readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: opus-mt-ar-en-finetunedTanzil-v7-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-v7-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: 0.1919
  - Validation Loss: 0.5047
  - Train Rouge1: 49.6877
  - Train Rouge2: 25.9574
  - Train Rougel: 45.2590
  - Train Rougelsum: 45.7464
  - Train Gen Len: 85.57
  - Epoch: 4
  
  ## 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 Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
  |:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
  | 0.1959     | 0.5105          | 48.2182      | 23.4978      | 44.1127      | 44.6422         | 87.45         | 0     |
  | 0.1950     | 0.5114          | 49.5777      | 25.1663      | 45.7183      | 46.0930         | 86.72         | 1     |
  | 0.1937     | 0.5074          | 49.1793      | 24.1899      | 45.3374      | 45.5902         | 84.805        | 2     |
  | 0.1929     | 0.5075          | 49.1553      | 24.8199      | 44.7342      | 45.1392         | 87.495        | 3     |
  | 0.1919     | 0.5047          | 49.6877      | 25.9574      | 45.2590      | 45.7464         | 85.57         | 4     |
  
  
  ### Framework versions
  
  - Transformers 4.17.0.dev0
  - TensorFlow 2.7.0
  - Datasets 1.18.4.dev0
  - Tokenizers 0.10.3
  