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README.md
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@@ -159,30 +159,6 @@ You can finetune this model on your own dataset.
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### Training Dataset
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#### Unnamed Dataset
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* Size: 1,175 training samples
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* Columns: <code>sentence_0</code>, <code>sentence_1</code>, and <code>label</code>
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* Approximate statistics based on the first 1000 samples:
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| | sentence_0 | sentence_1 | label |
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|:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:---------------------------------------------------------------|
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| type | string | string | float |
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| details | <ul><li>min: 20 tokens</li><li>mean: 38.36 tokens</li><li>max: 59 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 36.28 tokens</li><li>max: 107 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.19</li><li>max: 1.0</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>636 M.1, Tambon Thaiban, Amphoe Mueang Samut Prakan, Samut Prakan Province 10280</code> | <code>Sukhumvit Road, Samut Prakan Province (Robinson)</code> | <code>0.0</code> |
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| <code>25/5, Moo 2, Bang Kaeo, Bang Phli, Samut Prakan 10540</code> | <code>Wat Nam Daeng, Samut Prakan Province (From Srinakarin Road Have been in Soi Wat Nam Daeng for a while The shop is on the right. Before reaching Preecha Village)</code> | <code>0.0</code> |
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| <code>10/1 M.8, Soi Srinakarin, Bangmueang Subdistrict, Mueang Samut Prakan District, Samut Prakan Province 10270</code> | <code>Soi Paul Hospital Samut Prakan Province (Opposite Building 2, Paul Hospital)</code> | <code>0.0</code> |
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* Loss: [<code>CoSENTLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosentloss) with these parameters:
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```json
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{
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"scale": 20.0,
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"similarity_fct": "pairwise_cos_sim"
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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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### Training Dataset
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### Training Hyperparameters
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#### Non-Default Hyperparameters
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