Training in progress epoch 3

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: 0.1105
-- Train Dice Coef: 0.7364
-- Train Iou: 0.5924
-- Validation Loss: 0.0737
-- Validation Dice Coef: 0.8147
-- Validation Iou: 0.6916
+- Train Loss: 0.0985
+- Train Dice Coef: 0.7610
+- Train Iou: 0.6226
+- Validation Loss: 0.0632
+- Validation Dice Coef: 0.8518
+- Validation Iou: 0.7440
 - Train Lr: 1e-04
-- Epoch: 2
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.2282     | 0.5657          | 0.4102    | 0.1322          | 0.6524               | 0.4967         | 1e-04    | 0     |
 | 0.1354     | 0.6853          | 0.5329    | 0.0855          | 0.7853               | 0.6544         | 1e-04    | 1     |
 | 0.1105     | 0.7364          | 0.5924    | 0.0737          | 0.8147               | 0.6916         | 1e-04    | 2     |
+| 0.0985     | 0.7610          | 0.6226    | 0.0632          | 0.8518               | 0.7440         | 1e-04    | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:55e97ca7fd8750f298d966acb72beaf2162f8bb049fbefca17e5e2dfe8af70e0
+oid sha256:f2ca8a9279b9fd9f0f8f9096187aac22125f38340d3f5947f291f13d6eaeede5
 size 15133664