Update README.md

README.md

@@ -8,8 +8,7 @@ tags:
 - loss:CosineSimilarityLoss
 base_model: answerdotai/ModernBERT-base
 widget:
-- source_sentence: 우리는 움직이는 동행 우주 정지 좌표계에 비례하여 이동하고 있습니다 ... 약 371km / s에서 별자리 leo
-    쪽으로. "
+- source_sentence: 우리는 움직이는 동행 우주 정지 좌표계에 비례하여 이동하고 있습니다 ... 약 371km / s에서 별자리 leo 쪽으로. "
   sentences:
   - 두 마리의 독수리가 가지에 앉는다.
   - 다른 물체와는 관련이 없는 '정지'는 없다.
@@ -34,9 +33,6 @@ widget:
   - 우리와 같은 태양계가 은하계 밖에서 존재할 수도 있을 것입니다.
   - 그 여자는 데이트하러 가는 중이다.
   - 녹색 버스가 도로를 따라 내려간다.
-datasets:
-- x2bee/Korean_NLI_dataset
-- CocoRoF/sts_dev
 pipeline_tag: sentence-similarity
 library_name: sentence-transformers
 metrics:
@@ -51,7 +47,7 @@ metrics:
 - pearson_max
 - spearman_max
 model-index:
-- name: SentenceTransformer based on x2bee/KoModernBERT-base-mlm-v03-ckp00
+- name: SentenceTransformer based on answerdotai/ModernBERT-base
   results:
   - task:
       type: semantic-similarity
@@ -94,18 +90,16 @@ model-index:
 
 # SentenceTransformer based on x2bee/KoModernBERT-base-mlm-v03-ckp00
 
-This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [x2bee/KoModernBERT-base-mlm-v03-ckp00](https://huggingface.co/x2bee/KoModernBERT-base-mlm-v03-ckp00) on the [korean_nli_dataset](https://huggingface.co/datasets/x2bee/Korean_NLI_dataset) dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the [korean_nli_dataset](https://huggingface.co/datasets/x2bee/Korean_NLI_dataset) dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
 
 ## Model Details
 
 ### Model Description
 - **Model Type:** Sentence Transformer
-- **Base model:** [x2bee/KoModernBERT-base-mlm-v03-ckp00](https://huggingface.co/x2bee/KoModernBERT-base-mlm-v03-ckp00) <!-- at revision addb15798678d7f76904915cf8045628d402b3ce -->
+- **Base model:** [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) <!-- at revision addb15798678d7f76904915cf8045628d402b3ce -->
 - **Maximum Sequence Length:** 512 tokens
 - **Output Dimensionality:** 768 dimensions
 - **Similarity Function:** Cosine Similarity
-- **Training Dataset:**
-    - [korean_nli_dataset](https://huggingface.co/datasets/x2bee/Korean_NLI_dataset)
 <!-- - **Language:** Unknown -->
 <!-- - **License:** Unknown -->