README.md

---
language: multilingual
library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- multilingual
- nutrition
- retrieval
base_model: intfloat/multilingual-e5-base
---

# Multilingual E5 Nutrition Fine-tuned

This model is a fine-tuned version of `intfloat/multilingual-e5-base` specifically for nutrition domain retrieval.

## Model Details

- Base Model: intfloat/multilingual-e5-base
- Fine-tuned on: 5228 nutrition samples
- Best Validation Loss: 0.1619
- Architecture: Identical to original multilingual-e5-base

## Usage

Use exactly like the original multilingual-e5-base:

|||python
from sentence_transformers import SentenceTransformer

model = SentenceTransformer('linhha2705/multilingual-e5-simple')

# Encode queries and passages with prefixes
query = "query: What is healthy food?"
passage = "passage: Healthy food includes fruits and vegetables."

query_embedding = model.encode(query)
passage_embedding = model.encode(passage)
|||

## Performance

Improved retrieval accuracy for nutrition domain while maintaining full compatibility with multilingual-e5-base.