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  2. Added several commonly-used emoji and tokens to the special token list of the tokenizer.
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  3. Did label smoothing while training.
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  4. Used weighted loss and focal loss to help the cases which trained badly.
 
 
 
 
 
 
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  2. Added several commonly-used emoji and tokens to the special token list of the tokenizer.
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  3. Did label smoothing while training.
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  4. Used weighted loss and focal loss to help the cases which trained badly.
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+ ## Results
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+ Best Result of `Macro F1` - 53%
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+
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+ ## Tutorial Link
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+ - [GitHub](https://github.com/justin871030/GoEmotions)