Update README.md

README.md

@@ -10,7 +10,7 @@ metrics:
 - pearsonr
 base_model:
 - answerdotai/ModernBERT-base
-pipeline_tag: sentence-similarity
+pipeline_tag: text-classification
 library_name: sentence-transformers
 tags:
 - cross-encoder
@@ -21,32 +21,32 @@ tags:
 model-index:
 - name: CrossEncoder based on answerdotai/ModernBERT-base
   results:
-    - task:
-        type: semantic-similarity
-        name: Semantic Similarity
-      dataset:
-        name: sts test
-        type: sts-test
-      metrics:
-        - type: pearson_cosine
-          value: 0.9162245947821821
-          name: Pearson Cosine
-        - type: spearman_cosine
-          value: 0.9121555789491528
-          name: Spearman Cosine
-    - task:
-        type: semantic-similarity
-        name: Semantic Similarity
-      dataset:
-        name: sts dev
-        type: sts-dev
-      metrics:
-        - type: pearson_cosine
-          value: 0.9260833551026787
-          name: Pearson Cosine
-        - type: spearman_cosine
-          value: 0.9236030687487745
-          name: Spearman Cosine
+  - task:
+      type: semantic-similarity
+      name: Semantic Similarity
+    dataset:
+      name: sts test
+      type: sts-test
+    metrics:
+    - type: pearson_cosine
+      value: 0.9162245947821821
+      name: Pearson Cosine
+    - type: spearman_cosine
+      value: 0.9121555789491528
+      name: Spearman Cosine
+  - task:
+      type: semantic-similarity
+      name: Semantic Similarity
+    dataset:
+      name: sts dev
+      type: sts-dev
+    metrics:
+    - type: pearson_cosine
+      value: 0.9260833551026787
+      name: Pearson Cosine
+    - type: spearman_cosine
+      value: 0.9236030687487745
+      name: Spearman Cosine
 ---
 # ModernBERT Cross-Encoder: Semantic Similarity (STS)