Training in progress epoch 38

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: 0.0423
+- Train Loss: 0.0420
 - Train Dice Coef: 0.8833
-- Train Iou: 0.7926
-- Validation Loss: 0.0429
-- Validation Dice Coef: 0.8893
-- Validation Iou: 0.8018
+- Train Iou: 0.7929
+- Validation Loss: 0.0430
+- Validation Dice Coef: 0.8895
+- Validation Iou: 0.8023
 - Train Lr: 2.5e-07
-- Epoch: 37
+- Epoch: 38
 
 ## Model description
 
@@ -85,6 +85,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0420     | 0.8833          | 0.7929    | 0.0430          | 0.8895               | 0.8023         | 2.5e-07  | 38    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:18df0433e5f523af9dcf75a786eace694395146625495170733ab7b9a982fac3
+oid sha256:7a86e5c5bb8aaeeb3df98daa551783eb41fe29642771df80f4e55b8a18a862b0
 size 15133664