Training in progress epoch 88

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: 0.0185
-- Train Dice Coef: 0.7814
-- Train Iou: 0.6534
-- Validation Loss: 0.0235
+- Train Loss: 0.0186
+- Train Dice Coef: 0.7762
+- Train Iou: 0.6472
+- Validation Loss: 0.0234
 - Validation Dice Coef: 0.8490
-- Validation Iou: 0.7414
+- Validation Iou: 0.7415
 - Train Lr: 1e-10
-- Epoch: 87
+- Epoch: 88
 
 ## Model description
 
@@ -135,6 +135,7 @@ The following hyperparameters were used during training:
 | 0.0189     | 0.7758          | 0.6472    | 0.0234          | 0.8484               | 0.7414         | 1e-10    | 85    |
 | 0.0185     | 0.7735          | 0.6460    | 0.0234          | 0.8492               | 0.7417         | 1e-10    | 86    |
 | 0.0185     | 0.7814          | 0.6534    | 0.0235          | 0.8490               | 0.7414         | 1e-10    | 87    |
+| 0.0186     | 0.7762          | 0.6472    | 0.0234          | 0.8490               | 0.7415         | 1e-10    | 88    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d4dcb211a126349fcadd9313532fc0e045babd20f955a85e76d0d8ec19f66252
+oid sha256:ff7e0e8694d317ca74568d4a44ff7aadc2b2c7872ce65af166b983e831b43f66
 size 15133664