A single training/test example for simple sequence classification.

A single set of features of data.

A basic Adam optimizer that includes "correct" L2 weight decay.

Runs basic tokenization (punctuation splitting, lower casing, etc.).

Configuration for `BertModel`.

Processor for the XNLI data set.

Runs WordPiece tokenziation.

BERT model ("Bidirectional Encoder Representations from Transformers"). Example usage: ```python # Already been converted into WordPiece token

Base class for data converters for sequence classification data sets.

Runs end-to-end tokenziation.

Fake example so the num input examples is a multiple of the batch size. When running eval/predict on the TPU, we need to pad the number of examples