readme: ---
  license: apache-2.0
  tags:
  - translation
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: En-Nso_update3
    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-Nso_update3
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-nso](https://huggingface.co/Helsinki-NLP/opus-mt-en-nso) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4218
  - Bleu: 24.5765
  
  ## 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: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu    |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 3.6568        | 1.0   | 867   | 3.0185          | 18.4004 |
  | 2.7574        | 2.0   | 1734  | 2.7774          | 20.3167 |
  | 2.4522        | 3.0   | 2601  | 2.6436          | 22.1868 |
  | 2.3298        | 4.0   | 3468  | 2.5732          | 22.6221 |
  | 2.1563        | 5.0   | 4335  | 2.5225          | 22.6937 |
  | 2.0177        | 6.0   | 5202  | 2.4917          | 23.2204 |
  | 1.9407        | 7.0   | 6069  | 2.4656          | 23.3616 |
  | 1.8758        | 8.0   | 6936  | 2.4509          | 23.5496 |
  | 1.8167        | 9.0   | 7803  | 2.4426          | 23.6263 |
  | 1.7566        | 10.0  | 8670  | 2.4345          | 24.0730 |
  | 1.7254        | 11.0  | 9537  | 2.4281          | 24.1627 |
  | 1.7088        | 12.0  | 10404 | 2.4252          | 24.1109 |
  | 1.6731        | 13.0  | 11271 | 2.4226          | 24.1018 |
  | 1.6574        | 14.0  | 12138 | 2.4211          | 23.9186 |
  | 1.6481        | 15.0  | 13005 | 2.4218          | 24.1323 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  