readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - cfilt/HiNER-collapsed
  metrics:
  - precision
  - recall
  - f1
  model-index:
  - name: HiNER-collapsed-xlm-roberta-base
    results:
    - task:
        name: Token Classification
        type: token-classification
      dataset:
        type: cfilt/HiNER-collapsed
        name: HiNER Collapsed
      metrics:
      - name: Precision
        type: precision
        value: 0.9137448834064936
      - name: Recall
        type: recall
        value: 0.9296549644788663
      - name: F1
        type: f1
        value: 0.9216312652954473
  ---
  
  <!-- 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. -->
  
  # HiNER-collapsed-xlm-roberta-base
  
  This model was trained from scratch on the cfilt/HiNER-collapsed dataset.
  
  ## 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: 8
  - seed: 1
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10.0
  
  ### Framework versions
  
  - Transformers 4.14.0
  - Pytorch 1.9.1
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  