readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-ContaminationQAmodel_PubmedBERT
    results: []
  ---
  
  <!-- 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. -->
  
  # BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-ContaminationQAmodel_PubmedBERT
  
  This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7515
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 22   | 3.9518          |
  | No log        | 2.0   | 44   | 3.2703          |
  | No log        | 3.0   | 66   | 2.9308          |
  | No log        | 4.0   | 88   | 2.7806          |
  | No log        | 5.0   | 110  | 2.6926          |
  | No log        | 6.0   | 132  | 2.7043          |
  | No log        | 7.0   | 154  | 2.7113          |
  | No log        | 8.0   | 176  | 2.7236          |
  | No log        | 9.0   | 198  | 2.7559          |
  | No log        | 10.0  | 220  | 2.7515          |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  