Update README.md

README.md

@@ -4,26 +4,10 @@ tags:
 - sentence-transformers
 - text-classification
 - generated_from_setfit_trainer
-metrics:
-- accuracy
 pipeline_tag: text-classification
 library_name: setfit
 inference: true
 base_model: sentence-transformers/paraphrase-mpnet-base-v2
-model-index:
-- name: Information Content Classification using SetFit with Base sentence-transformers/paraphrase-mpnet-base-v2
-  results:
-  - task:
-      type: text-classification
-      name: Text Classification
-    dataset:
-      name: information_content_03042025
-      type: internal
-      split: test
-    metrics:
-    - type: accuracy
-      value: 0.975
-      name: Accuracy
 ---
 
 
@@ -106,4 +90,4 @@ pred_probability = model.predict_proba("Paris is in France")
     year = {2022},
     copyright = {Creative Commons Attribution 4.0 International}
 }
-```
+```