Training in progress epoch 26

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: 0.0485
-- Train Dice Coef: 0.8703
-- Train Iou: 0.7728
-- Validation Loss: 0.0439
-- Validation Dice Coef: 0.8892
-- Validation Iou: 0.8018
+- Train Loss: 0.0464
+- Train Dice Coef: 0.8755
+- Train Iou: 0.7807
+- Validation Loss: 0.0433
+- Validation Dice Coef: 0.8890
+- Validation Iou: 0.8015
 - Train Lr: 5e-06
-- Epoch: 25
+- Epoch: 26
 
 ## Model description
 
@@ -73,6 +73,7 @@ The following hyperparameters were used during training:
 | 0.0521     | 0.8616          | 0.7595    | 0.0483          | 0.8822               | 0.7908         | 1e-04    | 23    |
 | 0.0510     | 0.8634          | 0.7624    | 0.0501          | 0.8814               | 0.7899         | 1e-04    | 24    |
 | 0.0485     | 0.8703          | 0.7728    | 0.0439          | 0.8892               | 0.8018         | 5e-06    | 25    |
+| 0.0464     | 0.8755          | 0.7807    | 0.0433          | 0.8890               | 0.8015         | 5e-06    | 26    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:85d4c3460d68502a3a453cef3592dbbff63b70dc91d7852df100061c2564da56
+oid sha256:c52f4b60b205662fe63e9606a17852f6e0ff70d683a186401773927772e1e176
 size 15133664