Update README.md

README.md

@@ -91,62 +91,6 @@ SentenceTransformer(
 )
 ```
 
-## Usage
-
-### Direct Usage (Sentence Transformers)
-
-First install the Sentence Transformers library:
-
-```bash
-pip install -U sentence-transformers
-```
-
-Then you can load this model and run inference.
-```python
-from sentence_transformers import SentenceTransformer
-
-# Download from the 🤗 Hub
-model = SentenceTransformer("sentence_transformers_model_id")
-# Run inference
-sentences = [
-    '한 소녀가 자전거를 타고 있고 모든 사람들이 도시에서 그녀에게 달려들고 있다.',
-    '소녀가 자전거를 타고 있다.',
-    '소녀는 자전거를 탄다',
-]
-embeddings = model.encode(sentences)
-print(embeddings.shape)
-# [3, 1024]
-
-# Get the similarity scores for the embeddings
-similarities = model.similarity(embeddings, embeddings)
-print(similarities.shape)
-# [3, 3]
-```
-
-<!--
-### Direct Usage (Transformers)
-
-<details><summary>Click to see the direct usage in Transformers</summary>
-
-</details>
--->
-
-<!--
-### Downstream Usage (Sentence Transformers)
-
-You can finetune this model on your own dataset.
-
-<details><summary>Click to expand</summary>
-
-</details>
--->
-
-<!--
-### Out-of-Scope Use
-
-*List how the model may foreseeably be misused and address what users ought not to do with the model.*
--->
-
 ## Evaluation
 
 ### Metrics
@@ -155,13 +99,12 @@ You can finetune this model on your own dataset.
 
 | Metrics | sigridjineth/ModernBERT-korean-large-preview | Alibaba-NLP/gte-multilingual-base | answerdotai/ModernBERT-large |
 |------|----------------------------------------------|-----------------------------------|------------------------------|
-| **메인 스코어 (NDCG@10)** | 0.72503 | 0.77108 | 0.0 |
+| **NDCG@10** | 0.72503 | 0.77108 | 0.0 |
 | **Recall@10** | 0.87719 | 0.93860 | 0.0 |
 | **Precision@1** | 0.57018 | 0.59649 | 0.0 |
 | **NDCG@100** | 0.74543 | 0.78411 | 0.01565 |
 | **Recall@100** | 0.98246 | 1.0 | 0.09649 |
 | **Recall@1000** | 1.0 | 1.0 | 1.0 |
-| **실행 시간 (초)** | 47.7 | 9.6 | 46.7 |
 
 #### Triplet