Training in progress epoch 76

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: 0.0432
-- Train Dice Coef: 0.8807
-- Train Iou: 0.7890
-- Validation Loss: 0.0430
-- Validation Dice Coef: 0.8897
-- Validation Iou: 0.8025
+- Train Loss: 0.0423
+- Train Dice Coef: 0.8816
+- Train Iou: 0.7904
+- Validation Loss: 0.0435
+- Validation Dice Coef: 0.8894
+- Validation Iou: 0.8019
 - Train Lr: 1e-10
-- Epoch: 75
+- Epoch: 76
 
 ## Model description
 
@@ -123,6 +123,7 @@ The following hyperparameters were used during training:
 | 0.0426     | 0.8817          | 0.7904    | 0.0434          | 0.8891               | 0.8015         | 1e-10    | 73    |
 | 0.0424     | 0.8811          | 0.7897    | 0.0434          | 0.8899               | 0.8028         | 1e-10    | 74    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:daf063d048fcc3397487998272ffe968ce44444b62e5abdb33c3f67e1d8870ab
+oid sha256:4ada11eff8c9623cde11e976319fb96da065465fd656436ee4e656f4987aa13d
 size 15133664