Training in progress epoch 39

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: 0.0187
-- Train Dice Coef: 0.7791
-- Train Iou: 0.6502
-- Validation Loss: 0.0234
-- Validation Dice Coef: 0.8496
-- Validation Iou: 0.7424
+- Train Loss: 0.0189
+- Train Dice Coef: 0.7743
+- Train Iou: 0.6446
+- Validation Loss: 0.0237
+- Validation Dice Coef: 0.8501
+- Validation Iou: 0.7429
 - Train Lr: 1.25e-08
-- Epoch: 38
+- Epoch: 39
 
 ## Model description
 
@@ -86,6 +86,7 @@ The following hyperparameters were used during training:
 | 0.0187     | 0.7758          | 0.6463    | 0.0232          | 0.8501               | 0.7433         | 1.25e-08 | 36    |
 | 0.0187     | 0.7774          | 0.6497    | 0.0232          | 0.8496               | 0.7423         | 1.25e-08 | 37    |
 | 0.0187     | 0.7791          | 0.6502    | 0.0234          | 0.8496               | 0.7424         | 1.25e-08 | 38    |
+| 0.0189     | 0.7743          | 0.6446    | 0.0237          | 0.8501               | 0.7429         | 1.25e-08 | 39    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:06d26b6898aae93ecf0c7135446efafb6304c4bc9fbf91a7e5fd6aba74701f0b
+oid sha256:02a78b316c062d656b45079334445a3a277cabe539c71a0654e966545de21346
 size 15133664