readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: m2m100_418M-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. -->
  
  # m2m100_418M-finetuned-ko-to-en3
  
  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: 0.5175
  - Bleu: 75.215
  - Gen Len: 9.726
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - gradient_accumulation_steps: 256
  - total_train_batch_size: 1024
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | No log        | 0.99  | 103  | 2.7756          | 8.9955  | 9.425   |
  | No log        | 1.99  | 206  | 0.7248          | 63.7645 | 9.6421  |
  | No log        | 2.99  | 309  | 0.5175          | 75.215  | 9.726   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  