Training in progress epoch 54

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: 0.0158
-- Train Dice Coef: 0.8074
-- Train Iou: 0.6853
-- Validation Loss: 0.0230
-- Validation Dice Coef: 0.8567
-- Validation Iou: 0.7514
-- Train Lr: 1.25e-08
-- Epoch: 53
+- Train Loss: 0.0160
+- Train Dice Coef: 0.8050
+- Train Iou: 0.6821
+- Validation Loss: 0.0229
+- Validation Dice Coef: 0.8563
+- Validation Iou: 0.7509
+- Train Lr: 6.25e-10
+- Epoch: 54
 
 ## Model description
 
@@ -101,6 +101,7 @@ The following hyperparameters were used during training:
 | 0.0161     | 0.8029          | 0.6802    | 0.0227          | 0.8570               | 0.7519         | 1.25e-08 | 51    |
 | 0.0160     | 0.8069          | 0.6843    | 0.0231          | 0.8556               | 0.7498         | 1.25e-08 | 52    |
 | 0.0158     | 0.8074          | 0.6853    | 0.0230          | 0.8567               | 0.7514         | 1.25e-08 | 53    |
+| 0.0160     | 0.8050          | 0.6821    | 0.0229          | 0.8563               | 0.7509         | 6.25e-10 | 54    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:df12a621f4eb8887c2ed1548c058883e60207964980fa0becb308b9f68219749
+oid sha256:044278dee243e16daba61b204094ce3228b26ed8f37c1d719e93d4b3a35eb5c4
 size 15133664