Training in progress epoch 37

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: 0.0420
-- Train Dice Coef: 0.8826
-- Train Iou: 0.7917
-- Validation Loss: 0.0433
-- Validation Dice Coef: 0.8894
-- Validation Iou: 0.8021
+- Train Loss: 0.0423
+- Train Dice Coef: 0.8833
+- Train Iou: 0.7926
+- Validation Loss: 0.0429
+- Validation Dice Coef: 0.8893
+- Validation Iou: 0.8018
 - Train Lr: 2.5e-07
-- Epoch: 36
+- Epoch: 37
 
 ## Model description
 
@@ -84,6 +84,7 @@ The following hyperparameters were used during training:
 | 0.0431     | 0.8798          | 0.7875    | 0.0433          | 0.8895               | 0.8022         | 5e-06    | 34    |
 | 0.0425     | 0.8816          | 0.7903    | 0.0435          | 0.8892               | 0.8016         | 2.5e-07  | 35    |
 | 0.0420     | 0.8826          | 0.7917    | 0.0433          | 0.8894               | 0.8021         | 2.5e-07  | 36    |
+| 0.0423     | 0.8833          | 0.7926    | 0.0429          | 0.8893               | 0.8018         | 2.5e-07  | 37    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:609aebdc555a5c45e8a5f24ea4db02509fab9eff8a22c4e0d7dd8d027634cc3f
+oid sha256:18df0433e5f523af9dcf75a786eace694395146625495170733ab7b9a982fac3
 size 15133664