Training in progress epoch 81

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: 0.0419
-- Train Dice Coef: 0.8828
-- Train Iou: 0.7920
-- Validation Loss: 0.0431
-- Validation Dice Coef: 0.8901
-- Validation Iou: 0.8031
+- Train Loss: 0.0429
+- Train Dice Coef: 0.8812
+- Train Iou: 0.7897
+- Validation Loss: 0.0425
+- Validation Dice Coef: 0.8903
+- Validation Iou: 0.8034
 - Train Lr: 1e-10
-- Epoch: 80
+- Epoch: 81
 
 ## Model description
 
@@ -128,6 +128,7 @@ The following hyperparameters were used during training:
 | 0.0425     | 0.8817          | 0.7901    | 0.0428          | 0.8898               | 0.8026         | 1e-10    | 78    |
 | 0.0424     | 0.8818          | 0.7904    | 0.0434          | 0.8891               | 0.8015         | 1e-10    | 79    |
 | 0.0419     | 0.8828          | 0.7920    | 0.0431          | 0.8901               | 0.8031         | 1e-10    | 80    |
+| 0.0429     | 0.8812          | 0.7897    | 0.0425          | 0.8903               | 0.8034         | 1e-10    | 81    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:45bd9f185c0d9dadbe2b00ead25b3cef30decebba37f20d3d1e3e48e22ea4209
+oid sha256:c2387fa6864d8f3aa97bd10f86fbe599f330f38d6791fe2b7a8013ef2a7e64bf
 size 15133664