metadata
language:
- en
- vi
tags:
- translation
- opus-mt
- marian
- novel
- literature
license: apache-2.0
datasets:
- custom-novel-parallel-corpus
metrics:
- bleu
- chrf
model-index:
- name: opus-mt-en-vi-novel-finetuned
results:
- task:
type: translation
name: EN to VI Novel Translation
dataset:
name: Custom novel EN-VI parallel validation set (17,272 samples)
type: novel-literature
metrics:
- type: bleu
value: 29.29
name: BLEU
- type: chrf
value: 49.13
name: ChrF++
opus-mt-en-vi-novel-finetuned
Fine-tuned English → Vietnamese translation model optimized for novels, literature, and narrative text.
Fine-tuned from Helsinki-NLP/opus-mt-en-vi (MarianMT) for 1 epoch on ~328K parallel EN-VI novel sentence pairs.
Results Summary
Full Validation Set (17,272 samples)
| Model | BLEU | ChrF++ |
|---|---|---|
| Fine-tuned | 29.29 | 49.13 |
| Baseline (Helsinki-NLP/opus-mt-en-vi) | 3.73 | 20.87 |
Improvement over baseline
- BLEU: 8.2x (3.53 → 29.01 on sanity set)
- ChrF++: 2.4x (20.50 → 49.07 on sanity set)
Usage
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
model = AutoModelForSeq2SeqLM.from_pretrained("richardadam/opus-mt-en-vi-novel-finetuned")
tokenizer = AutoTokenizer.from_pretrained("richardadam/opus-mt-en-vi-novel-finetuned")
text = "He looked at the door but did not dare to open it."
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=256, num_beams=4)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
# Hắn nhìn cánh cửa, nhưng không dám mở ra.
Training
- Base: Helsinki-NLP/opus-mt-en-vi
- Epochs: 1
- Batch size: 16
- GPU: NVIDIA L4 (22.5 GB)
- Runtime: ~3h15m
Limitations
- Single-epoch fine-tune — may benefit from more training
- Novel domain only — may underperform on technical/formal text
- Baseline model performs very poorly on novels (BLEU 3.53), confirming domain-specific fine-tuning is essential
Citation
@misc{opus-mt-en-vi-novel-finetuned,
author = {richardadam},
title = {opus-mt-en-vi-novel-finetuned},
year = 2026,
publisher = {Hugging Face},
howpublished = {huggingface.co/richardadam/opus-mt-en-vi-novel-finetuned},
}