
## 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 | Validation Loss |
 |--- |--- |--- |
| 1| 0.184|  0.105| 
| 2| 0.101|  0.097| 
| 3| 0.096|  0.094| 
| 4| 0.094|  0.092| 
| 5| 0.092|  0.091| 
| 6| 0.091|  0.09| 
| 7| 0.09|  0.089| 
| 8| 0.09|  0.089| 
| 9| 0.089|  0.089| 
| 10| 0.089|  0.088| 
 ## Model Plot

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

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

</details>
{"library_name": "keras"}
keras region:us
TAGS
#keras #region-us 

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: 1, Train Loss: 0.184, Validation Loss: 0.105
Epochs: 2, Train Loss: 0.101, Validation Loss: 0.097
Epochs: 3, Train Loss: 0.096, Validation Loss: 0.094
Epochs: 4, Train Loss: 0.094, Validation Loss: 0.092
Epochs: 5, Train Loss: 0.092, Validation Loss: 0.091
Epochs: 6, Train Loss: 0.091, Validation Loss: 0.09
Epochs: 7, Train Loss: 0.09, Validation Loss: 0.089
Epochs: 8, Train Loss: 0.09, Validation Loss: 0.089
Epochs: 9, Train Loss: 0.089, Validation Loss: 0.089
Epochs: 10, Train Loss: 0.089, Validation Loss: 0.088


Model Plot
----------



View Model Plot
!Model Image



### 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: 1, Train Loss: 0.184, Validation Loss: 0.105
Epochs: 2, Train Loss: 0.101, Validation Loss: 0.097
Epochs: 3, Train Loss: 0.096, Validation Loss: 0.094
Epochs: 4, Train Loss: 0.094, Validation Loss: 0.092
Epochs: 5, Train Loss: 0.092, Validation Loss: 0.091
Epochs: 6, Train Loss: 0.091, Validation Loss: 0.09
Epochs: 7, Train Loss: 0.09, Validation Loss: 0.089
Epochs: 8, Train Loss: 0.09, Validation Loss: 0.089
Epochs: 9, Train Loss: 0.089, Validation Loss: 0.089
Epochs: 10, Train Loss: 0.089, Validation Loss: 0.088


Model Plot
----------



View Model Plot
!Model Image
TAGS
#keras #region-us 
 ### 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: 1, Train Loss: 0.184, Validation Loss: 0.105
Epochs: 2, Train Loss: 0.101, Validation Loss: 0.097
Epochs: 3, Train Loss: 0.096, Validation Loss: 0.094
Epochs: 4, Train Loss: 0.094, Validation Loss: 0.092
Epochs: 5, Train Loss: 0.092, Validation Loss: 0.091
Epochs: 6, Train Loss: 0.091, Validation Loss: 0.09
Epochs: 7, Train Loss: 0.09, Validation Loss: 0.089
Epochs: 8, Train Loss: 0.09, Validation Loss: 0.089
Epochs: 9, Train Loss: 0.089, Validation Loss: 0.089
Epochs: 10, Train Loss: 0.089, Validation Loss: 0.088


Model Plot
----------



View Model Plot
!Model Image
passage: TAGS
#keras #region-us 
### 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: 1, Train Loss: 0.184, Validation Loss: 0.105
Epochs: 2, Train Loss: 0.101, Validation Loss: 0.097
Epochs: 3, Train Loss: 0.096, Validation Loss: 0.094
Epochs: 4, Train Loss: 0.094, Validation Loss: 0.092
Epochs: 5, Train Loss: 0.092, Validation Loss: 0.091
Epochs: 6, Train Loss: 0.091, Validation Loss: 0.09
Epochs: 7, Train Loss: 0.09, Validation Loss: 0.089
Epochs: 8, Train Loss: 0.09, Validation Loss: 0.089
Epochs: 9, Train Loss: 0.089, Validation Loss: 0.089
Epochs: 10, Train Loss: 0.089, Validation Loss: 0.088


Model Plot
----------



View Model Plot
!Model Image