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@@ -23,32 +23,12 @@ It achieves the following results on the evaluation set:
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  - Accuracy: 0.9482
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  ## Model description
 
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  This model classifies a resume section into 12 classes.
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  ### Possible classes for a resume section
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- **awards**,
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- **certificates**,
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- **contact/name/title**,
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- **education**,
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- **interests**,
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- **languages**,
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- **para**,
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- **professional_experiences**,
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- **projects**
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- **skills**
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- **soft_skills**
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- **summary**
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  ### Training hyperparameters
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  - Accuracy: 0.9482
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  ## Model description
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+
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  This model classifies a resume section into 12 classes.
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  ### Possible classes for a resume section
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ **awards**, **certificates**, **contact/name/title**, **education**, **interests**, **languages**, **para**, **professional_experiences**, **projects**, **skills**, **soft_skills**, **summary**.
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  ### Training hyperparameters
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