metadata

language:
  - ru
tags:
  - text-classification
license: apache-2.0

RuBERTConv Toxic Classifier

Model description

Based on rubert-base-cased-conversational model

Intended uses & limitations

How to use

Colab: link

from transformers import pipeline

model_name = "IlyaGusev/rubertconv_toxic_clf"
pipe = pipeline("text-classification", model=model_name, tokenizer=model_name, framework="pt") 

text = "Ты придурок из интернета"
pipe([text])

Training data

Datasets:

2ch
Odnoklassniki
Toloka Persona Chat Rus
Koziev's Conversations with toxic words vocabulary

Augmentations:

ё -> е
Remove or add "?" or "!"
Fix CAPS
Concatenate toxic and non-toxic texts
Concatenate two non-toxic texts
Add toxic words from vocabulary
Add typos
Mask toxic words with "*", "@", "$"

Training procedure

TBA