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@@ -22,7 +22,7 @@ model_description: >-
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  'pride', 'realization', 'relief', 'remorse', 'sadness', 'surprise',
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  'neutral'). A paper will be published soonish...
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  ---
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- # Model Card for G-E5-rman-Emotions
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  This is basically the German translation of arpanghoshal/EmoRoBERTa. We used the go_emotions dataset, translated it into German and fine-tuned the FacebookAI/xlm-roberta-base model. So this model allows the classification of **28 emotions** in German Transcripts (**'admiration', 'amusement', 'anger', 'annoyance', 'approval', 'caring', 'confusion', 'curiosity', 'desire', 'disappointment', 'disapproval', 'disgust', 'embarrassment', 'excitement', 'fear', 'gratitude', 'grief', 'joy', 'love', 'nervousness', 'optimism', 'pride', 'realization', 'relief', 'remorse', 'sadness', 'surprise', 'neutral'**). A paper will be published soonish...
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@@ -44,7 +44,6 @@ This is basically the German translation of arpanghoshal/EmoRoBERTa. We used the
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  - kappa: 0.42
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  ---
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-
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  ## How to Get Started with the Model
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  Use the code below to get started with the model.
 
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  'pride', 'realization', 'relief', 'remorse', 'sadness', 'surprise',
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  'neutral'). A paper will be published soonish...
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  ---
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+ # Model Card for German-Emotions
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  This is basically the German translation of arpanghoshal/EmoRoBERTa. We used the go_emotions dataset, translated it into German and fine-tuned the FacebookAI/xlm-roberta-base model. So this model allows the classification of **28 emotions** in German Transcripts (**'admiration', 'amusement', 'anger', 'annoyance', 'approval', 'caring', 'confusion', 'curiosity', 'desire', 'disappointment', 'disapproval', 'disgust', 'embarrassment', 'excitement', 'fear', 'gratitude', 'grief', 'joy', 'love', 'nervousness', 'optimism', 'pride', 'realization', 'relief', 'remorse', 'sadness', 'surprise', 'neutral'**). A paper will be published soonish...
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  - kappa: 0.42
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  ---
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  ## How to Get Started with the Model
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  Use the code below to get started with the model.