Training in progress epoch 74

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: 0.0528
-- Train Dice Coef: 0.8468
-- Train Iou: 0.7431
-- Validation Loss: 0.0452
+- Train Loss: 0.0518
+- Train Dice Coef: 0.8455
+- Train Iou: 0.7441
+- Validation Loss: 0.0449
 - Validation Dice Coef: 0.8846
-- Validation Iou: 0.7939
+- Validation Iou: 0.7940
 - Train Lr: 1e-10
-- Epoch: 73
+- Epoch: 74
 
 ## Model description
 
@@ -121,6 +121,7 @@ The following hyperparameters were used during training:
 | 0.0520     | 0.8446          | 0.7429    | 0.0463          | 0.8828               | 0.7911         | 1e-10    | 71    |
 | 0.0520     | 0.8364          | 0.7345    | 0.0454          | 0.8841               | 0.7933         | 1e-10    | 72    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fd3d3df2e749d2747bdeaaa54dce8664cdf6964b54e1dadaaacf75f834c6114a
+oid sha256:abaef83581439d42689f19cc59036757b40d24d6cded992b91da5be784b8d2b9
 size 15133664