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--- |
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language: |
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- en |
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- vi |
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tags: |
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- translation |
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license: apache-2.0 |
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datasets: |
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- ALT |
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metrics: |
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- sacrebleu |
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--- |
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This is a finetuning of a MarianMT pretrained on Chinese-English. The target language pair is Vietnamese-English. |
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### Example |
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``` |
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%%capture |
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!pip install transformers transformers[sentencepiece] |
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer |
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# Download the pretrained model for English-Vietnamese available on the hub |
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model = AutoModelForSeq2SeqLM.from_pretrained("CLAck/vi-en") |
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tokenizer = AutoTokenizer.from_pretrained("CLAck/vi-en") |
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sentence = your_vietnamese_sentence |
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# This token is needed to identify the source language |
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input_sentence = "<2vi> " + sentence |
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translated = model.generate(**tokenizer(input_sentence, return_tensors="pt", padding=True)) |
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output_sentence = [tokenizer.decode(t, skip_special_tokens=True) for t in translated] |
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``` |
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### Training results |
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| Epoch | Bleu | |
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|:-----:|:-------:| |
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| 1.0 | 21.3180 | |
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| 2.0 | 26.8012 | |
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| 3.0 | 29.3578 | |
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| 4.0 | 31.5178 | |
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| 5.0 | 32.8740 | |
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