Training in progress epoch 25

README.md

@@ -15,13 +15,13 @@ 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: 0.0191
-- Train Dice Coef: 0.7741
-- Train Iou: 0.6447
-- Validation Loss: 0.0231
-- Validation Dice Coef: 0.8503
-- Validation Iou: 0.7435
+- Train Dice Coef: 0.7761
+- Train Iou: 0.6466
+- Validation Loss: 0.0238
+- Validation Dice Coef: 0.8493
+- Validation Iou: 0.7419
 - Train Lr: 5e-06
-- Epoch: 24
+- Epoch: 25
 
 ## Model description
 
@@ -72,6 +72,7 @@ The following hyperparameters were used during training:
 | 0.0196     | 0.7749          | 0.6458    | 0.0234          | 0.8504               | 0.7436         | 5e-06    | 22    |
 | 0.0192     | 0.7756          | 0.6464    | 0.0236          | 0.8482               | 0.7407         | 5e-06    | 23    |
 | 0.0191     | 0.7741          | 0.6447    | 0.0231          | 0.8503               | 0.7435         | 5e-06    | 24    |
+| 0.0191     | 0.7761          | 0.6466    | 0.0238          | 0.8493               | 0.7419         | 5e-06    | 25    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:815e7c064aeb7e8e6e14b4d461bc2c950f58b14ae7dc0bd50c1bd2565dc37b6d
+oid sha256:a609e05ca20c2b3583bf932110b22d033f6f1843ddf8f16ed7f9a205d85eb57d
 size 15133664