readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: mBART_translator_json_sentence_split
    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_sentence_split
  
  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: 0.0769
  - Bleu: 87.2405
  - Gen Len: 27.425
  
  ## 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: 1e-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: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
  | 2.0011        | 1.0   | 2978  | 0.5458          | 63.8087 | 32.3819 |
  | 1.1978        | 2.0   | 5956  | 0.1854          | 76.5291 | 27.6781 |
  | 0.9276        | 3.0   | 8934  | 0.1123          | 84.7194 | 27.5773 |
  | 0.776         | 4.0   | 11912 | 0.0845          | 87.505  | 27.2845 |
  | 0.6889        | 5.0   | 14890 | 0.0769          | 87.2405 | 27.425  |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  