Training in progress epoch 91

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: 0.0424
-- Train Dice Coef: 0.8818
-- Train Iou: 0.7903
-- Validation Loss: 0.0434
-- Validation Dice Coef: 0.8897
-- Validation Iou: 0.8025
+- Train Loss: 0.0422
+- Train Dice Coef: 0.8827
+- Train Iou: 0.7918
+- Validation Loss: 0.0428
+- Validation Dice Coef: 0.8902
+- Validation Iou: 0.8033
 - Train Lr: 1e-10
-- Epoch: 90
+- Epoch: 91
 
 ## Model description
 
@@ -138,6 +138,7 @@ The following hyperparameters were used during training:
 | 0.0423     | 0.8819          | 0.7908    | 0.0431          | 0.8901               | 0.8032         | 1e-10    | 88    |
 | 0.0428     | 0.8809          | 0.7891    | 0.0429          | 0.8897               | 0.8025         | 1e-10    | 89    |
 | 0.0424     | 0.8818          | 0.7903    | 0.0434          | 0.8897               | 0.8025         | 1e-10    | 90    |
+| 0.0422     | 0.8827          | 0.7918    | 0.0428          | 0.8902               | 0.8033         | 1e-10    | 91    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b17a63ce02ba7775bdd3c68e9d8cfb280f2b92fce18feea790ec285c8cca87f
+oid sha256:32b9537a1d2744854c5c2c13225595ce9127e6bbad9a0a41d8c04b40b9907312
 size 15133664