Training in progress epoch 43

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: 0.8072
-- Train Iou: 0.6844
-- Validation Loss: 0.0232
-- Validation Dice Coef: 0.8564
-- Validation Iou: 0.7509
+- Train Loss: 0.0164
+- Train Dice Coef: 0.8037
+- Train Iou: 0.6801
+- Validation Loss: 0.0219
+- Validation Dice Coef: 0.8573
+- Validation Iou: 0.7525
 - Train Lr: 2.5e-07
-- Epoch: 42
+- Epoch: 43
 
 ## Model description
 
@@ -90,6 +90,7 @@ The following hyperparameters were used during training:
 | 0.0160     | 0.8077          | 0.6853    | 0.0229          | 0.8559               | 0.7503         | 2.5e-07  | 40    |
 | 0.0160     | 0.8070          | 0.6843    | 0.0227          | 0.8567               | 0.7514         | 2.5e-07  | 41    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ff7156fdaef2efcaf33955528a0a58f321e68c9fe1f9c5af5f86af5a1dda1227
+oid sha256:2b0c90959dc4338c893d30503ef03a697355fce098ad95e0ad3117abbc8d675a
 size 15133664