Training in progress epoch 35

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: 0.0524
-- Train Dice Coef: 0.8406
-- Train Iou: 0.7372
-- Validation Loss: 0.0446
-- Validation Dice Coef: 0.8842
-- Validation Iou: 0.7935
+- Train Loss: 0.0522
+- Train Dice Coef: 0.8408
+- Train Iou: 0.7385
+- Validation Loss: 0.0456
+- Validation Dice Coef: 0.8838
+- Validation Iou: 0.7927
 - Train Lr: 2.5e-07
-- Epoch: 34
+- Epoch: 35
 
 ## Model description
 
@@ -82,6 +82,7 @@ The following hyperparameters were used during training:
 | 0.0525     | 0.8347          | 0.7322    | 0.0458          | 0.8833               | 0.7921         | 2.5e-07  | 32    |
 | 0.0524     | 0.8414          | 0.7376    | 0.0453          | 0.8840               | 0.7930         | 2.5e-07  | 33    |
 | 0.0524     | 0.8406          | 0.7372    | 0.0446          | 0.8842               | 0.7935         | 2.5e-07  | 34    |
+| 0.0522     | 0.8408          | 0.7385    | 0.0456          | 0.8838               | 0.7927         | 2.5e-07  | 35    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:625015710599415baba8142540c8f637b6d2f15600d272ca2ddb46f975ade481
+oid sha256:837eb28a11ebe9f83abf35dfcf9ac6409db43c192f4b49afe74cd55289a5b47c
 size 15133664