Training in progress epoch 8

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: 0.0770
-- Train Dice Coef: 0.8107
-- Train Iou: 0.6867
-- Validation Loss: 0.0530
-- Validation Dice Coef: 0.8726
-- Validation Iou: 0.7756
+- Train Loss: 0.0741
+- Train Dice Coef: 0.8160
+- Train Iou: 0.6942
+- Validation Loss: 0.0512
+- Validation Dice Coef: 0.8775
+- Validation Iou: 0.7832
 - Train Lr: 1e-04
-- Epoch: 7
+- Epoch: 8
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.0886     | 0.7856          | 0.6535    | 0.0584          | 0.8603               | 0.7566         | 1e-04    | 5     |
 | 0.0831     | 0.7971          | 0.6695    | 0.0559          | 0.8621               | 0.7596         | 1e-04    | 6     |
 | 0.0770     | 0.8107          | 0.6867    | 0.0530          | 0.8726               | 0.7756         | 1e-04    | 7     |
+| 0.0741     | 0.8160          | 0.6942    | 0.0512          | 0.8775               | 0.7832         | 1e-04    | 8     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b47444e9127f6ae7eb2fb28f568cbd3cc7b058e1569f21682bc75b1607257aaa
+oid sha256:43f3d7f66159341a306a8ac784b3f9c6202d9b3a424a8c3051626ed3974c82c5
 size 15133664