# Document Re-ranking

This is a PyLate model fine-tuned from answerdotai/ModernBERT-base on the MS-MARCO dataset, designed for sentence similarity calculation and document retrieval.

A re-ranker based on the T5-3B architecture, fine-tuned for 100,000 steps on the MS MARCO passage dataset for document ranking tasks.

A fine-tuned version based on the BERT-Base architecture for the MS MARCO passage classification task, suitable for document re-ranking tasks

This is a text re-ranking model trained on the MS MARCO document dataset for BM25 retrievers, primarily used to improve the ranking effectiveness of document retrieval.