Updated README

README.md

@@ -5,27 +5,25 @@ metrics:
 - accuracy
 model-index:
 - name: greek-media-bert-base-uncased
+- results: []
 ---
 
 
 # Greek Media BERT
 
-This model is a domain-adapted version of [nlpaueb/bert-base-greek-uncased-v1](https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1) on Greek media centric dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.1287
-- Accuracy: 0.7616
+This model is a domain-adapted version of [nlpaueb/bert-base-greek-uncased-v1](https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1) on Greek media centric data.
 
 ## Model description
 
-More information needed
+Details will be updated soon.
 
 ## Intended uses & limitations
 
-More information needed
+Details will be updated soon.
 
 ## Training and evaluation data
 
-More information needed
+Details will be updated soon.
 
 ## Training procedure
 
@@ -41,8 +39,7 @@ The following hyperparameters were used during training:
 - num_epochs: 3.0
 
 ### Training results
-
-
+Details will be updated soon.
 
 ### Framework versions
 
@@ -51,3 +48,29 @@ The following hyperparameters were used during training:
 - Tensorflow 2.11.0
 - Datasets 2.3.2
 - Tokenizers 0.12.1
+
+### Citation
+
+The model has been officially released with the article "PIMA: Parameter-shared Intelligent Media Analytics Framework for Low Resource Language. 
+Dimitrios Zaikis, Nikolaos Stylianou and Ioannis Vlahavas. 
+In the Special Issue: New Techniques of Machine Learning and Deep Learning in Text Classification, Applied Sciences Journal. 
+2023" (https://www.mdpi.com/).
+
+_Article has been accepted for publication. Details will be updated soon._
+
+If you use the model, please cite the following:
+
+```bibtex
+@Article{greek-media-bert-base-uncased,
+    AUTHOR = {Zaikis, Dimitrios and Stylianou, Nikolaos and Vlahavas, Ioannis},
+    TITLE = {PIMA: Parameter-shared Intelligent Media Analytics Framework for Low Resource Language},
+    JOURNAL = {Applied Sciences},
+    VOLUME = {},
+    YEAR = {2023},
+    NUMBER = {},
+    ARTICLE-NUMBER = {},
+    URL = {https://www.mdpi.com/},
+    ISSN = {},
+    DOI = {}
+}
+```