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monot5-base-msmarco
castorini/monot5-base-msmarco
monot5-base-msmarco is a machine learning model from castorini. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This model is a T5-base reranker fine-tuned on the MS MARCO passage dataset for 100k steps (or 10 epochs).
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Nov 24, 2021
- SHA
- 891f24ce
Model card
From the Hugging Face model README
This model is a T5-base reranker fine-tuned on the MS MARCO passage dataset for 100k steps (or 10 epochs).
For better zero-shot performance (i.e., inference on other datasets), we recommend using castorini/monot5-base-msmarco-10k.
For more details on how to use it, check the following links:
Paper describing the model: Document Ranking with a Pretrained Sequence-to-Sequence Model
- Library
- transformers
- Type
- t5
- Created
- Mar 2, 2022
- Updated
- Nov 24, 2021