This model is a fine-tuned sequence-to-sequence model based on google/mt5-small for Chinese-to-English translation of Wuxia and Xianxia literature. It was developed as part of the Bachelor's Thesis (TFG):

"Enfoques de traducción automática con modelos de lenguaje en obras wuxia" (Degree in Data Science and Engineering, Universidade da Coruña)

Model Details

Base Model: google/mt5-small
Training Method: Full architectural fine-tuning
Training Dataset: HSilvosa/hsc-wuxia-100k (100,000 stratified parallel sentence pairs)
Target Domain: Wuxia/Xianxia web novels

Intended Use

This model can be used directly for Chinese-to-English translation of literary text in the Wuxia domain.

Quick Start (Inference)

python

from transformers import MT5ForConditionalGeneration, T5Tokenizer

model_name = "HSilvosa/hsc-wuxia-mt5-small"
model = MT5ForConditionalGeneration.from_pretrained(model_name)
tokenizer = T5Tokenizer.from_pretrained(model_name)

text = "translate Chinese to English: 一念成沧海，一念化桑田。"
inputs = tokenizer(text, return_tensors="pt")
generated_tokens = model.generate(**inputs, max_new_tokens=128)
print(tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0])

Evaluation Results

The model was evaluated on the Wuxia parallel test set, comparing the base model and the fine-tuned version:

Metric	Base Model (`mt5-small`)	Fine-tuned Model (`hsc-wuxia-mt5-small`)	Delta (Improvement)
SacreBLEU	0.00	16.98	+16.98
chrF	1.25	39.41	+38.16
ROUGE-L	0.00	46.33	+46.33
METEOR	0.00	43.93	+43.93
COMET	0.00	68.92	+68.92

Training Hyperparameters

The model was fine-tuned using the following architectural training parameters:

Optimizer: AdamW
Learning Rate: 2e-5 (0.00002)
Weight Decay: 0.01
Epochs: Max 10 (with early stopping patience of 3 epochs based on validation loss)
Batch Size: 16 (per device/GPU)
Max Sequence Length: 128 tokens
Seed: 42

Project Repository

This model and the associated training/evaluation pipelines were developed in the following project repository:

GitHub Repository: HugoSilvosa/hsc-mtl-wuxia

hsilvosa/hsc-wuxia-mt5-small

HSC Wuxia mT5 Small Model