Training in progress epoch 11

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: 0.0701
-- Train Dice Coef: 0.7974
-- Train Iou: 0.6794
-- Validation Loss: 0.1049
-- Validation Dice Coef: 0.7190
-- Validation Iou: 0.5811
+- Train Loss: 0.0675
+- Train Dice Coef: 0.8020
+- Train Iou: 0.6854
+- Validation Loss: 0.1319
+- Validation Dice Coef: 0.6935
+- Validation Iou: 0.5427
 - Train Lr: 1e-04
-- Epoch: 10
+- Epoch: 11
 
 ## Model description
 
@@ -58,6 +58,7 @@ The following hyperparameters were used during training:
 | 0.0798     | 0.7733          | 0.6475    | 0.0966          | 0.7434               | 0.5996         | 1e-04    | 8     |
 | 0.0765     | 0.7716          | 0.6487    | 0.1073          | 0.7157               | 0.5657         | 1e-04    | 9     |
 | 0.0701     | 0.7974          | 0.6794    | 0.1049          | 0.7190               | 0.5811         | 1e-04    | 10    |
+| 0.0675     | 0.8020          | 0.6854    | 0.1319          | 0.6935               | 0.5427         | 1e-04    | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1f34c2242bb29361e3ae739e95ce2022d6c0fbd357d41348aec1fd0c5d14ed26
+oid sha256:b9d63658f83263fdff5e7433cc6568ed744b2863e9a53690944c7a7e16a4fe28
 size 15133664