Update README.md

README.md

@@ -39,12 +39,16 @@ Evaluation results
 Benchmark
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+We compare the [DistilCamemBERT](https://huggingface.co/cmarkea/distilcamembert-base) model with 2 others modelization works on French language. The first [BaptisteDoyen/camembert-base-xnli](https://huggingface.co/BaptisteDoyen/camembert-base-xnli) is based on well named [CamemBERT](https://huggingface.co/camembert-base), the frech RnoBETa model and a ththz rd [MoritzLaurer/mDeBERTa-v3-base-mnli-xnli](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-mnli-xnli) based on [mDeBERTav3](https://huggingface.co/microsoft/mdeberta-v3-base) a multilingue model.
+
 | **NLI**          | **time (ms)** | **MCC (x100)** |
 | :--------------: | :-----------: | :------------: |
 | [cmarkea/distilcamembert-base-nli](https://huggingface.co/cmarkea/distilcamembert-base-nli) | **51.35**            | **66.24**     |
 | [BaptisteDoyen/camembert-base-xnli](https://huggingface.co/BaptisteDoyen/camembert-base-xnli) | 105.0              | 72.67         |
 | [MoritzLaurer/mDeBERTa-v3-base-mnli-xnli](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-mnli-xnli) | 299.18 | 75.15         |
 
+$$P(hypothesis=c|premise)=\frac{e^{P(premise=entailment\vert hypothesis\; c)}}{\sum_{i\in\mathcal{C}}e^{P(premise=entailment\vert hypothesis\; i)}}$$
+
 | **Allociné**     | **time (ms)** | **MCC (x100)** |
 | :--------------: | :-----------: | :------------: |
 | [cmarkea/distilcamembert-base-nli](https://huggingface.co/cmarkea/distilcamembert-base-nli) | **205.54**           | **63.71**     |