Update README.md

README.md

@@ -33,17 +33,19 @@ tokenizer = AutoTokenizer.from_pretrained("almanach/moderncamembert-cv2-base")
 
 ## Fine-tuning Results:
 
-Datasets: NER (FTB), the FLUE benchmark (XNLI, CLS, PAWS-X), the French Question Answering Dataset (FQuAD).
+Datasets: NER (FTB), the FLUE benchmark (XNLI, CLS, PAWS-X), the French Question Answering Dataset (FQuAD), MTEB (French), MLDR (French).
 
 
-| Model               | FTB-NER   | CLS       | PAWS-X    | XNLI      | F1 (FQuAD) | EM (FQuAD) |
-|---------------------|-----------|-----------|-----------|-----------|------------|------------|
-| CamemBERT           | 89.97     | 94.62     | 91.36     | 81.95     | 80.98      | 62.51      |
-| CamemBERTa          | 90.33     | 94.92     | 91.67     | 82.00     | 81.15      | 62.01      |
-| CamemBERTv2         | 81.99     | 95.07     | 92.00     | 81.75     | 80.98      | 61.35      |
-| **CamemBERTav2**    | **93.40** | **95.63** | **93.06** | **84.82** | **83.04**  | **64.29**  |
-| ModernCamemBERT-CV2 | 92.17     | 94.86     | 92.71     | 82.85     | 81.68      | 62.00      |
-| ModernCamemBERT     | 91.33     | 94.92     | 92.52     | 83.62     | 82.19      | 62.66      |
+| Model               | FTB-NER   | CLS       | PAWS-X    | XNLI      | F1 (FQuAD) | EM (FQuAD) | MTEB (Retrieval)| MLDR (long range retrieval) |
+|---------------------|-----------|-----------|-----------|-----------|------------|------------|------------|------------|
+| CamemBERT           | 89.97     | 94.62     | 91.36     | 81.95     | 80.98      | 62.51      |    -       | -          |
+| CamemBERTa          | 90.33     | 94.92     | 91.67     | 82.00     | 81.15      | 62.01      |    -       | -          |
+| CamemBERTv2         | 91.99     | 95.07     | 92.00     | 81.75     | 80.98      | 61.35      |  **51.67** | 28.37      |
+| **CamemBERTav2**    | **93.40** | **95.63** | **93.06** | **84.82** | **83.04**  | **64.29**  |    31.15   | 00.91      | 
+| ModernCamemBERT-CV2 | 92.17     | 94.86     | 92.71     | 82.85     | 81.68      | 62.00      |    48.79   | 22.59      |
+| ModernCamemBERT     | 91.33     | 94.92     | 92.52     | 83.62     | 82.19      | 62.66      |    49.29   | **34.32**  |
+
+For MTEB and MLDR, the embeddings models were trained on the translated STS benchmark. 
 
 Finetuned models are available in the following collection: [ModernCamembert Models](https://huggingface.co/collections/almanach/moderncamembert-67f7e6d85ede5f7cfc1ce012)