Training in progress epoch 55

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 Dice Coef: 0.8828
-- Train Iou: 0.7920
-- Validation Loss: 0.0433
-- Validation Dice Coef: 0.8894
-- Validation Iou: 0.8020
+- Train Loss: 0.0424
+- Train Dice Coef: 0.8818
+- Train Iou: 0.7905
+- Validation Loss: 0.0431
+- Validation Dice Coef: 0.8901
+- Validation Iou: 0.8031
 - Train Lr: 1e-10
-- Epoch: 54
+- Epoch: 55
 
 ## Model description
 
@@ -102,6 +102,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0424     | 0.8818          | 0.7905    | 0.0431          | 0.8901               | 0.8031         | 1e-10    | 55    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:297791e6285ccbc37e320ab0ec0fbb41e557017095ae9ffeaee94be9966afe13
+oid sha256:ea893b51e4dba0361a8d8c7ed0708bac87cc28e1dc1dce93fc151e0487042db7
 size 15133664