Training in progress epoch 76

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: 0.0519
-- Train Dice Coef: 0.8351
-- Train Iou: 0.7330
-- Validation Loss: 0.0445
-- Validation Dice Coef: 0.8852
-- Validation Iou: 0.7948
+- Train Loss: 0.0521
+- Train Dice Coef: 0.8423
+- Train Iou: 0.7406
+- Validation Loss: 0.0453
+- Validation Dice Coef: 0.8849
+- Validation Iou: 0.7945
 - Train Lr: 1e-10
-- Epoch: 75
+- Epoch: 76
 
 ## Model description
 
@@ -123,6 +123,7 @@ The following hyperparameters were used during training:
 | 0.0528     | 0.8468          | 0.7431    | 0.0452          | 0.8846               | 0.7939         | 1e-10    | 73    |
 | 0.0518     | 0.8455          | 0.7441    | 0.0449          | 0.8846               | 0.7940         | 1e-10    | 74    |
 | 0.0519     | 0.8351          | 0.7330    | 0.0445          | 0.8852               | 0.7948         | 1e-10    | 75    |
+| 0.0521     | 0.8423          | 0.7406    | 0.0453          | 0.8849               | 0.7945         | 1e-10    | 76    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d173285ed1c6af6dd0e399b0142b8ee5f251002a9d68dca435df2140c5e6ce18
+oid sha256:50b0ec04d006101333c7d8e72fa7342c480b4fc745552bd37f075ae72a38b7bc
 size 15133664