---
library_name: transformers
tags:
- nli
- natural-language-inference
license: mit
language:
- ru
- en
metrics:
- accuracy
- f1
- precision
- recall
base_model:
- ai-forever/ru-en-RoSBERTa
pipeline_tag: zero-shot-classification
model-index:
- name: rubert-tiny-nli-terra-v0
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: TERRa
      type: NLI
      split: validation
    metrics:
    - type: accuracy
      value: 0.8208469055374593
      name: Accuracy
    - type: f1
      value: 0.8208469055374593
      name: F1
    - type: precision
      value: 0.8181818181818182
      name: Precision
    - type: recall
      value: 0.8235294117647058
      name: Recall
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: TERRa
      type: NLI
      split: test
    metrics:
    - type: accuracy
      value: 0.753
      name: Accuracy
---

# RoSBERTa-nli-terra-v0