update fairness std

README.md

@@ -358,12 +358,12 @@ The [notebook](https://huggingface.co/spaces/HuggingFaceM4/m4-bias-eval/blob/mai
 
 Besides, we also computed the classification accuracy on FairFace for both the base and instructed models:
 
-| Model | Shots | <nobr>FairFace - Gender<br>acc.</nobr> | <nobr>FairFace - Gender<br>per bucket std.</nobr> | <nobr>FairFace - Race<br>acc.</nobr> | <nobr>FairFace - Race<br>per bucket std.</nobr> | <nobr>FairFace - Age<br>acc.</nobr> | <nobr>FairFace - Age<br>per bucket std.</nobr> |
-|:---------------------|--------:|----------------------------:|-----------------------:|--------------------------:|---------------------:|-------------------------:|--------------------:|
-| IDEFICS 80B          |       0 |                        95.8 |                    1.0 |                      64.1 |                 16.1 |                     51.0 |                 2.9 |
-| IDEFICS 9B           |       0 |                        94.4 |                    2.2 |                      55.3 |                 13.0 |                     45.1 |                 2.9 |
-| IDEFICS 80B Instruct |       0 |                        95.7 |                    2.4 |                      63.4 |                 25.6 |                     47.1 |                 2.9 |
-| IDEFICS 9B Instruct  |       0 |                        92.7 |                    6.3 |                      59.6 |                 22.2 |                     43.9 |                 3.9 |
+| Model | Shots | <nobr>FairFaceGender<br>acc. (std)</nobr> | <nobr>FairFaceRace<br>acc. (std)</nobr> | <nobr>FairFaceAge<br>acc. (std)</nobr> |
+| :--------------------- | --------: | ----------------------------: | --------------------------: | -------------------------: |
+| IDEFICS 80B | 0 | 95.8 (1.0) | 64.1 (16.1) | 51.0 (2.9) |
+| IDEFICS 9B | 0 | 94.4 (2.2) | 55.3 (13.0) | 45.1 (2.9) |
+| IDEFICS 80B Instruct | 0 | 95.7 (2.4) | 63.4 (25.6) | 47.1 (2.9) |
+| IDEFICS 9B Instruct | 0 | 92.7 (6.3) | 59.6 (22.2) | 43.9 (3.9) |
 
 
 | Model | Shots | <nobr>Task<br> | <nobr>Gender<br> | <nobr>White<br> | <nobr>Black<br> | <nobr>Latino_Hispanic<br> | <nobr>East<br> | <nobr>Southeast Asian<br> | <nobr>Indian<br> | <nobr>Middle Eastern<br> | <nobr>Average<br> |