readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - source_data_nlp
  metrics:
  - precision
  - recall
  - f1
  model-index:
  - name: sd-geneprod-roles-v2
    results:
    - task:
        name: Token Classification
        type: token-classification
      dataset:
        name: source_data_nlp
        type: source_data_nlp
        args: GENEPROD_ROLES
      metrics:
      - name: Precision
        type: precision
        value: 0.9227577212638568
      - name: Recall
        type: recall
        value: 0.9288143683990692
      - name: F1
        type: f1
        value: 0.9257761389318425
  ---
  
  <!-- 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. -->
  
  # sd-geneprod-roles-v2
  
  This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-large](https://huggingface.co/michiyasunaga/BioLinkBERT-large) on the source_data_nlp dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0136
  - Accuracy Score: 0.9950
  - Precision: 0.9228
  - Recall: 0.9288
  - F1: 0.9258
  
  ## 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: 256
  - seed: 42
  - optimizer: Adafactor
  - lr_scheduler_type: linear
  - num_epochs: 1.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy Score | Precision | Recall | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:---------:|:------:|:------:|
  | 0.014         | 1.0   | 1569 | 0.0136          | 0.9950         | 0.9228    | 0.9288 | 0.9258 |
  
  
  ### Framework versions
  
  - Transformers 4.20.0
  - Pytorch 1.11.0a0+bfe5ad2
  - Datasets 1.17.0
  - Tokenizers 0.12.1
  