Training in progress epoch 12

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: 0.0659
-- Train Dice Coef: 0.8341
-- Train Iou: 0.7196
-- Validation Loss: 0.0519
-- Validation Dice Coef: 0.8738
-- Validation Iou: 0.7781
+- Train Loss: 0.0626
+- Train Dice Coef: 0.8412
+- Train Iou: 0.7294
+- Validation Loss: 0.0496
+- Validation Dice Coef: 0.8789
+- Validation Iou: 0.7853
 - Train Lr: 1e-04
-- Epoch: 11
+- Epoch: 12
 
 ## Model description
 
@@ -59,6 +59,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0626     | 0.8412          | 0.7294    | 0.0496          | 0.8789               | 0.7853         | 1e-04    | 12    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fe342d935d93e97eb0ba0a823a240af42d1b2f8d6db194d88837edcd23dc577d
 size 15133664