readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: mBART_translator_json_3
    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_3
  
  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: 0.2480
  - Bleu: 72.3119
  - Gen Len: 38.8266
  
  ## 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: 16
  - eval_batch_size: 16
  - 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  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|
  | No log        | 1.0   | 444  | 1.5654          | 37.2408 | 115.2556 |
  | 4.2672        | 2.0   | 888  | 0.9088          | 58.5669 | 56.1363  |
  | 1.754         | 3.0   | 1332 | 0.6627          | 56.8038 | 56.2753  |
  | 1.2023        | 4.0   | 1776 | 0.5349          | 59.8569 | 35.3384  |
  | 0.9387        | 5.0   | 2220 | 0.4390          | 66.4894 | 46.4797  |
  | 0.7839        | 6.0   | 2664 | 0.3663          | 68.8133 | 46.3215  |
  | 0.664         | 7.0   | 3108 | 0.3127          | 67.7323 | 37.8041  |
  | 0.5833        | 8.0   | 3552 | 0.2790          | 69.3004 | 38.8193  |
  | 0.5833        | 9.0   | 3996 | 0.2543          | 70.0163 | 38.4707  |
  | 0.5206        | 10.0  | 4440 | 0.2480          | 72.3119 | 38.8266  |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.13.1
  