Update README.md

README.md

@@ -35,57 +35,6 @@ widget:
   - 녹색 버스가 도로를 따라 내려간다.
 pipeline_tag: sentence-similarity
 library_name: sentence-transformers
-metrics:
-- pearson_cosine
-- spearman_cosine
-- pearson_euclidean
-- spearman_euclidean
-- pearson_manhattan
-- spearman_manhattan
-- pearson_dot
-- spearman_dot
-- pearson_max
-- spearman_max
-model-index:
-- name: SentenceTransformer based on answerdotai/ModernBERT-base
-  results:
-  - task:
-      type: semantic-similarity
-      name: Semantic Similarity
-    dataset:
-      name: sts dev
-      type: sts_dev
-    metrics:
-    - type: pearson_cosine
-      value: 0.8273878707711191
-      name: Pearson Cosine
-    - type: spearman_cosine
-      value: 0.8298080691919564
-      name: Spearman Cosine
-    - type: pearson_euclidean
-      value: 0.8112987734110177
-      name: Pearson Euclidean
-    - type: spearman_euclidean
-      value: 0.8214596205940881
-      name: Spearman Euclidean
-    - type: pearson_manhattan
-      value: 0.8125188338482303
-      name: Pearson Manhattan
-    - type: spearman_manhattan
-      value: 0.8226861322419045
-      name: Spearman Manhattan
-    - type: pearson_dot
-      value: 0.7646820898603437
-      name: Pearson Dot
-    - type: spearman_dot
-      value: 0.7648333772102188
-      name: Spearman Dot
-    - type: pearson_max
-      value: 0.8273878707711191
-      name: Pearson Max
-    - type: spearman_max
-      value: 0.8298080691919564
-      name: Spearman Max
 ---
 
 # SentenceTransformer based on answerdotai/ModernBERT-base
@@ -175,28 +124,6 @@ You can finetune this model on your own dataset.
 *List how the model may foreseeably be misused and address what users ought not to do with the model.*
 -->
 
-## Evaluation
-
-### Metrics
-
-#### Semantic Similarity
-
-* Dataset: `sts_dev`
-* Evaluated with [<code>EmbeddingSimilarityEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator)
-
-| Metric             | Value      |
-|:-------------------|:-----------|
-| pearson_cosine     | 0.8273     |
-| spearman_cosine    | 0.8298     |
-| pearson_euclidean  | 0.8112     |
-| spearman_euclidean | 0.8214     |
-| pearson_manhattan  | 0.8125     |
-| spearman_manhattan | 0.8226     |
-| pearson_dot        | 0.7648     |
-| spearman_dot       | 0.7648     |
-| pearson_max        | 0.8273     |
-| **spearman_max**   | **0.8298** |
-
 <!--
 ## Bias, Risks and Limitations