Update README.md

README.md

@@ -7,12 +7,20 @@ model-index:
   results: []
 ---
 
-<!-- This model card has been generated automatically according to the information Keras had access to. You should
-probably proofread and complete it, then remove this comment. -->
+
 
 # multilingual_sentiment_newspaper_headlines
 
-This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on a dataset of 30k newspaper headlines in German, Polish, English, Dutch and Spanish. The dataset contains 6k headlines in each of the five languages. The newspapers used are as follows: 
+
+['fakt', 'Rzeczpospolita', 'gazeta_wyborcza', 'UK_times',
+       'guardian', 'UK_sun', 'NRC', 'de_telegraaf', 'volkskrant',
+       'el_mundo', 'el_pais', 'ABC_spain', 'suddeutsche_zeitung',
+       'De_Welt', 'Bild']
+
+
+
+
 It achieves the following results on the evaluation set:
 - Train Loss: 0.2886
 - Train Sparse Categorical Accuracy: 0.8688
@@ -26,7 +34,7 @@ More information needed
 
 ## Intended uses & limitations
 
-More information needed
+Newpaper headline classification 
 
 ## Training and evaluation data