Training in progress epoch 14

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: 0.0637
-- Train Dice Coef: 0.8383
-- Train Iou: 0.7257
-- Validation Loss: 0.0515
-- Validation Dice Coef: 0.8772
-- Validation Iou: 0.7828
+- Train Loss: 0.0601
+- Train Dice Coef: 0.8462
+- Train Iou: 0.7367
+- Validation Loss: 0.0498
+- Validation Dice Coef: 0.8765
+- Validation Iou: 0.7814
 - Train Lr: 1e-04
-- Epoch: 13
+- Epoch: 14
 
 ## Model description
 
@@ -61,6 +61,7 @@ The following hyperparameters were used during training:
 | 0.0659     | 0.8341          | 0.7196    | 0.0519          | 0.8738               | 0.7781         | 1e-04    | 11    |
 | 0.0626     | 0.8412          | 0.7294    | 0.0496          | 0.8789               | 0.7853         | 1e-04    | 12    |
 | 0.0637     | 0.8383          | 0.7257    | 0.0515          | 0.8772               | 0.7828         | 1e-04    | 13    |
+| 0.0601     | 0.8462          | 0.7367    | 0.0498          | 0.8765               | 0.7814         | 1e-04    | 14    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a8f81507071e85e2ad2c216c49d3b078c5c9a9a99ad3ff8fac3a4855ae51a036
+oid sha256:08ffbb4152ce050f72feee5bd75e5f5dbc9cdc5c98359e8b8529343507090482
 size 15133664