readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: biobert-base-cased-v1.2-finetuned-ner-CRAFT_English
    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. -->
  
  # biobert-base-cased-v1.2-finetuned-ner-CRAFT_English
  
  This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.2](https://huggingface.co/dmis-lab/biobert-base-cased-v1.2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1614
  - Precision: 0.8585
  - Recall: 0.8623
  - F1: 0.8604
  - Accuracy: 0.9724
  
  ## 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: 3e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | 0.0725        | 1.0   | 1360 | 0.1242          | 0.8090    | 0.8698 | 0.8383 | 0.9681   |
  | 0.0281        | 2.0   | 2720 | 0.1541          | 0.8497    | 0.8549 | 0.8523 | 0.9705   |
  | 0.0162        | 3.0   | 4080 | 0.1510          | 0.8390    | 0.8681 | 0.8533 | 0.9711   |
  | 0.0053        | 4.0   | 5440 | 0.1614          | 0.8585    | 0.8623 | 0.8604 | 0.9724   |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.4
  - Tokenizers 0.11.6
  