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README.md
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@@ -30,6 +30,8 @@ All available checkpoints and their performance measured by Concordance Correlat
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|[stories-emotion-c4](https://huggingface.co/chrlukas/stories-emotion-c4)| .8078/.8146 | .6763/.7115 |
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|[stories-emotion-c8](https://huggingface.co/chrlukas/stories-emotion-c8)| **.8223**/**.8237**| **.6829**/**.7120**|
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Technically, this model predicts token-wise valence/arousal values. Sentences are concatenated via the ``<s>`` token, where the valence/arousal predictions for an ``<s>`` token
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are meant to be the predictions for the sentence preceding it. All other tokens' predictions should be ignored. For reference, see the figure in the paper:
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|[stories-emotion-c4](https://huggingface.co/chrlukas/stories-emotion-c4)| .8078/.8146 | .6763/.7115 |
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|[stories-emotion-c8](https://huggingface.co/chrlukas/stories-emotion-c8)| **.8223**/**.8237**| **.6829**/**.7120**|
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We provide the best out of 5 seeds for each context size. Hence, the numbers in this table differ from the result table in the paper, where the mean performance across 5 seeds is reported.
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Technically, this model predicts token-wise valence/arousal values. Sentences are concatenated via the ``<s>`` token, where the valence/arousal predictions for an ``<s>`` token
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are meant to be the predictions for the sentence preceding it. All other tokens' predictions should be ignored. For reference, see the figure in the paper:
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