README.md

---
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:

| Hyperparameters | Value |
| :-- | :-- |
| name | AdamWeightDecay |
| learning_rate.module | official.nlp.optimization |
| learning_rate.class_name | WarmUp |
| learning_rate.config.initial_learning_rate.class_name | __tensor__ |
| learning_rate.config.initial_learning_rate.config.value | 1.799999881768599e-05 |
| learning_rate.config.initial_learning_rate.config.dtype | float32 |
| learning_rate.config.decay_schedule_fn.module | keras.optimizers.schedules |
| learning_rate.config.decay_schedule_fn.class_name | PolynomialDecay |
| learning_rate.config.decay_schedule_fn.config.initial_learning_rate | 2e-05 |
| learning_rate.config.decay_schedule_fn.config.decay_steps | 5848 |
| learning_rate.config.decay_schedule_fn.config.end_learning_rate | 0 |
| learning_rate.config.decay_schedule_fn.config.power | 1.0 |
| learning_rate.config.decay_schedule_fn.config.cycle | False |
| learning_rate.config.decay_schedule_fn.config.name | None |
| learning_rate.config.decay_schedule_fn.registered_name | None |
| learning_rate.config.warmup_steps | 584.8000000000001 |
| learning_rate.config.power | 1.0 |
| learning_rate.config.name | None |
| learning_rate.registered_name | WarmUp |
| decay | 0.0 |
| beta_1 | 0.9 |
| beta_2 | 0.999 |
| epsilon | 1e-06 |
| amsgrad | False |
| weight_decay_rate | 0.95 |
| training_precision | float32 |


 ## Model Plot

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

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

</details>