Training in progress epoch 11

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: 0.0678
-- Train Dice Coef: 0.8306
-- Train Iou: 0.7138
-- Validation Loss: 0.0531
-- Validation Dice Coef: 0.8719
-- Validation Iou: 0.7745
+- Train Loss: 0.0659
+- Train Dice Coef: 0.8341
+- Train Iou: 0.7196
+- Validation Loss: 0.0519
+- Validation Dice Coef: 0.8738
+- Validation Iou: 0.7781
 - Train Lr: 1e-04
-- Epoch: 10
+- Epoch: 11
 
 ## Model description
 
@@ -58,6 +58,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0659     | 0.8341          | 0.7196    | 0.0519          | 0.8738               | 0.7781         | 1e-04    | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:530448085ddb15ac156b9ddb8e33d86f91e6aca99f2d934fc5ccc7236dec5989
+oid sha256:6b82f72b1e8ae99c3ab340b1c81cf1e1d1257524398efa4fabfaa4dcbca0a531
 size 15133664