Update README to correct model info

README.md

@@ -1,19 +1,19 @@
----
-license: other
-license_name: govtech-singapore
-license_link: LICENSE
-datasets:
-- gabrielchua/off-topic
-language:
-- en
-metrics:
-- roc_auc
-- f1
-- precision
-- recall
-base_model:
-- cross-encoder/stsb-roberta-base
----
+---
+license: other
+license_name: govtech-singapore
+license_link: LICENSE
+datasets:
+- gabrielchua/off-topic
+language:
+- en
+metrics:
+- roc_auc
+- f1
+- precision
+- recall
+base_model:
+- cross-encoder/stsb-roberta-base
+---
 
 # Off-Topic Classification Model
 
@@ -21,8 +21,8 @@ This model leverages a fine-tuned **Cross Encoder STSB Roberta Base** to perform
 
 ## Model Highlights
 
-- **Base Model**: [`stsb-roberta-base`](https://huggingface.co/sentence-transformers/stsb-roberta-base)
-- **Maximum Context Length**: 1024 tokens
+- **Base Model**: [`stsb-roberta-base`](https://huggingface.co/cross-encoder/stsb-roberta-base)
+- **Maximum Context Length**: 514 tokens
 - **Task**: Binary classification (on-topic/off-topic)
 
 ## Performance