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v3.1.0

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@jfcrenshaw jfcrenshaw released this 12 Apr 18:08
· 5 commits to main since this release
8e7a03f
  • Added validation loss tracking to the training method
  • After training, rather than saving the parameters from the final epoch of training, the parameters from the epoch with the best loss are saved. If a validation set is provided, this reference loss is the validation loss. If not, the reference loss is the training loss.