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license: apache-2.0 |
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# Model Card for sbhargav/baseline-distilbert-tot24 |
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This is the baseline model released by the organizers for the 2024 edition of TREC-ToT. |
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See the [guidelines](https://trec-tot.github.io/) for more information about the track and how to participate! |
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## Model Details |
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### Model Description |
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See a full description of how this model was trained (with code) [here](https://github.com/TREC-ToT/bench/blob/main/DENSE.md). |
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- **Developed by:** TREC-ToT '24 Organizers |
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- **License:** Apache 2.0 |
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- **Finetuned from model :** `distilbert/distilbert-base-uncased` |
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### Model Sources |
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- **Repository:** https://github.com/TREC-ToT/bench |
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- **Paper:** NA |
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- **Website:** https://trec-tot.github.io/ |
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## Uses |
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- First-stage retrieval for the ToT task (to produce input for a re-ranker) |
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## Bias, Risks, and Limitations |
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- Only trained on a small set of ToT queries in a specific domain. |
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## Training Details |
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- Trained on TREC-ToT 24 training and dev1 set. |
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- Hyperparameter tuning performed on dev2 set |
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## Citation |
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**BibTeX:** |
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