Training in progress epoch 75

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: 0.0424
-- Train Dice Coef: 0.8811
-- Train Iou: 0.7897
-- Validation Loss: 0.0434
-- Validation Dice Coef: 0.8899
-- Validation Iou: 0.8028
+- Train Loss: 0.0432
+- Train Dice Coef: 0.8807
+- Train Iou: 0.7890
+- Validation Loss: 0.0430
+- Validation Dice Coef: 0.8897
+- Validation Iou: 0.8025
 - Train Lr: 1e-10
-- Epoch: 74
+- Epoch: 75
 
 ## Model description
 
@@ -122,6 +122,7 @@ The following hyperparameters were used during training:
 | 0.0427     | 0.8816          | 0.7902    | 0.0432          | 0.8898               | 0.8026         | 1e-10    | 72    |
 | 0.0426     | 0.8817          | 0.7904    | 0.0434          | 0.8891               | 0.8015         | 1e-10    | 73    |
 | 0.0424     | 0.8811          | 0.7897    | 0.0434          | 0.8899               | 0.8028         | 1e-10    | 74    |
+| 0.0432     | 0.8807          | 0.7890    | 0.0430          | 0.8897               | 0.8025         | 1e-10    | 75    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ee9b3b23f3abc7b72a5d9b7cc18aec3ebd612cb7120bc2d724ddd4331ccb118d
+oid sha256:daf063d048fcc3397487998272ffe968ce44444b62e5abdb33c3f67e1d8870ab
 size 15133664