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---
datasets:
- dair-ai/emotion
language:
- en
library_name: tf-keras
license: mit
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>
</details> |