Training in progress epoch 42

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: 0.0519
-- Train Dice Coef: 0.8402
-- Train Iou: 0.7391
-- Validation Loss: 0.0444
-- Validation Dice Coef: 0.8852
-- Validation Iou: 0.7951
-- Train Lr: 1.25e-08
-- Epoch: 41
+- Train Loss: 0.0518
+- Train Dice Coef: 0.8349
+- Train Iou: 0.7331
+- Validation Loss: 0.0448
+- Validation Dice Coef: 0.8850
+- Validation Iou: 0.7948
+- Train Lr: 6.25e-10
+- Epoch: 42
 
 ## Model description
 
@@ -89,6 +89,7 @@ The following hyperparameters were used during training:
 | 0.0524     | 0.8484          | 0.7452    | 0.0456          | 0.8837               | 0.7927         | 1.25e-08 | 39    |
 | 0.0529     | 0.8410          | 0.7388    | 0.0448          | 0.8848               | 0.7944         | 1.25e-08 | 40    |
 | 0.0519     | 0.8402          | 0.7391    | 0.0444          | 0.8852               | 0.7951         | 1.25e-08 | 41    |
+| 0.0518     | 0.8349          | 0.7331    | 0.0448          | 0.8850               | 0.7948         | 6.25e-10 | 42    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:604a6ac5f025466476b6b2fff39294902dadd37369da4f0aa8eb7a0c69848abb
+oid sha256:f0723663230a8cfe1f4e07fe5079aa983b63f0e1412d9aa21eac28b3b9babff4
 size 15133664