readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - korquad
  model-index:
  - name: komrc_train
    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. -->
  
  # komrc_train
  
  This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the korquad dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6544
  
  ## 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: 1234
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.8187        | 0.31  | 2000  | 0.7377          |
  | 0.6947        | 0.63  | 4000  | 0.6934          |
  | 0.6352        | 0.94  | 6000  | 0.6544          |
  | 0.3869        | 1.25  | 8000  | 0.7633          |
  | 0.3812        | 1.56  | 10000 | 0.7047          |
  | 0.3579        | 1.88  | 12000 | 0.7097          |
  | 0.2053        | 2.19  | 14000 | 0.8511          |
  | 0.2173        | 2.5   | 16000 | 0.8457          |
  | 0.2094        | 2.82  | 18000 | 0.8433          |
  
  
  ### Framework versions
  
  - Transformers 4.13.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.4
  - Tokenizers 0.10.3
  