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README.md
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@@ -45,7 +45,14 @@ Here are the performances for the hypothesis and premise in French:
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And now the hypothesis in French and the premise in English (cross-language context):
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# Zero-shot Classification
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The primary appeal of training such models lies in their zero-shot classification performance. This means the model is capable of classifying any text with any label
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And now the hypothesis in French and the premise in English (cross-language context):
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| **model** | **accuracy (%)** | **MCC (x100)** |
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| :--------------: | :--------------: | :------------: |
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| [cmarkea/distilcamembert-base-nli](https://huggingface.co/cmarkea/distilcamembert-base-nli) | | |
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| [BaptisteDoyen/camembert-base-xnli](https://huggingface.co/BaptisteDoyen/camembert-base-xnli) | | |
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| [MoritzLaurer/mDeBERTa-v3-base-mnli-xnli](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-mnli-xnli) | | |
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| [cmarkea/bloomz-560m-nli](https://huggingface.co/cmarkea/bloomz-560m-nli) | 68.84 | 53.55 |
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| [cmarkea/bloomz-3b-nli](https://huggingface.co/cmarkea/bloomz-3b-nli) | 82.12 | 73.22 |
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| [cmarkea/bloomz-7b1-mt-nli](https://huggingface.co/cmarkea/bloomz-7b1-mt-nli) | 85.43 | 78.25 |
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# Zero-shot Classification
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The primary appeal of training such models lies in their zero-shot classification performance. This means the model is capable of classifying any text with any label
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