2.3.8

[2.3.8]

Fixed

• Fix problem identified in issue #925 that caused learning rate
  warmup to fail in some instances when doing continued training

[2.3.7]

Changed

• Use dataclass module to simplify Config classes. No functional change.

[2.3.6]

Fixed

• Fixes the problem identified in issue #890, where the lr_scheduler
  does not behave as expected when continuing training. The problem is
  that the lr_scheduler is kept as part of the optimizer, but the
  optimizer is not saved when saving state. Therefore, every time
  training is restarted, a new lr_scheduler is created with initial
  parameter settings. Fix by saving and restoring the lr_scheduling
  separately.

[2.3.5]

Fixed

• Fixed issue with LearningRateSchedulerPlateauReduce.repr printing
  out num_not_improved instead of reduce_num_not_improved.

[2.3.4]

Fixed

• Fixed issue with dtype mismatch in beam search when translating with --dtype float16.

[2.3.3]

Changed

• Upgraded SacreBLEU dependency of Sockeye to a newer version (1.4.14).