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cross_encoder-msmarco-distilbert-word2vec256k-MLM_785k_emb_updated
vocab-transformers/cross_encoder-msmarco-distilbert-word2vec256k-MLM_785k_emb_updated
cross_encoder-msmarco-distilbert-word2vec256k-MLM_785k_emb_updated is a text classification model from vocab-transformers. Use it when you need a label for a piece of text. It is set up for transformers.
crossencoder-msmarco-distilbert-word2vec256k-MLM785kembupdated
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 25, 2022
- SHA
- 8e5cdfd3
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Model card
From the Hugging Face model README
#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
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Mar 2, 2022
- Updated
- Feb 25, 2022