lg-opus-mt-multi-en-synthetic-v1

opus-mt-lg-en-finetuned - Version 1

Model Description

Fine-tuned Luganda-English translation model optimized for child helpline services. Trained on 42,510 child-welfare conversations with crisis detection and emotion preservation. Achieves 0.616 BLEU score (422% improvement over baseline). Specialized for counseling, family support, and crisis intervention contexts with cultural sensitivity for Ugandan child communication patterns. Includes safety filters and harmful content detection. 8 epochs training on Helsinki-NLP/opus-mt-mul-en base model with custom tokens for crisis/emotional contexts.

Model Name: opus-mt-lg-en-finetuned
Version: 8
Task: Translation
Framework: pytorch
Export Method: transformers
MLflow Experiment: translation-lg-en
Training Date: 2025-08-02 05:14:25

Model Details

Architecture

• Model Type: Not specified
• Base Model: Helsinki-NLP/opus-mt-mul-en
• Framework: pytorch
• Language(s): lg,en
• License: apache-2.0
• Fine-tuned from: Helsinki-NLP/opus-mt-mul-en

Intended Uses & Limitations

Intended Uses

Child helpline real-time translation, crisis intervention support, counseling sessions, family support communications, educational guidance for Ugandan children and adolescents

Limitations

Best on conversational/emotional content, may struggle with technical terms. 512 token limit. Enhanced emotional sensitivity may over-interpret neutral text. Requires <2s response time for crisis situations.

Training Data

Dataset

• Name: luganda-parallel.jsonl
• Size: 50012
• Languages: lg,en

Training Configuration

Hyperparameters

Performance Metrics

Evaluation Results

Environmental Impact

• Hardware Type: NVIDIA GPU with 4GB+ VRAM
• Training Duration: 7 hours

Usage

Installation

pip install transformers torch

Example - Translation

from transformers import pipeline

# Load the model
translator = pipeline("translation", model="openchs/lg-opus-mt-multi-en-synthetic-v1")

# Translate text
result = translator("Nsobola okuba n’ennamba yo ey’essimu??")
print(result[0]["translation_text"])

MLflow Tracking

• Run ID: 212ff762127b4d569dcf850b23f6268b
• Experiment ID: 22
• Experiment Name: translation-lg-en
• Tracking URI: http://192.168.10.6:5000

Model Card Authors

BITZ AI TEAM

Model Card Contact

[email protected]

Citation

If you use this model, please cite:

@misc{opus_mt_lg_en_finetuned_8,
  title={opus-mt-lg-en-finetuned v8},
  author={BITZ AI TEAM},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/marlonbino/opus-mt-lg-en-finetuned}
}

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This model card was automatically generated from MLflow metadata and user inputs.