metadata
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 tutorials for teaching purposes.
Training and evaluation data
Il dataset usato è "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
View Model Plot
