Training in progress epoch 10

README.md

@@ -14,14 +14,14 @@ 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: 0.0750
-- Train Dice Coef: 0.8163
-- Train Iou: 0.6945
-- Validation Loss: 0.0581
-- Validation Dice Coef: 0.8627
-- Validation Iou: 0.7606
+- Train Loss: 0.0678
+- Train Dice Coef: 0.8306
+- Train Iou: 0.7138
+- Validation Loss: 0.0531
+- Validation Dice Coef: 0.8719
+- Validation Iou: 0.7745
 - Train Lr: 1e-04
-- Epoch: 9
+- Epoch: 10
 
 ## Model description
 
@@ -57,6 +57,7 @@ The following hyperparameters were used during training:
 | 0.0770     | 0.8107          | 0.6867    | 0.0530          | 0.8726               | 0.7756         | 1e-04    | 7     |
 | 0.0741     | 0.8160          | 0.6942    | 0.0512          | 0.8775               | 0.7832         | 1e-04    | 8     |
 | 0.0750     | 0.8163          | 0.6945    | 0.0581          | 0.8627               | 0.7606         | 1e-04    | 9     |
+| 0.0678     | 0.8306          | 0.7138    | 0.0531          | 0.8719               | 0.7745         | 1e-04    | 10    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:63a577c6d30cee39394c411d7422d123853b0777e405fd9d170416911d4274e6
+oid sha256:530448085ddb15ac156b9ddb8e33d86f91e6aca99f2d934fc5ccc7236dec5989
 size 15133664