readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - custom_squad_v2
  model-index:
  - name: kobigbird-pure2-93753787
    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. -->
  
  # kobigbird-pure2-93753787
  
  This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on the custom_squad_v2 dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 3.4619
  - eval_runtime: 26.5163
  - eval_samples_per_second: 45.406
  - eval_steps_per_second: 0.717
  - epoch: 0.99
  - step: 21
  
  ## 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: 64
  - eval_batch_size: 64
  - seed: 2
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 512
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - num_epochs: 2
  - mixed_precision_training: Native AMP
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  