Training in progress epoch 7

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: 0.0831
-- Train Dice Coef: 0.7971
-- Train Iou: 0.6695
-- Validation Loss: 0.0559
-- Validation Dice Coef: 0.8621
-- Validation Iou: 0.7596
+- Train Loss: 0.0770
+- Train Dice Coef: 0.8107
+- Train Iou: 0.6867
+- Validation Loss: 0.0530
+- Validation Dice Coef: 0.8726
+- Validation Iou: 0.7756
 - Train Lr: 1e-04
-- Epoch: 6
+- Epoch: 7
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.0933     | 0.7745          | 0.6399    | 0.0627          | 0.8455               | 0.7351         | 1e-04    | 4     |
 | 0.0886     | 0.7856          | 0.6535    | 0.0584          | 0.8603               | 0.7566         | 1e-04    | 5     |
 | 0.0831     | 0.7971          | 0.6695    | 0.0559          | 0.8621               | 0.7596         | 1e-04    | 6     |
+| 0.0770     | 0.8107          | 0.6867    | 0.0530          | 0.8726               | 0.7756         | 1e-04    | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b47444e9127f6ae7eb2fb28f568cbd3cc7b058e1569f21682bc75b1607257aaa
 size 15133664