Simpletransformers

Added

- Added support for T5 Model.
- Added `do_sample` arg to language generation.
- `NERModel.predict()` now accepts a `split_on_space` optional argument. If set to `False`, `to_predict` must be a a list of lists, with the inner list being a list of strings consisting of the split sequences. The outer list is the list of sequences to predict on.

Changed

- `eval_df` argument in `NERModel.train_model()` renamed to `eval_data` to better reflect the input format. Added Deprecation Warning.

Fixed

- Specifying `verbose=False` in `LanguageGenerationModel.generate()` method now correctly silences logger output.

Added

- Added Electra model support for sequence classification (binary, multiclass, multilabel)
- Added Electra model support for question answering
- Added Roberta model support for question answering

Changed

- Reduced logger messages during question answering evaluation