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: 0.0187
-- Train Dice Coef: 0.7795
-- Train Iou: 0.6515
+- Train Loss: 0.0188
+- Train Dice Coef: 0.7779
+- Train Iou: 0.6489
 - Validation Loss: 0.0237
-- Validation Dice Coef: 0.8494
-- Validation Iou: 0.7420
+- Validation Dice Coef: 0.8470
+- Validation Iou: 0.7395
 - Train Lr: 1e-10
-- Epoch: 66
+- Epoch: 67
 
 ## Model description
 
@@ -114,6 +114,7 @@ The following hyperparameters were used during training:
 | 0.0188     | 0.7797          | 0.6519    | 0.0234          | 0.8484               | 0.7406         | 1e-10    | 64    |
 | 0.0189     | 0.7851          | 0.6566    | 0.0230          | 0.8518               | 0.7455         | 1e-10    | 65    |
 | 0.0187     | 0.7795          | 0.6515    | 0.0237          | 0.8494               | 0.7420         | 1e-10    | 66    |
+| 0.0188     | 0.7779          | 0.6489    | 0.0237          | 0.8470               | 0.7395         | 1e-10    | 67    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e2d819aba5741f335b0132a3fd7b7a910b19d750d62f2ca32d66361de6d9a72f
+oid sha256:47297054b9a29b2ecf969adccb28992beee7185d3187c87bdc8ca89f8216efbb
 size 15133664