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pln-fing-udelar/
robertuito-HUHU-task2a-group4

Name: robertuito-HUHU-task2a-group4
Availability: InStock

transformers

roberta

text-classification

generated_from_keras_callback

autotrain_compatible

endpoints_compatible

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robertuito-HUHU-task2a-group4

This model is a fine-tuned version of pysentimiento/robertuito-base-uncased for the HUHU Shared Task at IberLEF 2023. It was trained on a partition of the train set provided by the organizers.

Model description

This model is a fine-tuned version of pysentimiento/robertuito-base-uncased for the task of classifying a tweet (considered to be hurtful or conveying prejudice in some way) as PREJUDICE-OVERWEIGHT if it shows prejudice towards overweight people.

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

optimizer: {'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': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Epoch
0.1952	1
0.0340	2

Framework versions

Transformers 4.30.2
TensorFlow 2.12.0
Tokenizers 0.13.3

pln-fing-udelar/robertuito-HUHU-task2a-group4