---
library_name: keras
license: mit
datasets:
- dair-ai/emotion
language:
- en
pipeline_tag: text-classification
tags:
- sentiment-analysis
---

## Model description

Model created using [NLP with Tranformers](https://www.oreilly.com/library/view/natural-language-processing/9781098136789/) tutorials for teaching purposes.

## Training and evaluation data

Il dataset usato è ["emotion"](https://huggingface.co/datasets/dair-ai/emotion) the 20K version.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:

| Hyperparameters | Value |
| :-- | :-- |
| name | Adam |
| weight_decay | None |
| clipnorm | None |
| global_clipnorm | None |
| clipvalue | None |
| use_ema | False |
| ema_momentum | 0.99 |
| ema_overwrite_frequency | None |
| jit_compile | True |
| is_legacy_optimizer | False |
| learning_rate | 4.999999873689376e-05 |
| beta_1 | 0.9 |
| beta_2 | 0.999 |
| epsilon | 1e-07 |
| amsgrad | False |
| training_precision | float32 |


 ## Model Plot

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

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

</details>