Update README.md

README.md

@@ -55,9 +55,15 @@ widget:
   - Tshirts
   - Fall
   - Casual
+license: mit
+datasets:
+- MohamedAshraf701/Products-Details
+language:
+- en
+new_version: MohamedAshraf701/multi-qa-MiniLM-L6-cos-v1-products
 ---
 
-# SentenceTransformer based on sentence-transformers/multi-qa-MiniLM-L6-cos-v1
+# SentenceTransformer based on MohamedAshraf701/multi-qa-MiniLM-L6-cos-v1-products
 
 This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/multi-qa-MiniLM-L6-cos-v1](https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1). It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
 
@@ -104,7 +110,7 @@ Then you can load this model and run inference.
 from sentence_transformers import SentenceTransformer
 
 # Download from the 🤗 Hub
-model = SentenceTransformer("sentence_transformers_model_id")
+model = SentenceTransformer("MohamedAshraf701/multi-qa-MiniLM-L6-cos-v1-products")
 # Run inference
 sentences = [
     'Men',
@@ -165,14 +171,14 @@ You can finetune this model on your own dataset.
 
 
 * Size: 44,072 training samples
-* Columns: <code>sentence_0</code>, <code>sentence_1</code>, <code>sentence_2</code>, <code>sentence_3</code>, <code>sentence_4</code>, <code>sentence_5</code>, <code>sentence_6</code>, and <code>sentence_7</code>
+* Columns: <code>gender</code>, <code>masterCategory</code>, <code>subCategory</code>, <code>articleType</code>, <code>baseColour</code>, <code>season</code>, <code>usage</code>, and <code>sentence_7</code>
 * Approximate statistics based on the first 1000 samples:
-  |         | sentence_0                                                                     | sentence_1                                                                      | sentence_2                                                                      | sentence_3                                                                     | sentence_4                                                                      | sentence_5                                                                     | sentence_6                                                                     | sentence_7                                                                        |
+  |         | sentence_0                                                                     | sentence_1                                                                      | productDisplayName                                                                      | sentence_3                                                                     | sentence_4                                                                      | sentence_5                                                                     | sentence_6                                                                     | sentence_7                                                                        |
   |:--------|:-------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:-------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:-------------------------------------------------------------------------------|:-------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
   | type    | string                                                                         | string                                                                          | string                                                                          | string                                                                         | string                                                                          | string                                                                         | string                                                                         | string                                                                            |
   | details | <ul><li>min: 3 tokens</li><li>mean: 3.1 tokens</li><li>max: 5 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.26 tokens</li><li>max: 4 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.62 tokens</li><li>max: 7 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.9 tokens</li><li>max: 7 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.08 tokens</li><li>max: 5 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.0 tokens</li><li>max: 3 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.0 tokens</li><li>max: 3 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 10.13 tokens</li><li>max: 28 tokens</li></ul> |
 * Samples:
-  | sentence_0         | sentence_1               | sentence_2         | sentence_3                | sentence_4         | sentence_5          | sentence_6          | sentence_7                                            |
+  | gender         | masterCategory               | subCategory         | articleType                | baseColour         | season          | usage          | productDisplayName                                            |
   |:-------------------|:-------------------------|:-------------------|:--------------------------|:-------------------|:--------------------|:--------------------|:------------------------------------------------------|
   | <code>Women</code> | <code>Footwear</code>    | <code>Shoes</code> | <code>Heels</code>        | <code>Gold</code>  | <code>Summer</code> | <code>Casual</code> | <code>Enroute Women Gold Flats</code>                 |
   | <code>Men</code>   | <code>Accessories</code> | <code>Belts</code> | <code>Belts</code>        | <code>Black</code> | <code>Fall</code>   | <code>Casual</code> | <code>Wrangler Textured Men Black Belts</code>        |