Training in progress epoch 46

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: 0.0421
-- Train Dice Coef: 0.8829
-- Train Iou: 0.7921
+- Train Loss: 0.0427
+- Train Dice Coef: 0.8817
+- Train Iou: 0.7901
 - Validation Loss: 0.0431
-- Validation Dice Coef: 0.8899
-- Validation Iou: 0.8028
+- Validation Dice Coef: 0.8896
+- Validation Iou: 0.8023
 - Train Lr: 6.25e-10
-- Epoch: 45
+- Epoch: 46
 
 ## Model description
 
@@ -93,6 +93,7 @@ The following hyperparameters were used during training:
 | 0.0424     | 0.8830          | 0.7922    | 0.0436          | 0.8886               | 0.8008         | 1.25e-08 | 43    |
 | 0.0427     | 0.8806          | 0.7888    | 0.0434          | 0.8893               | 0.8020         | 1.25e-08 | 44    |
 | 0.0421     | 0.8829          | 0.7921    | 0.0431          | 0.8899               | 0.8028         | 6.25e-10 | 45    |
+| 0.0427     | 0.8817          | 0.7901    | 0.0431          | 0.8896               | 0.8023         | 6.25e-10 | 46    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:29838f32a844d5768321ddac7e61f86ac7588cf8d9747597389c61c785e0871b
+oid sha256:1ed3e0b529686e4470562346573173b9d692bffa14f1297419ea9aeb765a67ce
 size 15133664