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dropout_gpt2 – AI Model by danj0nes | AlphaNeural AI

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danj0nes/
dropout_gpt2

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text-generation

generated_from_trainer

openai-community/gpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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dropout_gpt2

This model is a fine-tuned version of gpt2 on a English Wikipedia dataset.

Model description

Dropout debiased gpt2 using the hyperparameters specified in Measuring and Reducing Gendered Correlations in Pre-trained Models (Webster et al. 2021) and the code used in An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models (Meade et al. 2022).

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