all-mpnet-base-v2
This is a sentence-transformers model: This model 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 (768 dimensions): Pearson: 0.8404 Spearman: 0.8342
- 128 dimensions: Pearson: 0.8318 Spearman: 0.8361
created using: dimensionality_reduction
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