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---
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>
</details> |