Training in progress epoch 88

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: 0.0424
-- Train Dice Coef: 0.8817
-- Train Iou: 0.7903
-- Validation Loss: 0.0430
-- Validation Dice Coef: 0.8905
-- Validation Iou: 0.8038
+- Train Loss: 0.0423
+- Train Dice Coef: 0.8819
+- Train Iou: 0.7908
+- Validation Loss: 0.0431
+- Validation Dice Coef: 0.8901
+- Validation Iou: 0.8032
 - Train Lr: 1e-10
-- Epoch: 87
+- Epoch: 88
 
 ## Model description
 
@@ -135,6 +135,7 @@ The following hyperparameters were used during training:
 | 0.0420     | 0.8832          | 0.7927    | 0.0432          | 0.8894               | 0.8019         | 1e-10    | 85    |
 | 0.0421     | 0.8828          | 0.7921    | 0.0426          | 0.8907               | 0.8042         | 1e-10    | 86    |
 | 0.0424     | 0.8817          | 0.7903    | 0.0430          | 0.8905               | 0.8038         | 1e-10    | 87    |
+| 0.0423     | 0.8819          | 0.7908    | 0.0431          | 0.8901               | 0.8032         | 1e-10    | 88    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9fe91c7a2c2bd3cd78f8dec8295632ea46529bc29a34982a01f542360e7ce293
+oid sha256:00231db15e17efeb04126020cad7addf564ebe00f5eb82d46928100985778922
 size 15133664