Update README.md

README.md

@@ -1,6 +1,4 @@
 ---
-datasets: []
-language: []
 library_name: sentence-transformers
 pipeline_tag: sentence-similarity
 tags:
@@ -8,11 +6,14 @@ tags:
 - sentence-similarity
 - feature-extraction
 widget: []
+license: mit
+base_model:
+- BAAI/bge-m3
 ---
 
-# SentenceTransformer
+# BGE-M3 Lingustic Transfer (Catalan-French)
 
-This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+This is a [bge-m3](https://huggingface.co/BAAI/bge-m3) model post-trained on translated French to Catalan queries and French documents from MMARCO/v2 
 
 ## Model Details
 
@@ -22,15 +23,13 @@ This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps
 - **Maximum Sequence Length:** 8192 tokens
 - **Output Dimensionality:** 1024 tokens
 - **Similarity Function:** Cosine Similarity
-<!-- - **Training Dataset:** Unknown -->
+- **Training Dataset:** MMARCO/v2
 <!-- - **Language:** Unknown -->
 <!-- - **License:** Unknown -->
 
 ### Model Sources
 
-- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
-- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
-- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
+- **Hugging Face:** [Original BGE-M3 on Hugging Face](https://huggingface.co/BAAI/bge-m3)
 
 ### Full Model Architecture