readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: my_awesome_wnut_model
    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. -->
  
  # my_awesome_wnut_model
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 0.0968
  - eval_overall_precision: 0.7090
  - eval_overall_recall: 0.7537
  - eval_overall_f1: 0.7306
  - eval_overall_accuracy: 0.9731
  - eval_HumanProd_f1: 0.3733
  - eval_LOC_f1: 0.7596
  - eval_ORG_f1: 0.5874
  - eval_PER_f1: 0.7607
  - eval_runtime: 123.6596
  - eval_samples_per_second: 19.804
  - eval_steps_per_second: 1.245
  - epoch: 2.0
  - step: 1226
  
  ## 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: 2
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cpu
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  