Update README.md

README.md

@@ -225,12 +225,7 @@ You can finetune this model on your own dataset.
 
 * Size: 25,300 training samples
 * Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>texts</code>
-* Approximate statistics based on the first 1000 samples:
-  |         | sentence1                                                                         | sentence2                                                                        | texts                              |
-  |:--------|:----------------------------------------------------------------------------------|:---------------------------------------------------------------------------------|:-----------------------------------|
-  | type    | string                                                                            | string                                                                           | list                               |
-  | details | <ul><li>min: 3 tokens</li><li>mean: 16.76 tokens</li><li>max: 77 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 7.99 tokens</li><li>max: 16 tokens</li></ul> | <ul><li>size: 2 elements</li></ul> |
-
+* 
 * Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
   ```json
   {
@@ -246,17 +241,7 @@ You can finetune this model on your own dataset.
 
 * Size: 5,422 evaluation samples
 * Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>texts</code>
-* Approximate statistics based on the first 1000 samples:
-  |         | sentence1                                                                         | sentence2                                                                        | texts                              |
-  |:--------|:----------------------------------------------------------------------------------|:---------------------------------------------------------------------------------|:-----------------------------------|
-  | type    | string                                                                            | string                                                                           | list                               |
-  | details | <ul><li>min: 3 tokens</li><li>mean: 16.96 tokens</li><li>max: 93 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 7.96 tokens</li><li>max: 16 tokens</li></ul> | <ul><li>size: 2 elements</li></ul> |
-* Samples:
-  | sentence1                                                                 | sentence2                                                     | texts                                                                                                                             |
-  |:--------------------------------------------------------------------------|:--------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------|
-  | <code>MMS SDPA PROXY APPL - GELISTIRME</code>                             | <code>Software</code>                                         | <code>['MMS SDPA PROXY APPL - GELISTIRME', 'Software']</code>                                                                     |
-  | <code>IPHONE 13 PINK 128GB-TUR</code>                                     | <code>Communications Devices and Accessories</code>           | <code>['IPHONE 13 PINK 128GB-TUR', 'Communications Devices and Accessories']</code>                                               |
-  | <code>12FMTPEf( Elite Female ) x 06LCDX Outdor Cable , 5.0mm , 50m</code> | <code>Electrical equipment and components and supplies</code> | <code>['12FMTPEf( Elite Female ) x 06LCDX Outdor Cable , 5.0mm , 50m', 'Electrical equipment and components and supplies']</code> |
+
 * Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
   ```json
   {