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: 0.0287
-- Train Dice Coef: 0.7245
-- Train Iou: 0.5830
-- Validation Loss: 0.0357
-- Validation Dice Coef: 0.7899
-- Validation Iou: 0.6630
+- Train Loss: 0.0273
+- Train Dice Coef: 0.7228
+- Train Iou: 0.5825
+- Validation Loss: 0.0659
+- Validation Dice Coef: 0.6279
+- Validation Iou: 0.4914
 - Train Lr: 1e-04
-- Epoch: 10
+- Epoch: 11
 
 ## Model description
 
@@ -58,6 +58,7 @@ The following hyperparameters were used during training:
 | 0.0306     | 0.7010          | 0.5582    | 0.0704          | 0.5946               | 0.4483         | 1e-04    | 8     |
 | 0.0285     | 0.7160          | 0.5744    | 0.0504          | 0.6951               | 0.5568         | 1e-04    | 9     |
 | 0.0287     | 0.7245          | 0.5830    | 0.0357          | 0.7899               | 0.6630         | 1e-04    | 10    |
+| 0.0273     | 0.7228          | 0.5825    | 0.0659          | 0.6279               | 0.4914         | 1e-04    | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:de057f16c51e5ad77d65e46f48f74d0b484046896b488c718cd43c9c40929d54
+oid sha256:a836295f3b79e69438ccca343b9c85d5bb1c1c2835d3c69ab4abf2a86501f2d3
 size 15133664