vocab-transformers/cross_encoder-msmarco-distilbert-word2vec256k-MLM_785k_emb_updated

#cross_encoder-msmarco-distilbert-word2vec256k-MLM_785k_emb_updated

This CrossEncoder was trained with MarginMSE loss from the vocab-transformers/msmarco-distilbert-word2vec256k-MLM_785k_emb_updated checkpoint. Word embedding matrix has been updated during training.

You can load the model with sentence-transformers:

from sentence_transformers import CrossEncoder
from torch import nn
model = CrossEncoder(model_name, default_activation_function=nn.Identity())

Performance on TREC Deep Learning (nDCG@10):

• TREC-DL 19: 71.65
• TREC-DL 20: 73.6