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--- |
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license: cc-by-sa-4.0 |
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language: |
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- en |
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metrics: |
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- accuracy |
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datasets: |
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- clarin-knext/cst_datasets |
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base_model: roberta-large |
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pipeline_tag: text-classification |
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model-index: |
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- name: accuracy |
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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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metrics: |
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- type: accuracy |
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value: 63.31 |
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verified: false |
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widget: |
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- text: "s1: Taking pictures can be straining for the arms. |
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s2: The photographer is massaging her arm, sore from holding the lens." |
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example_title: "Generalization example" |
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- text: "s1: The children told their parents that as they were going up to the third floor, the escalator stopped. |
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s2: When we were reaching the third floor, the escalator stopped." |
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example_title: "Indirect speech example" |
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--- |
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# Accuracy per class |
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<code>TODO</code> |
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# Usage |
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<code>TODO</code> |
