  "testing for further description. Profile faces may result in sub-par "
  "performance."
  msgstr ""
  
  #: plugins/train/_config.py:597
  msgid ""
  "Apply gaussian blur to the mask input. This has the effect of smoothing the "
  "edges of the mask, which can help with poorly calculated masks and give less "
  "of a hard edge to the predicted mask. The size is in pixels (calculated from "
  "a 128px mask). Set to 0 to not apply gaussian blur. This value should be "
 
</s> remove #: plugins/train/_config.py:620
 </s> add #: plugins/train/_config.py:667 </s> remove #: plugins/train/_config.py:341
 </s> add #: plugins/train/_config.py:388 </s> remove #: lib/cli/args.py:533
 </s> add #: lib/cli/args.py:532 </s> remove #: lib/cli/args.py:523
 </s> add #: lib/cli/args.py:522 </s> remove #: plugins/train/_config.py:283
 </s> add #: plugins/train/_config.py:285 plugins/train/_config.py:297
#: plugins/train/_config.py:314
msgid "Learning Rate Finder"
msgstr ""

#: plugins/train/_config.py:287
msgid ""
"The number of iterations to process to find the optimal learning rate. "
"Higher values will take longer, but will be more accurate."
msgstr ""

#: plugins/train/_config.py:299
msgid ""
"The operation mode for the learning rate finder. Only applicable to new "
"models. For existing models this will always default to 'set'.\n"
"\tset - Train with the discovered optimal learning rate.\n"
"\tgraph_and_set - Output a graph in the training folder showing the "
"discovered learning rates and train with the optimal learning rate.\n"
"\tgraph_and_exit - Output a graph in the training folder with the discovered "
"learning rates and exit."
msgstr ""

#: plugins/train/_config.py:316
msgid ""
"How aggressively to set the Learning Rate. More aggressive can learn faster, "
"but is more likely to lead to exploding gradients.\n"
"\tdefault - The default optimal learning rate. A safe choice for nearly all "
"use cases.\n"
"\taggressive - Set's a higher learning rate than the default. May learn "
"faster but with a higher chance of exploding gradients.\n"
"\textreme - The highest optimal learning rate. A much higher risk of "
"exploding gradients."
msgstr ""

#: plugins/train/_config.py:330
#: plugins/train/_config.py:644
  "testing for further description. Profile faces may result in sub-par "
  "performance."
  msgstr ""
  
#: plugins/train/_config.py:644
  msgid ""
  "Apply gaussian blur to the mask input. This has the effect of smoothing the "
  "edges of the mask, which can help with poorly calculated masks and give less "
  "of a hard edge to the predicted mask. The size is in pixels (calculated from "
  "a 128px mask). Set to 0 to not apply gaussian blur. This value should be "
keep keep keep keep replace keep keep keep keep keep
 Learning Rate finder (#1341)

* Add LR Finder support structure

* Move trainer.Feeder to lib.training.generator

* Expose model.io

* Add lr_finder

* Update docs and locales

* Pre-PR fixups
  - Fix training graph not displaying
  - CI fixes
  - Switch lr finder progress to tqdm
  - Exit lr finder early on NaN
  - Display lr finder progress in GUI 
locales/plugins.train._config.pot