Training in progress epoch 42

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: 0.8824
-- Train Iou: 0.7913
-- Validation Loss: 0.0431
-- Validation Dice Coef: 0.8900
-- Validation Iou: 0.8030
+- Train Loss: 0.0424
+- Train Dice Coef: 0.8832
+- Train Iou: 0.7926
+- Validation Loss: 0.0433
+- Validation Dice Coef: 0.8893
+- Validation Iou: 0.8019
 - Train Lr: 1.25e-08
-- Epoch: 41
+- Epoch: 42
 
 ## Model description
 
@@ -89,6 +89,7 @@ The following hyperparameters were used during training:
 | 0.0424     | 0.8832          | 0.7924    | 0.0437          | 0.8890               | 0.8013         | 2.5e-07  | 39    |
 | 0.0422     | 0.8824          | 0.7914    | 0.0427          | 0.8897               | 0.8024         | 1.25e-08 | 40    |
 | 0.0426     | 0.8824          | 0.7913    | 0.0431          | 0.8900               | 0.8030         | 1.25e-08 | 41    |
+| 0.0424     | 0.8832          | 0.7926    | 0.0433          | 0.8893               | 0.8019         | 1.25e-08 | 42    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1e49dca09281f2c32f9e1ef4db898115af508b08cf6680aea382a9f193e86ffa
+oid sha256:03f0614d1322dbfe966fddc2a372334d85942b0a963dc79eccbcea055475f5e8
 size 15133664