readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: Bio_ClinicalBERT_fold_6_ternary_v1
    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_fold_6_ternary_v1
  
  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: 1.7302
  - F1: 0.8128
  
  ## 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: 25
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 1.0   | 292  | 0.5359          | 0.7833 |
  | 0.5585        | 2.0   | 584  | 0.5376          | 0.8026 |
  | 0.5585        | 3.0   | 876  | 0.6117          | 0.8038 |
  | 0.2314        | 4.0   | 1168 | 0.8036          | 0.7974 |
  | 0.2314        | 5.0   | 1460 | 0.9467          | 0.8179 |
  | 0.1093        | 6.0   | 1752 | 1.2957          | 0.7923 |
  | 0.0384        | 7.0   | 2044 | 1.3423          | 0.8026 |
  | 0.0384        | 8.0   | 2336 | 1.2644          | 0.8218 |
  | 0.021         | 9.0   | 2628 | 1.3093          | 0.8231 |
  | 0.021         | 10.0  | 2920 | 1.3282          | 0.8179 |
  | 0.0129        | 11.0  | 3212 | 1.3853          | 0.8295 |
  | 0.0078        | 12.0  | 3504 | 1.4705          | 0.8154 |
  | 0.0078        | 13.0  | 3796 | 1.5063          | 0.8167 |
  | 0.0064        | 14.0  | 4088 | 1.5293          | 0.8179 |
  | 0.0064        | 15.0  | 4380 | 1.6303          | 0.8128 |
  | 0.0085        | 16.0  | 4672 | 1.5945          | 0.8115 |
  | 0.0085        | 17.0  | 4964 | 1.6899          | 0.8103 |
  | 0.0056        | 18.0  | 5256 | 1.6952          | 0.8064 |
  | 0.0055        | 19.0  | 5548 | 1.7550          | 0.7936 |
  | 0.0055        | 20.0  | 5840 | 1.6779          | 0.8141 |
  | 0.003         | 21.0  | 6132 | 1.7064          | 0.8128 |
  | 0.003         | 22.0  | 6424 | 1.7192          | 0.8154 |
  | 0.0013        | 23.0  | 6716 | 1.8188          | 0.7974 |
  | 0.0014        | 24.0  | 7008 | 1.7273          | 0.8128 |
  | 0.0014        | 25.0  | 7300 | 1.7302          | 0.8128 |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  