Create README.md

README.md

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+---
+license: cc-by-nc-4.0
+---
+
+This is a **Factual Consistency Evaluation** model, introduced in the [TrueTeacher paper (Gekhman et al, 2023)](https://arxiv.org/pdf/2305.11171.pdf).
+
+The model is optimized for evaluating factual consistency in **summarization**.
+
+It is the main model from the paper (see **"T5-11B w. ANLI + TrueTeacher full"** in **Table 1**) which is based on a **T5-11B** fine-tuned with a mixture of the following datasets:
+- TrueTeacher ([Gekhman et al., 2023](https://arxiv.org/pdf/2305.11171.pdf))
+- ANLI ([Nie et al., 2020](https://aclanthology.org/2020.acl-main.441.pdf))
+
+
+The input format for the model is: "premise: GROUNDING_DOCUMENT hypothesis: HYPOTHESIS_SUMMARY".
+
+The model predicts a binary label ('1' - Factualy Consistent, '0' - Factualy Inconsistent).
+
+If you use this model for a research publication, please cite the TrueTeacher paper (using the bibtex entry below) and the dataset papers mentioned above.
+
+```
+@misc{gekhman2023trueteacher,
+ title={TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models}, 
+ author={Zorik Gekhman and Jonathan Herzig and Roee Aharoni and Chen Elkind and Idan Szpektor},
+ year={2023},
+ eprint={2305.11171},
+ archivePrefix={arXiv},
+ primaryClass={cs.CL}
+}
+```