m2m100_418M-eng-yor-mt Open-source Machine Translation Model - Free English to Yoruba Text Translation

M2m100 418M Eng Yor Mt

Developed by Davlan

A machine translation model fine-tuned based on facebook/m2m100_418M, achieving strong baseline performance for English to Yoruba text translation

Machine Translation

Transformers

#English-Yoruba machine translation #Low-resource language optimization #Bilingual dataset fine-tuning

Downloads 342

Release Time : 3/2/2022

Model Overview

This model is the result of fine-tuning facebook/m2m100_418M on the JW300 Yoruba corpus and Menyo-20k bilingual dataset, focusing on the machine translation task from English to Yoruba

Model Features

Bilingual translation capability

Specifically optimized for English to Yoruba translation tasks

High-quality fine-tuning

Fine-tuned on JW300 and Menyo-20k datasets to improve translation quality

Strong baseline performance

Achieved a BLEU score of 13.39 on the Menyo-20k test set, outperforming the mt5-base model

Model Capabilities

English to Yoruba text translation

Bilingual machine translation

Use Cases

Language services

Document translation

Translate English documents into Yoruba

Translation results with maintained semantic accuracy

Cross-language communication

Facilitate communication between English and Yoruba speakers

Provide fast and accurate translation support

Education

Language learning tool

Serve as an auxiliary tool for English and Yoruba learners

Help learners understand the correspondence between the two languages

🚀 m2m100_418M-eng-yor-mt

m2m100_418M-eng-yor-mt is a machine translation model designed to translate English texts into Yorùbá. It's based on a fine - tuned facebook/m2m100_418M model, setting a strong baseline for English - Yorùbá automatic text translation.

🚀 Quick Start

This section will be updated with quick - start instructions if available.

✨ Features

Language Support: Supports translation between English (en) and Yorùbá (yo).
Dataset Utilization: Fine - tuned on JW300 Yorùbá corpus and Menyo - 20k dataset.

📦 Installation

No installation steps were provided in the original document.

💻 Usage Examples

No code examples were provided in the original document.

📚 Documentation

Model Description

m2m100_418M-eng-yor-mt is a machine translation model for English to Yorùbá, based on a fine - tuned facebook/m2m100_418M model. It sets a strong baseline for automatic English - Yorùbá text translation.

Specifically, this model is a fine - tuned facebook/m2m100_418M on the JW300 Yorùbá corpus and Menyo - 20k.

Limitations and Bias

This model is limited by its training dataset and may not perform well across all use cases in different domains.

Training Data

This model was fine - tuned on the JW300 corpus and the Menyo - 20k dataset.

Training Procedure

This model was trained on an NVIDIA V100 GPU.

Eval Results on Test set (BLEU score)

Fine - tuning m2m100_418M achieves 13.39 BLEU on the Menyo - 20k test set, while mt5 - base achieves 9.82.

BibTeX entry and citation info

By David Adelani

🔧 Technical Details

The model is a fine - tuned version of the facebook/m2m100_418M model. It was trained on an NVIDIA V100 GPU using the JW300 corpus and the Menyo - 20k dataset. The fine - tuning process aimed to optimize the model for English - Yorùbá translation.

📄 License

No license information was provided in the original document.

📦 Information Table

Property	Details
Model Type	Machine translation model for English to Yorùbá based on fine - tuned facebook/m2m100_418M
Training Data	JW300 corpus and Menyo - 20k dataset

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