readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: Bio_ClinicalBERT-finetuned-cad-20pc
    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. -->
  
  # Bio_ClinicalBERT-finetuned-cad-20pc
  
  This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0088
  - Accuracy: 1.0
  - F1: 1.0
  
  ## 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 | Accuracy | F1  |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
  | No log        | 1.0   | 7    | 0.1109          | 1.0      | 1.0 |
  | No log        | 2.0   | 14   | 0.0284          | 1.0      | 1.0 |
  | No log        | 3.0   | 21   | 0.0142          | 1.0      | 1.0 |
  | No log        | 4.0   | 28   | 0.0097          | 1.0      | 1.0 |
  | No log        | 5.0   | 35   | 0.0088          | 1.0      | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  