Training in progress epoch 13

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: 0.0626
-- Train Dice Coef: 0.8412
-- Train Iou: 0.7294
-- Validation Loss: 0.0496
-- Validation Dice Coef: 0.8789
-- Validation Iou: 0.7853
+- Train Loss: 0.0637
+- Train Dice Coef: 0.8383
+- Train Iou: 0.7257
+- Validation Loss: 0.0515
+- Validation Dice Coef: 0.8772
+- Validation Iou: 0.7828
 - Train Lr: 1e-04
-- Epoch: 12
+- Epoch: 13
 
 ## Model description
 
@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0637     | 0.8383          | 0.7257    | 0.0515          | 0.8772               | 0.7828         | 1e-04    | 13    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fe342d935d93e97eb0ba0a823a240af42d1b2f8d6db194d88837edcd23dc577d
+oid sha256:a8f81507071e85e2ad2c216c49d3b078c5c9a9a99ad3ff8fac3a4855ae51a036
 size 15133664