Training in progress epoch 83

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: 0.0419
-- Train Dice Coef: 0.8829
-- Train Iou: 0.7922
-- Validation Loss: 0.0427
-- Validation Dice Coef: 0.8905
-- Validation Iou: 0.8038
+- 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 Lr: 1e-10
-- Epoch: 82
+- Epoch: 83
 
 ## Model description
 
@@ -130,6 +130,7 @@ The following hyperparameters were used during training:
 | 0.0419     | 0.8828          | 0.7920    | 0.0431          | 0.8901               | 0.8031         | 1e-10    | 80    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:02ee8f8430d51578842d0b7d2de847ecaf623fb5e41236cb10356296ee0c5ce3
+oid sha256:2e248956674cecbe3b0a039307ba8612c628bf568f1d84bac355a5eca8222505
 size 15133664