Training in progress epoch 51

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: 0.0520
-- Train Dice Coef: 0.8382
-- Train Iou: 0.7359
-- Validation Loss: 0.0453
-- Validation Dice Coef: 0.8838
-- Validation Iou: 0.7929
+- Train Loss: 0.0523
+- Train Dice Coef: 0.8469
+- Train Iou: 0.7463
+- Validation Loss: 0.0448
+- Validation Dice Coef: 0.8852
+- Validation Iou: 0.7951
 - Train Lr: 1e-10
-- Epoch: 50
+- Epoch: 51
 
 ## Model description
 
@@ -98,6 +98,7 @@ The following hyperparameters were used during training:
 | 0.0518     | 0.8456          | 0.7438    | 0.0448          | 0.8847               | 0.7943         | 1e-10    | 48    |
 | 0.0521     | 0.8447          | 0.7433    | 0.0442          | 0.8859               | 0.7961         | 1e-10    | 49    |
 | 0.0520     | 0.8382          | 0.7359    | 0.0453          | 0.8838               | 0.7929         | 1e-10    | 50    |
+| 0.0523     | 0.8469          | 0.7463    | 0.0448          | 0.8852               | 0.7951         | 1e-10    | 51    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e9c49bbc1c0636dfd741320b903f6f3840de46d642263a2d08d47213b3e070b3
+oid sha256:ec28a835bfded022e0d9f3c029c4e34147f7e8bbf348c711ca108daf55f4a7a4
 size 15133664