README.md

metadata

license: apache-2.0
tags:
  - text-classification
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: misogynistic-statements-classification-model
    results: []
widget:
  - text: Las mujeres deben ser madres antes que nada
    example_title: Machista
  - text: >-
      Las mujeres tienen el mismo potencial y habilidades para los negocios que
      los hombres
    example_title: No machista
datasets:
  - glombardo/misogynistic-statements-classification
language:
  - es
output_data:
  - format: class
  - class_labels:
      - Sexist
      - Non-sexist

Misogynistic statements classification model

Model that classifies text as sexist or non-sexist.

This model is a fine-tuned version of distilroberta-base on the misogynistic-statements-classification dataset. It achieves the following results on the evaluation set:

• Loss: 0.2493
• Accuracy: 0.9524

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3