readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: jeolla-ko-nmt-v1
    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. -->
  
  # jeolla-ko-nmt-v1
  
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1559
  
  ## 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: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.6661        | 1.0   | 3017  | 0.4137          |
  | 0.2839        | 2.0   | 6034  | 0.2249          |
  | 0.1932        | 3.0   | 9051  | 0.1815          |
  | 0.144         | 4.0   | 12068 | 0.1629          |
  | 0.1159        | 5.0   | 15085 | 0.1559          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Tokenizers 0.13.2
  