Training in progress epoch 78

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: 0.0418
-- Train Dice Coef: 0.8838
-- Train Iou: 0.7935
-- Validation Loss: 0.0431
-- Validation Dice Coef: 0.8897
-- Validation Iou: 0.8025
+- Train Loss: 0.0425
+- Train Dice Coef: 0.8817
+- Train Iou: 0.7901
+- Validation Loss: 0.0428
+- Validation Dice Coef: 0.8898
+- Validation Iou: 0.8026
 - Train Lr: 1e-10
-- Epoch: 77
+- Epoch: 78
 
 ## Model description
 
@@ -125,6 +125,7 @@ The following hyperparameters were used during training:
 | 0.0432     | 0.8807          | 0.7890    | 0.0430          | 0.8897               | 0.8025         | 1e-10    | 75    |
 | 0.0423     | 0.8816          | 0.7904    | 0.0435          | 0.8894               | 0.8019         | 1e-10    | 76    |
 | 0.0418     | 0.8838          | 0.7935    | 0.0431          | 0.8897               | 0.8025         | 1e-10    | 77    |
+| 0.0425     | 0.8817          | 0.7901    | 0.0428          | 0.8898               | 0.8026         | 1e-10    | 78    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0646a668b25f0aaf84479c36f188837a41c6577ff5dba2aac85db9483db51267
+oid sha256:a237b397eb208029541f5308408e8416a3d06db6580f49aa878f18ef475c7604
 size 15133664