Zero-Shot Classification
Transformers
PyTorch
Safetensors
bert
text-classification
Inference Endpoints
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@@ -60,6 +60,19 @@ You can use this model in your scripts as follows:
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  ```
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  ## Training procedure
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  0.03321893885731697]}
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  ```
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+ ## Performance
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+ As Danish is, as far as we are aware, the only Scandinavian language with a gold standard NLI dataset, namely the [DanFEVER dataset](https://aclanthology.org/2021.nodalida-main.pdf#page=439), we report evaluation scores on the test split of that dataset.
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+ We report Matthew's Correlation Coefficient (MCC), macro-average F1-score as well as accuracy.
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+ | **Model** | **MCC** | **Macro-F1** | **Accuracy** |
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+ | :-------- | :------------ | :--------- | :----------- |
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+ | `alexandrainst/nb-bert-large-nli-scandi` (this) | 73.80% | 58.41% | 86.98% |
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+ | [`alexandrainst/nb-bert-base-nli-scandi`](https://huggingface.co/alexandrainst/nb-bert-base-nli-scandi) | 62.44% | 55.00% | 80.42% |
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+ | [`alexandrainst/xlm-roberta-base-nli-scandi`](https://huggingface.co/alexandrainst/xlm-roberta-base-nli-scandi) | 54.19% | 51.77% | 76.69% |
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+ | [`alexandrainst/electra-small-nordic-nli-scandi`](https://huggingface.co/alexandrainst/electra-small-nordic-nli-scandi) | 47.28% | 48.88% | 73.46% |
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  ## Training procedure
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