Update README.md

README.md

@@ -8,6 +8,8 @@ metrics:
 - recall
 - f1
 - accuracy
+language:
+- sr
 model_index:
 - name: bert-srb-ner
   results:
@@ -25,7 +27,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-srb-ner
 
-This model was trained from scratch on the None dataset.
+This model was finetuned from Aleksandar/bert-srb-cased-oscar on the setimes.SR dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1647
 - Precision: 0.8247
@@ -35,11 +37,23 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+Default settings for BERT model, finetuned with batch size of 16. 
 
 ## Intended uses & limitations
-
-More information needed
+| Tag (IOB)   | Numerical representation | Meaning   (Beginning = B.,  Inside = I.) |
+|-------------|--------------------------|------------------------------------------|
+| O           | 0                        | Other                                    |
+| B-per       | 1                        | B.Person                                 |
+| I-per       | 2                        | I. Person                                |
+| B-org       | 3                        | B. organization                          |
+| I-org       | 4                        | I. organization                          |
+| B-loc       | 5                        | B. location                              |
+| I-loc       | 6                        | I. location                              |
+| B-misc      | 7                        | B. Miscellaneous                         |
+| I-misc      | 8                        | I. Miscellaneous                         |
+| B-deriv-per | 9                        | B. Derived Person                        |
+
+MIT license
 
 ## Training and evaluation data