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En To Dzo Nllb Mul Mt Nlp M4
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En To Dzo Nllb Mul Mt Nlp M4

Developed by Zeref02210217-cst
This model is a fine-tuned English to Dzongkha translation model based on facebook/nllb-200-distilled-600M
Machine Translation
Transformers
#English-Dzongkha Translation#Multilingual Machine Translation#Low-Resource Language Optimization
Downloads 22
Release Time : 1/7/2025

Model Overview

An English to Dzongkha machine translation model based on the NLLB-200 distilled model, focusing on high-quality text translation tasks

Model Features

High-Quality Translation
Achieves a BLEU score of 19.2 on the evaluation set, indicating good translation quality
NLLB-Based Architecture
Uses Facebook's NLLB-200 distilled model as the foundation, with strong multilingual capabilities
Optimized Training
Fine-tuned over 9 epochs, reducing training loss from 2.2141 to 0.8253

Model Capabilities

English to Dzongkha text translation
Semantic-preserving translation
Handling medium-length texts (average generation length of 15-16 words)

Use Cases

Language Services
Document Translation
Translate English documents into Dzongkha
Achieves fluent translation while preserving original semantics
Cultural Exchange
Facilitates cultural content exchange between English and Dzongkha
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