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  # # Our experiment
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  - The category mapping:
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-
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  category_mapping = {
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-
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  'Politics':1,
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  'Finance':2,
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  'Medical':3,
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  }
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  - Training parameters
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-
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  | | |
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  | :-------------------: | :-----------:|
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  | Training batch size | `8` |
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  | | |
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  - Results
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-
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  | | |
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  | :---------------------: | :-----------: |
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  | Validation Loss | `0.0479` |
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  | CGRU | 93.43% |
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  | HANGRU | 95.81% |
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  # # Example usage
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  ```python
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  from transformers import T5ForConditionalGeneration, T5Tokenizer
 
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  # # Our experiment
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  - The category mapping:
 
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  category_mapping = {
 
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  'Politics':1,
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  'Finance':2,
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  'Medical':3,
 
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  }
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  - Training parameters
 
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  | | |
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  | :-------------------: | :-----------:|
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  | Training batch size | `8` |
 
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  | | |
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  - Results
 
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  | | |
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  | :---------------------: | :-----------: |
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  | Validation Loss | `0.0479` |
 
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  | CGRU | 93.43% |
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  | HANGRU | 95.81% |
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  # # Example usage
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  ```python
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  from transformers import T5ForConditionalGeneration, T5Tokenizer