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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
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Dataset used to train glombardo/misogynistic-statements-classification-model