Training in progress epoch 45

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: 0.0427
-- Train Dice Coef: 0.8806
-- Train Iou: 0.7888
-- Validation Loss: 0.0434
-- Validation Dice Coef: 0.8893
-- Validation Iou: 0.8020
-- Train Lr: 1.25e-08
-- Epoch: 44
+- Train Loss: 0.0421
+- Train Dice Coef: 0.8829
+- Train Iou: 0.7921
+- Validation Loss: 0.0431
+- Validation Dice Coef: 0.8899
+- Validation Iou: 0.8028
+- Train Lr: 6.25e-10
+- Epoch: 45
 
 ## Model description
 
@@ -92,6 +92,7 @@ The following hyperparameters were used during training:
 | 0.0424     | 0.8832          | 0.7926    | 0.0433          | 0.8893               | 0.8019         | 1.25e-08 | 42    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

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