readme: # BERT-Small fine-tuned on CORD-19 dataset
  
  [BERT L6_H-512_A-8 model](https://huggingface.co/google/bert_uncased_L-6_H-512_A-8) fine-tuned on the [CORD-19 dataset](https://www.semanticscholar.org/cord19).
  
  ## CORD-19 data subset
  The training data for this dataset is stored as a [Kaggle dataset](https://www.kaggle.com/davidmezzetti/cord19-qa?select=cord19.txt). The training
  data is a subset of the full corpus, focusing on high-quality, study-design detected articles.
  
  ## Building the model
  
  ```bash
  python run_language_modeling.py
      --model_type bert
      --model_name_or_path google/bert_uncased_L-6_H-512_A-8
      --do_train
      --mlm
      --line_by_line
      --block_size 512
      --train_data_file cord19.txt
      --per_gpu_train_batch_size 4
      --learning_rate 3e-5
      --num_train_epochs 3.0
      --output_dir bert-small-cord19
      --save_steps 0
      --overwrite_output_dir
  