all-MiniLM-L6-v2
This is a sentence-transformers model: It maps sentences & paragraphs to a 128 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Model performance (Cosine-Similarity based, on the sts-test dataset):
- Original (384 dimensions): Pearson: 0.8274 Spearman: 0.8203
- 128 dimensions: Pearson: 0.8165 Spearman: 0.8180
- 64 dimensions: Pearson: 0.7855 Spearman: 0.7973
- 32 dimensions: Pearson: 0.7256 Spearman: 0.7481
created using: dimensionality_reduction
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