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feedback-detector
vllm-sr/feedback-detector
feedback-detector is a text classification model from vllm-sr. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
A ModernBERT-based classifier that detects user satisfaction and dissatisfaction reasons from follow-up messages in conversational AI systems.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Dec 12, 2025
- Updated
- Dec 12, 2025
- SHA
- df122f83
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Model card
From the Hugging Face model README
User Satisfaction Classifier
A ModernBERT-based classifier that detects user satisfaction and dissatisfaction reasons from follow-up messages in conversational AI systems.
Key Insight
Follow-up messages alone contain sufficient signal for classification. No conversation context needed—just pass the user's response directly.
Labels
| Label | Description | Example |
|---|---|---|
SAT | User is satisfied | "Thanks!", "Perfect", "Great!" |
NEED_CLARIFICATION | User needs more explanation | "What do you mean?", "Can you explain?" |
WRONG_ANSWER | System provided incorrect information | "No, that's wrong", "That's not right" |
WANT_DIFFERENT | User wants alternative options | "Show me others", "What else?" |
License
Apache 2.0
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Languages
- en
- Created
- Dec 12, 2025
- Updated
- Dec 12, 2025