readme: ---
  license: apache-2.0
  tags:
  - translation
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: En-Af_update
    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-Af_update
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-af](https://huggingface.co/Helsinki-NLP/opus-mt-en-af) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.8089
  - Bleu: 45.1780
  
  ## 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: 16
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu    |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|
  | 1.4243        | 1.0   | 2553  | 1.8451          | 42.1314 |
  | 1.0987        | 2.0   | 5106  | 1.7509          | 44.0714 |
  | 0.9329        | 3.0   | 7659  | 1.7340          | 44.6003 |
  | 0.8365        | 4.0   | 10212 | 1.7260          | 44.7820 |
  | 0.7556        | 5.0   | 12765 | 1.7590          | 45.1180 |
  | 0.6944        | 6.0   | 15318 | 1.7715          | 45.1451 |
  | 0.652         | 7.0   | 17871 | 1.7696          | 45.1025 |
  | 0.6132        | 8.0   | 20424 | 1.8060          | 45.1781 |
  | 0.5832        | 9.0   | 22977 | 1.8135          | 45.2485 |
  | 0.5602        | 10.0  | 25530 | 1.8089          | 45.1730 |
  
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  