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deberta-emotion-multilabel-0.5017
FurqonAryadana/deberta-emotion-multilabel-0.5017
deberta-emotion-multilabel-0.5017 is a text classification model from FurqonAryadana. 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.
This model is a fine-tuned version of microsoft/deberta-v3-large for multilabel emotion classification. It was trained on a custom dataset where each text sample may contain multiple emotions.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- deberta-v2
- Access
- Public
- Created
- Jun 16, 2025
- Updated
- Jun 16, 2025
- SHA
- 59e9b1a1
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Datasets
Model card
From the Hugging Face model README
DeBERTa-v3-Large for Multilabel Emotion Classification
This model is a fine-tuned version of microsoft/deberta-v3-large for multilabel emotion classification.
It was trained on a custom dataset where each text sample may contain multiple emotions.
📌 Model Card
- Model:
FurqonAryadana/deberta-emotion-multilabel-0.5007 - Base: DeBERTa-v3-Large
- Task: Multilabel Emotion Classification
- License: Apache 2.0
- Language: English
- Threshold Tuning: Applied per label
📊 Evaluation (Validation Set)
Detailed Classification Report (After Threshold Tuning):
| Emotion | Precision | Recall | F1-score | Support |
|---|---|---|---|---|
| amusement | 0.62 | 0.70 | 0.66 | 851 |
| anger | 0.41 | 0.61 | 0.49 | 999 |
| annoyance | 0.33 | 0.77 | 0.46 | 1609 |
| caring | 0.44 | 0.55 | 0.49 | 594 |
| confusion | 0.46 | 0.71 | 0.56 | 800 |
| disappointment | 0.30 | 0.50 | 0.37 | 990 |
| disgust | 0.28 | 0.46 | 0.35 | 584 |
| embarrassment | 0.38 | 0.31 | 0.34 | 308 |
| excitement | 0.42 | 0.52 | 0.47 | 632 |
| fear | 0.51 | 0.52 | 0.51 | 321 |
| gratitude | 0.82 | 0.74 | 0.78 | 955 |
| joy | 0.45 | 0.58 | 0.50 | 876 |
| love | 0.66 | 0.78 | 0.71 | 701 |
| sadness | 0.44 | 0.51 | 0.47 | 714 |
- F1 Micro:
0.5104 - F1 Macro:
0.5125
🧠 Emotions (Label Order)
[
'amusement', 'anger', 'annoyance', 'caring', 'confusion', 'disappointment',
'disgust', 'embarrassment', 'excitement', 'fear', 'gratitude', 'joy',
'love', 'sadness'
]
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- apache-2.0
- Languages
- en
- Created
- Jun 16, 2025
- Updated
- Jun 16, 2025