Training in progress epoch 62

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: 0.0420
-- Train Dice Coef: 0.8834
-- Train Iou: 0.7927
-- Validation Loss: 0.0433
-- Validation Dice Coef: 0.8888
-- Validation Iou: 0.8010
+- Train Loss: 0.0425
+- Train Dice Coef: 0.8820
+- Train Iou: 0.7909
+- Validation Loss: 0.0429
+- Validation Dice Coef: 0.8896
+- Validation Iou: 0.8023
 - Train Lr: 1e-10
-- Epoch: 61
+- Epoch: 62
 
 ## Model description
 
@@ -109,6 +109,7 @@ The following hyperparameters were used during training:
 | 0.0416     | 0.8845          | 0.7945    | 0.0434          | 0.8889               | 0.8012         | 1e-10    | 59    |
 | 0.0421     | 0.8830          | 0.7921    | 0.0429          | 0.8900               | 0.8029         | 1e-10    | 60    |
 | 0.0420     | 0.8834          | 0.7927    | 0.0433          | 0.8888               | 0.8010         | 1e-10    | 61    |
+| 0.0425     | 0.8820          | 0.7909    | 0.0429          | 0.8896               | 0.8023         | 1e-10    | 62    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aefe0c61a917163620a70504b24ab53e6e91cd37b6772341986f759dbff6dac8
+oid sha256:09c34203820c3aac70b96eb4712ad5d3452e324413363157b2fc02b6e2114f5a
 size 15133664