Update README.md

README.md

@@ -12,24 +12,6 @@ widget:
 model-index:
 - name: Sociovestix/lenu_US-NY
   results:
-  - task:
-      type: text-classification
-      name: Text Classification
-    dataset:
-      name: lenu
-      type: Sociovestix/lenu
-      config: US-NY
-      split: test
-      revision: fbe0b4b5b8d6950c10f5710f2c987728635a4afe
-    metrics:
-    - type: f1
-      value: 0.9506172839506173
-      name: f1
-    - type: f1
-      value: 0.5638405396306392
-      name: f1 macro
-      args:
-        average: macro
   - task:
       type: text-classification
       name: Text Classification
@@ -53,7 +35,7 @@ model-index:
 # LENU - Legal Entity Name Understanding for US New York
 
 
-A [finbert](https://huggingface.co/yiyanghkust/finbert-pretrain) model fine-tuned on US New York legal entity names (jurisdiction US-NY) from the Global [Legal Entity Identifier](https://www.gleif.org/en/about-lei/introducing-the-legal-entity-identifier-lei)
+A [BERT](https://huggingface.co/google-bert/bert-base-uncased) based model fine-tuned on US New York legal entity names (jurisdiction US-NY) from the Global [Legal Entity Identifier](https://www.gleif.org/en/about-lei/introducing-the-legal-entity-identifier-lei)
 (LEI) System with the goal to detect [Entity Legal Form (ELF) Codes](https://www.gleif.org/en/about-lei/code-lists/iso-20275-entity-legal-forms-code-list).
 
 ---------------
@@ -84,7 +66,7 @@ The model has been trained on the dataset [lenu](https://huggingface.co/datasets
 
 - **Developed by:** [GLEIF](https://gleif.org) and [Sociovestix Labs](https://huggingface.co/Sociovestix)
 - **License:** Creative Commons (CC0) license
-- **Finetuned from model [optional]:** yiyanghkust/finbert-pretrain
+- **Finetuned from model [optional]:** bert-base-uncased
 - **Resources for more information:** [Press Release](https://www.gleif.org/en/newsroom/press-releases/machine-learning-new-open-source-tool-developed-by-gleif-and-sociovestix-labs-enables-organizations-everywhere-to-automatically-)
 
 # Uses