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deberta-v3-base-opp115-multilabel-v2
Hacktrix-121/deberta-v3-base-opp115-multilabel-v2
deberta-v3-base-opp115-multilabel-v2 is a text classification model from Hacktrix-121. Use it when you need a label for a piece of text. It is set up for transformers.
Fine-tuned DeBERTaV3 model for multi-label classification on the OPP115 dataset.
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- deberta-v2
- Access
- Public
- Created
- Nov 21, 2025
- Updated
- Nov 21, 2025
- SHA
- 5af16bd2
Try a prompt
Model card
From the Hugging Face model README
DeBERTaV3 Base — OPP115 Multilabel (v2)
Fine-tuned DeBERTaV3 model for multi-label classification on the OPP115 dataset.
📊 Evaluation Metrics
| Metric | Score |
|---|---|
| Macro F1 | 0.8092 |
| Micro F1 | 0.8565 |
| Weighted F1 | 0.8531 |
| Macro Precision | 0.8657 |
| Macro Recall | 0.7697 |
🧪 Usage
from transformers import AutoModelForSequenceClassification, AutoTokenizer
import torch
model = AutoModelForSequenceClassification.from_pretrained("Hacktrix-121/deberta-v3-base-opp115-multilabel-v2")
tokenizer = AutoTokenizer.from_pretrained("Hacktrix-121/deberta-v3-base-opp115-multilabel-v2")
text = "Your input text here"
inputs = tokenizer(text, return_tensors="pt")
logits = model(**inputs).logits
probs = torch.sigmoid(logits)
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- Languages
- en
- Created
- Nov 21, 2025
- Updated
- Nov 21, 2025