Training in progress epoch 61

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: 0.0524
-- Train Dice Coef: 0.8415
-- Train Iou: 0.7389
-- Validation Loss: 0.0453
-- Validation Dice Coef: 0.8846
-- Validation Iou: 0.7940
+- Train Loss: 0.0517
+- Train Dice Coef: 0.8436
+- Train Iou: 0.7423
+- Validation Loss: 0.0444
+- Validation Dice Coef: 0.8853
+- Validation Iou: 0.7951
 - Train Lr: 1e-10
-- Epoch: 60
+- Epoch: 61
 
 ## Model description
 
@@ -108,6 +108,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0517     | 0.8436          | 0.7423    | 0.0444          | 0.8853               | 0.7951         | 1e-10    | 61    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f4692b29610f0eae0f00c23448f04b888da98d01bea23c98f9c935649d8ecf10
+oid sha256:a330d58904757e166d6a8c00e4aff958d6726a786136f38ff5d8b52ca933d388
 size 15133664