Training in progress epoch 89

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: 0.0423
-- Train Dice Coef: 0.8819
-- Train Iou: 0.7908
-- Validation Loss: 0.0431
-- Validation Dice Coef: 0.8901
-- Validation Iou: 0.8032
+- Train Loss: 0.0428
+- Train Dice Coef: 0.8809
+- Train Iou: 0.7891
+- Validation Loss: 0.0429
+- Validation Dice Coef: 0.8897
+- Validation Iou: 0.8025
 - Train Lr: 1e-10
-- Epoch: 88
+- Epoch: 89
 
 ## Model description
 
@@ -136,6 +136,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0428     | 0.8809          | 0.7891    | 0.0429          | 0.8897               | 0.8025         | 1e-10    | 89    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fda97f1f75ce42f08743f00cd0eaa75ca2d29c9a91d5473913dd0058d44ff47e
 size 15133664