Update README.md

README.md

@@ -13,12 +13,17 @@ model-index:
 
 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']
+Polish: Fakt, Rzeczpospolita, Gazeta Wyborcza
+English: The Times, The Guardian, The Sun
+Dutch: De Telegraaf, NRC, Volkskrant
+Spanish: El Mundo, El Pais, ABC
+German: Suddeutsche Zeitung, De Welt, Bild
 
+coding scheme: 
 
+ - "LABEL_0": negative,
+ - "LABEL_1": neutral,
+ - "LABEL_2": "positive"
 
 
 It achieves the following results on the evaluation set:
@@ -28,19 +33,6 @@ It achieves the following results on the evaluation set:
 - Validation Sparse Categorical Accuracy: 0.6434
 - Epoch: 4
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-Newpaper headline classification 
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
 
 ### Training hyperparameters
 
@@ -64,3 +56,4 @@ The following hyperparameters were used during training:
 - Transformers 4.26.0
 - TensorFlow 2.9.2
 - Tokenizers 0.13.2
+