model update

README.md

@@ -102,7 +102,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5081967213114754
+      value: 0.5191256830601093
   - task:
       name: Analogy Questions (NELL-ONE Analogy)
       type: multiple-choice-qa
@@ -198,7 +198,7 @@ This model achieves the following results on the relation understanding tasks:
     - Accuracy on U4: 0.6157407407407407
     - Accuracy on Google: 0.934
     - Accuracy on ConceptNet Analogy: 0.3674496644295302
-    - Accuracy on T-Rex Analogy: 0.5081967213114754
+    - Accuracy on T-Rex Analogy: 0.5191256830601093
     - Accuracy on NELL-ONE Analogy: 0.61
 - Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/relbert-roberta-large-nce-e-semeval2012/raw/main/classification.json)):
     - Micro F1 score on BLESS: 0.9213500075335241