readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: medberta_v2
    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. -->
  
  # medberta_v2
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7111
  
  ## 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: 7e-05
  - train_batch_size: 72
  - eval_batch_size: 72
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 0.9168        | 0.96  | 40000  | 0.8666          |
  | 0.8392        | 1.91  | 80000  | 0.7871          |
  | 0.7867        | 2.87  | 120000 | 0.7432          |
  | 0.7418        | 3.83  | 160000 | 0.7111          |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.10.0+cu113
  - Datasets 1.16.1
  - Tokenizers 0.12.1
  