Training in progress epoch 74

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: 0.0426
-- Train Dice Coef: 0.8817
-- Train Iou: 0.7904
+- Train Loss: 0.0424
+- Train Dice Coef: 0.8811
+- Train Iou: 0.7897
 - Validation Loss: 0.0434
-- Validation Dice Coef: 0.8891
-- Validation Iou: 0.8015
+- Validation Dice Coef: 0.8899
+- Validation Iou: 0.8028
 - Train Lr: 1e-10
-- Epoch: 73
+- Epoch: 74
 
 ## Model description
 
@@ -121,6 +121,7 @@ The following hyperparameters were used during training:
 | 0.0422     | 0.8832          | 0.7926    | 0.0431          | 0.8895               | 0.8021         | 1e-10    | 71    |
 | 0.0427     | 0.8816          | 0.7902    | 0.0432          | 0.8898               | 0.8026         | 1e-10    | 72    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b6c80e22d074d57dd4463420cd0201853678556b36ea3f88159a06e6bdd6ef5
+oid sha256:ee9b3b23f3abc7b72a5d9b7cc18aec3ebd612cb7120bc2d724ddd4331ccb118d
 size 15133664