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+ ---
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+ language: multilingual
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+ library_name: sentence-transformers
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+ pipeline_tag: sentence-similarity
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+ tags:
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+ - sentence-transformers
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+ - multilingual
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+ - nutrition
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+ - retrieval
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+ base_model: intfloat/multilingual-e5-base
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+ ---
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+
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+ # Multilingual E5 Nutrition Fine-tuned
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+
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+ This model is a fine-tuned version of `intfloat/multilingual-e5-base` specifically for nutrition domain retrieval.
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+
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+ ## Model Details
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+
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+ - Base Model: intfloat/multilingual-e5-base
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+ - Fine-tuned on: 5228 nutrition samples
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+ - Best Validation Loss: 0.1619
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+ - Architecture: Identical to original multilingual-e5-base
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+
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+ ## Usage
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+
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+ Use exactly like the original multilingual-e5-base:
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+
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+ |||python
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+ from sentence_transformers import SentenceTransformer
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+
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+ model = SentenceTransformer('linhha2705/multilingual-e5-simple')
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+
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+ # Encode queries and passages with prefixes
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+ query = "query: What is healthy food?"
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+ passage = "passage: Healthy food includes fruits and vegetables."
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+
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+ query_embedding = model.encode(query)
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+ passage_embedding = model.encode(passage)
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+ |||
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+
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+ ## Performance
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+
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+ Improved retrieval accuracy for nutrition domain while maintaining full compatibility with multilingual-e5-base.
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