---
tags:
- text-classification
library_name: transformers
datasets:
- I77/valid_invalid_questions
language:
- ru
metrics:
- accuracy
- f1
base_model:
- DeepPavlov/rubert-base-cased
---

# RuBERT Model for Logical Question Classification

This model classifies questions as logically correct or incorrect.

 1 - logically correct 

 0 - logically incorrect 

# Metrics on validation

Accuracy: 0.9500
Precision: 1.0000
Recall: 0.9000
F1-score: 0.9474


### Example inference

```python
from transformers import pipeline
classifier = pipeline('text-classification', model='I77/question_classifier')
print(classifier('Этот вопрос логичен?'))
```