readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: mBART_translator_kobart_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_kobart_2
  
  This model is a fine-tuned version of [hyunwoongko/kobart](https://huggingface.co/hyunwoongko/kobart) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0971
  - Bleu: 34.7406
  - Gen Len: 19.863
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
  | 0.7514        | 1.0   | 1912  | 0.3009          | 33.1304 | 19.8465 |
  | 0.4925        | 2.0   | 3824  | 0.2213          | 33.7817 | 19.8541 |
  | 0.3893        | 3.0   | 5736  | 0.1789          | 34.1249 | 19.8577 |
  | 0.3328        | 4.0   | 7648  | 0.1555          | 34.3074 | 19.8598 |
  | 0.2896        | 5.0   | 9560  | 0.1375          | 34.4127 | 19.8585 |
  | 0.2614        | 6.0   | 11472 | 0.1240          | 34.5061 | 19.8604 |
  | 0.2292        | 7.0   | 13384 | 0.1116          | 34.6476 | 19.8632 |
  | 0.2098        | 8.0   | 15296 | 0.1050          | 34.6956 | 19.863  |
  | 0.1967        | 9.0   | 17208 | 0.0995          | 34.7304 | 19.863  |
  | 0.1812        | 10.0  | 19120 | 0.0971          | 34.7406 | 19.863  |
  
  
  ### Framework versions
  
  - Transformers 4.23.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.13.1
  