Training in progress epoch 98

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: 0.0517
-- Train Dice Coef: 0.8410
-- Train Iou: 0.7390
-- Validation Loss: 0.0440
-- Validation Dice Coef: 0.8870
-- Validation Iou: 0.7979
+- Train Loss: 0.0525
+- Train Dice Coef: 0.8394
+- Train Iou: 0.7373
+- Validation Loss: 0.0451
+- Validation Dice Coef: 0.8846
+- Validation Iou: 0.7941
 - Train Lr: 1e-10
-- Epoch: 97
+- Epoch: 98
 
 ## Model description
 
@@ -145,6 +145,7 @@ The following hyperparameters were used during training:
 | 0.0517     | 0.8433          | 0.7401    | 0.0455          | 0.8835               | 0.7924         | 1e-10    | 95    |
 | 0.0524     | 0.8417          | 0.7398    | 0.0453          | 0.8831               | 0.7917         | 1e-10    | 96    |
 | 0.0517     | 0.8410          | 0.7390    | 0.0440          | 0.8870               | 0.7979         | 1e-10    | 97    |
+| 0.0525     | 0.8394          | 0.7373    | 0.0451          | 0.8846               | 0.7941         | 1e-10    | 98    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:bd5e8f5511ffb5467846b59fa4f0ab7c34292f4f6641969f8cb13cc580f41518
 size 15133664