readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt2-finetuned-scientific-articles
    results: []
  ---
  
  This repository is the submission for the final project for BF510 [Institutional Racism in Health and Science](http://irhs.bu.edu/) for Shariq Madha.
  
  To see Jupyter detailing how this model was produced, as well as the motivation behind it, go [here](https://github.com/ssmadha/BF510-final-project/).
  
  To try this out yourself, enter a prompt in the textbox to the right and hit compute (it may take a minute for the first to process, but subsequent results should be quick).
  
  # gpt2-finetuned-scientific-articles
  
  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on scientific articles about algorithmic bias.
  It achieves the following results on the evaluation set:
  - Loss: 2.3793
  
  ## Model description
  
  This model is a casual language modeling GPT2 fine-tuned on scientific articles about algorithmic bias, in an attempt to showcase an example about correcting for algorithmic bias.
  
  ## Intended uses & limitations
  
  This model is intended for prompts about algorithms and bias. Other prompts will yield results, but they are less likely to be influenced by the fine-tuning.
  
  ## Training and evaluation data
  
  This model is trained on fully freely accessible articles obtained from a PubMed Central search on algorithmic bias. The pmc_result_algorithmicbias.txt file contains the list of PMC's used. Due to technical and time limitations, only fine-tuned on the introduction sections, but training on other sections is planned.
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.5293        | 1.0   | 1071 | 2.3892          |
  | 2.4821        | 2.0   | 2142 | 2.3793          |
  
  
  ### Framework versions
  
  - Transformers 4.14.0.dev0
  - Pytorch 1.10.0+cu102
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  