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--- |
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license: apache-2.0 |
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language: |
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- en |
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- tok |
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tags: |
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- generated_from_trainer |
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- translation |
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model-index: |
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- name: en-toki-mt |
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results: [] |
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widget: |
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- text: "Hello, my name is Tom." |
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- text: "Can the cat speak English?" |
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--- |
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# en-toki-mt |
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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. |
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## Model description |
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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. |
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## Intended uses & limitations |
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This model aims to translate English to Toki pona. |
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## Training and evaluation data |
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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. |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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