Training in progress epoch 30

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: 0.0188
-- Train Dice Coef: 0.7786
-- Train Iou: 0.6501
-- Validation Loss: 0.0241
-- Validation Dice Coef: 0.8484
-- Validation Iou: 0.7406
+- Train Loss: 0.0189
+- Train Dice Coef: 0.7815
+- Train Iou: 0.6520
+- Validation Loss: 0.0232
+- Validation Dice Coef: 0.8507
+- Validation Iou: 0.7439
 - Train Lr: 2.5e-07
-- Epoch: 29
+- Epoch: 30
 
 ## Model description
 
@@ -77,6 +77,7 @@ The following hyperparameters were used during training:
 | 0.0192     | 0.7729          | 0.6440    | 0.0234          | 0.8483               | 0.7414         | 2.5e-07  | 27    |
 | 0.0187     | 0.7849          | 0.6572    | 0.0241          | 0.8478               | 0.7398         | 2.5e-07  | 28    |
 | 0.0188     | 0.7786          | 0.6501    | 0.0241          | 0.8484               | 0.7406         | 2.5e-07  | 29    |
+| 0.0189     | 0.7815          | 0.6520    | 0.0232          | 0.8507               | 0.7439         | 2.5e-07  | 30    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5531b72ac62d821f4e74ef5bb3e09144fc97afc0bb38a18b9edc1e85c5907349
+oid sha256:277ebe9c645d4980718244d1e857d443a7b402de5fff773bcb1538e3d0ce48fa
 size 15133664