readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: kobigbird-bert-base-finetuned-klue-v2_epoch64
    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_epoch64
  
  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: 0.8139
  
  ## 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: 1e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.5026        | 0.55  | 500  | 1.3754          |
  | 0.9551        | 1.1   | 1000 | 0.9633          |
  | 0.8           | 1.64  | 1500 | 0.8191          |
  | 0.6182        | 2.19  | 2000 | 0.7808          |
  | 0.5731        | 2.74  | 2500 | 0.7482          |
  | 0.3699        | 3.29  | 3000 | 0.8175          |
  | 0.3634        | 3.84  | 3500 | 0.8139          |
  
  
  ### Framework versions
  
  - Transformers 4.23.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.13.1
  