---
license: apache-2.0
datasets:
- seara/ru_go_emotions
language:
- ru
base_model:
- cointegrated/rubert-tiny2
pipeline_tag: text-classification
---

# RuBert-tiny2-EmotionsDetected
# RuBert-tyny2-EmotionsDetected

This model was obtained by fine-tuning the model [RuBert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on the dataset [ru-goemotions](https://github.com/searayeah/ru-goemotions) containing 28 emotions:
```
0: admiration (восхищение)  
1: amusement (веселье)  
2: anger (злость)  
3: annoyance (раздражение)  
4: approval (одобрение)  
5: caring (забота)  
6: confusion (непонимание)  
7: curiosity (любопытство)  
8: desire (желание)  
9: disappointment (разочарование)  
10: disapproval (неодобрение)  
11: disgust (отвращение)  
12: embarrassment (смущение)  
13: excitement (возбуждение)  
14: fear (страх)  
15: gratitude (признательность)  
16: grief (горе)  
17: joy (радость)  
18: love (любовь)  
19: nervousness (нервозность)  
20: optimism (оптимизм)  
21: pride (гордость)  
22: realization (осознание)  
23: relief (облегчение)  
24: remorse (раскаяние)  
25: sadness (грусть)  
26: surprise (удивление)  
27: neutral (нейтральность)  
```

At the moment, the model has been trained for 40 epochs with the following hyperparameters:
```
    per_device_train_batch_size=16,
    per_device_eval_batch_size=16,
    num_train_epochs=1,
    weight_decay=0.01,
    learning_rate=1e-5,
    save_total_limit=2,
    load_best_model_at_end=True,
    metric_for_best_model="f1",
    greater_is_better=True
```