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README.md CHANGED
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model: Helsinki-NLP/opus-mt-en-zh
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - zetavg/coct-en-zh-tw-translations-twp-300k
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+ model-index:
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+ - name: en-zhtw
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+ results: []
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+ ---
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+
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+ # en-zhtw
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+
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+ English-to-Traditional Chinese sentence translator
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh) on the [zetavg/coct-en-zh-tw-translations-twp-300k](https://huggingface.co/datasets/zetavg/coct-en-zh-tw-translations-twp-300k) dataset.
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+
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+ This is so it can output Traditional Chinese by default and make the translations more natural sounding.
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+
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+ ## Model description
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+
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+ - input: English text only
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+ - output: Traditional Chinese text translation
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+
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+ How to use:
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+
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+ ```python
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+ from transformers import pipeline
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+
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+ model_checkpoint = "agentlans/en-zhtw"
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+ translator = pipeline("translation", model=model_checkpoint)
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+
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+ 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."])
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+
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+ # [{'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。'}]
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+ ```
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+
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+ ## Intended uses & limitations
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+
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+ - English to Traditional Chinese translation
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+ - Single sentence
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+ - Limitations: may hallucinate or omit information, doesn't understand context, can still sound awkward or strange (as the above example shows)
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 3.0
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.3
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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