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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+
+# 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:**
+```
+```