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README.md
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language:
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- en
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---
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<!-- Provide a quick summary of what the model is/does. -->
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As described in [the paper (TODO)](#), this model is finetuned from [DeBERTaV3-large](https://huggingface.co/microsoft/deberta-v3-large) and predicts sentence-wise valence/arousal values between 0 and 1.
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This particular checkpoint was trained with a window size of
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All available checkpoints and their performance measured by Concordance Correlation Coefficient (CCC):
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- **Repository:** [Github](TODO)
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- **Paper:** [ArXiv](TODO)
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## Uses
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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Please see the *Limitations* section in [the paper](#). Please note that the model is not production-ready and provided here for demonstration purposes only.
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[More Information Needed]
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## Citation [optional]
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**BibTeX:**
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[More Information Needed]
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## Model Card Contact
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language:
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- en
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---
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## Emotion Prediction for Written Stories
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<!-- Provide a quick summary of what the model is/does. -->
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As described in [the paper (TODO)](#), this model is finetuned from [DeBERTaV3-large](https://huggingface.co/microsoft/deberta-v3-large) and predicts sentence-wise valence/arousal values between 0 and 1.
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This particular checkpoint was trained with a window size of 4.
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All available checkpoints and their performance measured by Concordance Correlation Coefficient (CCC):
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- **Repository:** [Github](TODO)
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- **Paper:** [ArXiv](TODO)
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## Uses
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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Please see the *Limitations* section in [the paper](#). Please note that the model is not production-ready and provided here for demonstration purposes only.
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## Citation [optional]
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**BibTeX:**
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## Model Card Contact
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