linhha2705/multilingual-e5-simple

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.