readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: Bio_ClinicalBERT_fold_1_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_1_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: 1.9306
  - F1: 0.7943
  
  ## 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   | 290  | 0.5314          | 0.7931 |
  | 0.556         | 2.0   | 580  | 0.5572          | 0.8042 |
  | 0.556         | 3.0   | 870  | 0.6381          | 0.7893 |
  | 0.2427        | 4.0   | 1160 | 0.9330          | 0.7807 |
  | 0.2427        | 5.0   | 1450 | 1.1033          | 0.7918 |
  | 0.0987        | 6.0   | 1740 | 1.2582          | 0.7856 |
  | 0.0381        | 7.0   | 2030 | 1.3816          | 0.7807 |
  | 0.0381        | 8.0   | 2320 | 1.5874          | 0.7807 |
  | 0.0199        | 9.0   | 2610 | 1.5712          | 0.7856 |
  | 0.0199        | 10.0  | 2900 | 1.5860          | 0.7856 |
  | 0.0139        | 11.0  | 3190 | 1.7511          | 0.7757 |
  | 0.0139        | 12.0  | 3480 | 1.7635          | 0.7807 |
  | 0.0056        | 13.0  | 3770 | 1.7726          | 0.7893 |
  | 0.0077        | 14.0  | 4060 | 1.7565          | 0.7881 |
  | 0.0077        | 15.0  | 4350 | 1.8406          | 0.7844 |
  | 0.005         | 16.0  | 4640 | 1.8595          | 0.7893 |
  | 0.005         | 17.0  | 4930 | 1.8831          | 0.7770 |
  | 0.0036        | 18.0  | 5220 | 1.9561          | 0.7881 |
  | 0.0017        | 19.0  | 5510 | 2.0062          | 0.7856 |
  | 0.0017        | 20.0  | 5800 | 1.9275          | 0.7980 |
  | 0.0004        | 21.0  | 6090 | 1.8752          | 0.7993 |
  | 0.0004        | 22.0  | 6380 | 1.9238          | 0.7918 |
  | 0.0022        | 23.0  | 6670 | 1.9552          | 0.7881 |
  | 0.0022        | 24.0  | 6960 | 1.9274          | 0.7955 |
  | 0.0009        | 25.0  | 7250 | 1.9306          | 0.7943 |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  