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A fine-tuned multi-label emotion classification model based on [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) and trained on the [GoEmotions](https://github.com/google-research/goemotions) dataset. This model is designed to power emotional tagging for personal journaling and mental wellness applications like **MindMap**.
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## 🚀 Model Details
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- **Base Model**: DeBERTa v3 Base
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A fine-tuned multi-label emotion classification model based on [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) and trained on the [GoEmotions](https://github.com/google-research/goemotions) dataset. This model is designed to power emotional tagging for personal journaling and mental wellness applications like **MindMap**.
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## Note: This model is part of the experiment to find the best-performing emotion classification model for our digital journaling web application called MindMap.
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## 🚀 Model Details
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- **Base Model**: DeBERTa v3 Base
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