Update README.md

README.md

@@ -12,7 +12,7 @@ language_creators:
 
 ---
 
-# {MODEL_NAME}
+# stsb-xlm-r-multilingual-ro
 
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
@@ -75,18 +75,22 @@ print("Sentence embeddings:")
 print(sentence_embeddings)
 ```
 
-
-
-## Evaluation Results
-
-<!--- Describe how your model was evaluated -->
-
-For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
-
-
 ## Training
 The model was trained with the parameters:
 
+**DataSet**:
+[STS-ro](https://www.SBERT.net)
+The text dataset is in Romanian (ro). Score is from 0 to 5, that why I divide score by 5, becouse the score for  EmbeddingSimilarityEvaluator (evaluator for finetune) need  to be from 0 to 1.
+Dataset Structure:
+```
+{
+'score': 1.5,
+ 'sentence1': 'Un bărbat cântă la harpă.',
+ 'sentence2': 'Un bărbat cântă la claviatură.',
+}
+```
+
+
 **DataLoader**:
 
 `torch.utils.data.dataloader.DataLoader` of length 223 with parameters:
@@ -127,4 +131,4 @@ SentenceTransformer(
 
 ## Citing & Authors
 
-<!--- Describe where people can find more information -->
+# BlackKakapo