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Browse files- README.md +25 -25
- model.safetensors +1 -1
README.md
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- source_sentence: Reeds Farm Weathered Black Sofa Table
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sentences:
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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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- source_sentence: Bedford Park Gray And Forged Iron Sofa Table
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sentences:
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- source_sentence: Linwood Brown Chairside Chest
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sentences:
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- source_sentence: Fischer Saddle Leather Power Reclining Sofa with Power Headrest
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sentences:
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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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]
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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:
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* Samples:
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| sentence_0 | sentence_1
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| <code>Amite Dark Gray Power Double Reclining Sofa</code> | <code>
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| <code>Alpine White Microfiber Full Sofa Bed</code> | <code>
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| <code>Island Fusion Medium Coconut Shell Brown Turtle Island Console Table</code> | <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.
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| 2.2523 | 1000 | 2.
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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:
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- 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:
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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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- 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
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model.safetensors
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