readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: opus-mt-ko-en-finetuned-ko-to-en
    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. -->
  
  # opus-mt-ko-en-finetuned-ko-to-en
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ko-en](https://huggingface.co/Helsinki-NLP/opus-mt-ko-en) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.2159
  - Bleu: 43.3502
  - Gen Len: 3.5474
  
  ## 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: 2e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - gradient_accumulation_steps: 128
  - total_train_batch_size: 2048
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | No log        | 0.96  | 20   | 1.3139          | 37.8375 | 3.5612  |
  | No log        | 1.96  | 40   | 1.2849          | 40.9049 | 3.5566  |
  | No log        | 2.96  | 60   | 1.2653          | 40.3399 | 3.565   |
  | No log        | 3.96  | 80   | 1.2516          | 42.7497 | 3.5563  |
  | No log        | 4.96  | 100  | 1.2395          | 42.5064 | 3.5478  |
  | No log        | 5.96  | 120  | 1.2311          | 43.2749 | 3.5477  |
  | No log        | 6.96  | 140  | 1.2232          | 42.0691 | 3.5472  |
  | No log        | 7.96  | 160  | 1.2193          | 43.5797 | 3.5525  |
  | No log        | 8.96  | 180  | 1.2169          | 43.2313 | 3.547   |
  | No log        | 9.96  | 200  | 1.2159          | 43.3502 | 3.5474  |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  