Training in progress epoch 67

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: 0.0426
-- Train Dice Coef: 0.8822
-- Train Iou: 0.7911
-- Validation Loss: 0.0431
-- Validation Dice Coef: 0.8891
-- Validation Iou: 0.8015
+- Train Loss: 0.0422
+- Train Dice Coef: 0.8829
+- Train Iou: 0.7923
+- Validation Loss: 0.0428
+- Validation Dice Coef: 0.8902
+- Validation Iou: 0.8033
 - Train Lr: 1e-10
-- Epoch: 66
+- Epoch: 67
 
 ## Model description
 
@@ -114,6 +114,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0422     | 0.8829          | 0.7923    | 0.0428          | 0.8902               | 0.8033         | 1e-10    | 67    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d751d7bd5a87bcade83757621c2a76a79ef55d0f2b62d0b87f894036a491b84c
+oid sha256:6fe4596df8d81d504a06ef4750ea0c6c9fcdda2e33beebf6a2fadba838e06314
 size 15133664