readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: kobert-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. -->
  
  # kobert-finetuned-klue-v2
  
  This model is a fine-tuned version of [monologg/kobert](https://huggingface.co/monologg/kobert) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.3234
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 5.5898        | 1.08  | 500  | 5.2618          |
  | 5.217         | 2.16  | 1000 | 5.1505          |
  | 5.1044        | 3.24  | 1500 | 5.0895          |
  | 5.0048        | 4.32  | 2000 | 5.0649          |
  | 4.8292        | 5.4   | 2500 | 4.9589          |
  | 4.5451        | 6.48  | 3000 | 4.8549          |
  | 4.2284        | 7.56  | 3500 | 4.8801          |
  | 3.9195        | 8.64  | 4000 | 4.8797          |
  | 3.6506        | 9.72  | 4500 | 4.8009          |
  | 3.4175        | 10.8  | 5000 | 4.8996          |
  | 3.1964        | 11.88 | 5500 | 4.9734          |
  | 3.0401        | 12.96 | 6000 | 4.9378          |
  | 2.8965        | 14.04 | 6500 | 5.3631          |
  | 2.7672        | 15.12 | 7000 | 5.3234          |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  