Training in progress epoch 81

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: 0.0188
-- Train Dice Coef: 0.7766
-- Train Iou: 0.6480
-- Validation Loss: 0.0235
-- Validation Dice Coef: 0.8487
-- Validation Iou: 0.7411
+- Train Loss: 0.0187
+- Train Dice Coef: 0.7764
+- Train Iou: 0.6492
+- Validation Loss: 0.0236
+- Validation Dice Coef: 0.8497
+- Validation Iou: 0.7421
 - Train Lr: 1e-10
-- Epoch: 80
+- Epoch: 81
 
 ## Model description
 
@@ -128,6 +128,7 @@ The following hyperparameters were used during training:
 | 0.0187     | 0.7828          | 0.6538    | 0.0231          | 0.8518               | 0.7456         | 1e-10    | 78    |
 | 0.0188     | 0.7771          | 0.6489    | 0.0235          | 0.8488               | 0.7414         | 1e-10    | 79    |
 | 0.0188     | 0.7766          | 0.6480    | 0.0235          | 0.8487               | 0.7411         | 1e-10    | 80    |
+| 0.0187     | 0.7764          | 0.6492    | 0.0236          | 0.8497               | 0.7421         | 1e-10    | 81    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2ffcece9b2bc23554fda950e05f45a24210c481378175c3b1f4184ab51294a01
+oid sha256:6429554d01fbad909fa2615063cff05760343966401dc1ceabc4306547b8eca5
 size 15133664