Update README.md

README.md

@@ -70,6 +70,15 @@ is the sentence we aim to classify.
 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 
 into 2 classes, positive comments and negative comments. We then use the hypothesis template "Ce commentaire est {}. and the candidate classes "positif" and "negatif".
 
+| **model**     | **accuracy (%)** | **MCC (x100)** |
+| :--------------: | :--------------: | :------------: |
+| [cmarkea/distilcamembert-base-nli](https://huggingface.co/cmarkea/distilcamembert-base-nli) | 80.59         | 63.71         |
+| [BaptisteDoyen/camembert-base-xnli](https://huggingface.co/BaptisteDoyen/camembert-base-xnli) | 86.37     | 73.74     |
+| [MoritzLaurer/mDeBERTa-v3-base-mnli-xnli](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-mnli-xnli) | 84.97         | 70.05         |
+| [cmarkea/bloomz-560m-nli](https://huggingface.co/cmarkea/bloomz-560m-nli) | 71.13 | 46.3     |
+| [cmarkea/bloomz-3b-nli](https://huggingface.co/cmarkea/bloomz-3b-nli) | 89.06 | 78.10     |
+| [cmarkea/bloomz-7b1-mt-nli](https://huggingface.co/cmarkea/bloomz-7b1-mt-nli) | 95.12 | 90.27     |
+
 # How to use Bloomz-3b-NLI
 
 ```python