Training in progress epoch 40

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: 0.8484
-- Train Iou: 0.7452
-- Validation Loss: 0.0456
-- Validation Dice Coef: 0.8837
-- Validation Iou: 0.7927
+- Train Loss: 0.0529
+- Train Dice Coef: 0.8410
+- Train Iou: 0.7388
+- Validation Loss: 0.0448
+- Validation Dice Coef: 0.8848
+- Validation Iou: 0.7944
 - Train Lr: 1.25e-08
-- Epoch: 39
+- Epoch: 40
 
 ## Model description
 
@@ -87,6 +87,7 @@ The following hyperparameters were used during training:
 | 0.0521     | 0.8503          | 0.7481    | 0.0459          | 0.8832               | 0.7919         | 1.25e-08 | 37    |
 | 0.0521     | 0.8370          | 0.7344    | 0.0451          | 0.8845               | 0.7939         | 1.25e-08 | 38    |
 | 0.0524     | 0.8484          | 0.7452    | 0.0456          | 0.8837               | 0.7927         | 1.25e-08 | 39    |
+| 0.0529     | 0.8410          | 0.7388    | 0.0448          | 0.8848               | 0.7944         | 1.25e-08 | 40    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f3e1a8092294fa336d081a34d6ca9cec37c68b774b4aea88a9f251388f16ba02
+oid sha256:139d8eea20fe128db32a38e16fe2affda4076552bfa675d84c220426bfeb75d7
 size 15133664