Qwen2.5-1.5B Comment Classifier
Fine-tuned Qwen/Qwen2.5-1.5B for 4-class comment sentiment classification.
Classes
| Label | Description |
|---|---|
| positive | Admiration, joy, love, gratitude, etc. |
| negative | Anger, disgust, sadness, fear, etc. |
| neutral | Neutral statements |
| ambiguous | Surprise, confusion, curiosity, realization |
Training Details
- Base model: Qwen/Qwen2.5-1.5B
- Method: LoRA (r=16, alpha=32)
- Dataset: GoEmotions (58k+ comments)
- Epochs: 3
Usage
from transformers import pipeline
classifier = pipeline("text-classification", model="jovincia/qwen25-comment-classifier")
result = classifier("This product is amazing!")
print(result)
Performance Metrics
See the results/ folder for detailed evaluation and monitoring reports.
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