readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - squad_kor_v1
  model-index:
  - name: kobert-finetuned-squad_kor_v1
    results:
    - task:
        name: Question Answering
        type: question-answering
      dataset:
        name: squad_kor_v1
        type: squad_kor_v1
        args: squad_kor_v1
  ---
  
  <!-- 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. -->
  
  # kobert-finetuned-squad_kor_v1
  
  This model is a fine-tuned version of [monologg/kobert](https://huggingface.co/monologg/kobert) on the squad_kor_v1 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.0928
  
  ## 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: 1
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 4.0155        | 1.0   | 3808 | 4.0928          |
  
  
  ### Framework versions
  
  - Transformers 4.10.2
  - Pytorch 1.9.0+cu102
  - Datasets 1.11.0
  - Tokenizers 0.10.3
  