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---
license: apache-2.0
tags:
- tabular-regression
- ehr
- transformer
- medical
model_name: audit-icu-gpt2-25_3M
---
# audit-icu-llama-58_1M
This repo contains the model weights for audit-icu-llama-58_1M, a tabular language model built on the llama architecture
for evaluating the cross-entropy of Epic EHR audit log event sequences. This model was originally designed to
calculate cross-entropies but can also be used for generation.
The code to train and perform inference this model is available [here](https://github.com/bcwarner/audit-log-lm).
More details about how to use this model can be found there.
# Model Details
More details can be found in the model card of our paper in Appendix B [here](https://arxiv.org/abs/2311.06401).
Please cite our paper if you use this model in your work:
```
@misc{warner2023autoregressive,
title={Autoregressive Language Models For Estimating the Entropy of Epic EHR Audit Logs},
author={Benjamin C. Warner and Thomas Kannampallil and Seunghwan Kim},
year={2023},
eprint={2311.06401},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
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