| datasets: | |
| - breadlicker45/gender-bluesky-classification-v4 | |
| base_model: | |
| - Lajavaness/bilingual-embedding-base | |
| It's 48% accurate at guessing male, female, and non-binary. (random guessing is 33.33% accurate) | |
| But I am aware it is biased towards males because of a data diversity issue. | |
| The diversity issues being I collected different post amounts based on each user's account gender. | |
| I plan to fix this in v5. |