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