Training in progress epoch 16

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: 0.0595
-- Train Dice Coef: 0.8160
-- Train Iou: 0.7064
-- Validation Loss: 0.0475
-- Validation Dice Coef: 0.8810
-- Validation Iou: 0.7883
+- Train Loss: 0.0589
+- Train Dice Coef: 0.8197
+- Train Iou: 0.7115
+- Validation Loss: 0.0460
+- Validation Dice Coef: 0.8835
+- Validation Iou: 0.7922
 - Train Lr: 5e-06
-- Epoch: 15
+- Epoch: 16
 
 ## Model description
 
@@ -63,6 +63,7 @@ The following hyperparameters were used during training:
 | 0.0679     | 0.7980          | 0.6817    | 0.0483          | 0.8809               | 0.7881         | 5e-06    | 13    |
 | 0.0613     | 0.8173          | 0.7069    | 0.0467          | 0.8827               | 0.7910         | 5e-06    | 14    |
 | 0.0595     | 0.8160          | 0.7064    | 0.0475          | 0.8810               | 0.7883         | 5e-06    | 15    |
+| 0.0589     | 0.8197          | 0.7115    | 0.0460          | 0.8835               | 0.7922         | 5e-06    | 16    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a6e1d3a126e53642f28b8d14cd57e29c8f60dde65ec3776c2002c45b8289a597
+oid sha256:129f94493a6f641dd92ac8e1dd07c2f0ecb273284ecc36d1b47d2693fc4c0313
 size 15133664