Training in progress epoch 54

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: 0.0424
-- Train Dice Coef: 0.8824
-- Train Iou: 0.7915
-- Validation Loss: 0.0426
-- Validation Dice Coef: 0.8899
-- Validation Iou: 0.8029
+- Train Loss: 0.0423
+- Train Dice Coef: 0.8828
+- Train Iou: 0.7920
+- Validation Loss: 0.0433
+- Validation Dice Coef: 0.8894
+- Validation Iou: 0.8020
 - Train Lr: 1e-10
-- Epoch: 53
+- Epoch: 54
 
 ## Model description
 
@@ -101,6 +101,7 @@ The following hyperparameters were used during training:
 | 0.0421     | 0.8838          | 0.7937    | 0.0431          | 0.8891               | 0.8014         | 1e-10    | 51    |
 | 0.0424     | 0.8820          | 0.7907    | 0.0436          | 0.8884               | 0.8003         | 1e-10    | 52    |
 | 0.0424     | 0.8824          | 0.7915    | 0.0426          | 0.8899               | 0.8029         | 1e-10    | 53    |
+| 0.0423     | 0.8828          | 0.7920    | 0.0433          | 0.8894               | 0.8020         | 1e-10    | 54    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b8cac5250f6800ac41c84765ae2cfd8f57fcbf7b192e9bf376a3b6e960d6aebe
+oid sha256:297791e6285ccbc37e320ab0ec0fbb41e557017095ae9ffeaee94be9966afe13
 size 15133664