---
{}
---
language: en
license: cc-by-4.0
tags:
- text-classification
repo: N.A.

---

# Model Card for llama2-promt-av-binary-lora

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This model is trained as part of the coursework of COMP34812.

This is a binary classification model that was trained with prompt input to
      detect whether two pieces of text were written by the same author.


## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

This model is based on a Llama2 model that was fine-tuned
      on 30K pairs of texts for authorship verification. The model is fine-tuned with prompt inputs to utilize the model's linguistic knowledge.
      To run the model, the demo code is provided in demo.ipynb submitted.
      It is advised to use the pre-processing and post-processing functions (provided in demo.ipynb) along with the model for best results.

- **Developed by:** Hei Chan
- **Language(s):** English
- **Model type:** Supervised
- **Model architecture:** Transformers
- **Finetuned from model [optional]:** meta-llama/Llama-2-7b-hf

### Model Resources

<!-- Provide links where applicable. -->

- **Repository:** https://huggingface.co/meta-llama/Llama-2-7b-hf
- **Paper or documentation:** https://arxiv.org/abs/2307.09288