Training in progress epoch 18

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: 0.0576
-- Train Dice Coef: 0.8214
-- Train Iou: 0.7134
-- Validation Loss: 0.0459
+- Train Loss: 0.0577
+- Train Dice Coef: 0.8161
+- Train Iou: 0.7082
+- Validation Loss: 0.0458
 - Validation Dice Coef: 0.8838
 - Validation Iou: 0.7927
 - Train Lr: 5e-06
-- Epoch: 17
+- Epoch: 18
 
 ## Model description
 
@@ -65,6 +65,7 @@ The following hyperparameters were used during training:
 | 0.0595     | 0.8160          | 0.7064    | 0.0475          | 0.8810               | 0.7883         | 5e-06    | 15    |
 | 0.0589     | 0.8197          | 0.7115    | 0.0460          | 0.8835               | 0.7922         | 5e-06    | 16    |
 | 0.0576     | 0.8214          | 0.7134    | 0.0459          | 0.8838               | 0.7927         | 5e-06    | 17    |
+| 0.0577     | 0.8161          | 0.7082    | 0.0458          | 0.8838               | 0.7927         | 5e-06    | 18    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fd3f3943695c2a83cab69f1dd81ba4bd5112864fa327f013a1c928017263704f
+oid sha256:c92b72915a773a318c28b87cb13aef65fd84040a5742bc10ef92f41e60e0cd60
 size 15133664