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: 0.0523
+- Train Loss: 0.0519
 - Train Dice Coef: 0.8445
-- Train Iou: 0.7413
-- Validation Loss: 0.0453
-- Validation Dice Coef: 0.8839
-- Validation Iou: 0.7930
+- Train Iou: 0.7434
+- Validation Loss: 0.0446
+- Validation Dice Coef: 0.8858
+- Validation Iou: 0.7959
 - Train Lr: 6.25e-10
-- Epoch: 45
+- Epoch: 46
 
 ## Model description
 
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': 6.25e-10, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': 1e-10, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
@@ -93,6 +93,7 @@ The following hyperparameters were used during training:
 | 0.0523     | 0.8406          | 0.7381    | 0.0452          | 0.8835               | 0.7922         | 6.25e-10 | 43    |
 | 0.0519     | 0.8427          | 0.7402    | 0.0449          | 0.8854               | 0.7952         | 6.25e-10 | 44    |
 | 0.0523     | 0.8445          | 0.7413    | 0.0453          | 0.8839               | 0.7930         | 6.25e-10 | 45    |
+| 0.0519     | 0.8445          | 0.7434    | 0.0446          | 0.8858               | 0.7959         | 6.25e-10 | 46    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3733134d399c92c102b2f82f1e963d6c8c087eb29c09145bbe2c6a64d0d18693
+oid sha256:a55ce834b35619c6053df27d0f6bd7d60f47df638fcdc8304c3dbcafd59a6986
 size 15133664