README.md

metadata

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

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