metadata
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