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  language: en
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  license: mit
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  tags:
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- - expense-categorization
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- - financial-transactions
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- - machine-learning
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- - tax-compliance
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  model-index:
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- - name: Finlytic-Categorize
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- results:
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- - task:
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- type: expense-categorization
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- dataset:
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- name: finlytic-financial-data
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- type: financial-transactions
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 94.00
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- - name: Precision
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- type: precision
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- value: 91.00
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- - name: Recall
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- type: recall
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- value: 89.00
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- - name: F1-Score
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- type: f1
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- value: 90.00
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- source:
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- name: Internal Evaluation
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- url: https://huggingface.co/comethrusws/finlytic-categorize
 
 
 
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  ---
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  # Finlytic-Categorize
@@ -105,4 +108,4 @@ The model was evaluated using a hold-out validation set and achieved high accura
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  ## Contact
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- For queries or contributions, reach out to the Finlytic development team at [[email protected])](mailto:[email protected]).
 
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  language: en
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  license: mit
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  tags:
5
+ - expense-categorization
6
+ - financial-transactions
7
+ - machine-learning
8
+ - tax-compliance
9
  model-index:
10
+ - name: Finlytic-Categorize
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+ results:
12
+ - task:
13
+ type: expense-categorization
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+ dataset:
15
+ name: finlytic-financial-data
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+ type: financial-transactions
17
+ metrics:
18
+ - name: Accuracy
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+ type: accuracy
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+ value: 94
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+ - name: Precision
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+ type: precision
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+ value: 91
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+ - name: Recall
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+ type: recall
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+ value: 89
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+ - name: F1-Score
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+ type: f1
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+ value: 90
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+ source:
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+ name: Internal Evaluation
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+ url: https://huggingface.co/comethrusws/finlytic-categorize
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+ base_model: openai-community/gpt2
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+ base_model:
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+ - openai-community/gpt2
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  ---
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  # Finlytic-Categorize
 
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  ## Contact
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+ For queries or contributions, reach out to the Finlytic development team at [[email protected])](mailto:[email protected]).