readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: mBART_translator_json_2
    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. -->
  
  # mBART_translator_json_2
  
  This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1203
  - Bleu: 77.8658
  - Gen Len: 36.1527
  
  ## 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: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
  | 1.7858        | 1.0   | 1912  | 0.6568          | 55.2937 | 75.6389 |
  | 0.994         | 2.0   | 3824  | 0.4015          | 71.3655 | 35.744  |
  | 0.7267        | 3.0   | 5736  | 0.2971          | 66.7522 | 34.5473 |
  | 0.5916        | 4.0   | 7648  | 0.2437          | 80.0233 | 37.4331 |
  | 0.502         | 5.0   | 9560  | 0.2072          | 80.9632 | 36.9833 |
  | 0.433         | 6.0   | 11472 | 0.1767          | 69.9384 | 36.6381 |
  | 0.3581        | 7.0   | 13384 | 0.1566          | 64.615  | 34.8954 |
  | 0.3244        | 8.0   | 15296 | 0.1382          | 77.5563 | 36.1736 |
  | 0.2815        | 9.0   | 17208 | 0.1259          | 76.1662 | 36.1548 |
  | 0.2555        | 10.0  | 19120 | 0.1203          | 77.8658 | 36.1527 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.13.1
  