Training in progress epoch 45

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: 0.0161
-- Train Dice Coef: 0.8022
-- Train Iou: 0.6786
-- Validation Loss: 0.0233
-- Validation Dice Coef: 0.8548
-- Validation Iou: 0.7487
+- 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 Lr: 2.5e-07
-- Epoch: 44
+- Epoch: 45
 
 ## Model description
 
@@ -92,6 +92,7 @@ The following hyperparameters were used during training:
 | 0.0160     | 0.8072          | 0.6844    | 0.0232          | 0.8564               | 0.7509         | 2.5e-07  | 42    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:01f86d3290f1b0683a77c1eae121ef6aa84b3826b1af2453f09a712268f3792c
+oid sha256:2db83fa127b2ff73f96580490c98be0e7291070a5c53a743a205f250ddae17df
 size 15133664