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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: dropout_gpt2 |
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results: [] |
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language: |
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- en |
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--- |
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# dropout_gpt2 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on a English Wikipedia dataset. |
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## Model description |
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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). |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 0 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 4000 |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
