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---
library_name: peft
base_model: meta-llama/Meta-Llama-3-8B-Instruct
license: mit
datasets:
- McAuley-Lab/Amazon-Reviews-2023
language:
- en
metrics:
- rouge
pipeline_tag: text-generation
---
# 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:
\<|begin_of_text|\>\<|start_header_id|\>system\<|end_header_id|\>
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'.\<|eot_id|\>\<|start_header_id|\>user\<|end_header_id|\>
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.\<|eot_id|\>\<|start_header_id|\>assistant\<|end_header_id|\>
"These mats slip, fold, bunch, and roll around your car floor. AVOID."\<|eot_id|\>\<|start_header_id|\>assistant\<|end_header_id|\>
### Framework versions
- PEFT 0.10.1.dev0 |