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Datasets used to train sam-babayev/zzz
Spaces using sam-babayev/zzz 11
Evaluation results
- accuracy on MTEB AmazonCounterfactualClassification (en)test set self-reported69.731
- ap on MTEB AmazonCounterfactualClassification (en)test set self-reported31.618
- f1 on MTEB AmazonCounterfactualClassification (en)test set self-reported63.303
- accuracy on MTEB AmazonPolarityClassificationtest set self-reported86.898
- ap on MTEB AmazonPolarityClassificationtest set self-reported82.395
- f1 on MTEB AmazonPolarityClassificationtest set self-reported86.873
- accuracy on MTEB AmazonReviewsClassification (en)test set self-reported44.050
- f1 on MTEB AmazonReviewsClassification (en)test set self-reported42.676
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sam-babayev/zzz") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]