castorini / tct_colbert-v2-hnp-msmarco-r2

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Total runs: 101
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30-day runs: 80
Model's Last Updated: Tháng tám 16 2021
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Introduction of tct_colbert-v2-hnp-msmarco-r2

Model Details of tct_colbert-v2-hnp-msmarco-r2

This model is to reproduce a variant of TCT-ColBERT-V2 dense retrieval models described in the following paper:

Sheng-Chieh Lin, Jheng-Hong Yang, and Jimmy Lin. In-Batch Negatives for Knowledge Distillation with Tightly-CoupledTeachers for Dense Retrieval. RepL4NLP 2021 .

Specifically, this checkpoint is finetuned for MS MARCO-V2 passage ranking, and we use this checkpoint as our ``trained'' model for TREC DL 2021 submissions. The initial checkpoint is from a previous one tct_colbert-v2-hnp-msmarco trained on MS MARCO . For fine-tuning, we construct our training data for MS MARCO-V2 passage ranking using this script .

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101
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3-day runs
1
7-day runs
80
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