  "that would be created by the chosen plugin and configuration settings is "
  "displayed."
  msgstr ""
  
  #: lib/cli/args.py:1014
  msgid ""
  "Freeze the weights of the model. Freezing weights means that some of the "
  "parameters in the model will no longer continue to learn, but those that are "
  "not frozen will continue to learn. For most models, this will freeze the "
  "encoder, but some models may have configuration options for freezing other "
 
</s> remove #: lib/cli/args.py:963
 </s> add #: lib/cli/args.py:962 </s> remove #: lib/cli/args.py:1004
 </s> add #: lib/cli/args.py:1003 </s> remove #: lib/cli/args.py:1027 lib/cli/args.py:1039 lib/cli/args.py:1050
#: lib/cli/args.py:1061 lib/cli/args.py:1144
 </s> add #: lib/cli/args.py:1026 lib/cli/args.py:1038 lib/cli/args.py:1052
#: lib/cli/args.py:1067 lib/cli/args.py:1075 </s> remove #: plugins/train/_config.py:341
 </s> add #: plugins/train/_config.py:388 </s> remove #: lib/cli/args.py:1079 lib/cli/args.py:1089
 </s> add #: lib/cli/args.py:1068
msgid ""
"Disables TensorBoard logging. NB: Disabling logs means that you will not be "
"able to use the graph or analysis for this session in the GUI."
msgstr ""

#: lib/cli/args.py:1076
msgid ""
"Use the Learning Rate Finder to discover the optimal learning rate for "
"training. For new models, this will calculate the optimal learning rate for "
"the model. For existing models this will use the optimal learning rate that "
"was discovered when initializing the model. Setting this option will ignore "
"the manually configured learning rate (configurable in train settings)."
msgstr ""

#: lib/cli/args.py:1089 lib/cli/args.py:1099
#: lib/cli/args.py:1013
  "that would be created by the chosen plugin and configuration settings is "
  "displayed."
  msgstr ""
  
#: lib/cli/args.py:1013
  msgid ""
  "Freeze the weights of the model. Freezing weights means that some of the "
  "parameters in the model will no longer continue to learn, but those that are "
  "not frozen will continue to learn. For most models, this will freeze the "
  "encoder, but some models may have configuration options for freezing other "
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/lib.cli.args.pot