Update README.md

README.md

@@ -1,3 +1,20 @@
 ---
 license: apache-2.0
+language:
+- nl
+pipeline_tag: text-classification
 ---
+
+Fine-tuned model for detecting instances of abusive language in Ducth tweets. The model has been trained with [DALC v2.0 ](https://github.com/tommasoc80/DALC).
+
+Abusive language is defined as "Impolite, harsh, or hurtful language (that may contain profanities or vulgar language) that result in a debasement, harassment,
+threat, or aggression of an individual or a (social) group, but not necessarily of an entity, an institution, an organisations, or a concept." ([Ruitenbeek et al., 2022](https://aclanthology.org/2022.woah-1.5/))
+
+The model achieve the following results on multiple test data:
+
+- DALC held-out test set: macro F1: 72.23; F1 Abusive: 51.60
+- HateCheck-NL (functional benchmark for hate speech): Accuracy: 60.19;  Accuracy non-hateful tests: 57.38 ; Accuracy hateful tests: 59.58
+- OP-NL (dynamyc benchmark for offensive language): macro F1: 57.57
+
+More details on the training settings and pre-processind are available [here](https://github.com/tommasoc80/DALC)
+