Bge Base En 1.5
by
BAAI
The model is designed for sentence transformation, feature extraction, and sentence similarity tasks. It is part of the MTEB model index, specifically for the Amazon Counterfactual Classification dataset in English. The test split has a revision identifier of e8379541af4e31359cca9fbcf4b00f2671dba205. The model achieved an accuracy of 76.15%, an average precision of 39.32%, and an F1 score of 70.17%.
Embedding Model
PYTORCH
Quick Info
Released
9/11/2023Framework
PYTORCH