Update README.md

README.md

@@ -1,4 +1,3 @@
-# 03062025_V2_UMAP_Embedding_Classifier
 ---
 language:
   - en
@@ -13,19 +12,21 @@ metrics:
 datasets:
   - 112_Tiering_Questions_02.28.2025.json
 model-index:
-  - name: "03062025_V2_UMAP_Embedding_Classifier"
+  - name: 03062025_V2_UMAP_Embedding_Classifier
     results:
       - task:
           type: text-classification
           name: Binary Classification
         dataset:
-          name: "112_Tiering_Questions_02.28.2025.json"
+          name: 112_Tiering_Questions_02.28.2025.json
           type: tabular
         metrics:
           - type: accuracy
             value: 0.9565
 ---
 
+# 03062025_V2_UMAP_Embedding_Classifier
+
 This repository contains two final AutoGluon TabularPredictor models (binary and multi-class) built using UMAP-reduced embeddings from the [Alibaba-NLP/gte-large-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-large-en-v1.5) model.
 
 ## Key Details