readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: opus-mt-ar-en-finetunedTanzil-v5-ar-to-en
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information Keras had access to. You should
  probably proofread and complete it, then remove this comment. -->
  
  # opus-mt-ar-en-finetunedTanzil-v5-ar-to-en
  
  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:
  - Train Loss: 0.8101
  - Validation Loss: 0.9477
  - Train Bleu: 9.3241
  - Train Gen Len: 88.73
  - Train Rouge1: 56.4906
  - Train Rouge2: 34.2668
  - Train Rougel: 53.2279
  - Train Rougelsum: 53.7836
  - Epoch: 2
  
  ## 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:
  - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Train Bleu | Train Gen Len | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Epoch |
  |:----------:|:---------------:|:----------:|:-------------:|:------------:|:------------:|:------------:|:---------------:|:-----:|
  | 0.8735     | 0.9809          | 11.0863    | 78.68         | 56.4557      | 33.3673      | 53.4828      | 54.1197         | 0     |
  | 0.8408     | 0.9647          | 9.8543     | 88.955        | 57.3797      | 34.3539      | 53.8783      | 54.3714         | 1     |
  | 0.8101     | 0.9477          | 9.3241     | 88.73         | 56.4906      | 34.2668      | 53.2279      | 53.7836         | 2     |
  
  
  ### Framework versions
  
  - Transformers 4.17.0.dev0
  - TensorFlow 2.7.0
  - Datasets 1.18.4.dev0
  - Tokenizers 0.10.3
  