Training in progress epoch 46

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: 0.0160
-- Train Dice Coef: 0.8041
-- Train Iou: 0.6809
-- Validation Loss: 0.0226
-- Validation Dice Coef: 0.8571
-- Validation Iou: 0.7522
+- Train Loss: 0.0161
+- Train Dice Coef: 0.8043
+- Train Iou: 0.6810
+- Validation Loss: 0.0228
+- Validation Dice Coef: 0.8558
+- Validation Iou: 0.7501
 - Train Lr: 2.5e-07
-- Epoch: 45
+- Epoch: 46
 
 ## Model description
 
@@ -93,6 +93,7 @@ The following hyperparameters were used during training:
 | 0.0164     | 0.8037          | 0.6801    | 0.0219          | 0.8573               | 0.7525         | 2.5e-07  | 43    |
 | 0.0161     | 0.8022          | 0.6786    | 0.0233          | 0.8548               | 0.7487         | 2.5e-07  | 44    |
 | 0.0160     | 0.8041          | 0.6809    | 0.0226          | 0.8571               | 0.7522         | 2.5e-07  | 45    |
+| 0.0161     | 0.8043          | 0.6810    | 0.0228          | 0.8558               | 0.7501         | 2.5e-07  | 46    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2db83fa127b2ff73f96580490c98be0e7291070a5c53a743a205f250ddae17df
+oid sha256:bd97bc3378ae2a1362f179b0f7ed4906c4d2b4ab59c76a2f544607003c7ea6d4
 size 15133664