Training in progress epoch 58

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: 0.0161
-- Train Dice Coef: 0.8061
-- Train Iou: 0.6828
-- Validation Loss: 0.0226
+- Train Loss: 0.0160
+- Train Dice Coef: 0.8062
+- Train Iou: 0.6833
+- Validation Loss: 0.0231
 - Validation Dice Coef: 0.8560
-- Validation Iou: 0.7506
+- Validation Iou: 0.7505
 - Train Lr: 6.25e-10
-- Epoch: 57
+- Epoch: 58
 
 ## 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
@@ -105,6 +105,7 @@ The following hyperparameters were used during training:
 | 0.0159     | 0.8057          | 0.6834    | 0.0230          | 0.8558               | 0.7501         | 6.25e-10 | 55    |
 | 0.0160     | 0.8045          | 0.6811    | 0.0226          | 0.8574               | 0.7525         | 6.25e-10 | 56    |
 | 0.0161     | 0.8061          | 0.6828    | 0.0226          | 0.8560               | 0.7506         | 6.25e-10 | 57    |
+| 0.0160     | 0.8062          | 0.6833    | 0.0231          | 0.8560               | 0.7505         | 6.25e-10 | 58    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:56ebe0da4384807d65e06b4f2fed5dc9ebb7686b00ff844ed9f6b94a7674bb83
 size 15133664