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: 0.0842
-- Train Dice Coef: 0.7585
-- Train Iou: 0.6310
-- Validation Loss: 0.0878
-- Validation Dice Coef: 0.7726
-- Validation Iou: 0.6384
+- Train Loss: 0.0798
+- Train Dice Coef: 0.7733
+- Train Iou: 0.6475
+- Validation Loss: 0.0966
+- Validation Dice Coef: 0.7434
+- Validation Iou: 0.5996
 - Train Lr: 1e-04
-- Epoch: 7
+- Epoch: 8
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.0930     | 0.7373          | 0.6042    | 0.1618          | 0.5048               | 0.3614         | 1e-04    | 5     |
 | 0.0878     | 0.7534          | 0.6255    | 0.1023          | 0.7076               | 0.5637         | 1e-04    | 6     |
 | 0.0842     | 0.7585          | 0.6310    | 0.0878          | 0.7726               | 0.6384         | 1e-04    | 7     |
+| 0.0798     | 0.7733          | 0.6475    | 0.0966          | 0.7434               | 0.5996         | 1e-04    | 8     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:72eaa75e77190eebc762cd589e07ea218f5a8b40e2dff1fcf8043f45f55cecd8
+oid sha256:4d170522a3aae1175a8246d865ce6b09d272b8354f3cdb9614adeab839063e46
 size 15133664