readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: kobigbird-bert-base-finetuned-klue-v2
    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-bert-base-finetuned-klue-v2
  
  This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9250
  
  ## 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: 5e-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: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 4.5274        | 0.35  | 500  | 2.7400          |
  | 1.9296        | 0.69  | 1000 | 1.4055          |
  | 1.3583        | 1.04  | 1500 | 1.1407          |
  | 1.1119        | 1.38  | 2000 | 1.0246          |
  | 1.017         | 1.73  | 2500 | 0.9231          |
  | 0.8637        | 2.07  | 3000 | 0.9507          |
  | 0.6573        | 2.42  | 3500 | 0.9678          |
  | 0.6916        | 2.76  | 4000 | 0.9250          |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  