readme: ---
  license: apache-2.0
  tags:
  - translation
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: En-Ts
    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. -->
  
  # En-Ts
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ts](https://huggingface.co/Helsinki-NLP/opus-mt-en-ts) on the None dataset.
  It achieves the following results on the evaluation set:
  
  Before training:
  - Loss: 3.17
  - Bleu: 14.513
  
  After Training
  - Loss: 1.3320
  - Bleu: 36.7687
  
  ## 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: 32
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 6
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu    |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 1.7082        | 1.0   | 5929  | 1.6902          | 32.1311 |
  | 1.4606        | 2.0   | 11858 | 1.4996          | 34.1129 |
  | 1.3182        | 3.0   | 17787 | 1.4107          | 35.7428 |
  | 1.2543        | 4.0   | 23716 | 1.3631          | 36.2009 |
  | 1.2116        | 5.0   | 29645 | 1.3389          | 36.5876 |
  | 1.1723        | 6.0   | 35574 | 1.3320          | 36.7481 |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  