Training in progress epoch 41

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: 0.0422
+- Train Loss: 0.0426
 - Train Dice Coef: 0.8824
-- Train Iou: 0.7914
-- Validation Loss: 0.0427
-- Validation Dice Coef: 0.8897
-- Validation Iou: 0.8024
+- Train Iou: 0.7913
+- Validation Loss: 0.0431
+- Validation Dice Coef: 0.8900
+- Validation Iou: 0.8030
 - Train Lr: 1.25e-08
-- Epoch: 40
+- Epoch: 41
 
 ## Model description
 
@@ -88,6 +88,7 @@ The following hyperparameters were used during training:
 | 0.0420     | 0.8833          | 0.7929    | 0.0430          | 0.8895               | 0.8023         | 2.5e-07  | 38    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:da7bd5effeaaa333163334f220c0cc5bb9159b3fa6fb7e82a07748978898cfeb
+oid sha256:1e49dca09281f2c32f9e1ef4db898115af508b08cf6680aea382a9f193e86ffa
 size 15133664