readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: opus-mt-ar-en-finetuned-src-to-trg-testing
    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. -->
  
  # opus-mt-ar-en-finetuned-src-to-trg-testing
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.3973
  - Bleu: 0.1939
  - Gen Len: 37.6364
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  - mixed_precision_training: Apex, opt level O1
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
  | No log        | 1.0   | 5    | 3.4353          | 0.1994 | 36.6364 |
  | No log        | 2.0   | 10   | 3.4015          | 0.1994 | 36.0909 |
  | No log        | 3.0   | 15   | 3.3973          | 0.1939 | 37.6364 |
  
  
  ### Framework versions
  
  - Transformers 4.14.1
  - Pytorch 1.5.0
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  