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: 0.0529
-- Train Dice Coef: 0.8410
-- Train Iou: 0.7388
-- Validation Loss: 0.0448
-- Validation Dice Coef: 0.8848
-- Validation Iou: 0.7944
+- Train Loss: 0.0519
+- Train Dice Coef: 0.8402
+- Train Iou: 0.7391
+- Validation Loss: 0.0444
+- Validation Dice Coef: 0.8852
+- Validation Iou: 0.7951
 - Train Lr: 1.25e-08
-- Epoch: 40
+- Epoch: 41
 
 ## Model description
 
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': 1.25e-08, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': 6.25e-10, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
@@ -88,6 +88,7 @@ The following hyperparameters were used during training:
 | 0.0521     | 0.8370          | 0.7344    | 0.0451          | 0.8845               | 0.7939         | 1.25e-08 | 38    |
 | 0.0524     | 0.8484          | 0.7452    | 0.0456          | 0.8837               | 0.7927         | 1.25e-08 | 39    |
 | 0.0529     | 0.8410          | 0.7388    | 0.0448          | 0.8848               | 0.7944         | 1.25e-08 | 40    |
+| 0.0519     | 0.8402          | 0.7391    | 0.0444          | 0.8852               | 0.7951         | 1.25e-08 | 41    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:604a6ac5f025466476b6b2fff39294902dadd37369da4f0aa8eb7a0c69848abb
 size 15133664