Training in progress epoch 14

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: 0.0679
-- Train Dice Coef: 0.7980
-- Train Iou: 0.6817
-- Validation Loss: 0.0483
-- Validation Dice Coef: 0.8809
-- Validation Iou: 0.7881
+- Train Loss: 0.0613
+- Train Dice Coef: 0.8173
+- Train Iou: 0.7069
+- Validation Loss: 0.0467
+- Validation Dice Coef: 0.8827
+- Validation Iou: 0.7910
 - Train Lr: 5e-06
-- Epoch: 13
+- Epoch: 14
 
 ## Model description
 
@@ -61,6 +61,7 @@ The following hyperparameters were used during training:
 | 0.0675     | 0.8020          | 0.6854    | 0.1319          | 0.6935               | 0.5427         | 1e-04    | 11    |
 | 0.0662     | 0.8108          | 0.6957    | 0.1593          | 0.6269               | 0.4826         | 1e-04    | 12    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b32406d061f1fa1436d8f364ea455eb064e545984540132815cdbea905ba4990
+oid sha256:2bc622859084da8c693faeafc941271b4e9e33573abfd56e6f259b3f724b8573
 size 15133664