readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - squad
  model-index:
  - name: bert-small-finetuned-squad
    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. -->
  
  # bert-small-finetuned-squad
  
  This model is a fine-tuned version of [prajjwal1/bert-small](https://huggingface.co/prajjwal1/bert-small) on the squad dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 1.3138
  - eval_runtime: 46.6577
  - eval_samples_per_second: 231.13
  - eval_steps_per_second: 14.446
  - epoch: 4.0
  - step: 22132
  
  {'exact_match': 71.05960264900662, 'f1': 80.8260245470904}
  
  ## 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: 20
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.0
  - Tokenizers 0.10.3
  