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: 1.7768
  - 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: 0.0003
  - 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   |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 2.5511        | 0.31  | 500  | 5.1039          | 0.0    |
  | 2.2033        | 0.62  | 1000 | 4.1782          | 0.0000 |
  | 1.4703        | 0.93  | 1500 | 2.8979          | 0.0000 |
  | 1.6507        | 1.23  | 2000 | 2.2250          | 0.0000 |
  | 1.6791        | 1.54  | 2500 | 2.0530          | 0.0000 |
  | 1.4587        | 1.85  | 3000 | 1.9121          | 0.0000 |
  | 1.288         | 2.16  | 3500 | 1.8705          | 0.0000 |
  | 1.2244        | 2.47  | 4000 | 1.7940          | 0.0000 |
  | 1.0364        | 2.78  | 4500 | 1.7768          | 0.0000 |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.10.2+cu113
  - Datasets 2.1.1.dev0
  - Tokenizers 0.11.0
  