readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: bio_bert_ft
    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_bert_ft
  
  This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0747
  - F1: 0.8621
  
  ## 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: 5e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.0879        | 1.0   | 170  | 0.0400          | 0.8312 |
  | 0.0211        | 2.0   | 340  | 0.0454          | 0.8413 |
  | 0.0105        | 3.0   | 510  | 0.0503          | 0.8603 |
  | 0.0045        | 4.0   | 680  | 0.0497          | 0.8496 |
  | 0.0028        | 5.0   | 850  | 0.0759          | 0.8387 |
  | 0.0019        | 6.0   | 1020 | 0.0654          | 0.8598 |
  | 0.0011        | 7.0   | 1190 | 0.0667          | 0.8654 |
  | 0.0005        | 8.0   | 1360 | 0.0702          | 0.8621 |
  | 0.0003        | 9.0   | 1530 | 0.0739          | 0.8596 |
  | 0.0002        | 10.0  | 1700 | 0.0747          | 0.8621 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  