Update README.md

README.md

@@ -1,5 +1,20 @@
 ---
 base_model: bert-base-multilingual-uncased
+model-index:
+  - name: lang-recogn-model
+    results:
+      - task:
+          type: text-classification
+        dataset:
+          name: ai2_arc
+          type: ai2_arc
+        metrics:
+          - name: accuracy
+            type: accuracy
+            value: 0.9836
+        source:
+          name: Language Detection Dataset
+          url: https://www.kaggle.com/datasets/basilb2s/language-detection
 ---
 
 # Language Detection Model
@@ -11,7 +26,30 @@ pretrained on [multilingual texts](https://huggingface.co/bert-base-multilingual
 
 The model has been fine-tuned based on [Language Detection](https://www.kaggle.com/datasets/basilb2s/language-detection) 
 dataset found on *Kaggle*. The entire process of the dataset analysis as well as a complete description of the training procedure
-can be found in [one of my *Kaggle* notebooks](https://www.kaggle.com/code/sergeypolivin/language-recognition-using-bert) which has been used for the purpose of a faster model training on *GPU*.
+can be found in [one of my *Kaggle* notebooks](https://www.kaggle.com/code/sergeypolivin/language-recognition-using-bert) 
+which has been used for the purpose of a faster model training on *GPU*.
+
+## Supported languages
+
+The model has been fine-tuned to detect one of the following 17 languages:
+
+- Arabic
+- Danish
+- Dutch
+- English
+- French
+- German
+- Greek
+- Hindi
+- Italian
+- Kannada
+- Malayalam
+- Portugeese
+- Russian
+- Spanish
+- Sweedish
+- Tamil
+- Turkish
 
 ## References