Update README.md

README.md

@@ -4,6 +4,9 @@ license: apache-2.0
 base_model: bert-base-uncased
 tags:
 - generated_from_trainer
+- legal
+- India
+- BERT
 metrics:
 - precision
 - recall
@@ -12,6 +15,8 @@ metrics:
 model-index:
 - name: legal_ai_India_ner_results
   results: []
+datasets:
+- opennyaiorg/InLegalNER
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,7 +34,7 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model classifies named entities from the Dataset of India supreme court judgements.
 
 ## Intended uses & limitations
 
@@ -37,7 +42,7 @@ More information needed
 
 ## Training and evaluation data
 
-More information needed
+Training and Evaluation Data is taken from the opennyaiorg/INLegalNer dataset
 
 ## Training procedure
 
@@ -67,4 +72,4 @@ The following hyperparameters were used during training:
 - Transformers 4.48.2
 - Pytorch 2.5.1+cu124
 - Datasets 3.2.0
-- Tokenizers 0.21.0
+- Tokenizers 0.21.0