Training in progress epoch 99

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: 0.0525
-- Train Dice Coef: 0.8394
-- Train Iou: 0.7373
-- Validation Loss: 0.0451
-- Validation Dice Coef: 0.8846
-- Validation Iou: 0.7941
+- Train Loss: 0.0520
+- Train Dice Coef: 0.8435
+- Train Iou: 0.7409
+- Validation Loss: 0.0454
+- Validation Dice Coef: 0.8836
+- Validation Iou: 0.7926
 - Train Lr: 1e-10
-- Epoch: 98
+- Epoch: 99
 
 ## Model description
 
@@ -146,6 +146,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0520     | 0.8435          | 0.7409    | 0.0454          | 0.8836               | 0.7926         | 1e-10    | 99    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bd5e8f5511ffb5467846b59fa4f0ab7c34292f4f6641969f8cb13cc580f41518
+oid sha256:51e4ccdf82a7d794c1be42bf580b5ebfdb80522fa7545fc2533acb518021c0b0
 size 15133664