Training in progress epoch 27

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: 0.0534
-- Train Dice Coef: 0.8391
-- Train Iou: 0.7355
-- Validation Loss: 0.0438
-- Validation Dice Coef: 0.8872
-- Validation Iou: 0.7982
+- Train Loss: 0.0538
+- Train Dice Coef: 0.8350
+- Train Iou: 0.7310
+- Validation Loss: 0.0447
+- Validation Dice Coef: 0.8846
+- Validation Iou: 0.7941
 - Train Lr: 5e-06
-- Epoch: 26
+- Epoch: 27
 
 ## Model description
 
@@ -74,6 +74,7 @@ The following hyperparameters were used during training:
 | 0.0548     | 0.8254          | 0.7212    | 0.0459          | 0.8832               | 0.7919         | 5e-06    | 24    |
 | 0.0552     | 0.8331          | 0.7281    | 0.0452          | 0.8833               | 0.7920         | 5e-06    | 25    |
 | 0.0534     | 0.8391          | 0.7355    | 0.0438          | 0.8872               | 0.7982         | 5e-06    | 26    |
+| 0.0538     | 0.8350          | 0.7310    | 0.0447          | 0.8846               | 0.7941         | 5e-06    | 27    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c488fc10914118aafb8399bdca30c7c0a260034e5faa8aae62c6a03e15fb413a
+oid sha256:d52b055274cb40ee848f8ec4584319dc170f98c9b488b2769fcff74d9a0b3120
 size 15133664