Sentence Similarity
sentence-transformers
PyTorch
Vietnamese
English
xlm-roberta
mathematics
vietnamese
exact-chunk-retrieval
hierarchical-learning
e5-base
mrr-optimization
fine-tuned
model-comparison
text-embeddings-inference
Instructions to use ThanhLe0125/e5-math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ThanhLe0125/e5-math with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ThanhLe0125/e5-math") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Commit History
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MRR-optimized E5-Math (+0.074 MRR vs base) - 25/06/2025
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MRR-optimized E5-Math - Test MRR: 0.8439068100358421 (avg rank: 1.1849649607135275) - 25/06/2025
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MRR-optimized E5-Math (+0.089 MRR vs base) - 25/06/2025
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MRR-optimized E5-Math - Test MRR: 0.8443548387096775 (avg rank: 1.184336198662846) - 25/06/2025
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E5-Math model - Test P@5: 0.19784946236559103 - 25/06/2025
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Hierarchical E5-Math for exact chunk retrieval - 25/06/2025
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initial commit
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