Model Description
- Based on the uncased BERT pretrained model with a linear output layer.
- Added several commonly-used emoji and tokens to the special token list of the tokenizer.
- Did label smoothing while training.
- Used weighted loss and focal loss to help the cases which trained badly.
Results
Best Result of Macro F1 - 53%
Tutorial Link
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