readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: ko-en-retrial
    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-en-retrial
  
  This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4075
  - Bleu: 27.1215
  - Gen Len: 10.91
  
  ## 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: 0.0003
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
  | 0.5334        | 1.0   | 16549 | 0.6745          | 14.5544 | 10.4919 |
  | 0.4841        | 2.0   | 33098 | 0.6063          | 16.5973 | 10.8128 |
  | 0.4308        | 3.0   | 49647 | 0.5447          | 19.1392 | 11.0557 |
  | 0.3674        | 4.0   | 66196 | 0.4576          | 23.6457 | 10.8632 |
  | 0.306         | 5.0   | 82745 | 0.4075          | 27.1215 | 10.91   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  