README.md

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license: apache-2.0
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# Model Card for sbhargav/baseline-distilbert-tot24

This is the baseline model released by the organizers for the 2024 edition of TREC-ToT. 
See the [guidelines](https://trec-tot.github.io/) for more information about the track and how to participate!


## Model Details

### Model Description

See a full description of how this model was trained (with code) [here](https://github.com/TREC-ToT/bench/blob/main/DENSE.md).


- **Developed by:** TREC-ToT '24 Organizers
- **License:** Apache 2.0
- **Finetuned from model :** `distilbert/distilbert-base-uncased`

### Model Sources


- **Repository:** https://github.com/TREC-ToT/bench
- **Paper:** NA
- **Website:** https://trec-tot.github.io/

## Uses

- First-stage retrieval for the ToT task (to produce input for a re-ranker)

## Bias, Risks, and Limitations

- Only trained on a small set of ToT queries in a specific domain. 


## Training Details

- Trained on TREC-ToT 24 training and dev1 set.
- Hyperparameter tuning performed on dev2 set

## Citation

**BibTeX:**
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