Training in progress epoch 12

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: 0.0675
-- Train Dice Coef: 0.8020
-- Train Iou: 0.6854
-- Validation Loss: 0.1319
-- Validation Dice Coef: 0.6935
-- Validation Iou: 0.5427
+- Train Loss: 0.0662
+- Train Dice Coef: 0.8108
+- Train Iou: 0.6957
+- Validation Loss: 0.1593
+- Validation Dice Coef: 0.6269
+- Validation Iou: 0.4826
 - Train Lr: 1e-04
-- Epoch: 11
+- Epoch: 12
 
 ## Model description
 
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': 5e-06, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
@@ -59,6 +59,7 @@ The following hyperparameters were used during training:
 | 0.0765     | 0.7716          | 0.6487    | 0.1073          | 0.7157               | 0.5657         | 1e-04    | 9     |
 | 0.0701     | 0.7974          | 0.6794    | 0.1049          | 0.7190               | 0.5811         | 1e-04    | 10    |
 | 0.0675     | 0.8020          | 0.6854    | 0.1319          | 0.6935               | 0.5427         | 1e-04    | 11    |
+| 0.0662     | 0.8108          | 0.6957    | 0.1593          | 0.6269               | 0.4826         | 1e-04    | 12    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5cb4e0d8b9416dd59d92b72d75178f1b47cfa2a686274971134a278f0e5a21f5
 size 15133664