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README.md
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### Language-agnostic approach
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It should be noted that hypotheses and premises are randomly chosen between English and French, with each language combination representing a probability of 25%.
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### Detaset
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### Performance
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| **class** | **precision (%)** | **f1-score (%)** | **support** |
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### Performance
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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) | 80.59 | 63.71 |
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### Language-agnostic approach
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It should be noted that hypotheses and premises are randomly chosen between English and French, with each language combination representing a probability of 25%.
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### Performance
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| **class** | **precision (%)** | **f1-score (%)** | **support** |
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### Performance
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The model is evaluated based on sentiment analysis evaluation on the French film review site [Allociné](https://huggingface.co/datasets/allocine). The dataset is labeled
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into 2 classes, positive comments and negative comments. We then use the hypothesis template "Ce commentaire est {}. and the candidate classes "positif" and "negatif".
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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) | 80.59 | 63.71 |
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