  "AutoClip: Adaptive Gradient Clipping for Source Separation Networks https://"
  "arxiv.org/abs/2007.14469"
  msgstr ""
  
  #: plugins/train/_config.py:296 plugins/train/_config.py:308
  #: plugins/train/_config.py:322 plugins/train/_config.py:339
  msgid "network"
  msgstr ""
  
  #: plugins/train/_config.py:298
  msgid ""
 
</s> remove #: plugins/train/_config.py:298
 </s> add #: plugins/train/_config.py:345 </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 </s> remove #: plugins/train/_config.py:290
 </s> add #: plugins/train/_config.py:337 </s> remove #: plugins/train/_config.py:386
 </s> add #: plugins/train/_config.py:433 </s> remove #: lib/cli/args.py:1130
 </s> add #: lib/cli/args.py:1140
#: plugins/train/_config.py:343 plugins/train/_config.py:355
#: plugins/train/_config.py:369 plugins/train/_config.py:386
  "AutoClip: Adaptive Gradient Clipping for Source Separation Networks https://"
  "arxiv.org/abs/2007.14469"
  msgstr ""
  
#: plugins/train/_config.py:343 plugins/train/_config.py:355
#: plugins/train/_config.py:369 plugins/train/_config.py:386
#: plugins/train/_config.py:343 plugins/train/_config.py:355
#: plugins/train/_config.py:369 plugins/train/_config.py:386
  msgid "network"
  msgstr ""
  
  #: plugins/train/_config.py:298
  msgid ""
keep keep keep keep replace 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