Baseline Model

[rafecchang]

Here I did hyperparameter optimization with all augmented data as train and the test data provided as validation. Then I used the hyperparameters to train and save a disterbert model.

[rafecchang]

Something went wrong in this branch. Check out baselineModel1 branch for the content.

In Rafe_dev:

• hyperopt.ipynb is the hyperparameter optimization notebook for baseline model
• preprocess.ipynb is the data augmentation notebook for 100% of the train data
• savebaseline.ipynb is the creation of baseline model using the optimal hyperparameter and augmented data

In model:

• model.zip is the trained model