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Update README.md
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README.md
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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` - 70%
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## Tutorial Link
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- [GitHub](https://github.com/justin871030/GoEmotions)
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