8431
-- Validation Mean Accuracy: 0.8689
+- Train Loss: 0.0027
+- Validation Loss: 0.0034
+- Validation Mean Iou: 0.8337
+- Validation Mean Accuracy: 0.8539
 - Validation Overall Accuracy: 0.9988
-- Validation Accuracy Unlabeled: 0.9917
+- Validation Accuracy Unlabeled: 0.9945
 - Validation Accuracy Notlabeled: 0.9997
-- Validation Accuracy Otherclass: 0.9834
-- Validation Accuracy Contrail: 0.5011
-- Validation Iou Unlabeled: 0.9910
+- Validation Accuracy Otherclass: 0.9875
+- Validation Accuracy Contrail: 0.4341
+- Validation Iou Unlabeled: 0.9945
 - Validation Iou Notlabeled: 0.9988
-- Validation Iou Otherclass: 0.9653
-- Validation Iou Contrail: 0.4172
-- Epoch: 28
+- Validation Iou Otherclass: 0.9648
+- Validation Iou Contrail: 0.3767
+- Epoch: 29
 
 ## Model description
 
@@ -83,6 +83,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0027     | 0.0034          | 0.8337              | 0.8539                   | 0.9988                      | 0.9945                        | 0.9997                         | 0.9875                         | 0.4341                       | 0.9945                   | 0.9988                    | 0.9648                    | 0.3767                  | 29    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:37ac76643f204cd9a0e9ac02b092af63f812bc5823ba5b4a890f3eefda48ace2
+oid sha256:872e9deffad52cf5ae7ccb68b1e3fe20fdab6d7b20c0abd3e8beb94b9284b28e
 size 15135608