readme: ---
  license: apache-2.0
  language:
  - en
  - tok
  tags:
  - generated_from_trainer
  - translation
  model-index:
  - name: en-toki-mt
    results: []
  widget:
  - text: "Hello, my name is Tom."
  - text: "Can the cat speak English?"
  ---
  
  # en-toki-mt
  
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ROMANCE](https://huggingface.co/Helsinki-NLP/opus-mt-en-ROMANCE) on the English - toki pona translation  dataset on Tatoeba.
  
  ## Model description
  
  toki pona is a minimalist constructed language created in 2014 by Sonja Lang. The language features a very small volcabulary (~130 words) and a very simple grammar structure. 
  
  ## Intended uses & limitations
  
  This model aims to translate English to Toki pona.
  
  ## Training and evaluation data
  
  The training data is acquired from all En-Toki sentence pairs on [Tatoeba](https://tatoeba.org/en) (~20000 pairs), without any filtering. Since this dataset mostly only includes core words (pu), it may produce inaccurate results when encountering more complex words. The model achieved a BLEU score of 54 on the testing set.
  
  ## 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: 10
  - mixed_precision_training: Native AMP
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  