---
language:
- en
license: mit
---
# tiny-bert-ranker model card

This model is a fine-tuned version of [prajjwal1/bert-tiny](https://web.archive.org/web/20240315094214/https://huggingface.co./prajjwal1/bert-tiny)
as part of our submission to [ReNeuIR 2024](https://web.archive.org/web/20240704171521/https://reneuir.org/shared_task.html).

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

The model is based on the pre-trained [prajjwal1/bert-tiny](https://huggingface.co./prajjwal1/bert-tiny). It is fine-tuned on a 1GB subset of data
extracted from msmarco's [Train Triples Small](https://web.archive.org/web/20231209043304/https://microsoft.github.io/msmarco/Datasets.html).

Tiny-bert-ranker is part of our investigation into the tradeoffs between efficiency and effectiveness in ranking models.
This approach does not involve BM25 score injection or distillation.

- **Developed by:** Team FSU at ReNeuIR 2024
- **Model type:** sequence-to-sequence model
- **License:** mit
- **Finetuned from model:** prajjwal1/bert-tiny