Training in progress epoch 36

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: 0.0522
-- Train Dice Coef: 0.8408
-- Train Iou: 0.7385
-- Validation Loss: 0.0456
-- Validation Dice Coef: 0.8838
-- Validation Iou: 0.7927
+- Train Loss: 0.0521
+- Train Dice Coef: 0.8484
+- Train Iou: 0.7454
+- Validation Loss: 0.0453
+- Validation Dice Coef: 0.8839
+- Validation Iou: 0.7929
 - Train Lr: 2.5e-07
-- Epoch: 35
+- Epoch: 36
 
 ## Model description
 
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': 2.5e-07, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': 1.25e-08, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
@@ -83,6 +83,7 @@ The following hyperparameters were used during training:
 | 0.0524     | 0.8414          | 0.7376    | 0.0453          | 0.8840               | 0.7930         | 2.5e-07  | 33    |
 | 0.0524     | 0.8406          | 0.7372    | 0.0446          | 0.8842               | 0.7935         | 2.5e-07  | 34    |
 | 0.0522     | 0.8408          | 0.7385    | 0.0456          | 0.8838               | 0.7927         | 2.5e-07  | 35    |
+| 0.0521     | 0.8484          | 0.7454    | 0.0453          | 0.8839               | 0.7929         | 2.5e-07  | 36    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9b258edced2a1f15d7417d113dede2fcc3cf9008da3995601934f0e575d4064f
 size 15133664