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  1. README.md +25 -25
  2. model.safetensors +1 -1
README.md CHANGED
@@ -13,30 +13,30 @@ datasets: []
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  widget:
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  - source_sentence: Reeds Farm Weathered Black Sofa Table
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  sentences:
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- - 'Category: Sofas'
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- - 'Category: Sofas'
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- - 'Category: Side Tables & Sofa Tables'
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  - source_sentence: Fortuna Coffee Leather Power Reclining Sofa with Power Headrest
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  And Footrest
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  sentences:
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- - 'Category: Sofas'
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- - 'Category: Side Tables & Sofa Tables'
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- - 'Category: Sofas'
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  - source_sentence: Bedford Park Gray And Forged Iron Sofa Table
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  sentences:
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- - 'Category: Sofas'
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- - 'Category: Side Tables & Sofa Tables'
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- - 'Category: Side Tables & Sofa Tables'
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  - source_sentence: Linwood Brown Chairside Chest
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  sentences:
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- - 'Category: Sofas'
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- - 'Category: Sofas'
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- - 'Category: Sofas'
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  - source_sentence: Fischer Saddle Leather Power Reclining Sofa with Power Headrest
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  sentences:
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- - 'Category: Sofas'
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- - 'Category: Side Tables & Sofa Tables'
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- - 'Category: Side Tables & Sofa Tables'
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  pipeline_tag: sentence-similarity
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  ---
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@@ -90,8 +90,8 @@ model = SentenceTransformer("sentence_transformers_model_id")
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  # Run inference
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  sentences = [
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  'Fischer Saddle Leather Power Reclining Sofa with Power Headrest',
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- 'Category: Sofas',
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- 'Category: Side Tables & Sofa Tables',
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  ]
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  embeddings = model.encode(sentences)
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  print(embeddings.shape)
@@ -152,13 +152,13 @@ You can finetune this model on your own dataset.
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  | | sentence_0 | sentence_1 | label |
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  |:--------|:---------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:------------------------------------------------|
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  | type | string | string | int |
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- | details | <ul><li>min: 5 tokens</li><li>mean: 9.54 tokens</li><li>max: 21 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 7.54 tokens</li><li>max: 9 tokens</li></ul> | <ul><li>0: ~52.00%</li><li>1: ~48.00%</li></ul> |
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  * Samples:
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- | sentence_0 | sentence_1 | label |
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- |:----------------------------------------------------------------------------------|:-----------------------------|:---------------|
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- | <code>Amite Dark Gray Power Double Reclining Sofa</code> | <code>Category: Sofas</code> | <code>1</code> |
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- | <code>Alpine White Microfiber Full Sofa Bed</code> | <code>Category: Sofas</code> | <code>1</code> |
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- | <code>Island Fusion Medium Coconut Shell Brown Turtle Island Console Table</code> | <code>Category: Sofas</code> | <code>0</code> |
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  * Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
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  ```json
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  {
@@ -291,8 +291,8 @@ You can finetune this model on your own dataset.
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  ### Training Logs
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  | Epoch | Step | Training Loss |
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  |:------:|:----:|:-------------:|
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- | 1.1261 | 500 | 2.7748 |
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- | 2.2523 | 1000 | 2.7661 |
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  ### Framework Versions
 
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  widget:
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  - source_sentence: Reeds Farm Weathered Black Sofa Table
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  sentences:
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+ - Sofas
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+ - Sofas
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+ - Side Tables & Sofa Tables
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  - source_sentence: Fortuna Coffee Leather Power Reclining Sofa with Power Headrest
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  And Footrest
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  sentences:
22
+ - Sofas
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+ - Side Tables & Sofa Tables
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+ - Sofas
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  - source_sentence: Bedford Park Gray And Forged Iron Sofa Table
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  sentences:
27
+ - Sofas
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+ - Side Tables & Sofa Tables
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+ - Side Tables & Sofa Tables
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  - source_sentence: Linwood Brown Chairside Chest
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  sentences:
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+ - Sofas
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+ - Sofas
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+ - Sofas
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  - source_sentence: Fischer Saddle Leather Power Reclining Sofa with Power Headrest
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  sentences:
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+ - Sofas
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+ - Side Tables & Sofa Tables
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+ - Side Tables & Sofa Tables
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  pipeline_tag: sentence-similarity
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  ---
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  # Run inference
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  sentences = [
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  'Fischer Saddle Leather Power Reclining Sofa with Power Headrest',
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+ 'Sofas',
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+ 'Side Tables & Sofa Tables',
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  ]
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  embeddings = model.encode(sentences)
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  print(embeddings.shape)
 
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  | | sentence_0 | sentence_1 | label |
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  |:--------|:---------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:------------------------------------------------|
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  | type | string | string | int |
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+ | details | <ul><li>min: 5 tokens</li><li>mean: 9.54 tokens</li><li>max: 21 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 5.54 tokens</li><li>max: 7 tokens</li></ul> | <ul><li>0: ~52.00%</li><li>1: ~48.00%</li></ul> |
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  * Samples:
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+ | sentence_0 | sentence_1 | label |
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+ |:----------------------------------------------------------------------------------|:-------------------|:---------------|
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+ | <code>Amite Dark Gray Power Double Reclining Sofa</code> | <code>Sofas</code> | <code>1</code> |
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+ | <code>Alpine White Microfiber Full Sofa Bed</code> | <code>Sofas</code> | <code>1</code> |
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+ | <code>Island Fusion Medium Coconut Shell Brown Turtle Island Console Table</code> | <code>Sofas</code> | <code>0</code> |
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  * Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
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  ```json
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  {
 
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  ### Training Logs
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  | Epoch | Step | Training Loss |
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  |:------:|:----:|:-------------:|
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+ | 1.1261 | 500 | 2.7766 |
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+ | 2.2523 | 1000 | 2.766 |
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  ### Framework Versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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