---
library_name: peft
base_model: meta-llama/Llama-2-7b-chat-hf
---

# Model Card for Model ID

This model takes an Amazon review as input, along with its user rating and product categories. It then generates a title for the review.


## Model Details
Example prompt:

<s>[INST] <<SYS>>
Generate the best succinct title for the following product review. Your only output should be the title itself. Do not mention the user rating in the title. Product rating: 1/5 stars. Product categories: 'Automotive, Interior Accessories, Floor Mats & Cargo Liners, Floor Mats'.
<</SYS>>

These are super flimsy and the mats slip and roll around on the floor, can be pretty dangerous when the slip and fold by the pedals. Avoid buying these. Waste of money. You're better off without any mats than having these. [/INST] "These mats slip, fold, bunch, and roll around your car floor. AVOID." </s> 

### Model Description

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## Uses

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### Direct Use

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## Bias, Risks, and Limitations

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### Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

Use the code below to get started with the model.

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## Training Details

### Training Data

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### Training Procedure

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#### Training Hyperparameters

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## Evaluation

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### Results

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#### Summary



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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

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### Framework versions

- PEFT 0.10.1.dev0