sentiment-analysis

Model description

Model created using NLP with Tranformers tutorials for teaching purposes.

Training and evaluation data

Il dataset usato รจ "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

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