Training in progress epoch 73

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: 0.0520
-- Train Dice Coef: 0.8364
-- Train Iou: 0.7345
-- Validation Loss: 0.0454
-- Validation Dice Coef: 0.8841
-- Validation Iou: 0.7933
+- Train Loss: 0.0528
+- Train Dice Coef: 0.8468
+- Train Iou: 0.7431
+- Validation Loss: 0.0452
+- Validation Dice Coef: 0.8846
+- Validation Iou: 0.7939
 - Train Lr: 1e-10
-- Epoch: 72
+- Epoch: 73
 
 ## Model description
 
@@ -120,6 +120,7 @@ The following hyperparameters were used during training:
 | 0.0522     | 0.8487          | 0.7473    | 0.0455          | 0.8835               | 0.7923         | 1e-10    | 70    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dc7166c9e12fc9a8c8922ee37c7230cdef4ce444e993386ee5a2ea28f7738184
+oid sha256:fd3d3df2e749d2747bdeaaa54dce8664cdf6964b54e1dadaaacf75f834c6114a
 size 15133664