readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: mBART_translator_json_all_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_all_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: 0.1595
  - Bleu: 76.137
  - Gen Len: 11.966
  
  ## 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: 5e-05
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | 1.914         | 1.0   | 2908 | 0.7158          | 26.1202 | 44.2761 |
  | 0.948         | 2.0   | 5816 | 0.3113          | 74.3952 | 12.4625 |
  | 0.5552        | 3.0   | 8724 | 0.1595          | 76.137  | 11.966  |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.12.0
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  