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@@ -193,45 +193,13 @@ You can finetune this model on your own dataset.
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  }
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  ```
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- ### Evaluation Dataset
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- #### triplet
 
 
 
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- * Dataset: triplet
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- * Size: 7,267 evaluation samples
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- * Columns: <code>anchor</code>, <code>positive</code>, <code>negative_1</code>, <code>negative_2</code>, and <code>negative_3</code>
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- * Approximate statistics based on the first 1000 samples:
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- | | anchor | positive | negative_1 | negative_2 | negative_3 |
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- |:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
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- | type | string | string | string | string | string |
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- | details | <ul><li>min: 6 tokens</li><li>mean: 13.62 tokens</li><li>max: 46 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 13.58 tokens</li><li>max: 39 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 18.32 tokens</li><li>max: 107 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 18.1 tokens</li><li>max: 174 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 18.26 tokens</li><li>max: 172 tokens</li></ul> |
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- * Samples:
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- | anchor | positive | negative_1 | negative_2 | negative_3 |
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- |:------------------------------------------------------------------------------------|:---------------------------------------------------------------|:------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|
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- | <code>How do I make friends in office?</code> | <code>How can I make friends in office?</code> | <code>How do I lose friends in office?</code> | <code>How do I lose enemies in office?</code> | <code>I already have plenty of friends at work.</code> |
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- | <code>Is it good to do MBA after Engineering?</code> | <code>Is it necessary to do MBA after Engineering?</code> | <code>Is learning to code essential for a successful marketing career?</code> | <code>Not necessarily; an MBA isn't *always* the best next step after engineering – practical experience or specialized master's degrees can be more valuable depending on career goals.</code> | <code>Is it bad to do MBA after Engineering?</code> |
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- | <code>How I should fix my computer while it is showing no boot device found?</code> | <code>How do I fix the "Boot device not found" problem?</code> | <code>My computer is booting normally and does not have any issues with the boot device.</code> | <code>I should not fix my computer while it is showing no boot device found.</code> | <code>When will I break my phone while it is showing full boot device found?</code> |
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- * Loss: [<code>MatryoshkaLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters:
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- ```json
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- {
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- "loss": "CachedMultipleNegativesRankingLoss",
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- "matryoshka_dims": [
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- 768,
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- 512,
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- 256,
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- 128,
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- 64
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- ],
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- "matryoshka_weights": [
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- 1,
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- 1,
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- 1,
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- 1,
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- 1
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- ],
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- "n_dims_per_step": -1
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- }
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- ```
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  ### Training Hyperparameters
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  #### Non-Default Hyperparameters
 
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  }
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  ```
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+ ### Evaluation
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+ ![medical](medical.png)
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+ ![redis](redis.png)
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+ ![quora](quora.png)
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+ ![negation](negation.png)
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  ### Training Hyperparameters
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  #### Non-Default Hyperparameters