readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: kobert-lm-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-lm-finetuned-klue-v2
  
  This model is a fine-tuned version of [monologg/kobert-lm](https://huggingface.co/monologg/kobert-lm) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.9679
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 5.7641        | 0.52  | 500  | 5.6079          |
  | 5.5176        | 1.04  | 1000 | 5.4635          |
  | 5.4401        | 1.57  | 1500 | 5.3370          |
  | 5.2919        | 2.09  | 2000 | 5.2396          |
  | 5.1756        | 2.61  | 2500 | 5.2675          |
  | 5.0793        | 3.13  | 3000 | 5.1546          |
  | 4.8933        | 3.66  | 3500 | 5.0728          |
  | 4.7273        | 4.18  | 4000 | 5.0165          |
  | 4.5473        | 4.7   | 4500 | 4.9679          |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  