Update README.md

README.md

@@ -120,39 +120,37 @@ If you plan to fine-tune this model on some downstream tasks, you can follow the
 
 #### Task-Specific Learning Rates
 
+##### Retrieval:
+| Dataset                                 | EuroBERT-210m | EuroBERT-610m | EuroBERT-2.1B |
+|-----------------------------------------|----------------|----------------|----------------|
+| MIRACL                                  | 4.6e-05        | 3.6e-05        | 2.8e-05        |
+| MLDR                                    | 2.8e-05        | 2.2e-05        | 4.6e-05        |
+| CC-News                                 | 4.6e-05        | 4.6e-05        | 3.6e-05        |
+| Wikipedia                               | 2.8e-05        | 3.6e-05        | 2.8e-05        |
+| CodeSearchNet                           | 4.6e-05        | 2.8e-05        | 3.6e-05        |
+| DupStackMath                            | 4.6e-05        | 2.8e-05        | 3.6e-05        |
+| MathFormula                             | 1.7e-05        | 3.6e-05        | 3.6e-05        |
+
 ##### Sequence Classification:
 
 | Dataset                              | EuroBERT-210m | EuroBERT-610m | EuroBERT-2.1B |
 |--------------------------------------|----------------|----------------|----------------|
 | XNLI                                 | 3.6e-05        | 3.6e-05        | 2.8e-05        |
 | PAWS-X                               | 3.6e-05        | 4.6e-05        | 3.6e-05        |
-| QAM                                  | 3.6e-05        | 2.8e-05        | 2.2e-05        |
 | AmazonReviews                        | 3.6e-05        | 2.8e-05        | 3.6e-05        |
 | MassiveIntent                        | 6.0e-05        | 4.6e-05        | 2.8e-05        |
-| CodeDefect                           | 3.6e-05        | 2.8e-05        | 1.3e-05        |
 | CodeComplexity                       | 3.6e-05        | 3.6e-05        | 1.0e-05        |
+| CodeDefect                           | 3.6e-05        | 2.8e-05        | 1.3e-05        |
 | MathShepherd                         | 7.7e-05        | 2.8e-05        | 1.7e-05        |
 
 ##### Sequence Regression:
 
 | Dataset                  | EuroBERT-210m | EuroBERT-610m | EuroBERT-2.1B |
 |--------------------------|----------------|----------------|----------------|
+| WMT (Ref-based)          | 2.8e-05        | 2.8e-05        | 1.3e-05        |
+| WMT (Ref-free)           | 2.8e-05        | 2.8e-05        | 1.3e-05        |
 | SeaHorse                 | 3.6e-05        | 3.6e-05        | 2.8e-05        |
-| SummevalMultilingual     | 3.6e-05        | 2.8e-05        | 3.6e-05        |
-| WMT                      | 2.8e-05        | 2.8e-05        | 1.3e-05        |
-
-##### Retrieval:
-| Dataset                                 | EuroBERT-210m | EuroBERT-610m | EuroBERT-2.1B |
-|-----------------------------------------|----------------|----------------|----------------|
-| MIRACL                                  | 4.6e-05        | 3.6e-05        | 2.8e-05        |
-| MLDR                                    | 2.8e-05        | 2.2e-05        | 4.6e-05        |
-| CC-News                                 | 4.6e-05        | 4.6e-05        | 3.6e-05        |
-| Wikipedia                               | 2.8e-05        | 3.6e-05        | 2.8e-05        |
-| CodeSearchNet                           | 4.6e-05        | 2.8e-05        | 3.6e-05        |
-| CqaDupStackMath                         | 4.6e-05        | 2.8e-05        | 3.6e-05        |
-| MathFormula                             | 1.7e-05        | 3.6e-05        | 3.6e-05        |
 
-**Disclaimer**: These are suggested hyperparameters based on our experiments. We recommend conducting your own grid search for best results on your specific downstream task.
 
 ## License