Added model evaluation results

README.md

@@ -8,6 +8,9 @@ metrics:
 model-index:
 - name: Sinhala-toxic-bert
   results: []
+language:
+- si
+pipeline_tag: text-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -20,17 +23,17 @@ It achieves the following results on the evaluation set:
 - Loss: 0.2358
 - F1: 0.8877
 
-## Model description
-
-More information needed
-
 ## Intended uses & limitations
 
 More information needed
 
 ## Training and evaluation data
 
-More information needed
+Labels
+```plaintext
+  NEGATIVE: 1
+  POSITIVE: 0
+```
 
 ## Training procedure
 
@@ -60,10 +63,27 @@ The following hyperparameters were used during training:
 | 0.2272        | 0.72  | 900  | 0.2424          | 0.8878 |
 | 0.2331        | 0.8   | 1000 | 0.2358          | 0.8877 |
 
+Model performance on validation dataset
+
+```plaintext
+              precision    recall  f1-score   support
+
+           0       0.95      0.92      0.93      6943
+           1       0.82      0.88      0.84      2913
+
+    accuracy                           0.90      9856
+   macro avg       0.88      0.90      0.89      9856
+weighted avg       0.91      0.90      0.91      9856
+```
+
+<img 
+  src="https://cdn-uploads.huggingface.co/production/uploads/60f2e10dadf471cbdf8bb661/Yi9TbdOF6CoMfKk40Bcvu.png" 
+  alt="Confusion Matrix on Validation Data" 
+  width="300">
 
 ### Framework versions
 
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu118
 - Datasets 2.15.0
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0