Update README.md

README.md

@@ -10,14 +10,17 @@ metrics:
 model-index:
 - name: roberta-issue-classifier
   results: []
+datasets:
+- JyotiNayak/political_ideologies
+language:
+- en
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+
 
 # roberta-issue-classifier
 
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on [this](https://huggingface.co/datasets/JyotiNayak/political_ideologies) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0945
 - Accuracy: 0.9844
@@ -25,7 +28,7 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+Issue Type Mapping: {'economic': 0, 'environmental': 1, 'family/gender': 2, 'geo-political and foreign policy': 3, 'political': 4, 'racial justice and immigration': 5, 'religious': 6, 'social, health and education': 7}
 
 ## Intended uses & limitations
 
@@ -65,4 +68,4 @@ The following hyperparameters were used during training:
 - Transformers 4.45.1
 - Pytorch 2.4.0
 - Datasets 3.0.1
-- Tokenizers 0.20.0
+- Tokenizers 0.20.0