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