File size: 660 Bytes
d465cc8
 
 
 
c2e9c33
 
 
 
 
 
 
 
 
d465cc8
 
4456cb6
8218f18
4456cb6
8218f18
48608ae
 
 
 
c2e9c33
 
 
 
 
 
 
 
4456cb6
8218f18
4456cb6
 
 
 
c2e9c33
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
---
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?'))
```