readme: ---
  datasets:
  - squad_v2
  model_index:
  - name: sapbert-from-pubmedbert-squad2
    results:
    - task:
        name: Question Answering
        type: question-answering
      dataset:
        name: squad_v2
        type: squad_v2
        args: squad_v2
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # sapbert-from-pubmedbert-squad2
  
  This model is a fine-tuned version of [cambridgeltl/SapBERT-from-PubMedBERT-fulltext](https://huggingface.co/cambridgeltl/SapBERT-from-PubMedBERT-fulltext) on the squad_v2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.2582
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.035         | 1.0   | 8298  | 0.9545          |
  | 0.8053        | 2.0   | 16596 | 0.9988          |
  | 0.5949        | 3.0   | 24894 | 0.9909          |
  | 0.4878        | 4.0   | 33192 | 1.1428          |
  | 0.3932        | 5.0   | 41490 | 1.2582          |
  
  
  ### Framework versions
  
  - Transformers 4.7.0
  - Pytorch 1.8.0
  - Datasets 1.4.1
  - Tokenizers 0.10.2
  