readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: ko-jeolla-nmt-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. -->
  
  # ko-jeolla-nmt-v2
  
  This model is a fine-tuned version of [leadawon/ko-jeolla-nmt-v1](https://huggingface.co/leadawon/ko-jeolla-nmt-v1) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2911
  
  ## 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: 24
  - eval_batch_size: 24
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 96
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 1
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 0.2926        | 0.17  | 500  | 0.3283          |
  | 0.3111        | 0.33  | 1000 | 0.3344          |
  | 0.3009        | 0.5   | 1500 | 0.3138          |
  | 0.2868        | 0.66  | 2000 | 0.3030          |
  | 0.2653        | 0.83  | 2500 | 0.2969          |
  | 0.2493        | 0.99  | 3000 | 0.2911          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Tokenizers 0.13.2
  