  "created). If continuing to train an existing model, specify the location of "
  "the existing model."
  msgstr ""
  
  #: lib/cli/args.py:963
  msgid ""
  "R|Load the weights from a pre-existing model into a newly created model. For "
  "most models this will load weights from the Encoder of the given model into "
  "the encoder of the newly created model. Some plugins may have specific "
  "configuration options allowing you to load weights from other layers. "
 
</s> remove #: lib/cli/args.py:1014
 </s> add #: lib/cli/args.py:1013 </s> remove #: lib/cli/args.py:951
 </s> add #: lib/cli/args.py:950 </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 </s> remove #: plugins/train/_config.py:341
 </s> add #: plugins/train/_config.py:388 </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
#: lib/cli/args.py:962
  "created). If continuing to train an existing model, specify the location of "
  "the existing model."
  msgstr ""
  
#: lib/cli/args.py:962
  msgid ""
  "R|Load the weights from a pre-existing model into a newly created model. For "
  "most models this will load weights from the Encoder of the given model into "
  "the encoder of the newly created model. Some plugins may have specific "
  "configuration options allowing you to load weights from other layers. "
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