Update README.md

README.md

@@ -11,6 +11,10 @@ metrics:
 model-index:
 - name: DL_Audio_Hatespeech_wav2vec_trainer_push
   results: []
+datasets:
+- DL-Project/DL_Audio_Hatespeech_Dataset
+language:
+- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -26,6 +30,14 @@ It achieves the following results on the evaluation set:
 - Precision: 0.5990
 - F1: 0.6796
 
+It achieves the following results on the test set:
+- Loss: 0.6597
+- Accuracy: 0.6192
+- Recall: 0.7822
+- Precision: 0.5944
+- F1: 0.6755
+
+
 ## Model description
 
 More information needed
@@ -75,4 +87,4 @@ The following hyperparameters were used during training:
 - Transformers 4.40.2
 - Pytorch 2.2.1+cu121
 - Datasets 2.19.1
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1