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monot5-base-med-msmarco
castorini/monot5-base-med-msmarco
monot5-base-med-msmarco is a feature extraction model from castorini. Use it when you need embeddings to search or compare text. It is set up for transformers.
This model is a T5-base reranker fine-tuned on the MS MARCO passage dataset for 10k steps (or 1 epoch) and then fine-tuned again on MedMARCO (from Sledge-Z paper for 1k steps.
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jun 23, 2021
- SHA
- 7a4324f2
Model card
From the Hugging Face model README
This model is a T5-base reranker fine-tuned on the MS MARCO passage dataset for 10k steps (or 1 epoch) and then fine-tuned again on MedMARCO (from Sledge-Z paper for 1k steps.
For more details on how to use it, check pygaggle.ai
Paper describing the model: Document Ranking with a Pretrained Sequence-to-Sequence Model
- Task
- Feature Extraction
- Library
- transformers
- Type
- t5
- Created
- Mar 2, 2022
- Updated
- Jun 23, 2021