pytorch marian text2text-generation en tok transformers generated_from_trainer translation license:apache-2.0 model-index autotrain_compatible
---
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
