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@@ -18,7 +18,7 @@ This model is intended to predict emotions (valence, arousal) in written stories
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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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  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 0.
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  All available checkpoints and their performance measured by Concordance Correlation Coefficient (CCC):
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