Update README.md

README.md

@@ -5,12 +5,6 @@ datasets:
 base_model:
 - google-bert/bert-base-multilingual-cased
 ---
-
-this is the first multilingual gender classification model that can classify Male, Female, and Non-Binary just from text with 80% accuracy.
-
-# big challenges of making this:
-- Classification models will just start doing catastrophic forgetting if you fine-tune them on too much data as classifying gender from text is hard
-
 # fine-tuning details:
 - batch size: 64
 - steps (including warm up steps): 5000