Training in progress epoch 84

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: 0.8820
-- Train Iou: 0.7908
-- Validation Loss: 0.0431
-- Validation Dice Coef: 0.8894
-- Validation Iou: 0.8019
+- Train Loss: 0.0424
+- Train Dice Coef: 0.8830
+- Train Iou: 0.7921
+- Validation Loss: 0.0433
+- Validation Dice Coef: 0.8893
+- Validation Iou: 0.8018
 - Train Lr: 1e-10
-- Epoch: 83
+- Epoch: 84
 
 ## Model description
 
@@ -131,6 +131,7 @@ The following hyperparameters were used during training:
 | 0.0429     | 0.8812          | 0.7897    | 0.0425          | 0.8903               | 0.8034         | 1e-10    | 81    |
 | 0.0419     | 0.8829          | 0.7922    | 0.0427          | 0.8905               | 0.8038         | 1e-10    | 82    |
 | 0.0426     | 0.8820          | 0.7908    | 0.0431          | 0.8894               | 0.8019         | 1e-10    | 83    |
+| 0.0424     | 0.8830          | 0.7921    | 0.0433          | 0.8893               | 0.8018         | 1e-10    | 84    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2e248956674cecbe3b0a039307ba8612c628bf568f1d84bac355a5eca8222505
+oid sha256:7314ac717bb50ba015d4f99ae338a89d10dfe0c014082df7129ea49c04157d79
 size 15133664