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Oyunbat26/mongolian-en-mn-translator

sourceHugging Facecc-by-nc-4.0updated 2mo agoView on Hugging Face

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Model Card

EN-MN Human Rights Translator

Fine-tune of facebook/nllb-200-distilled-600M for English-to-Mongolian translation, specialized on human rights terminology.

—Source language code: eng_Latn
—Target language code: khk_Cyrl (NLLB/FLORES-200 code for Halh Mongolian; note this is not mon_Cyrl, which does not exist in NLLB's vocabulary)

Training data

~4,000 professionally translated EN-MN sentence pairs from human rights reports and legal documents, deduplicated and split 80/10/10 into train/val/test.

Test set results

Metric	Score
BLEU (sacrebleu)	17.56
chrF	47.39

Usage

python

from transformers import AutoModelForSeq2SeqLM
from transformers.models.nllb.tokenization_nllb import NllbTokenizer

model_id = "Oyunbat26/mongolian-en-mn-translator"
tokenizer = NllbTokenizer.from_pretrained(model_id, src_lang="eng_Latn", tgt_lang="khk_Cyrl")
model = AutoModelForSeq2SeqLM.from_pretrained(model_id)
model.generation_config.forced_bos_token_id = tokenizer.convert_tokens_to_ids("khk_Cyrl")

inputs = tokenizer("Human rights are universal.", return_tensors="pt")
output = model.generate(**inputs, max_length=128, num_beams=4)
print(tokenizer.batch_decode(output, skip_special_tokens=True)[0])