The rubert-tiny2-russian-emotion-detection is a fine-tuned rubert-tiny2 model for multi-label emotion classification task, specifically on Russian texts. Trained on custom ru-izard-emotions dataset, so this model can recognize a spectrum of 9 emotions, including joy, sadness, anger, enthusiasm, surprise, disgust, fear, guilt, shame + neutral (no emotion). Project was inspired by the Izard's model of human emotions.

Give it a try right here:
🔗 Russian Emotion Detection Web App

Or check out HuggingFace:
🔗 Djacon/rubert-tiny2-russian-emotion-detection

Optimizer: AdamW
Schedule: LambdaLR
Learning Rate: 1e-4
Batch Size: 64
Number Of Epochs: 10

0. Neutral (Нейтрально)
1. Joy (Радость)
2. Sadness (Грусть)
3. Anger (Гнев)
4. Enthusiasm (Интерес)
5. Surprise (Удивление)
6. Disgust (Отвращение)
7. Fear (Страх)
8. Guilt (Вина)
9. Shame (Стыд)