---
library_name: keras
tags:
- image-segmentation
---

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

 ## Training Metrics

| Epochs | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy |
 |--- |--- |--- |--- |--- |
| 1| 1.189|  0.639|  2.374|  0.596| 
| 2| 0.954|  0.697|  1.89|  0.59| 
| 3| 0.84|  0.732|  1.3|  0.651| 
| 4| 0.77|  0.753|  1.014|  0.677| 
| 5| 0.704|  0.773|  1.053|  0.668| 
 ## Model Plot

<details>
<summary>View Model Plot</summary>

![Model Image](./model.png)

</details>