readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: mbart-large-cc25-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. -->
  
  # mbart-large-cc25-finetuned-ko-to-en
  
  This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9388
  - Bleu: 20.301
  - Gen Len: 114.7908
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - gradient_accumulation_steps: 32
  - total_train_batch_size: 64
  - 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  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|
  | 2.253         | 1.0   | 664  | 1.1693          | 20.073  | 5.8056   |
  | 1.1747        | 2.0   | 1328 | 0.9898          | 25.8761 | 7.1737   |
  | 0.8827        | 3.0   | 1992 | 0.9286          | 25.4729 | 12.5726  |
  | 0.5698        | 4.0   | 2656 | 0.9299          | 18.5817 | 33.1697  |
  | 0.4985        | 5.0   | 3320 | 0.9388          | 20.301  | 114.7908 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  