readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: mbart
    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. -->
  
  # mbart
  
  This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.5342
  - Validation Loss: 0.5633
  - Epoch: 35
  
  ## 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': 'SGD', 'learning_rate': 0.01, 'decay': 0.0, 'momentum': 0.9, 'nesterov': False}
  - training_precision: mixed_bfloat16
  
  ### Training results
  
  | Train Loss | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 4.5626     | 3.7843          | 0     |
  | 2.5836     | 1.9212          | 1     |
  | 1.6546     | 1.2552          | 2     |
  | 1.2499     | 1.0248          | 3     |
  | 1.0088     | 0.8457          | 4     |
  | 0.9100     | 0.7958          | 5     |
  | 0.8290     | 0.8421          | 6     |
  | 0.7999     | 0.7625          | 7     |
  | 0.7633     | 0.7202          | 8     |
  | 0.7439     | 0.7100          | 9     |
  | 0.7182     | 0.6787          | 10    |
  | 0.7092     | 0.6877          | 11    |
  | 0.6823     | 0.6684          | 12    |
  | 0.6738     | 0.6712          | 13    |
  | 0.6603     | 0.6858          | 14    |
  | 0.6462     | 0.6268          | 15    |
  | 0.6373     | 0.6208          | 16    |
  | 0.6424     | 0.6735          | 17    |
  | 0.6259     | 0.6423          | 18    |
  | 0.6249     | 0.6069          | 19    |
  | 0.6148     | 0.6510          | 20    |
  | 0.6063     | 0.6207          | 21    |
  | 0.5987     | 0.5977          | 22    |
  | 0.5917     | 0.6019          | 23    |
  | 0.5800     | 0.5828          | 24    |
  | 0.5779     | 0.5505          | 25    |
  | 0.5765     | 0.5887          | 26    |
  | 0.5667     | 0.5989          | 27    |
  | 0.5623     | 0.5859          | 28    |
  | 0.5564     | 0.5907          | 29    |
  | 0.5523     | 0.5928          | 30    |
  | 0.5478     | 0.5624          | 31    |
  | 0.5472     | 0.5563          | 32    |
  | 0.5462     | 0.5953          | 33    |
  | 0.5324     | 0.5593          | 34    |
  | 0.5342     | 0.5633          | 35    |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - TensorFlow 2.8.0
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  