Practical usage of KcBERT-nsmc
- Korean sentiment classifier based on pre-trained KcBERT and NSMC data (for fine tuning)
- Accuracy is 0.885 with decreased learning rate and about 2500 steps of fine tuning
- Load fine-tuned model on Flask for user interface - Provides a softmax score and argmax score for input sentence.