readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - wmt16
  metrics:
  - bleu
  model-index:
  - name: opus-mt-de-en-finetuned-de-to-en-second
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: wmt16
        type: wmt16
        args: de-en
      metrics:
      - name: Bleu
        type: bleu
        value: 38.959
  ---
  
  <!-- 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-second
  
  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 wmt16 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1719
  - Bleu: 38.959
  - Gen Len: 25.2812
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | No log        | 1.0   | 157  | 1.1492          | 39.2552 | 25.2268 |
  | No log        | 2.0   | 314  | 1.1601          | 38.8343 | 25.2288 |
  | No log        | 3.0   | 471  | 1.1651          | 39.0092 | 25.254  |
  | 1.8512        | 4.0   | 628  | 1.1704          | 38.9281 | 25.2756 |
  | 1.8512        | 5.0   | 785  | 1.1719          | 38.959  | 25.2812 |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.10.0+cu111
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  