Downloads · 30 days
14
22% of all-time downloads
qwen25-comment-classifier
jovincia/qwen25-comment-classifier
qwen25-comment-classifier is a text classification model from jovincia. Use it when you need a label for a piece of text. The card lists the license as apache-2.0.
Fine-tuned Qwen/Qwen2.5-1.5B for 4-class comment sentiment classification.
All-time downloads
65
Public
Parameters
1.5B
3.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors3.1 GB · 100%
At a glance
- Task
- Text Classification
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Feb 27, 2026
- Updated
- Feb 27, 2026
- SHA
- e2b31bdc
Try a prompt
Model card
From the Hugging Face model README
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.
- Task
- Text Classification
- Type
- qwen2
- License
- apache-2.0
- Languages
- en
- Created
- Feb 27, 2026
- Updated
- Feb 27, 2026