v0.2.0

• Add support for GLUE benchmark tasks.
• Support text-pair classification. The specifics of this are likely to change, but you can see run_glue.py for current usage.
• Improve reliability of tokenization and alignment.
• Add support for segment IDs to the PyTT_Wrapper class. These can now be passed in as a second column of the RaggedArray input. See the model_registry.get_word_pieces function for example usage.
• Set default maximum sequence length to 128.
• Fix bug that caused settings not to be passed into PyTT_TextCategorizer on model initialization.
• Fix serialization of XLNet model.

v0.1.1

• Handle unaligned tokens in extension attributes.

v0.1.0

⚠️ This version requires downloading new models.

• Fix issue #15: Fix serialization of config and make models load correctly offline.
• Improve accuracy of textcat by passing hyper-parameters correctly (Adam epsilon, L2).
• Support pooler output for BERT model.
• Add fine_tune_pooler_output model architecture option for pytt_textcat.
• Add Glue benchmark script in examples/tasks/run_glue.py.
• Improve overall stability.

v0.0.1

Tidy up