readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: opus-mt-ko-en-finetuned-ko-to-en3
    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-en3
  
  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: 2.1864
  - Bleu: 0.7037
  - Gen Len: 11.0
  
  ## 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: 0.001
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 256
  - total_train_batch_size: 2048
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
  | No log        | 0.99  | 119  | 4.4541          | 0.0    | 5.0     |
  | No log        | 1.99  | 238  | 2.4214          | 0.3414 | 16.0    |
  | No log        | 2.99  | 357  | 2.2158          | 0.3212 | 15.0    |
  | No log        | 3.99  | 476  | 2.1737          | 0.3283 | 12.0    |
  | 3.2958        | 4.99  | 595  | 2.1864          | 0.7037 | 11.0    |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  