Training in progress epoch 60

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: 0.0521
-- Train Dice Coef: 0.8431
-- Train Iou: 0.7403
-- Validation Loss: 0.0450
-- Validation Dice Coef: 0.8853
-- Validation Iou: 0.7951
+- Train Loss: 0.0524
+- Train Dice Coef: 0.8415
+- Train Iou: 0.7389
+- Validation Loss: 0.0453
+- Validation Dice Coef: 0.8846
+- Validation Iou: 0.7940
 - Train Lr: 1e-10
-- Epoch: 59
+- Epoch: 60
 
 ## Model description
 
@@ -107,6 +107,7 @@ The following hyperparameters were used during training:
 | 0.0520     | 0.8466          | 0.7441    | 0.0448          | 0.8856               | 0.7956         | 1e-10    | 57    |
 | 0.0524     | 0.8382          | 0.7357    | 0.0433          | 0.8875               | 0.7987         | 1e-10    | 58    |
 | 0.0521     | 0.8431          | 0.7403    | 0.0450          | 0.8853               | 0.7951         | 1e-10    | 59    |
+| 0.0524     | 0.8415          | 0.7389    | 0.0453          | 0.8846               | 0.7940         | 1e-10    | 60    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bac1889757f568ec6c3b13cf6a43a98f0a96cb2ced0be872f857633fdb2e1f50
+oid sha256:f4692b29610f0eae0f00c23448f04b888da98d01bea23c98f9c935649d8ecf10
 size 15133664