readme: ---
  license: apache-2.0
  tags:
  - translation
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: En-Nso_update2
    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_update2
  
  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: 2.4199
  - Bleu: 24.4776
  
  ## 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    |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 3.6661        | 1.0   | 865   | 3.0081          | 17.6871 |
  | 2.7495        | 2.0   | 1730  | 2.7725          | 20.1475 |
  | 2.4533        | 3.0   | 2595  | 2.6433          | 22.5433 |
  | 2.3203        | 4.0   | 3460  | 2.5625          | 22.9963 |
  | 2.1356        | 5.0   | 4325  | 2.5190          | 23.5696 |
  | 2.0258        | 6.0   | 5190  | 2.4881          | 23.8367 |
  | 1.9481        | 7.0   | 6055  | 2.4641          | 24.0611 |
  | 1.8769        | 8.0   | 6920  | 2.4526          | 24.3214 |
  | 1.8211        | 9.0   | 7785  | 2.4392          | 24.5300 |
  | 1.7689        | 10.0  | 8650  | 2.4307          | 24.4627 |
  | 1.7314        | 11.0  | 9515  | 2.4254          | 24.4936 |
  | 1.7           | 12.0  | 10380 | 2.4243          | 24.4673 |
  | 1.6695        | 13.0  | 11245 | 2.4202          | 24.5613 |
  | 1.6562        | 14.0  | 12110 | 2.4200          | 24.4886 |
  | 1.6446        | 15.0  | 12975 | 2.4199          | 24.4711 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  