readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: AgitationNotesClassification
    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. -->
  
  # AgitationNotesClassification
  
  This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4128
  - F1: 0.8690
  
  ## 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: 1e-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
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.6567        | 1.0   | 50   | 0.6130          | 0.6500 |
  | 0.6056        | 2.0   | 100  | 0.5807          | 0.6763 |
  | 0.5172        | 3.0   | 150  | 0.5398          | 0.6675 |
  | 0.4206        | 4.0   | 200  | 0.4111          | 0.8355 |
  | 0.3361        | 5.0   | 250  | 0.3977          | 0.8667 |
  | 0.2919        | 6.0   | 300  | 0.3874          | 0.8780 |
  | 0.2233        | 7.0   | 350  | 0.3928          | 0.8690 |
  | 0.1953        | 8.0   | 400  | 0.3908          | 0.8690 |
  | 0.1633        | 9.0   | 450  | 0.4076          | 0.86   |
  | 0.1494        | 10.0  | 500  | 0.4128          | 0.8690 |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  