Update README.md

README.md

@@ -25,17 +25,18 @@ print(pipeline('du bist blöd.'))
 ```
 
 
-## Training data
+## Training
 
 The pre-trained model [bert-base-german-cased model by deepset](https://huggingface.co/bert-base-german-cased) was fine-tuned on a crowd-annotated data set of over 14,000 user comments that has been labeled for toxicity in a binary classification task.
 
 As toxic, we defined comments that are inappropriate in whole or in part. By inappropriate, we mean comments that are rude, insulting, hateful, or otherwise make users feel disrespected.
 
-## Training procedure
 
 **Language model:** bert-base-cased   (~ 12GB)  
 **Language:** German  
+**Labels:** Toxicity (binary classification)
 **Training data:** User comments posted to webistes and facebook pages of German news media, user comments posted to online participation platforms (~ 14,000)
+**Labeling procedure:** Crowd annotation
 **Batch size:** 32  
 **Epochs:** 4  
 **Max. tokens length:** 512