readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - xtreme_s
  metrics:
  - bleu
  model-index:
  - name: ''
    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. -->
  
  # 
  
  This model was trained from scratch on the xtreme_s dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.1356
  - Bleu: 0.0000
  
  ## 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: 3e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 128
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 3.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu   |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 2.6458        | 0.31  | 500  | 4.3754          | 0.0    |
  | 2.3505        | 0.62  | 1000 | 4.3071          | 0.0    |
  | 2.2152        | 0.93  | 1500 | 3.9444          | 0.0    |
  | 2.79          | 1.23  | 2000 | 3.2046          | 0.0000 |
  | 2.569         | 1.54  | 2500 | 2.6812          | 0.0000 |
  | 2.322         | 1.85  | 3000 | 2.4081          | 0.0000 |
  | 2.3435        | 2.16  | 3500 | 2.2696          | 0.0000 |
  | 2.2063        | 2.47  | 4000 | 2.2452          | 0.0000 |
  | 2.1087        | 2.78  | 4500 | 2.1356          | 0.0000 |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.10.2+cu113
  - Datasets 2.1.1.dev0
  - Tokenizers 0.11.0
  