Training in progress epoch 56

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: 0.0159
-- Train Dice Coef: 0.8057
-- Train Iou: 0.6834
-- Validation Loss: 0.0230
-- Validation Dice Coef: 0.8558
-- Validation Iou: 0.7501
+- Train Loss: 0.0160
+- Train Dice Coef: 0.8045
+- Train Iou: 0.6811
+- Validation Loss: 0.0226
+- Validation Dice Coef: 0.8574
+- Validation Iou: 0.7525
 - Train Lr: 6.25e-10
-- Epoch: 55
+- Epoch: 56
 
 ## Model description
 
@@ -103,6 +103,7 @@ The following hyperparameters were used during training:
 | 0.0158     | 0.8074          | 0.6853    | 0.0230          | 0.8567               | 0.7514         | 1.25e-08 | 53    |
 | 0.0160     | 0.8050          | 0.6821    | 0.0229          | 0.8563               | 0.7509         | 6.25e-10 | 54    |
 | 0.0159     | 0.8057          | 0.6834    | 0.0230          | 0.8558               | 0.7501         | 6.25e-10 | 55    |
+| 0.0160     | 0.8045          | 0.6811    | 0.0226          | 0.8574               | 0.7525         | 6.25e-10 | 56    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d64d175ad7f3eed925ea6b56cb6d90fa394ee662ad9231e560c20940f4f787ad
+oid sha256:667e5075301d4af68fd5d5890434770d4ba3c4f7d9d2c38c0e6f05f86c365ff5
 size 15133664