Mxbai Embed Large V1

This model is designed for embedding tasks using the MTEB framework. It includes various classification tasks with datasets such as MTEB Amazon Counterfactual Classification and MTEB Amazon Polarity. The model has achieved an accuracy of 75.04%, an average precision of 37.74%, and an F1 score of 68.93%. The configurations are set for the English language and the test split.