---
license: apache-2.0
base_model: google-bert/bert-base-uncased
library_name: transformers
tags:
- tevatron
- tevatron-elastic
- information-retrieval
- reranker
- elastic
---

# tevatron-elastic-bert-reranker-depth

A **reranker** trained with [Tevatron-Elastic](https://github.com/zhichaoxu-shufe/tevatron-elastic),
which trains one checkpoint to serve many operating points along the depth / width / token
compression axes. This checkpoint is an elastic **depth** axis (early exit): one checkpoint serves several layer counts.

- **Base model:** `google-bert/bert-base-uncased`
- **Task:** reranker
- **Elastic axis:** depth
- **Training data:** [rlhn/rlhn-680K](https://huggingface.co/datasets/rlhn/rlhn-680K), max length 512, `query:`/`passage:` prefixes.

Full-point BEIR-15 nDCG@10: **0.453**.

Load with the Tevatron-Elastic framework and select an operating point with `prune_to` /
`encode_at`; see the repository for usage. Part of a release of 20 checkpoints (3 backbones,
retrieval and reranking, all compression axes) accompanying the Tevatron-Elastic paper. Reported as
a reproducibility resource, not a state-of-the-art claim.