Nomic Embed Text 1.5

The model is designed for sentence similarity tasks using the sentence-transformers library. It supports feature extraction and is part of the MTEB benchmark, specifically for the Amazon Counterfactual Classification dataset in English. The model's performance metrics include an accuracy of 75.21%, an average precision of 38.58%, and an F1 score.