Uploaded model
- Developed by: helixx999
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2-9b-bnb-4bit
This model is fine-tuned to perform aspect-based sentiment analysis (ABSA), identifying sentiment (positive, neutral, or negative) and aspects category such as food, service, and ambiance in restaurant reviews. It builds on the open-source Gemma model (9B parameters) with LoRA for parameter-efficient fine-tuning, making it lightweight and accessible without compromising performance.
Key Features Aspect-Aware Sentiment Detection: Goes beyond overall sentiment analysis to detect sentiment for specific aspects category in text.
Intended Use
Customer Feedback Analysis: Gleaning actionable insights from reviews. Business Intelligence: Identifying key areas for improvement based on customer sentiment. NLP Research: As a benchmark for aspect-based sentiment analysis tasks.
This gemma2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
