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mDeBERTa-EAD-sentiment-3class-final
rwillh11/mDeBERTa-EAD-sentiment-3class-final
mDeBERTa-EAD-sentiment-3class-final is a text classification model from rwillh11. Use it when you need a label for a piece of text. It is set up for transformers.
Trained on 3500 paragraphs from english and spanish newspapers, with balanced classes (Negative, Neutral, Positive).
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- deberta-v2
- Access
- Public
- Created
- Jun 13, 2024
- Updated
- Jun 13, 2024
- SHA
- 8004f344
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Model card
From the Hugging Face model README
Trained on 3500 paragraphs from english and spanish newspapers, with balanced classes (Negative, Neutral, Positive).
Accuracy 0.785311 F1 Macrco 0.782946 Balanced Accuracy 0.785611
Best Hyperparameters found using Optuna: {'learning_rate': 2.1934387205051642e-05, 'weight_decay': 0.08994276977837379, 'warmup_ratio': 0.07452391812825375}
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- Created
- Jun 13, 2024
- Updated
- Jun 13, 2024