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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, and this project adheres to Semantic Versioning.

[0.18.2+melior1.1.6] - 2019-03-10

Added

  • Makefile to upload package to Melior's Pypi server
  • Drone config to upload package to Melior's Pypi server automatically.

Changed

  • Setup to include upload, test, dev and extra requires.

[0.18.2+melior1.1.5] - 2019-02-04

Added

  • Pre-commit hooks added.

Changed

  • Drone config to run just one instance.

[0.18.2+melior1.1.4] - 2019-01-29

Fixed

  • Even when save_model_every_epoch the las model was not saved.

[0.18.2+melior1.1.3] - 2019-01-29

Fixed

  • os.mkdir replaced to os.makedirs to create all the intermediate directories

[0.18.2+melior1.1.2] - 2019-01-27

Fixed

  • shutil.rmtree error not handled
  • delete_worst_models was somehow deleted during old merge conflict

[0.18.2+melior1.1.1] - 2019-01-21

Added

  • Makefile added with formatter, linter and test comands.
  • requirements-dev.txt and requirementes.txt with new dependecies.
  • sentence-transformers wrapper to easaly extract embeddings.
  • Drone corectly configured.
  • Some simple tests.

Changed

  • Renamed library to melior-transformers
  • Almost all files are formatted, linted and the imports are sorted.

[0.18.2+melior1.1.0] - 2019-01-16

Added

  • metric_criteria and save_n_best_epochs parameters added. These allow to save the best model.
  • Renamed library to meliorTransformers
  • README and versioning file update
  • Added .drone.yml placeholder

0.18.2 - 2020-01-15

Added

  • Added option to turn off model saving at the end of every epoch with save_model_every_epoch.

Fixed

  • Fixed bug with missing tensorboard_folder key in certain situations.

Changed

  • Moved args items common to all classes to one place (config/global_args.py) for maintainability.

0.18.1 - 2020-01-15

Fixed

  • Fixed bug with missing regression key when using MultiLabelClassification.

0.18.0 - 2020-01-15

Added

  • Sentence pair tasks are now supported.
  • Regression tasks are now supported.
  • use_cached_eval_features to args. Evaluation during training will now use cached features by default. Set to False if features should be reprocessed.

Changed

  • Checkpoints saved at the end of an epoch now follow the `checkpoint-{global_step}-epoch-{epoch_number} format.

0.17.1 - 2020-01-14

Fixed

  • Fixed wandb_kwargs key missing in args bug.

0.17.0 - 2020-01-14

Added

  • Added new model XLM-RoBERTa. Can now be used with ClassificationModel and NERModel.

0.16.6 - 2020-01-13

Added

  • Added evaluation scores from end-of-epoch evaluation to training_progress_scores.csv.

Fixed

  • Typos in README.md.

0.16.5 - 2020-01-09

Fixed

  • Reverted missed logging commands to print statements.

0.16.4 - 2020-01-09

Changed

  • Removed logging import.

0.16.3 - 2020-01-09

Fixed

  • Reverted to using print instead of logging as logging seems to be causing issues.

0.16.2 - 2020-01-08

Changed

  • Changed print statements to logging.

0.16.1 - 2020-01-07

Added

  • Added wandb_kwargs to args which can be used to specify keyword arguments to wandb.init() method.

0.16.0 - 2020-01-07

Added

  • Added support for training visualization using the W&B framework.
  • Added save_eval_checkpoints attribute to args which controls whether or not a model checkpoint will be saved with every evaluation.

0.15.7 - 2020-01-05

Added

  • Added **kwargs for different accuracy measures during multilabel training.

0.15.6 - 2020-01-05

Added

  • Added train_loss to training_progress_scores.csv (which contains the evaluation results of all checkpoints) in the output directory.

0.15.5 - 2020-01-05

Added

  • Using evaluate_during_training now generates training_progress_scores.csv (which contains the evaluation results of all checkpoints) in the output directory.

[0.15.4+melior1.0.0] - 2019-01-13

Fixed

  • sliding_window removed in order to have direct compatibility with Transformers models.
  • metric_criteria and save_n_best_epochs parameters added. These allow to save the best model.

0.15.4 - 2019-12-31

Fixed

  • Fixed bug in QuestonAnsweringModel when using evaluate_during_training.

0.15.3 - 2019-12-31

Fixed

  • Fixed bug in MultiLabelClassificationModel due to tensorboard_dir being missing in parameter dictionary.

Changed

  • Renamed tensorboard_folder to tensorboard_dir for consistency.

0.15.2 - 2019-12-28

Added

  • Added tensorboard_folder to parameter dictionary which can be used to specify the directory in which the tensorboard files will be stored.

0.15.1 - 2019-12-27

Added

  • Added **kwargs to support different accuracy measures at training time.

0.15.0 - 2019-12-24

Added

  • Added evaluate_during_training_steps parameter that specifies when evaluation should be performed during training.

Changed

  • A model checkpoint will be created for each evaluation during training and the evaluation results will be saved along with the model.

0.14.0 - 2019-12-24

Added

  • Added option to specify a GPU to be used when multiple GPUs are available. E.g.: cuda_device=1
  • Added do_lower_case argument for uncased models.

Fixed

  • Fixed possible bug with output directory not being created before evaluation is run when using evaluate_during_training.

0.13.4 - 2019-12-21

Fixed

  • Fixed bug with when using eval_during_training with QuestionAnswering model.

0.13.3 - 2019-12-21

Fixed

  • Fixed bug with loading Multilabel classification models.
  • Fixed formatting in README.md.

0.13.2 - 2019-12-20

Fixed

  • Fixed formatting in README.md.

0.13.1 - 2019-12-20

Fixed

  • Bug in Multilabel Classification due to missing entries in default args dict.

0.13.0 - 2019-12-19

Added

  • Sliding window feature for Binary and Multiclass Classification tasks.

0.12.0 - 2019-12-19

Added

  • Minimal examples have been added to the examples directory as Python scripts.

Changed

  • Readme updated to include the addition of examples.

0.11.2 - 2019-12-18

Fixed

  • Evaluation during training fixed for multilabel classification.

0.11.1 - 2019-12-18

Fixed

  • Broken multiprocessing support for NER tasks fixed.

0.11.0 - 2019-12-15

Added

  • CamemBERT can now be used with NERModel.

Changed

  • Readme changed to include CamemBERT for NER.

0.10.8 - 2019-12-15

Added

  • DistilBERT can now be used with NERModel.

Changed

  • Readme changed to include DistilBERT for NER.

0.10.7 - 2019-12-15

Added

  • This CHANGELOG file to hopefully serve as an evolving example of a standardized open source project CHANGELOG.