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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog.

[0.4.0] - 2021-02-21

  • Increased minimum versions of dependencies (transformers to 4.3.0, pytorch-lightning to 1.2.0)
    • Remove dependency on tokenizers as transformers pins it.
  • Made Fast tokenizers the default (as it is the default in transformers 4.0.0)
  • Made serialized tokenizers the default for custom tokenizers, and added support for loading them for both aitextgen and TokenDatasets
  • Added gradient checkpointing for GPT-2, and set it to the default for training 355M and 774M.
  • Added layer freezing to freeze the first n layers of GPT-2 while training. This allows 1.5B GPT-2 to be trained with a high n.
  • Added schema-based generation for specificed schema_tokens (which can be encoded in the Transformers config). This can be used with an appropriate dataset for schema-based generation.
  • Switched TensorFlow weight download URL from GCP (as OpenAI removed it from there) to Azure
  • Fixed issue where prompt character length was used to check for a too-long assert instead of prompt token length (#90)
  • Workaround breaking issue in Transformers 4.3.0 by moving special token stripping into aitextgen instead of the tokenizer (#90)
  • Added an lstrip param to generation, which strips all whitespace at the beginning of generated text (related to point above)

[0.3.0] - 2020-11-30

  • Increased minimum versions of dependencies (transformers to 4.0.0, pytorch-lightning to 1.0.8, Pytorch to 1.6)
  • Fixed imports to account for new Transfomers file architecture
  • Fixed training to account for new transformer/pytorch-lightning minimums
  • Fully removed TorchScript code (ONNX implementation will supercede it)
  • Made prompt specification for generation more canonical with Transformers
  • Set default vocab size for new tokenizers to 1000
  • Began work on serializing tokenizers in accordance to the new tokenizers approach

[0.2.1] - 2020-06-28

Added

  • CHANGELOG.md

[0.2.0] - 2020-06-01

Added

  • Progress bar for loading a dataset.
  • progress_bar_refresh_rate parameter for train() and TokenDataset().

Changed

  • Set numpy data store for TokenDataset.
  • Set single-text files to be loaded delimited as newlines.

Removed

  • shuffle and seed parameters for TokenDataset.

[0.1.1] - 2020-05-17

Changed

  • Set generate() defaults to max_length=256 and temperature=0.7.
  • Added to docs notes about GPT-2 maximum length of 1024.

[0.1] - 2020-05-17

Added

  • Everything!