readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: mBART_skr-en_longerrun
    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_skr-en_longerrun
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4577
  - Bleu: 30.8071
  - Gen Len: 34.548
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | 0.5444        | 0.72  | 500  | 1.3416          | 28.7505 | 34.228  |
  | 0.8576        | 1.45  | 1000 | 1.3411          | 30.1776 | 34.328  |
  | 0.6422        | 2.18  | 1500 | 1.3882          | 30.2815 | 34.164  |
  | 0.532         | 2.9   | 2000 | 1.3716          | 30.8947 | 34.556  |
  | 0.4473        | 3.63  | 2500 | 1.4577          | 30.8071 | 34.548  |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  