---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: dropout_gpt2
  results: []
language:
- en
---

# dropout_gpt2

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on a English Wikipedia dataset.

## Model description

Dropout debiased [gpt2](https://huggingface.co/gpt2) using the hyperparameters specified in [Measuring and Reducing Gendered Correlations in Pre-trained Models (Webster et al. 2021)](https://arxiv.org/abs/2010.06032) and the code used in [An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models (Meade et al. 2022)](https://arxiv.org/abs/2110.08527).

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 0
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 4000

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0