readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - wmt14
  model-index:
  - name: opus-mt-de-en-finetuned-de-to-en
    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. -->
  
  # opus-mt-de-en-finetuned-de-to-en
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-NLP/opus-mt-de-en) on the wmt14 dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 1.3411
  - eval_bleu: 32.4395
  - eval_gen_len: 29.6925
  - eval_runtime: 2250.0489
  - eval_samples_per_second: 19.998
  - eval_steps_per_second: 0.625
  - epoch: 3.0
  - step: 4221
  
  ## 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-06
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 11
  - mixed_precision_training: Native AMP
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.7.1+cu110
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  