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@@ -19,6 +19,11 @@ It achieves the following results on the evaluation set:
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  - Uar: 0.7318
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  - Acc: 0.7721
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  ## Model description
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  This model is to predict four emotion categories given and audio file. Labels are anger', 'happiness', 'sadness', 'neutral'. This wav2vec2-based model is known cannot detect 'happiness'.
 
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  - Uar: 0.7318
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  - Acc: 0.7721
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+ For the test set:
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+ - UAR: 0.74
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+ - ACC: 0.794
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  ## Model description
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  This model is to predict four emotion categories given and audio file. Labels are anger', 'happiness', 'sadness', 'neutral'. This wav2vec2-based model is known cannot detect 'happiness'.