model update

README.md

@@ -91,7 +91,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5567765567765568
+      value: 0.2986577181208054
   - task:
       name: Analogy Questions (TREX Analogy)
       type: multiple-choice-qa
@@ -102,7 +102,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8363095238095238
+      value: 0.5191256830601093
   - task:
       name: Lexical Relation Classification (BLESS)
       type: classification
@@ -186,8 +186,8 @@ This model achieves the following results on the relation understanding tasks:
     - Accuracy on U2: 0.6008771929824561
     - Accuracy on U4: 0.6111111111111112
     - Accuracy on Google: 0.908
-    - Accuracy on ConceptNet Analogy: 0.5567765567765568
-    - Accuracy on T-Rex Analogy: 0.8363095238095238
+    - Accuracy on ConceptNet Analogy: 0.2986577181208054
+    - Accuracy on T-Rex Analogy: 0.5191256830601093
 - Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/relbert-roberta-large-triplet-a-semeval2012/raw/main/classification.json)):
     - Micro F1 score on BLESS: 0.9059816182009944
     - Micro F1 score on CogALexV: 0.8582159624413146