readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - hashdujaili/radqa
  model-index:
  - name: RADBERT-RP8-RADQA
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  # RADBERT-RP-RADQA
  
  This model is a fine-tuned version of RadBERT-RP on the SQuAD v2 and RadQA datasets.
  
  ## Model description
  
  After domain-adaptive pretraining on the Radiopedia datset, this model was finetuned on the SQuAD v2 and RadQA datasets for 2 epochs. Manuscript in review.
  
  ## Intended uses & limitations
  
  Extractive QA of Radiology Reports
  
  ## Training and evaluation data
  
  Refer to publication (under review) for further details.
  
  ## Training procedure
  
  Refer to publication (under review) for further details.
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 3e-05
  - train_batch_size: 32
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  Refer to publication (under review) for further details.
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.10.0+cu111
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  