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---
datasets:
- Mnwa/russian-toxic
language:
- ru
metrics:
- precision
- recall
- f1
model-index:
- name: toxic-detector-roberta
  results:
  - task:
      name: Toxic-detector-roberta
      type: text-classification
    dataset:
      name: Mnwa/russian-toxic
      type: Mnwa/russian-toxic
      split: test
      args:
        language: ru
    metrics:
    - name: precision class negative
      type: precision
      value: 0.92
    - name: precision class positive
      type: precision
      value: 0.97
    - name: recall class negative
      type: recall
      value: 0.9
    - name: recall class positive
      type: recall
      value: 0.98
    - name: f1 class negative
      type: f1
      value: 0.91
    - name: f1 class positive
      type: f1
      value: 0.98
pipeline_tag: text-classification
---

model pretrained in dataset Mnwa/russian-toxic after finetuned