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--- |
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language: en |
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license: apache-2.0 |
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tags: |
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- sentence-transformers |
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- feature-extraction |
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- sentence-similarity |
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- transformers |
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- embeddings |
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datasets: |
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- custom |
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metrics: |
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- cosine_similarity |
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- spearman_correlation |
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pipeline_tag: sentence-similarity |
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library_name: sentence-transformers |
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model-index: |
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- name: Helion-V1-Embeddings |
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results: |
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- task: |
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type: semantic-similarity |
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name: Semantic Textual Similarity |
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dataset: |
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name: STS Benchmark |
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type: sts-benchmark |
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metrics: |
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- type: spearman_correlation |
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value: 0.78 |
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name: Spearman Correlation |
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- task: |
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type: information-retrieval |
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name: Information Retrieval |
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dataset: |
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name: Custom Retrieval Test |
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type: custom |
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metrics: |
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- type: accuracy |
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value: 0.85 |
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name: Retrieval Accuracy |
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- task: |
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type: clustering |
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name: Clustering |
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dataset: |
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name: Custom Clustering Test |
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type: custom |
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metrics: |
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- type: silhouette_score |
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value: 0.65 |
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name: Silhouette Score |
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widget: |
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- source_sentence: "How do I reset my password?" |
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sentences: |
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- "Password reset instructions" |
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- "Cooking pasta recipe" |
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- "Weather forecast today" |
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- source_sentence: "Machine learning tutorial" |
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sentences: |
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- "Learn AI and machine learning" |
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- "Gardening tips for beginners" |
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- "Neural networks explained" |