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  ---
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  license: apache-2.0
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  tags:
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- - emotion-detection
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- - text-classification
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- - transformers
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- - deberta
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- - huggingface
 
 
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  datasets:
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- - dair-ai/emotion
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- - faisalsanto007/isear-dataset
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- - debarshichanda/goemotions
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  metrics:
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- - accuracy
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- - precision
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- - recall
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- - f1
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  model-index:
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- - name: Emotion-Classification-DeBERTa-v3-Large
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- results:
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- - task:
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- type: text-classification
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- name: Emotion Classification
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- dataset:
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- name: Merged Emotion Datasets (GoEmotions + ISEAR + Emotion)
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- type: text
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.96 # update to your real metric
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- - name: F1
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- type: f1
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- value: 0.94
 
 
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  ---
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  # DeBERTa-v3-Large for Emotion Detection (Merged & Augmented Dataset)
@@ -167,4 +171,4 @@ If you use this model in your work, please cite:
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  journal={arXiv preprint arXiv:2006.03654},
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  year={2021}
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  }
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- ```
 
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  ---
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  license: apache-2.0
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  tags:
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+ - emotion-detection
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+ - text-classification
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+ - transformers
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+ - deberta
8
+ - huggingface
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+ - emotion
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+ - emotion-classification
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  datasets:
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+ - dair-ai/emotion
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+ - faisalsanto007/isear-dataset
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+ - debarshichanda/goemotions
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  metrics:
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+ - accuracy
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+ - precision
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+ - recall
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+ - f1
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  model-index:
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+ - name: Emotion-Classification-DeBERTa-v3-Large
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+ results:
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+ - task:
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+ type: text-classification
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+ name: Emotion Classification
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+ dataset:
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+ name: Merged Emotion Datasets (GoEmotions + ISEAR + Emotion)
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+ type: text
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.96
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+ - name: F1
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+ type: f1
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+ value: 0.94
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+ base_model:
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+ - microsoft/deberta-v3-large
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  ---
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  # DeBERTa-v3-Large for Emotion Detection (Merged & Augmented Dataset)
 
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  journal={arXiv preprint arXiv:2006.03654},
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  year={2021}
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  }
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+ ```