readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilbert-base-uncased-finetuned-PubmedQA
    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. -->
  
  # distilbert-base-uncased-finetuned-PubmedQA
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.2957
  
  ## 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: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 21   | 4.6513          |
  | No log        | 2.0   | 42   | 4.1809          |
  | No log        | 3.0   | 63   | 4.1888          |
  | No log        | 4.0   | 84   | 4.0779          |
  | No log        | 5.0   | 105  | 4.1221          |
  | No log        | 6.0   | 126  | 4.1381          |
  | No log        | 7.0   | 147  | 4.0619          |
  | No log        | 8.0   | 168  | 4.1242          |
  | No log        | 9.0   | 189  | 4.1044          |
  | No log        | 10.0  | 210  | 4.1699          |
  | No log        | 11.0  | 231  | 4.1761          |
  | No log        | 12.0  | 252  | 4.3132          |
  | No log        | 13.0  | 273  | 4.2233          |
  | No log        | 14.0  | 294  | 4.3036          |
  | No log        | 15.0  | 315  | 4.2894          |
  | No log        | 16.0  | 336  | 4.3075          |
  | No log        | 17.0  | 357  | 4.3120          |
  | No log        | 18.0  | 378  | 4.2841          |
  | No log        | 19.0  | 399  | 4.3161          |
  | No log        | 20.0  | 420  | 4.2957          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  