readme: ---
  license: cc-by-nc-sa-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: gpt_16_4_3e-5_lp5_nb5
    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. -->
  
  # gpt_16_4_3e-5_lp5_nb5
  
  This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.8872
  
  ## 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: 3e-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
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 4.0
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.311         | 0.38  | 1000  | 4.0339          |
  | 3.1133        | 0.76  | 2000  | 3.9777          |
  | 2.9875        | 1.13  | 3000  | 3.9546          |
  | 2.8697        | 1.51  | 4000  | 3.9269          |
  | 2.8669        | 1.89  | 5000  | 3.9159          |
  | 2.7308        | 2.27  | 6000  | 3.9066          |
  | 2.709         | 2.64  | 7000  | 3.8995          |
  | 2.6979        | 3.02  | 8000  | 3.8976          |
  | 2.5878        | 3.4   | 9000  | 3.8978          |
  | 2.5824        | 3.78  | 10000 | 3.8872          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.9.0+cu102
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  