agentlans / en-zhtw

en-zhtw

English-to-Traditional Chinese sentence translator

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-zh on the zetavg/coct-en-zh-tw-translations-twp-300k dataset.

This is so it can output Traditional Chinese by default and make the translations more natural sounding.

Model description

• input: English text only
• output: Traditional Chinese text translation

How to use:

from transformers import pipeline

model_checkpoint = "agentlans/en-zhtw"
translator = pipeline("translation", model=model_checkpoint)

translator(
    [
        "Even if you spend a day in Windsor you'll notice that it's a very multicultural city, yet still retaining a small town feel.",
        "Its main waterfront park stretches about 5 km (3.1 mi), from the 1929 Ambassador suspension bridge past the contemporary Windsor Sculpture Park.",
    ]
)

# [{'translation_text': '儘管在風沙住了一天,都會發現這裡是個非常多樣化的城市,但還是保留了一個小鎮的感覺。'}, {'translation_text': '從 1929 年的大使吊橋到今天的風雕公園,總長約 5 公里。'}]

Intended uses & limitations

• English to Traditional Chinese translation
• Single sentence
• Limitations: may hallucinate or omit information, doesn't understand context, can still sound awkward or strange (as the above example shows)

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Framework versions

• Transformers 4.43.3
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1