Training in progress epoch 66

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: 0.8833
-- Train Iou: 0.7927
-- Validation Loss: 0.0430
-- Validation Dice Coef: 0.8899
-- Validation Iou: 0.8029
+- Train Loss: 0.0426
+- Train Dice Coef: 0.8822
+- Train Iou: 0.7911
+- Validation Loss: 0.0431
+- Validation Dice Coef: 0.8891
+- Validation Iou: 0.8015
 - Train Lr: 1e-10
-- Epoch: 65
+- Epoch: 66
 
 ## Model description
 
@@ -113,6 +113,7 @@ The following hyperparameters were used during training:
 | 0.0421     | 0.8827          | 0.7919    | 0.0431          | 0.8906               | 0.8039         | 1e-10    | 63    |
 | 0.0422     | 0.8815          | 0.7901    | 0.0429          | 0.8901               | 0.8031         | 1e-10    | 64    |
 | 0.0420     | 0.8833          | 0.7927    | 0.0430          | 0.8899               | 0.8029         | 1e-10    | 65    |
+| 0.0426     | 0.8822          | 0.7911    | 0.0431          | 0.8891               | 0.8015         | 1e-10    | 66    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:766e10a8796a4fc3faefdc74bc439ef0cba3df0917f79ec2f91ef53dd24dc2bf
+oid sha256:d751d7bd5a87bcade83757621c2a76a79ef55d0f2b62d0b87f894036a491b84c
 size 15133664