---
library_name: keras
---

## 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': 'RMSprop', 'learning_rate': 0.001, 'decay': 0.0, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': False}
- training_precision: float32

 ## Training Metrics

| Epochs | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy |
 |--- |--- |--- |--- |--- |
| 1| 2.157|  0.289|  1.828|  0.371| 
| 2| 1.795|  0.388|  1.746|  0.409| 
| 3| 1.639|  0.436|  1.597|  0.43| 
| 4| 1.523|  0.471|  1.54|  0.463| 
| 5| 1.427|  0.503|  1.485|  0.479| 
 ## Model Plot

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

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

</details>