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msmarco-distilbert-margin-mse

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text-embeddings-inference

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This is the zero-shot baseline model in the paper "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval"

The training setup:

Start from distilbert-base-uncased;
Mine 50 hard negatives for each query on MS MARCO with sentence-transformers/msmarco-distilbert-base-v3 and sentence-transformers/msmarco-MiniLM-L-6-v3;
Do Margin-MSE training on the tuples (including queries, gold relevant, and hard negatives) with the teacher model cross-encoder/ms-marco-MiniLM-L-6-v2 for 70K steps with batch size 75, max. sequence-length 350.

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