readme: ---
  license: mit
  
  language:
  - de
  - en
  
  tags:
  - translation
  - pytorch
  
  datasets:
  - multi30k
  
  metrics:
  - bleu
  
  model-index:
  - name: multi30k
    results:
    - task:
        type: translation
      dataset:
        type: multi30k
        name: multi30k-de-en
      metrics:
        - type: bleu
          value: 33.468
          name: Test BLEU
          args: n_gram=4
  ---
  
  # Seq2seq + Attention
  
  Pytorch implementation of [Neural Machine Translation by Jointly Learning to Align and Translate](https://arxiv.org/abs/1409.0473). Trained on the [Multi30k-de-en](http://www.statmt.org/wmt16/multimodal-task.html#task1) dataset with sentencepiece as the tokenizer.    
  
  Here's the attention heatmap of a random sample from the test set:
  
  ![attention-heatmap](attention-heatmap.png)
  