metadata

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 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 (~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