Training in progress epoch 9

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: 0.0798
-- Train Dice Coef: 0.7733
-- Train Iou: 0.6475
-- Validation Loss: 0.0966
-- Validation Dice Coef: 0.7434
-- Validation Iou: 0.5996
+- Train Loss: 0.0765
+- Train Dice Coef: 0.7716
+- Train Iou: 0.6487
+- Validation Loss: 0.1073
+- Validation Dice Coef: 0.7157
+- Validation Iou: 0.5657
 - Train Lr: 1e-04
-- Epoch: 8
+- Epoch: 9
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 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     |
+| 0.0765     | 0.7716          | 0.6487    | 0.1073          | 0.7157               | 0.5657         | 1e-04    | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:934069fcc703a28f7f9e9f68c995dcc9b1b6ab0c5543fcecb660101aeef220a7
 size 15133664