Training in progress epoch 51

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: 0.0425
-- Train Dice Coef: 0.8827
-- Train Iou: 0.7918
-- Validation Loss: 0.0433
-- Validation Dice Coef: 0.8896
-- Validation Iou: 0.8023
+- Train Loss: 0.0421
+- Train Dice Coef: 0.8838
+- Train Iou: 0.7937
+- Validation Loss: 0.0431
+- Validation Dice Coef: 0.8891
+- Validation Iou: 0.8014
 - Train Lr: 1e-10
-- Epoch: 50
+- Epoch: 51
 
 ## Model description
 
@@ -98,6 +98,7 @@ The following hyperparameters were used during training:
 | 0.0423     | 0.8823          | 0.7912    | 0.0431          | 0.8897               | 0.8024         | 6.25e-10 | 48    |
 | 0.0423     | 0.8826          | 0.7916    | 0.0433          | 0.8895               | 0.8021         | 6.25e-10 | 49    |
 | 0.0425     | 0.8827          | 0.7918    | 0.0433          | 0.8896               | 0.8023         | 1e-10    | 50    |
+| 0.0421     | 0.8838          | 0.7937    | 0.0431          | 0.8891               | 0.8014         | 1e-10    | 51    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8e8625d512ddf006c9c1447b3aed43ea47fcbe3471328a78e5bfb583fcb8e8a8
+oid sha256:8e9542cec10e80074a25014481a9263ee9908aaaf35895b8ac0ccc39acf6992b
 size 15133664