MonoT5¶

The MonoT5 module is a reranker that uses the MonoT5 model. This model rerank passages based on their relevance to a given query.

Module Parameters¶

(Optional) model_name:
- Requiring the specification of a model_name. The model used must be defined in a provided model dictionary, allowing for flexible integration of different monoT5 variants.
- default is castorini/monot5-3b-msmarco-10k
(Optional) batch
- Specify the batch size of the query to the TART model.
- default is 64.

modules:
  - module_type: monot5

Model Name
castorini/monot5-base-msmarco
castorini/monot5-base-msmarco-10k
castorini/monot5-large-msmarco
castorini/monot5-large-msmarco-10k
castorini/monot5-base-med-msmarco
castorini/monot5-3b-med-msmarco
castorini/monot5-3b-msmarco-10k
unicamp-dl/mt5-base-en-msmarco
unicamp-dl/ptt5-base-pt-msmarco-10k-v2
unicamp-dl/ptt5-base-pt-msmarco-100k-v2
unicamp-dl/ptt5-base-en-pt-msmarco-100k-v2
unicamp-dl/mt5-base-en-pt-msmarco-v2
unicamp-dl/mt5-base-mmarco-v2
unicamp-dl/mt5-base-en-pt-msmarco-v1
unicamp-dl/mt5-base-mmarco-v1
unicamp-dl/ptt5-base-pt-msmarco-10k-v1
unicamp-dl/ptt5-base-pt-msmarco-100k-v1
unicamp-dl/ptt5-base-en-pt-msmarco-10k-v1
unicamp-dl/mt5-3B-mmarco-en-pt
unicamp-dl/mt5-13b-mmarco-100k